diff --git a/BENCHMARKS.md b/BENCHMARKS.md
index 130bf66f..25015765 100644
--- a/BENCHMARKS.md
+++ b/BENCHMARKS.md
@@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains.
 ### Public numeric evidence registry
 
 Every exact public aggregate retained below comes from the checked-in, public-safe
-[`offline-fixtures-v114.json`](docs/benchmark-evidence/offline-fixtures-v114.json) artifact. Its
+[`offline-fixtures-v115.json`](docs/benchmark-evidence/offline-fixtures-v115.json) artifact. Its
 SHA-256 is
-`40188db31e07680e1c886ecec8ed523c6237858f0d5c63ef3159251c63538970`, also recorded in the
+`4d2cd6be29324597f0b201f8c0bd753173be69d24a274dff570c95c0db6ae629`, also recorded in the
 adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data,
 or per-record content fingerprints.
 
 The fixture-suite digest is
-`6347175b1e4b3760e23afe2dcb7722d48557f987c45c7fcbd4f115e1e7720b54`. The artifact defines
+`ddf3b70d426441a364ef02967f98454435ca045c3840e1c4b81ba05ab7f139bb`. The artifact defines
 the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID
 also binds its exact command through `sha256(UTF-8 exact command)`:
 
@@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr
 source artifacts but are omitted from the current chart until each has a matching immutable,
 public-safe artifact. The chart labels coding outcomes, external datasets, and operational
 capacity as pending evaluation tracks rather than implying scores. Regenerate it with
-`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v114.json --output docs/images/context-efficiency.svg` after selecting the report to publish.
+`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v115.json --output docs/images/context-efficiency.svg` after selecting the report to publish.
 
 The companion examples are also generated from that artifact with
-`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v114.json --output docs/images/evidence-backed-agent-examples.svg`.
+`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v115.json --output docs/images/evidence-backed-agent-examples.svg`.
 The historical-to-executable mapping is in
 [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md).
 
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 94720536..82b1b70d 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -7,6 +7,12 @@ All notable changes to Engraphis are documented here. Format loosely follows
 
 - Provide a valid offline decision example in Smart MCP action discovery.
 - Reject coerced numeric/string remote consent before Classic MCP can select a Jev backend.
+- Retain global entities referenced by workspace edges during secure erasure,
+  while preserving exact-workspace incidence checks for workspace-owned entities.
+- Preserve graph cache isolation, pause intent through WebGL context loss, and
+  theme-correct exported backgrounds.
+- Scope graph incidence queries to candidate entities and retain shared legacy
+  entities during secure erasure.
 - Require the credential-bound control origin before selecting managed Jev.
 - Bound chunked response trailers while retaining strict deadline completion checks.
 - Keep relocation policy behind domain storage operations and 500-memory moves
@@ -28,7 +34,9 @@ All notable changes to Engraphis are documented here. Format loosely follows
 - Recognize complete chunked refresh responses at the watchdog boundary without
   accepting a missing or truncated trailer terminator.
 - Rebuild FastMCP settings eagerly to avoid a forward-reference warning on newer SDKs.
-- Refreshed the public offline fixtures and source bindings in immutable v110 evidence.
+- Preserve CSS gradient tiles, screen blending and reduced-motion opacity in graph PNGs,
+  including fractional display scaling; synchronize graph cache metadata across threads.
+- Refreshed the public offline fixtures and source bindings in immutable v111 evidence.
 
 - Added saved project-to-workspace routing and connection instructions so agents can use the
   user's selected workspace. Routine MCP calls inherit an omitted workspace from an authorized
diff --git a/README.md b/README.md
index 8c8e0245..1f61854e 100644
--- a/README.md
+++ b/README.md
@@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase
 operational capacity remain separate pending evaluation tracks until their artifacts are selected.
 
 These values are evidence IDs `offline-chunking` and `offline-performance` in
-[`offline-fixtures-v114.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v114.json),
+[`offline-fixtures-v115.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v115.json),
 SHA-256
-`40188db31e07680e1c886ecec8ed523c6237858f0d5c63ef3159251c63538970`.
+`4d2cd6be29324597f0b201f8c0bd753173be69d24a274dff570c95c0db6ae629`.
 [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry)
 records the matching suite digest, exact commands, and per-command config digests. The offline
 fixture registry intentionally excludes external, model-dependent, consolidation, productivity,
diff --git a/docs/benchmark-evidence/offline-fixtures-v105.json b/docs/benchmark-evidence/offline-fixtures-v105.json
new file mode 100644
index 00000000..97e636ff
--- /dev/null
+++ b/docs/benchmark-evidence/offline-fixtures-v105.json
@@ -0,0 +1,694 @@
+{
+  "environment": {
+    "embedding": "deterministic",
+    "numpy": "2.4.6",
+    "platform": "win32",
+    "python": "3.11.15",
+    "vector_backend": "numpy"
+  },
+  "generated_on": "2026-09-29",
+  "privacy": {
+    "contains_answers": false,
+    "contains_customer_data": false,
+    "contains_per_record_fingerprints": false,
+    "contains_prompts": false,
+    "contains_raw_questions": false
+  },
+  "runs": [
+    {
+      "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.",
+      "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5",
+      "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8",
+      "config_digest_method": "sha256(UTF-8 exact command)",
+      "id": "offline-chunking",
+      "result": {
+        "chunked": {
+          "max_stored_tokens": 59,
+          "mean_context_tokens": 214.3,
+          "mean_evidence_tokens": 42.4,
+          "memories": 24,
+          "recall_at_k": 1.0
+        },
+        "context_reduction_pct": 71.1,
+        "documents": 6,
+        "k": 5,
+        "questions": 18,
+        "token_counter": "engraphis.chars4.v1",
+        "whole": {
+          "max_stored_tokens": 213,
+          "mean_context_tokens": 740.3,
+          "mean_evidence_tokens": 162.2,
+          "memories": 6,
+          "recall_at_k": 1.0
+        }
+      }
+    },
+    {
+      "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.",
+      "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json",
+      "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7",
+      "config_digest_method": "sha256(UTF-8 exact command)",
+      "id": "offline-performance",
+      "result": {
+        "answer_token_recall": 1.0,
+        "compact_serialized_payload_tokens": 11138,
+        "dataset_cases": 14,
+        "full_serialized_payload_tokens": 24590,
+        "hit_at_k": 1.0,
+        "k": 5,
+        "max_context_tokens": 108,
+        "mean_context_tokens": 85.38,
+        "memories": 44,
+        "packed_quality": {
+          "answer_token_recall": 1.0,
+          "hit_at_k": 1.0,
+          "recall_at_k": 1.0,
+          "sample_count": 26
+        },
+        "payload_boundary": {
+          "kind": "serialized_json_shape_proxy",
+          "mcp_envelope_serialized": false,
+          "token_counter": "engraphis.regex.v1",
+          "transport_measured": false
+        },
+        "quality_scope": {
+          "packed": "packed_quality fields score only chunks admitted to reader context",
+          "retrieved": "legacy quality fields score all candidate chunks returned before context packing"
+        },
+        "questions": 26,
+        "recall_at_k": 1.0,
+        "saved_serialized_payload_tokens": 13452,
+        "serialized_payload_savings_ratio": 0.5471,
+        "timed_recalls": 260,
+        "token_budget": 1500,
+        "token_counter": "engraphis.regex.v1"
+      }
+    },
+    {
+      "boundary": "Deterministic offline support/abstention fixture; not a frontier-model answer-quality score.",
+      "command": "python -m eval.grounded",
+      "config_digest": "590442e51e3642c10489165759919dc86ffac62c182937330c153e7f8d5fc26f",
+      "config_digest_method": "sha256(UTF-8 exact command)",
+      "id": "offline-grounded",
+      "result": {
+        "abstained": 6,
+        "answerable": 5,
+        "decision_accuracy": 1.0,
+        "grounded": 5,
+        "off_topic": 6,
+        "quarantine_hits": 1,
+        "quarantined": 1
+      }
+    }
+  ],
+  "schema": "engraphis-public-offline-fixtures/v1",
+  "suite": {
+    "digest": "66c27862c9c51f25364579ac2303d27995cb46644580be54ffadd28894f32f11",
+    "digest_method": "sha256(canonical compact JSON mapping each sorted path to its file SHA-256)",
+    "files": {
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+      "engraphis/graphdata.py": "f5dc93395f52203c66deaeec8bc58d5c1f990a35a535151e0b9a84cecf7d8430",
+      "engraphis/hosted_client.py": "5b56b0d2384cf24ecb409090af15f09e437ec8ab5a98bed931384daff46b4f48",
+      "engraphis/http_deadline.py": "8f41de086f36ab39d4e6461c6284c776e3b123afee845824e22f071ca128c918",
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diff --git a/docs/benchmark-evidence/offline-fixtures-v105.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v105.json.sha256
new file mode 100644
index 00000000..fbfa9559
--- /dev/null
+++ b/docs/benchmark-evidence/offline-fixtures-v105.json.sha256
@@ -0,0 +1 @@
+3c9145121733b6ec2a3d0eb1afa57b98937dfc0bbd90020dcda25af580cad7fd  offline-fixtures-v105.json
diff --git a/docs/benchmark-evidence/offline-fixtures-v107.json b/docs/benchmark-evidence/offline-fixtures-v107.json
new file mode 100644
index 00000000..2402412e
--- /dev/null
+++ b/docs/benchmark-evidence/offline-fixtures-v107.json
@@ -0,0 +1,694 @@
+{
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diff --git a/docs/benchmark-evidence/offline-fixtures-v107.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v107.json.sha256
new file mode 100644
index 00000000..1318cc83
--- /dev/null
+++ b/docs/benchmark-evidence/offline-fixtures-v107.json.sha256
@@ -0,0 +1 @@
+387bdeb9def3ccd681f8f7b0e4d5eb0fc87b72c9fc1dbb9e9bf986d29f6b77e1  offline-fixtures-v107.json
diff --git a/docs/benchmark-evidence/offline-fixtures-v109.json b/docs/benchmark-evidence/offline-fixtures-v109.json
new file mode 100644
index 00000000..e26cda39
--- /dev/null
+++ b/docs/benchmark-evidence/offline-fixtures-v109.json
@@ -0,0 +1,694 @@
+{
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diff --git a/docs/benchmark-evidence/offline-fixtures-v109.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v109.json.sha256
new file mode 100644
index 00000000..0f1a3a94
--- /dev/null
+++ b/docs/benchmark-evidence/offline-fixtures-v109.json.sha256
@@ -0,0 +1 @@
+3af7dd53733a9379a75dd7f6af977e58835b8b4611962b885b0617d1e8e1665e  offline-fixtures-v109.json
diff --git a/docs/benchmark-evidence/offline-fixtures-v111.json b/docs/benchmark-evidence/offline-fixtures-v111.json
new file mode 100644
index 00000000..97169066
--- /dev/null
+++ b/docs/benchmark-evidence/offline-fixtures-v111.json
@@ -0,0 +1,694 @@
+{
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diff --git a/docs/benchmark-evidence/offline-fixtures-v111.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v111.json.sha256
new file mode 100644
index 00000000..d58361e8
--- /dev/null
+++ b/docs/benchmark-evidence/offline-fixtures-v111.json.sha256
@@ -0,0 +1 @@
+35c3f6fcfddf5d22b2fcff8836ab20556bbe63b32d490cb6d45cadbffb4a2793  offline-fixtures-v111.json
diff --git a/docs/benchmark-evidence/offline-fixtures-v113.json b/docs/benchmark-evidence/offline-fixtures-v113.json
new file mode 100644
index 00000000..8516787e
--- /dev/null
+++ b/docs/benchmark-evidence/offline-fixtures-v113.json
@@ -0,0 +1,694 @@
+{
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diff --git a/docs/benchmark-evidence/offline-fixtures-v113.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v113.json.sha256
new file mode 100644
index 00000000..206c19cd
--- /dev/null
+++ b/docs/benchmark-evidence/offline-fixtures-v113.json.sha256
@@ -0,0 +1 @@
+7c36af2ac3a0e1338987eddf27160879012cd9d2c834fd348268f420d14a7761  offline-fixtures-v113.json
diff --git a/docs/benchmark-evidence/offline-fixtures-v115.json b/docs/benchmark-evidence/offline-fixtures-v115.json
new file mode 100644
index 00000000..82ad79c8
--- /dev/null
+++ b/docs/benchmark-evidence/offline-fixtures-v115.json
@@ -0,0 +1,694 @@
+{
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+      "eval/datasets/longdoc.jsonl": "7f5ade95e1f283d0db8cf78e53ed8995d3534f847e616d2c0005fd8da37ac790",
+      "eval/engine_capacity.py": "1940da1c3a435d81c7b7a1a689e966c23b92e4f94af115b45813dd30e2c04eec",
+      "eval/evidence_contracts.py": "03969fdf01e78135c66e698d3f523e5312ccca3737dd3036b37a2c6676ba4ea2",
+      "eval/external.py": "98500a97c18152b1b86a270062033c48176224d7468ac0f703ddc7de862a30e2",
+      "eval/external_checkpoints.py": "484e298039bfa04eef86bd7145428c312aaeaf059f5bdf8da7ae29d1150008d7",
+      "eval/extractor_quality.py": "50820fe7f821d111e17e4e77a3d1159e7d6979d110b052c4f254a5b309c2652a",
+      "eval/fts_insert_scaling.py": "6088997e0f85d430fafb74509e24a960fbd59c06c8b2839285942b97d2116724",
+      "eval/graph_every_bench.py": "79da573c5edf315f71bfab412d3ea283b8da45d1fdabc78ddd19302ead09e4f0",
+      "eval/graph_traversal.py": "b094f75c3a1d75ba3cf19e372187d692d3c595a1d9bde19bbe95ae0c79a5175f",
+      "eval/grounded.py": "053d5193b716a2c3e507fcd44057d392de910a4442b46bd7cc1f30ac0ba68541",
+      "eval/handoff_quality.py": "7daf635510764e236f48ca7e2537a85d8ebc1ad995513144329c1f0236405937",
+      "eval/harness.py": "8c96c26a121dfc2d9ea051a05861af8951c93a732dba9cb13de0de178414b016",
+      "eval/hosted_evidence.py": "7946cd8c1e3aa291268271b2aa11210d5f09c9b05ba635aa0b64bef07bdcee45",
+      "eval/hosted_ledger.py": "a53036d12ff671371c148910a816fb20c7e7f3346250a303722352f47b06c476",
+      "eval/hosted_luna.py": "4dbf02a65eec38bcde92d82952a0b372abbac1f68378d11a04528f4a31a835dc",
+      "eval/local_benchmark_queue.py": "43fa67b4d653e770822da816511e8e62b3714e60d2edd49ea2a4c5c3d8d20851",
+      "eval/local_capacity_campaign.py": "ab4935263f9d24c4e38bd4f16164b4c4c07eff91c695809b6fc75299d4f03d62",
+      "eval/longmemeval_v2.py": "defb4d47f453aa4615a8f101b82df3fadf64f0f9eae0ce1021d86d3750dad437",
+      "eval/longmemeval_v2_evidence.py": "8486bd4dcfdd8b1f7a14c32fe4f427c980ccdcc3aa2eb018d7dfc40305412eff",
+      "eval/longmemeval_v2_matrix.py": "ca085cd59481813cce5dbdfbc94f40f67173ac3a1bc3dce6f6d3e09eb7b08153",
+      "eval/metrics.py": "16857e2cf6ed339cb57a26c9bfa1879444b4d279bd972e5a9fa644ed1308afe0",
+      "eval/native_coverage_scaling.py": "0d318c116241050fc0c7bdbbb5646ca67944d7c304ccd9a462834e0553ffa90a",
+      "eval/performance.py": "dccc55c26dc396f9fee98defd152900cf8aabeb5d6198bc711e0eb8f472ecc57",
+      "eval/performance_engine.py": "3d37cf0a5989c8fa6e8b6ab7ae0b2e0d5410a8b922d2f3130c1a7794d93dcbb1",
+      "eval/planned_recall.py": "f9a87291ecb181045b98ca65fe55db820bf7cee4ae4f4d087ca3458afdd7837e",
+      "eval/proactive_ranking.py": "8610541f1d547f9c0eb46d078dbcaa670c0a97157acc37f96ec08b482cb7a6ab",
+      "eval/productivity.py": "6d4644ebdc44472aeb3879963774fab276bfa269b781139c46ded48774a22717",
+      "eval/public_readiness.py": "5ce8a18d0bfe09e75e88548a589b8fc6d2cbf04c0f8cd1ce51cd9519136a2751",
+      "eval/redteam_poisoning.py": "fce120cc3adf2ee966b59cd3ea7f20d242a0af49b52492143543130fe14c0cc8",
+      "eval/reinforcement.py": "72ed766775a2658eaa728afec51c0ac22d97a90e813111954df66a6ec50f2bef",
+      "eval/repair_discovery.py": "db05496fbbcb0df86c5cdc2f0c85fb6b6605b0cace6cb44ae2add10b72784b5f",
+      "eval/resolver_reworded_corrections.py": "a9054778a37b2175b46f04b674b4779e358931eee5d2ae52bbc5f953d234fb9e",
+      "eval/resource_hierarchy.py": "5ab6c989bb143c4386749c45a33c190447e829c1b5657e8c0aca30f34bd69461",
+      "eval/rework_statistics.py": "e12c14288797c5cf2dd93d51f606244287bc2f4ff8bd401f1d1b072efd1f9529",
+      "eval/run_longmemeval_v2.py": "866863d9f8f7ce8f7c3c36741ab324faa5fae417827f907c655eace38de0f5ac",
+      "eval/task_pairs.py": "fddc54804e8837ec0731813297fb55825458317f898e29176e16f3f5a2f527fd",
+      "eval/user_journeys.py": "a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049",
+      "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d",
+      "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc",
+      "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848",
+      "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba"
+    }
+  }
+}
diff --git a/docs/benchmark-evidence/offline-fixtures-v115.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v115.json.sha256
new file mode 100644
index 00000000..b9a5e953
--- /dev/null
+++ b/docs/benchmark-evidence/offline-fixtures-v115.json.sha256
@@ -0,0 +1 @@
+4d2cd6be29324597f0b201f8c0bd753173be69d24a274dff570c95c0db6ae629  offline-fixtures-v115.json
diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg
index 1d289467..dfd00d37 100644
--- a/docs/images/context-efficiency.svg
+++ b/docs/images/context-efficiency.svg
@@ -1,6 +1,6 @@
 <svg xmlns="http://www.w3.org/2000/svg" width="1103" height="956" viewBox="0 0 1103 956" role="img" aria-labelledby="title desc">
 <title id="title">Measured context and retrieval boundaries</title>
-<desc id="desc">Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 40188db31e07680e1c886ecec8ed523c6237858f0d5c63ef3159251c63538970.</desc>
+<desc id="desc">Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 4d2cd6be29324597f0b201f8c0bd753173be69d24a274dff570c95c0db6ae629.</desc>
 <style>text{font-family:Consolas,monospace;fill:#b9c8dc} .heading{font-family:Segoe UI,sans-serif;font-weight:700;fill:#f2f5f9} .green{fill:#00c896}.muted{fill:#7589a7}</style>
 <rect x="3" y="2" width="1094" height="949" fill="#0e1114" stroke="#252c36"/>
 <rect x="23" y="27" width="176" height="20" fill="#1c222b" stroke="#303a47"/>
@@ -105,7 +105,7 @@
 <text x="562" y="935" font-size="12.5" class="muted" text-anchor="start">mcp transport not measured</text>
 <rect x="814" y="864" width="263" height="82" fill="#0e1114" stroke="#252c36"/>
 <text x="826" y="885" font-size="12.5" class="muted" text-anchor="start">SOURCE ARTIFACT</text>
-<text x="826" y="913" font-size="20" class="heading" text-anchor="start">40188db31e07</text>
+<text x="826" y="913" font-size="20" class="heading" text-anchor="start">4d2cd6be2932</text>
 <text x="826" y="935" font-size="12.5" class="muted" text-anchor="start">SHA-256 prefix</text>
 <text x="1080" y="70" font-size="18.7" class="muted" text-anchor="end">Artifact-driven local measurements</text>
 </svg>
diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg
index 9b8ef3dd..911141a7 100644
--- a/docs/images/evidence-backed-agent-examples.svg
+++ b/docs/images/evidence-backed-agent-examples.svg
@@ -1,6 +1,6 @@
 <svg xmlns="http://www.w3.org/2000/svg" width="1693" height="929" viewBox="0 0 1693 929" role="img" aria-labelledby="title desc">
   <title id="title">Three evidence-backed Engraphis agent behaviors</title>
-  <desc id="desc">A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 40188db31e07680e1c886ecec8ed523c6237858f0d5c63ef3159251c63538970.</desc>
+  <desc id="desc">A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 4d2cd6be29324597f0b201f8c0bd753173be69d24a274dff570c95c0db6ae629.</desc>
   <defs>
     <linearGradient id="page" x1="0" y1="0" x2="1" y2="1"><stop offset="0" stop-color="#f8fbff"/><stop offset="1" stop-color="#eef4fb"/></linearGradient>
     <filter id="shadow" x="-10%" y="-10%" width="120%" height="130%"><feDropShadow dx="0" dy="5" stdDeviation="8" flood-opacity=".12"/></filter>
@@ -47,5 +47,5 @@
   </g>
   <line x1="70" y1="832" x2="1623" y2="832" stroke="#ced8e7" stroke-width="2"/>
   <text x="846" y="875" text-anchor="middle" font-family="Inter, Arial, sans-serif" font-size="24" font-weight="600" fill="#53627b">Reproduce: eval.chunking_eval + eval.grounded</text>
-  <text x="846" y="910" text-anchor="middle" font-family="ui-monospace, monospace" font-size="15" font-weight="600" fill="#53627b">SHA256 40188db31e07680e1c886ecec8ed523c6237858f0d5c63ef3159251c63538970</text>
+  <text x="846" y="910" text-anchor="middle" font-family="ui-monospace, monospace" font-size="15" font-weight="600" fill="#53627b">SHA256 4d2cd6be29324597f0b201f8c0bd753173be69d24a274dff570c95c0db6ae629</text>
 </svg>
diff --git a/engraphis/core/graph_scene.py b/engraphis/core/graph_scene.py
index c9f90afd..3b8b6348 100644
--- a/engraphis/core/graph_scene.py
+++ b/engraphis/core/graph_scene.py
@@ -13,7 +13,8 @@
 import re
 from bisect import bisect_right
 from collections import Counter, defaultdict, deque
-from typing import Any, Iterable, Mapping, Optional, Sequence
+from collections.abc import Iterable, Mapping, Sequence
+from typing import Any, Optional
 
 
 ALGORITHM_VERSION = "galaxy-v13-responsive-compact-orbits"
@@ -106,7 +107,7 @@ def _hash_record(
     the public scene identity, including optional repository and temporal metadata.
     """
     def normalize(value: Any) -> Any:
-        if isinstance(value, Mapping):
+        if isinstance(value, (dict, Mapping)):
             return {
                 str(key): normalize(item)
                 for key, item in sorted(value.items(), key=lambda pair: str(pair[0]))
diff --git a/engraphis/core/store.py b/engraphis/core/store.py
index 50c15782..054e8f22 100644
--- a/engraphis/core/store.py
+++ b/engraphis/core/store.py
@@ -6157,8 +6157,17 @@ def _erase_memory_rows(cls, conn, memory_id: str, *, actor: str = "user") -> dic
                 clauses.append("NOT EXISTS (SELECT 1 FROM memory_entities me "
                                "WHERE me.entity_id=entities.id)")
             if "edges" in tables:
-                clauses.append("NOT EXISTS (SELECT 1 FROM edges e "
-                               "WHERE e.src=entities.id OR e.dst=entities.id)")
+                # Global entities can be referenced by any workspace. Keep their
+                # lookup separate so owned entities retain indexed, exact-scope
+                # endpoint probes and foreign edges cannot prevent their erasure.
+                clauses.append(
+                    "CASE WHEN entities.workspace_id IS NULL THEN "
+                    "NOT EXISTS (SELECT 1 FROM edges e "
+                    "WHERE e.src=entities.id OR e.dst=entities.id) ELSE "
+                    "NOT EXISTS (SELECT 1 FROM edges e "
+                    "WHERE ((e.workspace_id IS entities.workspace_id AND e.src=entities.id) "
+                    "OR (e.workspace_id IS entities.workspace_id AND e.dst=entities.id))) END"
+                )
             if clauses:
                 conn.execute(
                     f"DELETE FROM entities WHERE id IN ({marks}) AND " + " AND ".join(clauses),
@@ -8031,19 +8040,36 @@ def neighbors(self, node_ids: list[str], *, at: Optional[float] = None,
             return []
         valid_at, known_at = _temporal_anchors(flt, valid_at=at)
         marks = ",".join("?" for _ in node_ids)
-        sql = (
-            f"SELECT * FROM edges WHERE (src IN ({marks}) OR dst IN ({marks})) "
-            f"AND (valid_from IS NULL OR valid_from<=?) "
-            f"AND (valid_to IS NULL OR ?<valid_to "
-            f"OR (valid_to_recorded_at IS NOT NULL "
-            f"AND ?<valid_to_recorded_at)) "
-            f"AND (ingested_at IS NULL OR ingested_at<=?) "
-            f"AND (expired_at IS NULL OR ?<expired_at)"
-        )
-        params: list[Any] = [
-            *node_ids, *node_ids,
-            valid_at, valid_at, known_at, known_at, known_at,
-        ]
+        if flt and flt.workspace_id:
+            sql = (
+                f"SELECT * FROM edges WHERE ((workspace_id=? AND src IN ({marks})) "
+                f"OR (workspace_id=? AND dst IN ({marks}))) "
+                f"AND (valid_from IS NULL OR valid_from<=?) "
+                f"AND (valid_to IS NULL OR ?<valid_to "
+                f"OR (valid_to_recorded_at IS NOT NULL "
+                f"AND ?<valid_to_recorded_at)) "
+                f"AND (ingested_at IS NULL OR ingested_at<=?) "
+                f"AND (expired_at IS NULL OR ?<expired_at)"
+            )
+            params: list[Any] = [
+                flt.workspace_id, *node_ids,
+                flt.workspace_id, *node_ids,
+                valid_at, valid_at, known_at, known_at, known_at,
+            ]
+        else:
+            sql = (
+                f"SELECT * FROM edges WHERE (src IN ({marks}) OR dst IN ({marks})) "
+                f"AND (valid_from IS NULL OR valid_from<=?) "
+                f"AND (valid_to IS NULL OR ?<valid_to "
+                f"OR (valid_to_recorded_at IS NOT NULL "
+                f"AND ?<valid_to_recorded_at)) "
+                f"AND (ingested_at IS NULL OR ingested_at<=?) "
+                f"AND (expired_at IS NULL OR ?<expired_at)"
+            )
+            params = [
+                *node_ids, *node_ids,
+                valid_at, valid_at, known_at, known_at, known_at,
+            ]
         support_visibility, support_params = _temporal_visibility_sql(
             "s", flt, valid_at=valid_at
         )
@@ -8061,8 +8087,9 @@ def neighbors(self, node_ids: list[str], *, at: Optional[float] = None,
             sql += f" AND layer IN ({layer_marks})"
             params.extend(_enum(layer) for layer in layers)
         if flt and flt.workspace_id:
-            sql += " AND workspace_id=?"
-            params.append(flt.workspace_id)
+            # Workspace filter is distributed directly into the index-accelerated
+            # src/dst branches above so SQLite can use MULTI-INDEX OR.
+            pass
         if flt and flt.repo_id:
             if flt.include_ancestors:
                 sql += " AND (repo_id=? OR repo_id IS NULL)"
diff --git a/engraphis/dashboard_assets/engraphis-graph-every.js b/engraphis/dashboard_assets/engraphis-graph-every.js
index d5680c07..86ca4783 100644
--- a/engraphis/dashboard_assets/engraphis-graph-every.js
+++ b/engraphis/dashboard_assets/engraphis-graph-every.js
@@ -161,7 +161,7 @@
       neighbors: null, incidentEdges: null, connectionHighlights: null, ready: false, visibleCount: 0,
       frame: 0, labelFrame: 0, flowPaintAt: 0, overlayPaintAt: 0, layoutPending: false, lastLabelKey: '', labelLayout: [],
       underlayKey: '', drag: null, pickGrid: null, pickDirty: true,
-      destroyed: false, paused: false, unsupported: !gl, error: null,
+      destroyed: false, paused: false, contextLost: false, unsupported: !gl, error: null,
       labelMetrics: new Map(),
     };
 
@@ -324,7 +324,7 @@
     /* Hover dimming overlays the filter visibility: flag 1 stays bright (the hovered node
        plus its neighbours), flag 2 is a visible node pushed into the background. */
     function applyHoverToFlags() {
-      if (!state.ready || !gl || !nodeProgram) return;
+      if (!state.ready || state.contextLost || !gl || !nodeProgram) return;
       /* The hovered node AND the last highlighted node anchor the lit neighbourhood, so a
          clicked selection keeps its paths visible after the pointer moves on. */
       const anchors = [];
@@ -350,12 +350,12 @@
       gl.bufferData(gl.ARRAY_BUFFER, state.nodeFlags, gl.DYNAMIC_DRAW);
     }
     function uploadNodePositions() {
-      if (!gl || !nodeProgram) return;
+      if (state.contextLost || !gl || !nodeProgram) return;
       gl.bindBuffer(gl.ARRAY_BUFFER, nodeBuffers.position);
       gl.bufferData(gl.ARRAY_BUFFER, state.positions, gl.DYNAMIC_DRAW);
     }
     function uploadNodeMeta() {
-      if (!gl || !nodeProgram) return;
+      if (state.contextLost || !gl || !nodeProgram) return;
       const count = state.ids.length;
       if (state.nodeColors.length !== count * 3) state.nodeColors = new Float32Array(count * 3);
       if (state.nodeSizes.length !== count) state.nodeSizes = new Float32Array(count);
@@ -377,7 +377,7 @@
       applyHoverToFlags();
     }
     function uploadEdges() {
-      if (!gl || !edgeProgram) return;
+      if (state.contextLost || !gl || !edgeProgram) return;
       const links = state.totalLinks;
       const positions = new Float32Array(links * 4);
       const factors = new Float32Array(links * 2);
@@ -424,7 +424,7 @@
       state.edgeVertexCount = links * 2;
     }
     function uploadEdgePositions() {
-      if (!gl || !edgeProgram || !state.totalLinks || !state.edgeSources) return;
+      if (state.contextLost || !gl || !edgeProgram || !state.totalLinks || !state.edgeSources) return;
       const links = state.totalLinks;
       if (!state.edgePositions || state.edgePositions.length !== links * 4) {
         state.edgePositions = new Float32Array(links * 4);
@@ -592,7 +592,7 @@
     function labelText(index) { return state.labels[index] || state.ids[index]; }
     function drawOverlay(now, force = false) {
       state.labelFrame = 0;
-      if (!labelContext || state.destroyed || state.paused) return;
+      if (!labelContext || state.destroyed || state.paused || state.contextLost) return;
       const stamp = typeof now === 'number' && now > 0
         ? now
         : (typeof performance !== 'undefined' && performance.now ? performance.now() : Date.now());
@@ -619,7 +619,7 @@
     }
     function runOverlayFrame(now) { drawOverlay(now); }
     function scheduleLabels(immediate = false) {
-      if (state.destroyed || state.paused || !labelContext) return;
+      if (state.destroyed || state.paused || state.contextLost || !labelContext) return;
       if (state.labelFrame) {
         if (!immediate) return;
         caf(state.labelFrame);
@@ -876,7 +876,7 @@
     }
     function draw(now = 0) {
       state.frame = 0;
-      if (state.destroyed || state.paused || !state.ready || !nodeProgram) return;
+      if (state.destroyed || state.paused || state.contextLost || !state.ready || !nodeProgram) return;
       if (flowAnimating() && state.flowPaintAt && now - state.flowPaintAt < FLOW_FRAME_MS) {
         schedule();
         return;
@@ -962,7 +962,7 @@
       gl.vertexAttribPointer(edgeBuffers.attrs.visible, 1, gl.FLOAT, false, 0, 0);
     }
     function schedule() {
-      if (!state.destroyed && !state.paused && !state.frame) state.frame = raf(draw);
+      if (!state.destroyed && !state.paused && !state.contextLost && !state.frame) state.frame = raf(draw);
     }
 
     /* ── Camera & sizing ────────────────────────────────────────────────────────── */
@@ -1309,6 +1309,30 @@
     if (observer) observer.observe(element);
     window.addEventListener('resize', resize);
 
+    const handleContextLost = event => {
+      event.preventDefault();
+      // Context recovery must not replace the caller's lifecycle pause/resume intent.
+      state.contextLost = true;
+      if (state.frame) { caf(state.frame); state.frame = 0; }
+      if (state.labelFrame) { caf(state.labelFrame); state.labelFrame = 0; }
+    };
+    const handleContextRestored = () => {
+      if (state.destroyed) return;
+      initWebgl();
+      if (!nodeProgram || !edgeProgram) return;
+      state.contextLost = false;
+      if (state.ready) {
+        uploadNodePositions();
+        uploadNodeMeta();
+        uploadEdges();
+        uploadEdgePositions();
+        schedule();
+        scheduleLabels(true);
+      }
+    };
+    canvas.addEventListener('webglcontextlost', handleContextLost);
+    canvas.addEventListener('webglcontextrestored', handleContextRestored);
+
     initWebgl();
     if (gl && nodeProgram) {
       worker = new Worker(WORKER_URL);
@@ -1324,7 +1348,7 @@
     resize();
 
     function exportImageCanvas() {
-      if (state.destroyed || !state.ready || !nodeProgram) return null;
+      if (state.destroyed || state.contextLost || !state.ready || !nodeProgram) return null;
       if (state.frame) { caf(state.frame); state.frame = 0; }
       if (state.labelFrame) { caf(state.labelFrame); state.labelFrame = 0; }
       /* Paint both layers synchronously: draw() alone would leave the overlay on a rAF
@@ -1361,6 +1385,8 @@
         worker = null;
       }
       if (observer) observer.disconnect();
+      canvas.removeEventListener('webglcontextlost', handleContextLost);
+      canvas.removeEventListener('webglcontextrestored', handleContextRestored);
       window.removeEventListener('resize', resize);
       element.removeEventListener('keydown', handleKeydown);
       if (gl) {
diff --git a/engraphis/dashboard_assets/engraphis-graph.js b/engraphis/dashboard_assets/engraphis-graph.js
index 6bed8220..d1e198b0 100644
--- a/engraphis/dashboard_assets/engraphis-graph.js
+++ b/engraphis/dashboard_assets/engraphis-graph.js
@@ -33,6 +33,151 @@
      writing them onto the element, so dashboard.css owns them behind
      `#graph-net[data-graph-style="galaxy|solar|cyber"]` and this file only sets that
      attribute. Keeping a second copy of the gradients in JS would be dead drift. */
+  function splitBackgroundLayers(value) {
+    const parts = [];
+    let start = 0, depth = 0;
+    for (let i = 0; i < value.length; i++) {
+      if (value[i] === '(') depth++;
+      else if (value[i] === ')') depth--;
+      else if (value[i] === ',' && depth === 0) {
+        parts.push(value.slice(start, i).trim());
+        start = i + 1;
+      }
+    }
+    parts.push(value.slice(start).trim());
+    return parts;
+  }
+
+  function backgroundLength(value, extent) {
+    return parseFloat(value) * (value.endsWith('%') ? extent / 100 : 1);
+  }
+
+  /* Export stays synchronous. Paint the linear and explicitly sized elliptical gradients
+     authored in the graph CSS, using computed colors, geometry and per-layer tile sizes.
+     No second theme palette or network/image decoding is needed for these backgrounds. */
+  function paintBackgroundGradient(ctx, image, width, height) {
+    const match = /^(linear|radial)-gradient\((.*)\)$/.exec(image);
+    if (!match) return false;
+    const stops = splitBackgroundLayers(match[2]);
+    let gradient, stopLength, bounds = [0, 0, width, height];
+    ctx.save();
+    if (match[1] === 'radial') {
+      const geometry = /^(?:ellipse\s+)?([\d.]+(?:px|%))\s+([\d.]+(?:px|%))(?:\s+at\s+([-\d.]+(?:px|%))\s+([-\d.]+(?:px|%)))?$/.exec(stops.shift());
+      if (!geometry) { ctx.restore(); return false; }
+      const rx = backgroundLength(geometry[1], width);
+      const ry = backgroundLength(geometry[2], height);
+      if (!(rx > 0 && ry > 0)) { ctx.restore(); return false; }
+      const x = backgroundLength(geometry[3] || '50%', width);
+      const y = backgroundLength(geometry[4] || '50%', height);
+      ctx.translate(x, y);
+      ctx.scale(rx, ry);
+      gradient = ctx.createRadialGradient(0, 0, 0, 0, 0, 1);
+      stopLength = rx;
+      bounds = [-x / rx, -y / ry, width / rx, height / ry];
+    } else {
+      const angle = /^(-?[\d.]+)deg$/.exec(stops[0]);
+      if (angle) stops.shift();
+      const radians = (angle ? Number(angle[1]) : 180) * Math.PI / 180;
+      const dx = Math.sin(radians), dy = -Math.cos(radians);
+      stopLength = Math.abs(width * dx) + Math.abs(height * dy);
+      gradient = ctx.createLinearGradient(width / 2 - dx * stopLength / 2,
+        height / 2 - dy * stopLength / 2, width / 2 + dx * stopLength / 2,
+        height / 2 + dy * stopLength / 2);
+    }
+    const colors = stops.map(stop => {
+      const position = /\s+(-?[\d.]+)(%|px)$/.exec(stop);
+      return { color: position ? stop.slice(0, position.index) : stop,
+        offset: position ? Number(position[1]) / (position[2] === '%' ? 100 : stopLength) : null };
+    });
+    // CSS fades in premultiplied color, whereas CanvasGradient interpolates straight
+    // RGBA. Retain the source hue at the transparent end of our two-color fades.
+    if (colors.length === 2) {
+      const rgba = colors.map(stop => {
+        const color = /^rgba?\(([^)]+)\)$/.exec(stop.color);
+        return color ? color[1].split(',').map(Number) : null;
+      });
+      for (let i = 0; i < colors.length; i++) {
+        if (rgba[i] && rgba[i][3] === 0 && rgba[1 - i]) {
+          colors[i].color = `rgba(${rgba[1 - i].slice(0, 3).join(',')},0)`;
+        }
+      }
+    }
+    if (colors[0].offset === null) colors[0].offset = 0;
+    if (colors[colors.length - 1].offset === null) colors[colors.length - 1].offset = 1;
+    // CSS distributes omitted stops between their positioned neighbours.
+    for (let i = 0; i < colors.length; i++) {
+      if (colors[i].offset !== null) continue;
+      let end = i;
+      while (colors[end].offset === null) end++;
+      const start = colors[i - 1].offset;
+      for (let next = i; next < end; next++) {
+        colors[next].offset = start + (colors[end].offset - start) * (next - i + 1) / (end - i + 1);
+      }
+      i = end;
+    }
+    let previous = 0;
+    colors.forEach(stop => {
+      previous = Math.max(previous, Math.min(1, stop.offset));
+      gradient.addColorStop(previous, stop.color);
+    });
+    ctx.fillStyle = gradient;
+    ctx.fillRect(...bounds);
+    ctx.restore();
+    return true;
+  }
+
+  function paintPaneBackground(ctx, style, width, height) {
+    if (!style || !style.backgroundImage || style.backgroundImage === 'none') return;
+    const images = splitBackgroundLayers(style.backgroundImage);
+    const sizes = splitBackgroundLayers(style.backgroundSize);
+    const positions = splitBackgroundLayers(style.backgroundPosition);
+    const repeats = splitBackgroundLayers(style.backgroundRepeat);
+    // force-graph truncates fractional backing dimensions, not its drawing scale.
+    const scale = window.devicePixelRatio || 1;
+    ctx.save();
+    ctx.scale(scale, scale);
+    // CSS lists the top image first, while canvas paints from the bottom up.
+    for (let i = images.length - 1; i >= 0; i--) {
+      const size = sizes[i % sizes.length].split(/\s+/);
+      let tileWidth = size[0] === 'auto' ? width : backgroundLength(size[0], width);
+      let tileHeight = !size[1] || size[1] === 'auto' ? height : backgroundLength(size[1], height);
+      if (!(tileWidth > 0 && tileHeight > 0)) continue;
+      const position = positions[i % positions.length].split(/\s+/);
+      let x = backgroundLength(position[0], width - tileWidth);
+      let y = backgroundLength(position[1] || '50%', height - tileHeight);
+      const repeat = repeats[i % repeats.length].split(/\s+/);
+      let repeatX = repeat[0] === 'repeat' || repeat[0] === 'repeat-x';
+      let repeatY = (repeat[1] || repeat[0]) === 'repeat' || repeat[0] === 'repeat-y';
+      const linear = /^linear-gradient\((?:(-?[\d.]+)deg,)?/.exec(images[i]);
+      if (linear) {
+        const angle = Number(linear[1] || 180) % 180;
+        // Axis-aligned gradients are constant along the other axis. Painting one
+        // strip avoids artificial seams when fractional-DPR tiles meet there.
+        if (repeatX && angle === 0) { tileWidth = width; x = 0; repeatX = false; }
+        if (repeatY && Math.abs(angle) === 90) { tileHeight = height; y = 0; repeatY = false; }
+      }
+      const tile = document.createElement('canvas');
+      // Transparent padding lets interpolation cross a half-pixel tile boundary;
+      // drawImage otherwise clips away the leading pixel before blending it.
+      tile.width = Math.ceil(tileWidth * scale) + 2;
+      tile.height = Math.ceil(tileHeight * scale) + 2;
+      const layer = tile.getContext('2d');
+      if (!layer) continue;
+      layer.translate(1, 1);
+      layer.scale(scale, scale);
+      if (!paintBackgroundGradient(layer, images[i], tileWidth, tileHeight)) continue;
+      if (repeatX) { x = ((x % tileWidth) + tileWidth) % tileWidth; if (x > 0) x -= tileWidth; }
+      if (repeatY) { y = ((y % tileHeight) + tileHeight) % tileHeight; if (y > 0) y -= tileHeight; }
+      for (let top = y; top < height; top += repeatY ? tileHeight : height + tileHeight) {
+        for (let left = x; left < width; left += repeatX ? tileWidth : width + tileWidth) {
+          // Preserve the raster's pixel scale while placing tiles at CSS intervals.
+          // Stretching 38 backing pixels into 37.5 at DPR 1.25 blurs the 1 px grid.
+          ctx.drawImage(tile, left - 1 / scale, top - 1 / scale, tile.width / scale, tile.height / scale);
+        }
+      }
+    }
+    ctx.restore();
+  }
   const PALETTES = {
     theme: null,
     aurora: { person_or_concept: '#8b7cf6', mention: '#2dd4bf', hashtag: '#fbbf24', email: '#60a5fa', organization: '#f472b6', location: '#a3e635' },
@@ -11401,6 +11546,36 @@
         })),
       };
     };
+    api.exportImageCanvas = () => {
+      if (destroyed) return null;
+      const graphCanvas = el.querySelector('.force-graph-container canvas') || el.querySelector('canvas');
+      if (!graphCanvas) return null;
+      const spacetimeCanvas = el.querySelector('.graph-spacetime-overlay');
+      const output = document.createElement('canvas');
+      output.width = graphCanvas.width;
+      output.height = graphCanvas.height;
+      const ctx = output.getContext('2d');
+      if (!ctx) return null;
+      const paneStyle = typeof window.getComputedStyle === 'function'
+        ? window.getComputedStyle(el) : null;
+      ctx.fillStyle = paneStyle && paneStyle.backgroundColor
+        || state.themeColors.canvas || '#0e1014';
+      ctx.fillRect(0, 0, output.width, output.height);
+      paintPaneBackground(ctx, paneStyle, el.clientWidth || output.width, el.clientHeight || output.height);
+      if (spacetimeCanvas && spacetimeCanvas.width > 0 && spacetimeCanvas.height > 0) {
+        const overlayStyle = window.getComputedStyle(spacetimeCanvas);
+        if (overlayStyle.display !== 'none' && overlayStyle.visibility !== 'hidden') {
+          ctx.save();
+          ctx.globalAlpha = Number(overlayStyle.opacity);
+          ctx.globalCompositeOperation = overlayStyle.mixBlendMode === 'normal'
+            ? 'source-over' : overlayStyle.mixBlendMode;
+          ctx.drawImage(spacetimeCanvas, 0, 0, output.width, output.height);
+          ctx.restore();
+        }
+      }
+      ctx.drawImage(graphCanvas, 0, 0);
+      return output;
+    };
     api.fit = () => { if (!destroyed) fg.zoomToFit(reduced() ? 0 : 500, 40); };
     api.physicsDiagnostics = () => physicsDiagnostics();
     api.graphToScreen = (x, y) => {
diff --git a/engraphis/dashboard_assets/ledger.css b/engraphis/dashboard_assets/ledger.css
index 8b8dd318..287370da 100644
--- a/engraphis/dashboard_assets/ledger.css
+++ b/engraphis/dashboard_assets/ledger.css
@@ -404,7 +404,7 @@ body[data-theme="paper"] .theme-switcher select { color-scheme: light; }
   padding-top: 12px;
   border-top: 1px solid var(--c-line);
 }
-.metric { display: grid; gap: 2px; }
+.metric { display: grid; gap: 2px; min-width: 0; overflow-wrap: break-word; }
 .metric strong { font: 400 23px/1.2 var(--serif); font-variant-numeric: tabular-nums; }
 .metric span { color: var(--c-dim); font-size: 11px; }
 .content-section { min-width: 0; }
@@ -1247,8 +1247,8 @@ body[data-theme="paper"] .graph-header {
   .workspace-switcher { grid-column: 2; grid-row: 1; }
   .dashboard-switcher { grid-column: 1 / -1; grid-row: 2; }
   .theme-switcher { grid-column: 1 / -1; grid-row: 3; }
-  .primary-nav { grid-column: 1 / -1; grid-row: 4; display: grid; grid-template-columns: repeat(5, minmax(0, 1fr)); }
-  .manage-nav { grid-column: 1 / -1; grid-row: 5; padding-top: 0; border-top: 0; }
+  .primary-nav { grid-column: 1 / -1; grid-row: 4; display: grid; grid-template-columns: repeat(4, minmax(0, 1fr)); }
+  .manage-nav { grid-column: 1 / -1; grid-row: 5; display: grid; grid-template-columns: repeat(3, minmax(0, 1fr)); padding-top: 0; border-top: 0; }
   .primary-nav .nav-item, .manage-nav .nav-item { padding: 7px 4px; text-align: center; }
   .primary-nav .nav-item small, .manage-nav .nav-item small { display: none; }
   .sidebar-promo { grid-column: 1 / -1; grid-row: 6; }
diff --git a/engraphis/dashboard_assets/ledger.js b/engraphis/dashboard_assets/ledger.js
index 2175839a..eba14ea9 100644
--- a/engraphis/dashboard_assets/ledger.js
+++ b/engraphis/dashboard_assets/ledger.js
@@ -5853,6 +5853,7 @@
     exportGraphJson();
   });
   byId('graph-connections-close').addEventListener('click', closeGraphConnections);
+  byId('graph-connections-dialog').addEventListener('close', cancelGraphConnectionMemoryLoad);
   byId('graph-connections-focus').addEventListener('click', () => {
     const id = state.graphConnectionsFocusId;
     if (!id) return;
diff --git a/engraphis/graphdata.py b/engraphis/graphdata.py
index 986eba46..bfab7d1c 100644
--- a/engraphis/graphdata.py
+++ b/engraphis/graphdata.py
@@ -63,19 +63,21 @@ def build_graph_payload(workspace: str, entity_rows: Sequence[Mapping[str, Any]]
         src, dst, rel = e["src"], e["dst"], e["relation"]
         if not src or not dst:
             continue
-        layer = e.get("layer") if hasattr(e, "get") else None
+        e_get = getattr(e, "get", None)
+        layer = e_get("layer") if e_get is not None else None
         layer = layer or "semantic"
         deg[src] = deg.get(src, 0) + 1
         deg[dst] = deg.get(dst, 0) + 1
         layers[layer] = layers.get(layer, 0) + 1
-        reason = e.get("reason") if hasattr(e, "get") else None
+        reason = e_get("reason") if e_get is not None else None
         item = {"from": src, "to": dst, "label": rel or "", "layer": layer}
         if reason:
             item["reason"] = reason
-        for key in ("id", "valid_from", "valid_to"):
-            value = e.get(key) if hasattr(e, "get") else None
-            if value not in (None, ""):
-                item[key] = value
+        if e_get is not None:
+            for key in ("id", "valid_from", "valid_to"):
+                value = e_get(key)
+                if value not in (None, ""):
+                    item[key] = value
         edges.append(item)
 
     # every node referenced by an edge must exist so the network renders cleanly, even
diff --git a/engraphis/service.py b/engraphis/service.py
index 03b40236..f5bd8059 100644
--- a/engraphis/service.py
+++ b/engraphis/service.py
@@ -388,8 +388,8 @@ def _graph_entity_visibility_sql(entity_alias: str, *, at: Optional[float] = Non
     """
     del at
     touching = (
-        f"visibility_edge.workspace_id={entity_alias}.workspace_id AND "
-        f"(visibility_edge.src={entity_alias}.id OR visibility_edge.dst={entity_alias}.id)"
+        f"((visibility_edge.workspace_id={entity_alias}.workspace_id AND visibility_edge.src={entity_alias}.id) OR "
+        f"(visibility_edge.workspace_id={entity_alias}.workspace_id AND visibility_edge.dst={entity_alias}.id))"
     )
     return (
         "(NOT EXISTS (SELECT 1 FROM edges visibility_edge WHERE " + touching + ") "
@@ -1284,6 +1284,7 @@ def __init__(self, engine: MemoryEngine, *,
         # bi-temporal validity boundary: time passing can change a current-time scene even
         # when no connection writes, so such an entry expires exactly at that boundary.
         self._graph_scene_cache: "OrderedDict[tuple, tuple[float, dict]]" = OrderedDict()
+        self._graph_scene_cache_lock = threading.Lock()
         self._graph_job_lock = threading.RLock()
         self._graph_job_threads: dict[str, threading.Thread] = {}
         self._obsidian_job_threads: dict[str, threading.Thread] = {}
@@ -9148,7 +9149,8 @@ def _run_graph_index_job(self, job_id: str) -> None:
                         (finished, error_code, wid, job_id, wid),
                     )
                 self.store.conn.commit()
-                self._graph_scene_cache.clear()
+                with self._graph_scene_cache_lock:
+                    self._graph_scene_cache.clear()
                 with self._graph_job_lock:
                     self._graph_job_threads.pop(job_id, None)
 
@@ -9429,18 +9431,30 @@ def temporal_ghost(row: Any) -> bool:
         # unrelated relation in the workspace.
         touching_entity_cap = all_mode_entity_cap or MAX_GRAPH_ANALYSIS_ENTITIES
         touching_sql = (
-            "SELECT selected_entity.id, COUNT(touching_edge.id) AS touching_count "
-            "FROM entities selected_entity "
-            "LEFT JOIN edges touching_edge "
-            "ON touching_edge.workspace_id=? "
-            "AND (touching_edge.src=selected_entity.id "
-            "OR touching_edge.dst=selected_entity.id) "
+            "WITH candidate_entities AS ("
+            "SELECT id FROM entities selected_entity "
+            "WHERE selected_entity.workspace_id=? "
+        )
+        touching_params: list[Any] = [wid]
+        if repo_id:
+            touching_sql += (
+                "AND (selected_entity.repo_id=? OR selected_entity.repo_id IS NULL) "
+            )
+            touching_params.append(repo_id)
+        touching_sql += (
+            "AND (selected_entity.created_at IS NULL OR selected_entity.created_at<=?) "
         )
+        touching_params.append(known_t)
+        if clean_entity_types:
+            clean_types = sorted(set(clean_entity_types))
+            marks = ",".join("?" for _ in clean_types)
+            touching_sql += f"AND selected_entity.etype IN ({marks}) "
+            touching_params.extend(clean_types)
         # A live scene must classify entities from the same world/system-time edge
         # population used by the later edge query. Keep the historical joins intact
         # for time-travel scenes so closed relations can still identify ghost endpoints.
         if not include_history:
-            touching_sql += (
+            touching_edge_time_sql = (
                 "AND (touching_edge.valid_from IS NULL "
                 "OR touching_edge.valid_from<=?) "
                 "AND (touching_edge.valid_to IS NULL "
@@ -9452,9 +9466,9 @@ def temporal_ghost(row: Any) -> bool:
                 "AND (touching_edge.expired_at IS NULL "
                 "OR ?<touching_edge.expired_at) "
             )
-            touching_params: list[Any] = [wid, t, t, t, known_t, known_t]
+            touching_edge_time_params: tuple[float, ...] = (t, t, t, known_t, known_t)
         else:
-            touching_sql += (
+            touching_edge_time_sql = (
                 "AND (touching_edge.valid_from IS NULL "
                 "OR touching_edge.valid_from<=?) "
                 "AND (touching_edge.ingested_at IS NULL "
@@ -9462,38 +9476,62 @@ def temporal_ghost(row: Any) -> bool:
                 "AND (touching_edge.expired_at IS NULL "
                 "OR ?<touching_edge.expired_at) "
             )
-            touching_params = [wid, t, known_t, known_t]
+            touching_edge_time_params = (t, known_t, known_t)
+        # Drive both indexed endpoint probes from the selected entities. A workspace-
+        # wide edge CTE would scan unrelated repositories before this scope is applied.
+        # CROSS JOIN preserves that loop order; the dst branch omits a self-loop's
+        # second incidence without deduplicating distinct relations or support rows.
+        touching_sql += "), candidate_edges AS ("
+        for endpoint in ("src", "dst"):
+            if endpoint == "dst":
+                touching_sql += "UNION ALL "
+            touching_sql += (
+                "SELECT selected_entity.id AS entity_id, touching_edge.id AS edge_id "
+                "FROM candidate_entities selected_entity CROSS JOIN edges touching_edge "
+                f"ON touching_edge.workspace_id=? AND touching_edge.{endpoint}=selected_entity.id "
+                + touching_edge_time_sql
+            )
+            touching_params.extend((wid, *touching_edge_time_params))
+            if endpoint == "dst":
+                touching_sql += "AND touching_edge.src!=touching_edge.dst "
         touching_sql += (
-            "LEFT JOIN edge_supports touching_support "
-            "ON touching_support.edge_id=touching_edge.id "
+            "), endpoint_supports AS ("
+            "SELECT ee.entity_id, ee.edge_id, s.memory_id "
+            "FROM candidate_edges ee "
+            "LEFT JOIN edge_supports s "
+            "ON s.edge_id=ee.edge_id "
         )
         if not include_history:
             touching_sql += (
-                "AND (touching_support.valid_from IS NULL "
-                "OR touching_support.valid_from<=?) "
-                "AND (touching_support.valid_to IS NULL "
-                "OR ?<touching_support.valid_to "
-                "OR (touching_support.valid_to_recorded_at IS NOT NULL "
-                "AND ?<touching_support.valid_to_recorded_at)) "
-                "AND (touching_support.ingested_at IS NULL "
-                "OR touching_support.ingested_at<=?) "
-                "AND (touching_support.expired_at IS NULL "
-                "OR ?<touching_support.expired_at) "
+                "AND (s.valid_from IS NULL "
+                "OR s.valid_from<=?) "
+                "AND (s.valid_to IS NULL "
+                "OR ?<s.valid_to "
+                "OR (s.valid_to_recorded_at IS NOT NULL "
+                "AND ?<s.valid_to_recorded_at)) "
+                "AND (s.ingested_at IS NULL "
+                "OR s.ingested_at<=?) "
+                "AND (s.expired_at IS NULL "
+                "OR ?<s.expired_at) "
             )
             touching_params.extend((t, t, t, known_t, known_t))
         else:
             touching_sql += (
-                "AND (touching_support.valid_from IS NULL "
-                "OR touching_support.valid_from<=?) "
-                "AND (touching_support.ingested_at IS NULL "
-                "OR touching_support.ingested_at<=?) "
-                "AND (touching_support.expired_at IS NULL "
-                "OR ?<touching_support.expired_at) "
+                "AND (s.valid_from IS NULL "
+                "OR s.valid_from<=?) "
+                "AND (s.ingested_at IS NULL "
+                "OR s.ingested_at<=?) "
+                "AND (s.expired_at IS NULL "
+                "OR ?<s.expired_at) "
             )
             touching_params.extend((t, known_t, known_t))
+        join_type = "LEFT JOIN" if include_history else "JOIN"
         touching_sql += (
+            f") SELECT selected_entity.id, COUNT(es.edge_id) AS touching_count "
+            f"FROM candidate_entities selected_entity "
+            f"{join_type} endpoint_supports es ON es.entity_id=selected_entity.id "
             "LEFT JOIN memories touching_memory "
-            "ON touching_memory.id=touching_support.memory_id "
+            "ON touching_memory.id=es.memory_id "
         )
         if not include_history:
             touching_sql += (
@@ -9521,32 +9559,15 @@ def temporal_ghost(row: Any) -> bool:
                 "OR ?<touching_memory.expired_at) "
             )
             touching_params.extend((wid, t, known_t, known_t))
-        touching_sql += "WHERE selected_entity.workspace_id=? "
-        touching_params.append(wid)
-        if repo_id:
-            touching_sql += (
-                "AND (selected_entity.repo_id=? OR selected_entity.repo_id IS NULL) "
-            )
-            touching_params.append(repo_id)
-        touching_sql += (
-            "AND (selected_entity.created_at IS NULL OR selected_entity.created_at<=?) "
-        )
-        touching_params.append(known_t)
-        if clean_entity_types:
-            clean_types = sorted(set(clean_entity_types))
-            if clean_types:
-                marks = ",".join("?" for _ in clean_types)
-                touching_sql += f"AND selected_entity.etype IN ({marks}) "
-                touching_params.extend(clean_types)
         # Private-only relation histories must not consume the public candidate cap.
-        # Keep the workspace-wide scan for history views so a shared entity touched by
-        # an unrelated session-private edge remains hidden and ghost endpoints survive.
+        # Keep workspace-wide privacy classification so a shared entity touched by an
+        # unrelated session-private edge remains hidden and ghost endpoints survive.
         touching_sql += "GROUP BY selected_entity.id HAVING "
         if include_history:
             touching_sql += (
-                "COUNT(touching_edge.id)=0 OR MAX(CASE "
+                "COUNT(es.edge_id)=0 OR MAX(CASE "
                 "WHEN NOT EXISTS (SELECT 1 FROM edge_supports touching_any_support "
-                "WHERE touching_any_support.edge_id=touching_edge.id) THEN 1 "
+                "WHERE touching_any_support.edge_id=es.edge_id) THEN 1 "
                 "WHEN touching_memory.id IS NOT NULL "
                 "AND touching_memory.workspace_id=? "
                 "AND COALESCE(touching_memory.scope, 'workspace')!='session' "
@@ -9554,10 +9575,10 @@ def temporal_ghost(row: Any) -> bool:
             )
         else:
             touching_sql += (
-                "COUNT(touching_edge.id)>0 AND MAX(CASE "
+                "COUNT(es.edge_id)>0 AND MAX(CASE "
                 "WHEN NOT EXISTS (SELECT 1 FROM edge_supports touching_any_support "
-                "WHERE touching_any_support.edge_id=touching_edge.id) THEN 1 "
-                "WHEN touching_support.edge_id IS NOT NULL "
+                "WHERE touching_any_support.edge_id=es.edge_id) THEN 1 "
+                "WHEN es.memory_id IS NOT NULL "
                 "AND touching_memory.id IS NOT NULL "
                 "AND touching_memory.workspace_id=? "
                 "AND COALESCE(touching_memory.scope, 'workspace')!='session' "
@@ -9637,16 +9658,16 @@ def temporal_ghost(row: Any) -> bool:
         # bounded candidate scan intentionally omits private rows from its result set.
         entity_sql += " AND (NOT EXISTS (SELECT 1 FROM edges hidden_edge "
         entity_sql += (
-            "WHERE hidden_edge.workspace_id=? "
-            "AND (hidden_edge.src=entity.id OR hidden_edge.dst=entity.id) "
+            "WHERE ((hidden_edge.workspace_id=? AND hidden_edge.src=entity.id) "
+            "OR (hidden_edge.workspace_id=? AND hidden_edge.dst=entity.id)) "
             "AND (hidden_edge.ingested_at IS NULL OR hidden_edge.ingested_at<=?)) "
             "OR EXISTS (SELECT 1 FROM edges public_edge "
         )
-        entity_params.extend((wid, known_t))
+        entity_params.extend((wid, wid, known_t))
         if not include_history:
             entity_sql += (
-                "WHERE public_edge.workspace_id=? "
-                "AND (public_edge.src=entity.id OR public_edge.dst=entity.id) "
+                "WHERE ((public_edge.workspace_id=? AND public_edge.src=entity.id) "
+                "OR (public_edge.workspace_id=? AND public_edge.dst=entity.id)) "
                 "AND (public_edge.valid_from IS NULL OR public_edge.valid_from<=?) "
                 "AND (public_edge.valid_to IS NULL OR ?<public_edge.valid_to "
                 "OR (public_edge.valid_to_recorded_at IS NOT NULL "
@@ -9682,14 +9703,14 @@ def temporal_ghost(row: Any) -> bool:
                 "AND COALESCE(public_memory.scope, 'workspace')!='session')))"
             )
             entity_params.extend((
-                wid, t, t, t, known_t, known_t,
+                wid, wid, t, t, t, known_t, known_t,
                 t, t, t, known_t, known_t,
                 wid, t, t, t, known_t, known_t,
             ))
         else:
             entity_sql += (
-                "WHERE public_edge.workspace_id=? "
-                "AND (public_edge.src=entity.id OR public_edge.dst=entity.id) "
+                "WHERE ((public_edge.workspace_id=? AND public_edge.src=entity.id) "
+                "OR (public_edge.workspace_id=? AND public_edge.dst=entity.id)) "
                 "AND (public_edge.valid_from IS NULL OR public_edge.valid_from<=?) "
                 "AND (public_edge.ingested_at IS NULL OR public_edge.ingested_at<=?) "
                 "AND (public_edge.expired_at IS NULL OR ?<public_edge.expired_at) "
@@ -9714,7 +9735,7 @@ def temporal_ghost(row: Any) -> bool:
                 "OR ?<public_memory.expired_at) "
                 "AND COALESCE(public_memory.scope, 'workspace')!='session')))"
             )
-            entity_params.extend((wid, t, known_t, known_t, t, known_t, known_t,
+            entity_params.extend((wid, wid, t, known_t, known_t, t, known_t, known_t,
                                   wid, t, known_t, known_t))
         entity_sql += ")"
         # Page until the cap is reached after session-scope pruning so private
@@ -10724,7 +10745,8 @@ def bounded_int(value: Any, field: str, minimum: int, maximum: int) -> int:
         cache_key = (
             revision, clean_workspace, clean_level, clean_center_id or "",
             clean_system_id or "", tuple(clean_seeds), clean_repo or "",
-            tuple(clean_layers or ()), tuple(clean_relations), tuple(clean_entity_types),
+            None if clean_layers is None else tuple(clean_layers),
+            tuple(clean_relations), tuple(clean_entity_types),
             tuple(clean_memory_types), clean_as_of, clean_valid_at, clean_known_at,
             clean_time_from, clean_time_to,
             clean_depth, clean_min_support,
@@ -10734,7 +10756,6 @@ def bounded_int(value: Any, field: str, minimum: int, maximum: int) -> int:
             clean_presentation,
             GRAPH_SCENE_ALGORITHM_VERSION,
         )
-        cached = self._graph_scene_cache.get(cache_key)
         # Cache hit only when both temporal axes are anchored (making the scene
         # a fixed historical query) or before the computed expiry deadline.
         # When known_at floats (defaults to system time), ghost state evolves as
@@ -10742,8 +10763,12 @@ def bounded_int(value: Any, field: str, minimum: int, maximum: int) -> int:
         both_anchored = (
             clean_valid_at is not None and clean_known_at is not None
         )
-        if cached is not None and (
-                both_anchored or time.time() < cached[0]):
+        with self._graph_scene_cache_lock:
+            cached = self._graph_scene_cache.get(cache_key)
+            if cached is not None and not (both_anchored or time.time() < cached[0]):
+                self._graph_scene_cache.pop(cache_key, None)
+                cached = None
+        if cached is not None:
             if clean_presentation == "all":
                 cached_scene = cached[1]
                 scene = dict(cached_scene)
@@ -10754,9 +10779,12 @@ def bounded_int(value: Any, field: str, minimum: int, maximum: int) -> int:
             scene["meta"]["query_ms"] = round(
                 (time.perf_counter() - started) * 1000.0, 3
             )
+            # Copy outside the metadata lock; a worker may invalidate this entry in
+            # the meantime. Promote only the same surviving entry, never reinsert it.
+            with self._graph_scene_cache_lock:
+                if self._graph_scene_cache.get(cache_key) is cached:
+                    self._graph_scene_cache.move_to_end(cache_key)
             return scene
-        if cached is not None:
-            del self._graph_scene_cache[cache_key]
         present = time.time()
         query_at = clean_valid_at if clean_valid_at is not None else present
         query_known_at = clean_known_at if clean_known_at is not None else present
@@ -10877,20 +10905,21 @@ def bounded_int(value: Any, field: str, minimum: int, maximum: int) -> int:
                 system_time_floating=clean_known_at is None,
             )
         )
-        # One complete scene can be many megabytes.  Keep at most one in the shared
-        # LRU while retaining the normal 16-entry budget for compact analytical views.
-        if clean_level == "complete":
-            for key in [key for key in self._graph_scene_cache if key[2] == "complete"]:
-                self._graph_scene_cache.pop(key, None)
         cached_scene = scene if clean_presentation == "all" else copy.deepcopy(scene)
         response_scene = scene
         if clean_presentation == "all":
             response_scene = dict(scene)
             response_scene["meta"] = dict(scene["meta"])
-        self._graph_scene_cache[cache_key] = (valid_until, cached_scene)
-        self._graph_scene_cache.move_to_end(cache_key)
-        while len(self._graph_scene_cache) > 16:
-            self._graph_scene_cache.popitem(last=False)
+        # Publish and enforce both budgets atomically after the expensive copy. One
+        # complete scene can be many megabytes; compact views share a 16-entry LRU.
+        with self._graph_scene_cache_lock:
+            if clean_level == "complete":
+                for key in [key for key in self._graph_scene_cache if key[2] == "complete"]:
+                    self._graph_scene_cache.pop(key, None)
+            self._graph_scene_cache[cache_key] = (valid_until, cached_scene)
+            self._graph_scene_cache.move_to_end(cache_key)
+            while len(self._graph_scene_cache) > 16:
+                self._graph_scene_cache.popitem(last=False)
         return response_scene
 
     def graph_suggest(self, query: str, *, workspace: str, limit: int = 8,
diff --git a/tests/e2e/graph-lifecycle.spec.js b/tests/e2e/graph-lifecycle.spec.js
index d753b772..64166a2d 100644
--- a/tests/e2e/graph-lifecycle.spec.js
+++ b/tests/e2e/graph-lifecycle.spec.js
@@ -280,3 +280,190 @@ test('a graph requested before leaving Explore commits paused until the view ret
   expect(session.graphRequests).toHaveLength(1);
   expect(session.errors).toEqual([]);
 });
+
+for (const pauseTiming of ['before-loss', 'during-loss', 'active']) {
+  test(`Every node restores WebGL with caller lifecycle intent: ${pauseTiming}`, async ({ page }) => {
+    const session = await fixture(page);
+    await openGraph(page);
+    await page.locator('#graph-advanced > summary').click();
+    await page.locator('[data-graph-preset-choice="every"]').click();
+    await expect(page.locator('#graph-canvas')).toHaveAttribute('aria-busy', 'false');
+    await page.waitForFunction(() => window.__lifecycleEngines.at(-1).name === 'EngraphisEveryGraph'
+      && window.__lifecycleEngines.at(-1).api.state().nodeCount === 3);
+    if (pauseTiming === 'before-loss') {
+      await page.locator('.nav-item[data-view="library"]').click();
+    }
+    await page.evaluate(async () => {
+      const record = window.__lifecycleEngines.at(-1);
+      const canvas = record.host.querySelector('.engraphis-all-canvas');
+      const gl = canvas.getContext('webgl2');
+      const extension = gl.getExtension('WEBGL_lose_context');
+      if (!extension) throw new Error('The Chromium fixture requires WEBGL_lose_context');
+      record.contextCanvas = canvas;
+      record.contextExtension = extension;
+      record.drawCalls = 0;
+      const drawArrays = gl.drawArrays.bind(gl);
+      gl.drawArrays = (...args) => { record.drawCalls += 1; return drawArrays(...args); };
+      const lost = new Promise(resolve => canvas.addEventListener('webglcontextlost', resolve, { once: true }));
+      extension.loseContext();
+      await lost;
+    });
+    if (pauseTiming === 'during-loss') {
+      await page.locator('.nav-item[data-view="library"]').click();
+    }
+    expect(await page.evaluate(() => window.__lifecycleEngines.at(-1).api.exportImageCanvas())).toBeNull();
+    await page.evaluate(async () => {
+      const record = window.__lifecycleEngines.at(-1);
+      const restored = new Promise(resolve => record.contextCanvas.addEventListener('webglcontextrestored', resolve, { once: true }));
+      record.contextExtension.restoreContext();
+      await restored;
+    });
+    const paused = pauseTiming !== 'active';
+    expect(await page.evaluate(() => window.__lifecycleEngines.at(-1).api.state().paused)).toBe(paused);
+    if (paused) {
+      const before = await page.evaluate(() => window.__lifecycleEngines.at(-1).drawCalls);
+      await frames(page);
+      expect(await page.evaluate(() => window.__lifecycleEngines.at(-1).drawCalls)).toBe(before);
+      await openGraph(page);
+      expect(await page.evaluate(() => window.__lifecycleEngines.at(-1).api.state().paused)).toBe(false);
+    }
+    await expect.poll(() => page.evaluate(() => window.__lifecycleEngines.at(-1).drawCalls)).toBeGreaterThan(0);
+    expect(await page.evaluate(() => window.__lifecycleEngines.at(-1).api.state().nodeCount)).toBe(3);
+    expect(session.errors).toEqual([]);
+  });
+}
+
+for (const deviceScaleFactor of [1, 1.25, 2]) {
+  test.describe(`Classic PNG at DPR ${deviceScaleFactor}`, () => {
+    test.use({ deviceScaleFactor });
+
+    for (const reducedMotion of deviceScaleFactor === 1.25 ? [] : ['no-preference', 'reduce']) {
+      test(`Paper export preserves screen blending and ${reducedMotion} opacity`, async ({ page }) => {
+        await page.emulateMedia({ reducedMotion });
+        const session = await fixture(page);
+        await openGraph(page);
+        await page.locator('#sidebar-theme-select').selectOption('paper');
+        await expect(page.locator('body')).toHaveAttribute('data-theme', 'paper');
+        await page.locator('#graph-advanced > summary').click();
+        await page.locator('[data-graph-style-choice="classic"]').click();
+        const image = await page.evaluate(() => {
+          const { api, host } = window.__lifecycleEngines.at(-1);
+          api.pause();
+          const graph = host.querySelector('.force-graph-container canvas');
+          const overlay = host.querySelector('.graph-spacetime-overlay');
+          // Known pixels isolate export composition from changing physics and label positions.
+          for (const canvas of [graph, overlay]) {
+            const ctx = canvas.getContext('2d');
+            ctx.setTransform(1, 0, 0, 1, 0, 0);
+            ctx.globalAlpha = 1;
+            ctx.globalCompositeOperation = 'source-over';
+            ctx.clearRect(0, 0, canvas.width, canvas.height);
+          }
+          const foreground = graph.getContext('2d');
+          foreground.fillStyle = '#ff0000';
+          foreground.fillRect(10, 10, 10, 10);
+          const background = overlay.getContext('2d');
+          background.fillStyle = '#0000ff';
+          background.fillRect(10 * overlay.width / graph.width, 10 * overlay.height / graph.height,
+            30 * overlay.width / graph.width, 30 * overlay.height / graph.height);
+          const output = api.exportImageCanvas();
+          const ctx = output.getContext('2d');
+          const pixel = (x, y) => Array.from(ctx.getImageData(x, y, 1, 1).data);
+          return {
+            paneBackground: getComputedStyle(host).backgroundColor,
+            overlayBlend: getComputedStyle(overlay).mixBlendMode,
+            overlayOpacity: getComputedStyle(overlay).opacity,
+            background: pixel(0, 0), foreground: pixel(15, 15), overlay: pixel(30, 30),
+            size: [output.width, output.height], graphSize: [graph.width, graph.height],
+          };
+        });
+        expect(image.paneBackground).toBe('rgb(240, 238, 232)');
+        expect(image.background).toEqual([240, 238, 232, 255]);
+        expect(image.foreground).toEqual([255, 0, 0, 255]);
+        expect(image.overlayBlend).toBe('screen');
+        expect(image.overlayOpacity).toBe(reducedMotion === 'reduce' ? '0.42' : '1');
+        expect(image.overlay).toEqual([240, 238, reducedMotion === 'reduce' ? 242 : 255, 255]);
+        expect(image.size).toEqual(image.graphSize);
+        expect(session.errors).toEqual([]);
+      });
+    }
+
+    for (const style of deviceScaleFactor === 1.25 ? ['cyber'] : ['galaxy', 'solar', 'cyber']) {
+      test(`${style} export matches browser CSS gradient and grid pixels`, async ({ page }) => {
+        const session = await fixture(page);
+        await openGraph(page);
+        await page.locator('#graph-advanced > summary').click();
+        await page.locator(`[data-graph-style-choice="${style}"]`).click();
+        await expect(page.locator('#graph-canvas')).toHaveAttribute('data-graph-style', style);
+        await page.evaluate(() => window.__lifecycleEngines.at(-1).api.pause());
+        await frames(page);
+        const exported = await page.evaluate(() => {
+          const { api, host } = window.__lifecycleEngines.at(-1);
+          for (const canvas of host.querySelectorAll('canvas')) {
+            const ctx = canvas.getContext('2d');
+            if (!ctx) continue;
+            ctx.setTransform(1, 0, 0, 1, 0, 0);
+            ctx.clearRect(0, 0, canvas.width, canvas.height);
+          }
+          const output = api.exportImageCanvas();
+          const ctx = output.getContext('2d');
+          const width = host.clientWidth, height = host.clientHeight;
+          const points = [[width * .24, height * .22], [width * .82, height * .78],
+            [width * .62, height * .42], [width * .5, height * .5],
+            [60.25, 181.25], [60.75, 181.25], [61.25, 181.25],
+            [61.25, 180.25], [61.25, 180.75],
+            [90.25, 181.25], [90.75, 181.25], [91.25, 181.25]];
+          return {
+            size: [output.width, output.height], cssSize: [width, height], points,
+            background: getComputedStyle(host).backgroundColor.match(/\d+/g).map(Number),
+            samples: points.map(([x, y]) => Array.from(ctx.getImageData(
+              Math.floor(x * devicePixelRatio), Math.floor(y * devicePixelRatio), 1, 1,
+            ).data)),
+          };
+        });
+        // The browser's own CSS compositor is the oracle, not a duplicate gradient formula.
+        const screenshot = await page.locator('#graph-canvas').screenshot({ animations: 'disabled' });
+        const displayed = await page.evaluate(async ({ png, points }) => {
+          const bytes = Uint8Array.from(atob(png), character => character.charCodeAt(0));
+          const bitmap = await createImageBitmap(new Blob([bytes], { type: 'image/png' }));
+          const canvas = document.createElement('canvas');
+          canvas.width = bitmap.width; canvas.height = bitmap.height;
+          const ctx = canvas.getContext('2d');
+          ctx.drawImage(bitmap, 0, 0);
+          const samples = points.map(([x, y]) => Array.from(ctx.getImageData(
+            Math.floor(x * devicePixelRatio), Math.floor(y * devicePixelRatio), 1, 1,
+          ).data));
+          bitmap.close();
+          return samples;
+        }, { png: screenshot.toString('base64'), points: exported.points });
+        expect(exported.size).toEqual(exported.cssSize.map(size => Math.floor(size * deviceScaleFactor)));
+        for (let sample = 0; sample < displayed.length; sample++) {
+          for (let channel = 0; channel < 4; channel++) {
+            expect(Math.abs(exported.samples[sample][channel] - displayed[sample][channel]),
+              `${style} sample ${sample}: exported ${exported.samples[sample]}, displayed ${displayed[sample]}`)
+              .toBeLessThanOrEqual(3);
+          }
+        }
+        expect(exported.samples.some(pixel => pixel.slice(0, 3).some(
+          (value, channel) => Math.abs(value - exported.background[channel]) > 3,
+        ))).toBe(true);
+        if (style === 'cyber') {
+          // Both halves of each 1 CSS px line survive at DPR 2, with a clear gap after it.
+          // Compare with adjacent gaps: the underlying radial gradient varies across tiles.
+          for (const line of [4, 5, 7, 8]) {
+            expect(exported.samples[line][1]).toBeGreaterThan(exported.samples[6][1] + 5);
+          }
+          // At fractional DPR this stripe straddles two physical pixels. Average
+          // their coverage for contrast; both still have individual CSS pixel checks.
+          const repeatedLineGreen = [exported.samples[9][1], exported.samples[10][1]];
+          const contrastSamples = Number.isInteger(deviceScaleFactor) ? repeatedLineGreen
+            : [(repeatedLineGreen[0] + repeatedLineGreen[1]) / 2];
+          for (const green of contrastSamples) {
+            expect(green).toBeGreaterThan(exported.samples[11][1] + 5);
+          }
+        }
+        expect(session.errors).toEqual([]);
+      });
+    }
+  });
+}
diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py
index 1cceca2b..8d4eea6b 100644
--- a/tests/test_benchmark_evidence.py
+++ b/tests/test_benchmark_evidence.py
@@ -33,8 +33,8 @@
 
 
 ROOT = Path(__file__).resolve().parents[1]
-PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v114.json"
-PUBLIC_OFFLINE_SHA = "40188db31e07680e1c886ecec8ed523c6237858f0d5c63ef3159251c63538970"
+PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v115.json"
+PUBLIC_OFFLINE_SHA = "4d2cd6be29324597f0b201f8c0bd753173be69d24a274dff570c95c0db6ae629"
 
 
 @pytest.fixture(scope="module")
diff --git a/tests/test_core_store.py b/tests/test_core_store.py
index ec1a4c0f..d30c4ffc 100644
--- a/tests/test_core_store.py
+++ b/tests/test_core_store.py
@@ -1128,6 +1128,62 @@ def test_graph_neighbors_apply_workspace_and_repo_scope(store):
     assert [(edge.src, edge.dst) for edge in rows] == [("shared", "visible")]
 
 
+@pytest.mark.parametrize("prompt_only", [False, True])
+@pytest.mark.parametrize("include_ancestors", [False, True])
+def test_scoped_neighbors_preserve_both_endpoints_self_loops_and_paged_limits(
+        store, prompt_only, include_ancestors):
+    workspace_id = store.get_or_create_workspace("selected-neighbors")
+    other_workspace = store.get_or_create_workspace("foreign-neighbors")
+    repo_id = store.get_or_create_repo(workspace_id, "selected")
+    other_repo = store.get_or_create_repo(workspace_id, "other")
+    for suffix, src, dst, edge_workspace, edge_repo, provenance in (
+        ("00_pending_src", "seed", "pending-src", workspace_id, repo_id,
+         {"trusted": True, "review_state": "pending"}),
+        ("01_pending_dst", "pending-dst", "seed", workspace_id, repo_id,
+         {"trusted": True, "review_state": "pending"}),
+        ("10_public_src", "seed", "public-src", workspace_id, repo_id, {}),
+        ("11_public_dst", "public-dst", "seed", workspace_id, repo_id, {}),
+        ("12_loop", "seed", "seed", workspace_id, repo_id, {}),
+        ("13_ancestor", "seed", "ancestor", workspace_id, None, {}),
+        ("foreign_src", "seed", "foreign-src", other_workspace, None, {}),
+        ("foreign_dst", "foreign-dst", "seed", other_workspace, None, {}),
+        ("other_repo_src", "seed", "other-src", workspace_id, other_repo, {}),
+        ("other_repo_dst", "other-dst", "seed", workspace_id, other_repo, {}),
+    ):
+        store.upsert_edge(Edge(
+            id=f"edg_{suffix}", src=src, dst=dst, relation="related",
+            workspace_id=edge_workspace, repo_id=edge_repo, layer=GraphLayer.ENTITY,
+            valid_from=0, ingested_at=0, provenance=provenance,
+        ))
+    for suffix, src, dst, temporal in (
+        ("closed", "seed", "closed", {"valid_to": 50}),
+        ("unknown", "unknown", "seed", {"ingested_at": 200}),
+        ("future", "seed", "future", {"valid_from": 200}),
+        ("expired", "expired", "seed", {"expired_at": 50}),
+    ):
+        store.upsert_edge(Edge(
+            id=f"edg_{suffix}", src=src, dst=dst, relation="related",
+            workspace_id=workspace_id, repo_id=repo_id, layer=GraphLayer.ENTITY,
+            **{"valid_from": 0, "ingested_at": 0, **temporal},
+        ))
+    expected = ["edg_10_public_src", "edg_11_public_dst", "edg_12_loop"]
+    if not prompt_only:
+        expected[:0] = ["edg_00_pending_src", "edg_01_pending_dst"]
+    if include_ancestors:
+        expected.append("edg_13_ancestor")
+    flt = SearchFilter(
+        workspace_id=workspace_id, repo_id=repo_id, include_ancestors=include_ancestors,
+        valid_at=100, known_at=100,
+    )
+
+    for limit in (None, 1, 3):
+        rows = store.neighbors(
+            ["seed", "public-src"], flt=flt, layers=[GraphLayer.ENTITY],
+            prompt_only=prompt_only, limit=limit,
+        )
+        assert [edge.id for edge in rows] == expected[:limit]
+
+
 def test_memory_links_honor_known_at_empty_layers_and_large_id_sets(
         store, monkeypatch):
     from engraphis.core import store as store_mod
@@ -2740,6 +2796,59 @@ def test_secure_erase_classifies_content_free_tombstone_export(
     }
 
 
+@pytest.mark.parametrize(
+    ("entity_scope", "edge_scope", "retained"),
+    [
+        pytest.param("owned", "same", True, id="same-workspace"),
+        pytest.param("global", "global", True, id="legacy-global"),
+        pytest.param("owned", "foreign", False, id="foreign-edge-cannot-retain-owned"),
+        pytest.param("owned", "global", False, id="unscoped-edge-cannot-retain-owned"),
+        pytest.param("global", "same", True, id="global-with-owned-edge"),
+        pytest.param("global", "foreign", True, id="global-with-other-workspace-edge"),
+        pytest.param("global", "absent", False, id="global-orphan"),
+        pytest.param("owned", "absent", False, id="owned-orphan"),
+    ],
+)
+@pytest.mark.parametrize("endpoint", ["src", "dst", "self-loop"])
+def test_secure_erase_preserves_scope_compatible_shared_entity_incidence(
+        store, entity_scope, edge_scope, retained, endpoint):
+    workspace_id = store.get_or_create_workspace("erase-incidence")
+    other_workspace = store.get_or_create_workspace("foreign-incidence")
+    memory_id = store.add_memory(MemoryRecord(
+        id="mem_incidence", content="synthetic source", workspace_id=workspace_id,
+    ))
+    entity_workspace = None if entity_scope == "global" else workspace_id
+    entity_id = store.upsert_entity(Node(
+        id="ent_incidence", name="Shared synthetic entity", workspace_id=entity_workspace,
+    ))
+    store.link_memory_entity(
+        memory_id=memory_id, entity_id=entity_id, workspace_id=workspace_id, repo_id=None,
+    )
+    if edge_scope != "absent":
+        edge_workspace = {
+            "same": workspace_id, "foreign": other_workspace, "global": None,
+        }[edge_scope]
+        other_entity = store.upsert_entity(Node(
+            id="ent_other", name="Other retained entity", workspace_id=edge_workspace,
+        ))
+        store.upsert_edge(Edge(
+            id="edg_incidence", src=other_entity if endpoint == "dst" else entity_id,
+            dst=other_entity if endpoint == "src" else entity_id, relation="related",
+            workspace_id=edge_workspace,
+        ))
+
+    store.secure_erase_memory(memory_id)
+
+    assert store.get_memory(memory_id) is None
+    edge = store.conn.execute("SELECT 1 FROM edges WHERE id='edg_incidence'").fetchone()
+    assert (edge is not None) == (edge_scope != "absent")
+    entity = store.conn.execute("SELECT 1 FROM entities WHERE id=?", (entity_id,)).fetchone()
+    assert (entity is not None) == retained
+    assert store.conn.execute(
+        "SELECT 1 FROM memory_entities WHERE memory_id=?", (memory_id,),
+    ).fetchone() is None
+
+
 def test_secure_erase_defers_maintenance_for_caller_owned_transaction(store):
     wid = store.get_or_create_workspace("erase-outer-transaction")
     memory_id = store.add_memory(MemoryRecord(
diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py
index b39534bb..5a64add4 100644
--- a/tests/test_documentation_contracts.py
+++ b/tests/test_documentation_contracts.py
@@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None:
 
 def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None:
     """The current image and its alt text expose only current registered boundaries."""
-    registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v114.json"
+    registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v115.json"
     registry_bytes = registry_path.read_bytes()
     registry = json.loads(registry_bytes)
     measurements = {run["id"]: run["result"] for run in registry["runs"]}
diff --git a/tests/test_graph_engine_asset.py b/tests/test_graph_engine_asset.py
index f3cd17c6..a5a8b81c 100644
--- a/tests/test_graph_engine_asset.py
+++ b/tests/test_graph_engine_asset.py
@@ -12215,9 +12215,9 @@ def test_pane_backgrounds_are_owned_by_css_not_by_the_asset() -> None:
     for style in ("galaxy", "solar", "cyber"):
         assert f'#graph-net[data-graph-style="{style}"]' in css
     assert "data-graph-style" in source
-    # The gradients must exist in exactly one place, or the two copies drift.
-    assert "radial-gradient" not in source
-    assert "linear-gradient" not in source
+    # Authored gradients belong in CSS. Export may parse computed CSS, but must
+    # not duplicate its gradient definitions in JavaScript string literals.
+    assert re.search(r"""["'`]\s*(?:linear|radial)-gradient\s*\(""", source) is None
 
 
 def test_hover_cursor_class_the_asset_toggles_exists_in_css() -> None:
diff --git a/tests/test_graph_explorer_v2.py b/tests/test_graph_explorer_v2.py
index c2ee646d..00a71089 100644
--- a/tests/test_graph_explorer_v2.py
+++ b/tests/test_graph_explorer_v2.py
@@ -2538,6 +2538,156 @@ def test_graph_scene_cache_is_warm_and_invalidates_on_store_write():
     assert refreshed["meta"]["index_generation"] > first["meta"]["index_generation"]
 
 
+@pytest.mark.parametrize("layer_order", [(None, []), ([], None)],
+                         ids=["all-then-none", "none-then-all"])
+def test_graph_scene_cache_distinguishes_all_layers_from_no_layers(monkeypatch, layer_order):
+    service, _alpha, _beta, _gamma = _seed_service()
+    try:
+        cold_scenes = []
+        for layers in layer_order:
+            scene = service.graph_scene(workspace="acme", layers=layers)
+            assert len(scene["edges"]) == (2 if layers is None else 0)
+            assert scene["meta"]["cache_hit"] is False
+            cold_scenes.append(scene)
+
+        def fail_if_rebuilt(**_kwargs):
+            pytest.fail("repeating either layer selection must use its own warm scene")
+
+        monkeypatch.setattr(service, "_graph_scene_rows", fail_if_rebuilt)
+        for layers, cold in zip(layer_order, cold_scenes):
+            warm = service.graph_scene(workspace="acme", layers=layers)
+            assert warm["meta"]["cache_hit"] is True
+            assert warm["nodes"] == cold["nodes"]
+            assert warm["edges"] == cold["edges"]
+            assert warm["meta"]["scene_hash"] == cold["meta"]["scene_hash"]
+    finally:
+        service.store.close()
+
+
+@pytest.mark.parametrize("level", ["overview", "complete"])
+@pytest.mark.parametrize("mutate_cache_hit", [False, True])
+def test_quality_scene_cache_isolated_from_nested_response_mutation(level, mutate_cache_hit):
+    service, _alpha, _beta, _gamma = _seed_service()
+    kwargs = {"workspace": "acme", "level": level, "presentation": "quality"}
+    response = service.graph_scene(**kwargs)
+    if mutate_cache_hit:
+        response = service.graph_scene(**kwargs)
+    assert response["meta"]["cache_hit"] is mutate_cache_hit
+    expected_nodes = copy.deepcopy(response["nodes"])
+    expected_edges = copy.deepcopy(response["edges"])
+    scene_hash = response["meta"]["scene_hash"]
+
+    response["nodes"][0]["label"] = "Caller-local label"
+    response["nodes"][0]["repo_names"].append("caller-local-repo")
+    response["edges"].clear()
+
+    following = service.graph_scene(**kwargs)
+    assert following["meta"]["cache_hit"] is True
+    assert following["nodes"] == expected_nodes
+    assert following["edges"] == expected_edges
+    assert following["meta"]["scene_hash"] == scene_hash
+
+
+@pytest.mark.parametrize("level", ["overview", "complete"])
+@pytest.mark.parametrize("eviction", ["clear", "pop"])
+def test_warm_graph_cache_tolerates_eviction_during_copy(monkeypatch, level, eviction):
+    service, _alpha, _beta, _gamma = _seed_service()
+    kwargs = {"workspace": "acme", "level": level}
+    first = service.graph_scene(**kwargs)
+    cache_key, cached = next(iter(service._graph_scene_cache.items()))
+    copied = threading.Event()
+    evicted = threading.Event()
+    real_deepcopy = copy.deepcopy
+
+    def copy_before_eviction(value, memo=None):
+        result = real_deepcopy(value, memo)
+        if value is cached[1]:
+            copied.set()
+            assert evicted.wait(5), "cache eviction did not finish while the copy was in flight"
+        return result
+
+    def evict():
+        if copied.wait(5):
+            if eviction == "clear":
+                service._graph_scene_cache.clear()
+            else:
+                service._graph_scene_cache.pop(cache_key, None)
+            evicted.set()
+
+    monkeypatch.setattr(service_module.copy, "deepcopy", copy_before_eviction)
+    worker = threading.Thread(target=evict)
+    worker.start()
+    try:
+        response = service.graph_scene(**kwargs)
+        assert response["meta"]["cache_hit"] is True
+        assert response["nodes"] == first["nodes"]
+        assert response["edges"] == first["edges"]
+        assert not service._graph_scene_cache  # Promotion must not restore the old snapshot.
+    finally:
+        copied.set()
+        worker.join(5)
+        service.store.close()
+    assert not worker.is_alive()
+
+
+def test_concurrent_complete_scene_publication_preserves_cache_budgets(monkeypatch):
+    service, _alpha, _beta, _gamma = _seed_service()
+    for limit in range(1, 16):
+        service.graph_scene(workspace="acme", node_limit=limit)
+    copies_ready = threading.Barrier(2)
+    real_deepcopy = copy.deepcopy
+    results = []
+    failures = []
+
+    def synchronize_publication(value, memo=None):
+        result = real_deepcopy(value, memo)
+        if isinstance(value, dict) and value.get("meta", {}).get("cache_hit") is False:
+            copies_ready.wait(5)
+        return result
+
+    def read_complete(confidence):
+        try:
+            results.append(service.graph_scene(
+                workspace="acme", level="complete", include_memory_nodes=False,
+                min_confidence=confidence,
+            ))
+        except BaseException as exc:
+            failures.append(exc)
+
+    monkeypatch.setattr(service_module.copy, "deepcopy", synchronize_publication)
+    workers = [threading.Thread(target=read_complete, args=(confidence,))
+               for confidence in (0.0, 0.1)]
+    for worker in workers:
+        worker.start()
+    try:
+        for worker in workers:
+            worker.join(10)
+        assert not any(worker.is_alive() for worker in workers)
+        assert not failures
+        assert len(results) == 2
+        assert all(scene["meta"]["cache_hit"] is False for scene in results)
+        assert len(service._graph_scene_cache) == 16
+        assert sum(key[2] == "complete" for key in service._graph_scene_cache) == 1
+    finally:
+        copies_ready.abort()
+        for worker in workers:
+            worker.join(5)
+        service.store.close()
+
+
+def test_warm_scene_promotion_preserves_least_recently_used_eviction():
+    service, _alpha, _beta, _gamma = _seed_service()
+    try:
+        for limit in range(1, 17):
+            service.graph_scene(workspace="acme", node_limit=limit)
+        assert service.graph_scene(workspace="acme", node_limit=1)["meta"]["cache_hit"] is True
+        service.graph_scene(workspace="acme", node_limit=17)
+        assert service.graph_scene(workspace="acme", node_limit=1)["meta"]["cache_hit"] is True
+        assert service.graph_scene(workspace="acme", node_limit=2)["meta"]["cache_hit"] is False
+    finally:
+        service.store.close()
+
+
 def test_all_presentation_cache_isolated_from_response_metadata_mutation():
     service, _alpha, _beta, _gamma = _seed_service()
 
@@ -4249,6 +4399,141 @@ def test_visibility_cap_scopes_touching_edges_to_requested_repo(monkeypatch):
     assert "edg_noisy" not in {edge["id"] for edge in scene["edges"]}
 
 
+@pytest.mark.parametrize("include_history", [False, True])
+def test_touching_classification_work_is_bounded_by_selected_entities(include_history):
+    """Unrelated repository edges must not turn a small view into a workspace scan."""
+    service = MemoryService.create(":memory:", graph_extractor="none")
+    try:
+        workspace_id = service.store.get_or_create_workspace("scoped-work")
+        selected_repo = service.store.get_or_create_repo(workspace_id, "selected")
+        noisy_repo = service.store.get_or_create_repo(workspace_id, "noisy")
+        conn = service.store.conn
+        for entity_id, repo_id in (
+            ("selected-a", selected_repo), ("selected-b", selected_repo),
+            ("noisy-a", noisy_repo), ("noisy-b", noisy_repo),
+        ):
+            conn.execute(
+                "INSERT INTO entities(id, workspace_id, repo_id, name, etype, created_at) "
+                "VALUES (?, ?, ?, ?, 'concept', 0)",
+                (entity_id, workspace_id, repo_id, entity_id),
+            )
+        edge_insert = (
+            "INSERT INTO edges(id, workspace_id, repo_id, src, dst, relation, layer) "
+            "VALUES (?, ?, ?, ?, ?, ?, 'entity')"
+        )
+        conn.executemany(edge_insert, [
+            ("edg_selected", workspace_id, selected_repo,
+             "selected-a", "selected-b", "related"),
+            ("edg_loop", workspace_id, selected_repo,
+             "selected-a", "selected-a", "related"),
+        ])
+        conn.commit()
+        statements = []
+        conn.set_trace_callback(statements.append)
+        try:
+            service.graph_scene(
+                workspace="scoped-work", repo="selected", level="complete",
+                include_memory_nodes=False, include_history=include_history,
+                valid_at=100, known_at=100,
+            )
+        finally:
+            conn.set_trace_callback(None)
+        query = next(statement for statement in statements if "AS touching_count" in statement)
+
+        def measured_classification():
+            ticks = []
+            conn.set_progress_handler(lambda: ticks.append(None) or 0, 100)
+            try:
+                rows = [tuple(row) for row in conn.execute(query).fetchall()]
+            finally:
+                conn.set_progress_handler(None, 0)
+            return rows, len(ticks) * 100
+
+        baseline_rows, baseline_work = measured_classification()
+        conn.executemany(edge_insert, [
+            (f"edg_noisy_{index}", workspace_id, noisy_repo,
+             "noisy-a", "noisy-b", f"relation_{index}")
+            for index in range(3_000)
+        ])
+        conn.commit()
+        noisy_rows, noisy_work = measured_classification()
+
+        assert noisy_rows == baseline_rows
+        # Count SQLite VM instructions, not wall time. Leave room for planner/version
+        # overhead while rejecting a linear scan over the 3,000 unrelated relations.
+        assert noisy_work <= baseline_work + 2_000
+        assert noisy_rows == [("selected-a", 2), ("selected-b", 1)]
+    finally:
+        service.store.close()
+
+
+@pytest.mark.parametrize("include_history", [False, True])
+def test_self_loop_visibility_prunes_private_and_unavailable_support_before_cap(
+        monkeypatch, include_history):
+    service = MemoryService.create(":memory:", graph_extractor="none")
+    try:
+        workspace_id = service.store.get_or_create_workspace("loop-privacy")
+        other_workspace = service.store.get_or_create_workspace("foreign-evidence")
+        selected_repo = service.store.get_or_create_repo(workspace_id, "selected")
+        other_repo = service.store.get_or_create_repo(workspace_id, "other")
+        conn = service.store.conn
+        for memory_id, scope, memory_workspace, ingested_at in (
+            ("mem_public", "workspace", workspace_id, 0),
+            ("mem_private", "session", workspace_id, 0),
+            ("mem_foreign", "workspace", other_workspace, 0),
+            ("mem_future", "workspace", workspace_id, 200),
+        ):
+            service.store.add_memory(MemoryRecord(
+                id=memory_id, content="synthetic evidence", workspace_id=memory_workspace,
+                scope=Scope(scope), valid_from=0, ingested_at=ingested_at,
+            ))
+        cases = [(f"a-private-{index:03d}", ["mem_private"]) for index in range(505)]
+        cases.extend([
+            ("b-foreign", ["mem_foreign"]), ("b-missing", ["mem_missing"]),
+            ("b-future", ["mem_future"]), ("z-supportless", []),
+            ("z-public", ["mem_private", "mem_public"]),
+        ])
+        for entity_id, memory_ids in cases:
+            conn.execute(
+                "INSERT INTO entities(id, workspace_id, name, etype, created_at) "
+                "VALUES (?, ?, ?, 'concept', 0)",
+                (entity_id, workspace_id, entity_id),
+            )
+            # Workspace-wide privacy must still see a shared entity's private edge
+            # in another repository even though that edge is outside the visible view.
+            edge_repo = selected_repo if entity_id.startswith("z-") else other_repo
+            conn.execute(
+                "INSERT INTO edges(id, workspace_id, repo_id, src, dst, relation, layer) "
+                "VALUES (?, ?, ?, ?, ?, 'related', 'entity')",
+                (entity_id, workspace_id, edge_repo, entity_id, entity_id),
+            )
+            for memory_id in memory_ids:
+                conn.execute(
+                    "INSERT INTO edge_supports(edge_id, memory_id, source_kind, "
+                    "valid_from, ingested_at) VALUES (?, ?, 'manual', 0, 0)",
+                    (entity_id, memory_id),
+                )
+        conn.commit()
+        monkeypatch.setattr(service_module, "MAX_GRAPH_ANALYSIS_ENTITIES", 2)
+        monkeypatch.setattr(service_module, "MAX_GRAPH_ANALYSIS_EDGES", 2)
+
+        scene = service.graph_scene(
+            workspace="loop-privacy", repo="selected", level="complete",
+            include_memory_nodes=False, include_history=include_history,
+            valid_at=100, known_at=100,
+        )
+
+        assert {node["id"] for node in scene["nodes"]} == {"z-supportless", "z-public"}
+        assert {(edge["source"], edge["target"]) for edge in scene["edges"]} == {
+            ("z-supportless", "z-supportless"), ("z-public", "z-public"),
+        }
+        public_edge = next(edge for edge in scene["edges"] if edge["id"] == "z-public")
+        assert public_edge["support_memory_ids"] == ["mem_public"]
+        assert public_edge["support_count"] == 1
+    finally:
+        service.store.close()
+
+
 def test_history_support_cap_counts_unique_evidence_keys(monkeypatch):
     service, _alpha, _beta, gamma = _seed_service()
     monkeypatch.setattr(service_module, "MAX_GRAPH_ANALYSIS_SUPPORTS", 3)