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Preserve review reruns and complete the embedding baseline #2

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kleb merged 64 commits from benchmark/complete-baseline-20261030 into main

2026-10-30 07:10:29 +01:00

kleb commented

2026-10-30 06:45:37 +01:00

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The embedding baseline now covers all 248 supported cases with 878 result records and 1,756 hash-verified result/evidence files. CPU and iGPU work stays on kEmbed01/02; CUDA work stays on root-PC. The BGE recovery uses explicitly separate fixed-sequence timing cohorts, verified GPU-only execution and numeric acceptance, guarded memory, and a progress-stall watchdog. The 15 E5-small/2048 combinations remain unsupported rather than being silently shortened. Both VMs are restored to 12 GiB RAM and benchmark workers are drained.

The integration fix scopes hardware result loading to embedding and OCR, so retained review campaign artifacts no longer break the site by being parsed as hardware results. Existing measured artifacts are unchanged. The unrelated untracked GPU requirements document is not included. No deployment.

Proven with 342 Python tests, 32 Bun tests, Astro typecheck and the full static build, including 1,837 validated hardware results and byte-identical published evidence. The 899 newly added evidence files pass an aggregate privacy field audit, and all complete-baseline file hashes still match.

The first review findings are fixed: successive reruns retain hash-bound references to the original completed calls; OpenVINO rejects precision labels it cannot execute; and new v3 scoring uses the conventional latency median while historical score artifacts remain immutable. The first review reported incomplete coverage (553 partially reviewed files); this is a merge blocker, not a clean verdict.

The benchmarks needed fresh, reproducible measurements without losing earlier results or mixing experiments. This retains the verified multilingual 64-PR review fixtures, isolated provider runners, judge-free deterministic scoring, sanitized evidence, and explicit remainders after provider calls were stopped. Held provider calls remain stopped. The embedding baseline now covers all 248 supported cases with 878 result records and 1,756 hash-verified result/evidence files. CPU and iGPU work stays on kEmbed01/02; CUDA work stays on root-PC. The BGE recovery uses explicitly separate fixed-sequence timing cohorts, verified GPU-only execution and numeric acceptance, guarded memory, and a progress-stall watchdog. The 15 E5-small/2048 combinations remain unsupported rather than being silently shortened. Both VMs are restored to 12 GiB RAM and benchmark workers are drained. The integration fix scopes hardware result loading to embedding and OCR, so retained review campaign artifacts no longer break the site by being parsed as hardware results. Existing measured artifacts are unchanged. The unrelated untracked GPU requirements document is not included. No deployment. Proven with 342 Python tests, 32 Bun tests, Astro typecheck and the full static build, including 1,837 validated hardware results and byte-identical published evidence. The 899 newly added evidence files pass an aggregate privacy field audit, and all complete-baseline file hashes still match. The first review findings are fixed: successive reruns retain hash-bound references to the original completed calls; OpenVINO rejects precision labels it cannot execute; and new v3 scoring uses the conventional latency median while historical score artifacts remain immutable. The first review reported incomplete coverage (553 partially reviewed files); this is a merge blocker, not a clean verdict.

kleb added 63 commits

2026-10-30 06:45:37 +01:00

Record isolated 64-PR review rerun and provider blockers 02d0b877a2

Use isolated Claude CLI and judge-free target scoring 9c2d06e3ff

Use provider maximum review output budgets in new cohorts 36da81c0fc

Record judge-free OpenAI scores with sanitized call evidence 24bd44cab7

Verify explicit Claude thinking-off modes and retain full Haiku xhigh rerun ea13fa3f44

Record drained user stop and kReview-compatible offline scores ad0f77c3ed

Track disjoint iGPU embedding rerun and guarded host allocation f84b18c30e

Record guarded embedding results and authorize 16 GiB GPU recovery e7901185b0

Retain 16 GiB GPU and disjoint iGPU embedding measurements 1e96d2f674

Preserve GPU headroom remainders and additional embedding evidence 1021bb0f37

Record completed Jina GPU sweep and final GPU coverage 4a4a33d771

Preserve first kEmbed01 measurements before pending-only recovery b7edd1624a

Record complete disjoint kEmbed02 embedding shard 3e4ddbcafa

Preserve CPU measurements before global-memory pressure recovery 3877b567f9

Record completed kEmbed01 shard and preserve CPU pressure remainders 53076352f8

Track CPU recovery after sustained host headroom clearance 1407c9cf90

Preserve root-PC reboot handoff and clarified host allocation 7a97851ad0

Run disjoint CPU embedding cohorts on both kEmbed VMs 2ac57b3145

Record first guarded CPU VM results and native execution proofs 5cdb88a0b2

Preserve ten CPU VM completions and guarded recovery handoff ae035eeb7b

Record CPU retrieval scores and preserve guarded Qwen remainder 0e4a3edba4

Record expanded CPU VM embedding coverage fb567a58ef

Record further kEmbed CPU embedding checkpoints 60056eea3d

Record completed kEmbed02 CPU cohort 918919a648

Record CPU VM Gemma and BGE checkpoint d59b59ae47

Document deferred CPU memory cases ecc86274e9

Record one retry for each errored CPU cell 1535398b60

Note excluded control retry 453972f168

Record expanded guard embedding retry e7beb45987

Record successful expanded Qwen contest retry e5d4c0d6ba

Record expanded embedding retry results ece9874753

Clarify expanded retry guard policy eb475a24e5

Normalize imported embedding evidence endings a114fd97e5

Record Qwen DL CPU retry 7b669d72be

Record Qwen code screen CPU retry 40e9025af2

Split remaining CPU work across both kEmbed VMs dec7bcd4a6

Add aggregate progress telemetry for future embedding runs 055ea478b2

Preserve Qwen CPU2 completion and memory-limited remainder 6317df1fe2

Recover RAM-limited cohorts and correct missing Jina coverage e46626ae41

Complete GPU embedding remainders at the expanded RAM cap 1649498357

Finish Qwen CPU memory recovery with verified output 060023d185

Complete and preserve the kEmbed01 BGE CPU shard 277d442234

Record disjoint Jina redistribution and guarded RAM allocation 7721ce466b

Finish all supported embedding benchmarks and verify complete coverage 1a479829c1

Recover blocked iGPU embedding backends with verified setup 39141f4a39

Dispatch disjoint iGPU recovery and preserve first verified scores 7504228d13

Preserve first ten recovered iGPU benchmark cases 4c797ae013

Restart hung BGE-M3 worker and preserve 41 completed cases bfd0eff66d

Fail and hold benchmark lanes when aggregate progress stalls f878747206

Bind each case progress watch explicitly 8744b07e44

Investigate OpenCL spin and recover disjoint remaining iGPU cases 89bfdcc25b

Add explicit bounded-shape OpenVINO recovery cohorts a7dd1a6335

Support verified GPU compiler scheduling cohorts 9d9256cd9c

Add explicit static-sequence OpenVINO timing cohorts fec1a956a6

Preserve bounded GPU admission and numeric acceptance evidence fd72d09cb9

Record static sequence acceptance and retain failed recovery history 25f6f1be05

Collect all eight remaining Jina iGPU prefix measurements 3531b1c875

Verify recovery collection checkpoint after Jina completion 2813713523

Collect first two successful static-sequence BGE measurements 51fb42ce3d

Assign unstarted validation to idle iGPU with verified native admission 28431f22c6

Collect remaining BGE iGPU measurements with verified evidence 5e5df08285

Verify complete embedding baseline and restored VM allocations 92816756a3

Keep retained review campaigns separate from hardware result loading 028d9cd13f

kAgent commented

2026-10-30 06:45:43 +01:00

First-time contributor

kReview review

Verdict: 1 Medium

Partial review: This review did not cover 553 of 1877 changed files in full. See the files and code sections below.

The retained checkpoints contain conflicting hashes for two Voyage results, so at least one checkpoint cannot verify its listed files.

Medium (1)

Reconcile the Voyage result hashes · embedding/completions/igpu-recovery-checkpoint-20261030-54-cases.json:134
The 54-case checkpoint cannot verify both Voyage synthetic result files against the earlier checkpoints. For the 2048 result, this line records 11afa446..., while igpu-setup-checkpoint-20261029-7cce6526d850.json:23 records f5cd152e... for the same path. The 512 result also has conflicting hashes in those files. At least one checkpoint has incorrect hashes.
Suggested fix: Recalculate both synthetic result hashes from the retained files and correct the affected checkpoint entries.

Partially reviewed

This review checked only parts of these files:

553 partially reviewed files

embedding/completions/baseline-20261029.json
embedding/completions/baseline-recovered-20261030.json
embedding/completions/igpu-recovery-checkpoint-20261030-54-cases.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-dense-1024d-e58e6dcc3575.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-dense-2048d-8636183e8a38.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-dense-256d-555950d1c71c.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-dense-512d-15f6eb1ec69a.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-hybrid-1024d-4bf04eea2505.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-hybrid-2048d-02a26a1767e3.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-hybrid-256d-0ac2493b96b2.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-hybrid-512d-beefee93f8e0.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-lexical-1024d-797675478b7c.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-lexical-2048d-13b7abd9c247.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-lexical-256d-f50a82ccb30b.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-lexical-512d-736952dc2821.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-dense-1024d-2bc70c4a394f.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-dense-2048d-65198d8b994b.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-dense-256d-41141277f7fe.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-dense-512d-1a0759e44bbd.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-hybrid-1024d-a17e5fe0bf52.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-hybrid-2048d-5e065a0cc761.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-hybrid-256d-72936684bd26.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-hybrid-512d-0a9406b2ac22.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-lexical-1024d-2aaf7709c0b6.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-lexical-2048d-b2e76da27ac3.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-lexical-256d-c0b4ae20779f.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-lexical-512d-0f785e10129d.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-combined-native-index-bf8cca9e5ae0.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-latency-change-ebab5da262b5.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-latency-short-c863331755c8.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-memory-new-dense-1024d-c88aa09fcdf8.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-memory-new-dense-2048d-2bc50ac42c6c.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-memory-new-dense-256d-dbbe3adfc267.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-memory-new-dense-512d-f111809721fa.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-memory-original-dense-1024d-74c3f79b1e27.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-memory-original-dense-2048d-2860bd9f8c94.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-memory-original-dense-256d-d56ae61d59fd.json
embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-memory-original-dense-512d-e507149a17c1.json
embedding/evidence/r2c48d7f9a4674cc0-cpu1-r7664b33260f94780-cpu1-e-qwen3-dl-512.json
embedding/evidence/r4a83ab642c1e-cpu2-qwen3-dl-2048.json
embedding/evidence/r4b14cf9a-qwen3-memory-s-512-screen-dense-1024d-87ca770d4142.json
embedding/evidence/r4b14cf9a-qwen3-memory-s-512-screen-dense-128d-504e37a728c4.json
embedding/evidence/r4b14cf9a-qwen3-memory-s-512-screen-dense-256d-b5e346364bf0.json
embedding/evidence/r4b14cf9a-qwen3-memory-s-512-screen-dense-32d-92b7bd6eff46.json
embedding/evidence/r4b14cf9a-qwen3-memory-s-512-screen-dense-512d-bf56453d208a.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-changed-references-dense-128d-7adeffb92666.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-changed-references-dense-256d-77c82d66c835.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-changed-references-dense-512d-71a4432b244c.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-changed-references-dense-768d-cafc6550339c.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-changed-references-hybrid-128d-b79a2effe942.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-changed-references-hybrid-256d-3cf0b01004bb.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-changed-references-hybrid-512d-a88b23df4879.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-changed-references-hybrid-768d-29998684c57e.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-changed-references-lexical-128d-0eb0c1283efd.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-changed-references-lexical-256d-d5b276637bd2.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-changed-references-lexical-512d-0319ad82deb3.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-changed-references-lexical-768d-58ec3b3f9ad9.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-dense-128d-b18c6bae1b4d.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-dense-256d-65475aebea3f.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-dense-512d-46c52e4959fe.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-dense-768d-d42ec23c25bd.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-hybrid-128d-8cda9e4fb571.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-hybrid-256d-28b51f5a111c.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-hybrid-512d-d5d3265a7ebb.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-hybrid-768d-6a60c244dda7.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-lexical-128d-c9598b7be2bb.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-lexical-256d-42a6633ad857.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-lexical-512d-b9e58fb4c5fe.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-code-lexical-768d-299f5a25421d.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-combined-native-index-8a9cc9424cac.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-latency-change-87122a850280.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-latency-short-4cb6d1f46799.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-memory-new-dense-128d-6ea8db832ce2.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-memory-new-dense-256d-6572ed9c5d38.json
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embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-memory-new-dense-768d-9901e27a0f45.json
embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-memory-original-dense-128d-c4f68915514d.json
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embedding/evidence/r576206b9fb9146af-gpu-e-gemma-val-2048-memory-original-dense-768d-cb8b1e961978.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-code-512-screen-dense-128d-1a99b86e899f.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-code-512-screen-dense-256d-c6716b51d082.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-code-512-screen-dense-512d-e25fccc48daa.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-code-512-screen-dense-64d-cddaaef45e19.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-code-512-screen-dense-896d-5c524a1b5737.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-contest-512.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-dl-2048.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-dl-512.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-mem-512-screen-dense-128d-a0750b655870.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-mem-512-screen-dense-256d-8df6b3e4bed1.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-mem-512-screen-dense-512d-c66e8af85bbb.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-mem-512-screen-dense-64d-d7480ddfd358.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-mem-512-screen-dense-896d-fa854583061a.json
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embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-changed-references-hybrid-128d-b4a84fefc959.json
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embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-changed-references-lexical-128d-bbca2b6fa0bb.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-changed-references-lexical-256d-bc0a3c644431.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-changed-references-lexical-512d-ab9e600cc9a5.json
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embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-dense-128d-80eb8eb7630f.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-dense-256d-e9ce6dccc237.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-dense-512d-67f6ddf99cac.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-dense-64d-d312950b230a.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-dense-896d-18a8632ed095.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-hybrid-128d-0a8af4fe0ff4.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-hybrid-256d-543d7bce63a4.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-hybrid-512d-ad652d758896.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-hybrid-64d-1d217ab2ecbc.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-hybrid-896d-f60ef7dd5e00.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-lexical-128d-00dcdb820b11.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-lexical-256d-8a878d1774d1.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-lexical-512d-593e40eb76bd.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-lexical-64d-f3e6f966e5c2.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-code-lexical-896d-aaa569ed8897.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-combined-native-index-04fcc03573c3.json
embedding/evidence/r61e4a984dee14aaa-gpu-e-jina-val-2048-latency-change-529b65694db9.json
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embedding/evidence/rf9c52419513e-cpu1-jina-val-2048-memory-original-dense-512d-5203e014b0f1.json
embedding/evidence/rf9c52419513e-cpu1-jina-val-2048-memory-original-dense-64d-54b67bfd0731.json
embedding/evidence/rf9c52419513e-cpu1-jina-val-2048-memory-original-dense-896d-ea729953e706.json

kReview checked only the PR diff, metadata, and supplied repository context at e2dd79213c. It reports only issues supported by this material.

Estimated cost: ~$22.84 total (23.3M in / 13.9k out); this run ~$11.59 (12.0M in / 8.1k out) / gpt-6.1-terra.

Run time: 12:15 total; this run 2:59.

## kReview review **Verdict:** 1 Medium > **Partial review:** This review did not cover 553 of 1877 changed files in full. See the files and code sections below. The retained checkpoints contain conflicting hashes for two Voyage results, so at least one checkpoint cannot verify its listed files. ### Medium (1) - **Reconcile the Voyage result hashes** · [`embedding/completions/igpu-recovery-checkpoint-20261030-54-cases.json:134`](https://git.kleb.sh/kleb/benchmark/src/commit/e2dd79213c5674138515564696080ad6fce4cd88/embedding/completions/igpu-recovery-checkpoint-20261030-54-cases.json#L134) The 54-case checkpoint cannot verify both Voyage synthetic result files against the earlier checkpoints. For the 2048 result, this line records `11afa446...`, while `igpu-setup-checkpoint-20261029-7cce6526d850.json:23` records `f5cd152e...` for the same path. The 512 result also has conflicting hashes in those files. At least one checkpoint has incorrect hashes. Suggested fix: Recalculate both synthetic result hashes from the retained files and correct the affected checkpoint entries. ### Partially reviewed This review checked only parts of these files: <details> <summary>553 partially reviewed files</summary> - `embedding/completions/baseline-20261029.json` - `embedding/completions/baseline-recovered-20261030.json` - `embedding/completions/igpu-recovery-checkpoint-20261030-54-cases.json` - `embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-dense-1024d-e58e6dcc3575.json` - `embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-dense-2048d-8636183e8a38.json` - `embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-dense-256d-555950d1c71c.json` - `embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-dense-512d-15f6eb1ec69a.json` - `embedding/evidence/r1e044ec73acd455c-gpu-e-voyage-val-2048-code-changed-references-hybrid-1024d-4bf04eea2505.json` - 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It reports only issues supported by this material._ _Estimated cost: ~$22.84 total (23.3M in / 13.9k out); this run ~$11.59 (12.0M in / 8.1k out) / gpt-6.1-terra._ _Run time: 12:15 total; this run 2:59._

kleb added 1 commit

2026-10-30 06:59:28 +01:00

Preserve review reuse lineage and validate reported precision and median e2dd79213c

kleb commented

2026-10-30 07:03:20 +01:00

Author

Owner

Dismissed "Reconcile the Voyage result hashes": the quoted 54-case entry is voyage-contest-2048-pfx.json (SHA-256 11afa446...), while the earlier checkpoint entry is voyage-syn-2048-pfx.json (f5cd152e...). These are different datasets and paths. Both checkpoints record f5cd152e... for syn/2048 and 0136c690... for syn/512. Recalculating all eight retained Voyage result hashes matches the 54-case checkpoint; all 20 file paths shared by the two checkpoints have identical hashes matching the retained bytes. No checkpoint or measured file needs rewriting.

kleb merged commit caa602a204 into main

2026-10-30 07:10:29 +01:00

kleb referenced this pull request from a commit

2026-10-30 07:10:29 +01:00

Merge pull request 'Preserve review reruns and complete the embedding baseline' (#2) from benchmark/complete-baseline-20261030 into main

kleb deleted branch benchmark/complete-baseline-20261030

2026-10-30 07:10:29 +01:00