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Extend VLA observation-to-action benchmark guidance - #342

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@Dong1017

@Dong1017 Dong1017 commented Nov 4, 2026 •

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VLA benchmark reports can mistake latency amortized over a generated action chunk for real control cadence, and aggregate success can hide task-specific quality losses. This change adds source-bound observation-to-action, replay-denominator, precision and per-task quality guidance to the existing inference-benchmark-design owner.

Sources are Embodied.cpp at 156bed15, licensed Apache-2.0, and the companion paper v3, CC BY 4.0. The source record identifies 17 inspected files and their exact versions. The later SmolVLA experiment is not presented as a paper-v3 result.

The reference preserves the different measured-script hashes, incomplete dirty patch and absent raw episode records, as well as the reported precision and whole-device memory boundaries. Public sample arithmetic is identified separately from author-reported quality results. The registered owner remains candidate / not_run, its hardware field remains absent, and its original SearchSpace resource exclusion remains intact.

Canonical source M: d5fc2121d6d1628111403ba70ec3b70638ab8674. Native generated G and current head: 0f4433b7c9bbc1512a4ef5526f087c2a9730d239.

Native index and coverage write/check modes passed from the actual M. At H, complete checkout and source-package resource reads matched the committed bytes; the generated index and coverage were verified against the actual sources. Before M, four local test modules passed with 77 passed and 5 skipped on the base plus the six source files. An independent Sol/ultra review of the complete H found no blocking source or generated-projection issue. Ready CI passed against a tested merge whose tree equals this head. Python 3.10 and 3.11 each reported 3,544 passed, 13 skipped, 1 warning and 284 subtests; both isolated installed-wheel checks read 127 source-grounded records. The current-head model-policy declaration passed. The nonpaid SkillEval plan selected zero comparisons, with 87 unsupported paths; execution was skipped and no efficacy result follows.

The source-derived candidate does not establish upstream runtime, model, robot, device, quality, performance or agent-efficacy results.

Refs #91. Refs #177.

Knowledge authorship declaration

{
  "schema_version": 1,
  "head_sha": "0f4433b7c9bbc1512a4ef5526f087c2a9730d239",
  "human_only": false,
  "material_ai_authors": [
    {
      "tool": "Codex",
      "model_id": "gpt-6.1-sol",
      "effort": "max",
      "role": "author"
    }
  ]
}

Describe observation-to-action timing, replay denominators, precision
and per-task quality evidence using the existing benchmark owner.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Build the native catalog and coverage from source revision
d5fc212.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
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Codex Review Summary

This comment shows the latest Codex review activity on this pull request.

Review Status Commit Review trigger
📝 Code Review ✅ Completed 2026-11-04T04:57:27.059898Z 0f4433b PR opened
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Skill evaluation

PLANNED: not executed; there are no task outcomes yet.
No approval, model efficacy or current-head test result is implied.

  • Next: run the pinned source/index --check below at head 0f4433b7c9bbc1512a4ef5526f087c2a9730d239.
  • Blockers: Executable snapshot entries are not supported. No unsafe fallback; details below.
  • Selected comparisons: 0 · Estimated task calls: 0. Uncovered/unsupported changes: 87; Canonical library paths: 4; Generated projection paths: 80; Other paths: 3. These are paths, not independent claims.
  • Return: command, input/source pin, exit status, outputs/failures and untested claims for independent verified/refuted/unverified disposition.
Author verification steps (nonpaid; not yet run)
  1. Bind the checkout. Run git rev-parse HEAD; it must equal 0f4433b7c9bbc1512a4ef5526f087c2a9730d239. If it differs, obtain a current plan; do not reuse old results.
  2. Check source/index consistency. At that PR checkout, using the reviewed repository tool and its documented development dependencies, run:
python tools/build_skill_index.py --source-revision d5fc2121d6d1628111403ba70ec3b70638ab8674 --check

The declared source pin matches this head's canonical library bytes. The command has not run: retain its exit code and full drift/success output. It checks the generated projection, not claim truth or skill efficacy.
No supported automatic comparison is selected. Review the canonical changes and explain which claims need evidence, are unaffected, or remain unverified; do not treat generated records as separate behavioral claims.

  • inference-benchmark-design
    Selected by the trusted path mapping: src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md; src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json (+2 more in the plan).
    Unsupported: Executable snapshot entries are not supported. No snapshot prepared; task metadata is in details. Do not relax snapshot safety.
    Uncovered scope by location: Canonical library paths: 4; Generated projection paths: 80; Other paths: 3. Path counts are not claim counts; no metadata-only conclusion is inferred.
  1. Return evidence for independent review: head, check/task/source pin, command, environment, exit status, outputs/failures and untested claims. Label scripted controls. Request each claim's disposition: verified, refuted or unverified; this plan proves neither model provenance nor benefit.
    Check recipes and evidence limits

Evidence and logs · Retention: 30 days.
Retained artifacts are verifiable only before Unix time 1796364332 while the linked artifact is available. Expired evidence is unverified.

Plan bindings, budget, frozen exam and advisory details

Advisory: obtain missing evidence

Retained evidence availability: planned / unexecuted. No approval or merge authorization is issued.
Applicable only while these revisions and inputs match the current PR.
Paid execution requires trusted label authorization and cumulative PR reservation. Unknown accounting blocks new paid calls; planning is not execution.
Pipeline evidence only; offline fixed outputs do not establish skill efficacy.
Unchanged-correct is valid neutral evidence, not incremental benefit.
Content/source review and authorship admission remain separate.
Trusted regrading checks retained answers, not model/hardware provenance or a hostile executor; this is not an efficacy certification.

  • Retained evidence is planned / unexecuted.
  • No supported comparison cases were selected.
  • Uncovered/unsupported scope needs a case or explicit reviewer disposition.
    Plan SHA-256: ff04df86c44d010d3a3e94b23ea97a56eb5bc762e26c5fd8ca17ead45b66382b
    Base: 663f3b327998526a13aa31e72ad729025c18983c · Head: 0f4433b7c9bbc1512a4ef5526f087c2a9730d239
    Trusted implementation: 663f3b327998526a13aa31e72ad729025c18983c

Model/settings: {"effort":"not_applicable","name":"claude-opus-5-5"}
Budget: {"comparisons":0,"estimated_calls":0,"limits_per_comparison":{"campaign_seconds":600,"max_task_calls":2,"repeats":1,"timeout_seconds":180,"token_stop_new_trials":200000},"provider_config_sha256":"b28d80f8194fbe0f5a9f01515efb24b218979fd45f702776560da276f4b30d04","reservation":null}

Skill Comparison Cases Estimated calls
inference-benchmark-design unsupported snapshot: Executable snapshot entries are not supported — 0

Selection/task metadata (not a relevance verdict):

{"adapter":"audit","basis":"trusted_path_mapping","matched_paths":["src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md","src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json","src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/embodied-cpp-boundary-and-quality.md","src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/embodied-cpp-source.json"],"tasks":[{"evidence_scope":"http_fixed_workload","id":"audit-threshold","request":"Audit the fixed input report using its contract. Compute the median of per-trial request means, including every request in each trial, and the percentage reduction relative to the baseline aggregate.","split":"holdout"}]}

Automatic execution / cumulative PR budget:

{"reason":"Trusted configuration or pricing missing, invalid or expired","remaining_usd":"unknown","reserved_or_unresolved_usd":"unknown","spent_or_legacy_usd":"unknown","state":"blocked"}

Projection check selection (not an executed result):

{"declared_in":"src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md","source_revision":"d5fc2121d6d1628111403ba70ec3b70638ab8674","status":"ready"}

Provider/settings: {"client":{"api_version":"2023-06-01","endpoint":"https://yibuapi.com/v1/messages","kind":"anthropic-messages-full-context-v1","max_output_tokens":4096,"max_read_bytes":32768,"max_request_bytes":262144,"max_requests":1,"max_tool_calls":12,"provider":"yibuapi"},"limits":{"token_stop_new_trials":200000},"model":{"effort":"not_applicable","name":"claude-opus-5-5"},"pricing":{"currency":"USD","expires_at":1793271228,"group":"default","max_input_tokens":1000000,"model":"claude-opus-5-5","rate_evidence":"https://github.com/InferMatrixLab/InferRSI/issues/215#issuecomment-6467531341","rates":{"cache_read":"0.4","cache_write":"10","input":"8","output":"40"},"request_fee":"0","unit":"per_million_tokens"},"spend_limit":{"amount":"200","currency":"USD"}}

Uncovered / unsupported paths (87)
  • uncovered: "docs/reference-matrix.md"
  • uncovered: "docs/searchspace-matrix.md"
  • uncovered: "docs/skill-coverage.md"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torch-npu.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/pytorch.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json"
  • unsupported: "src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md"
  • unsupported: "src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json"
  • unsupported: "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/embodied-cpp-boundary-and-quality.md"
  • unsupported: "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/embodied-cpp-source.json"

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Source-only LGTM for the bounded #91 VLA benchmark-guidance amendment at 0f4433b7c9bbc1512a4ef5526f087c2a9730d239, against main 663f3b327998526a13aa31e72ad729025c18983c. No blocking change found in this scope.

Existing review disposition: refreshed the conversation, submitted reviews and inline threads before publication. There are no existing submitted reviews or inline threads to resolve; the automated current-head review is complete with no findings. The SkillEval evidence limitation below remains explicit rather than being counted as a successful evaluation.

Checks performed:

  • Inspected all 87 changed paths by their source/generated roles. All 78 unrelated generated records change only source provenance. Source commit d5fc2121 is reachable and its canonical bytes are unchanged at this head; all 12 source-file SHA-256 values in the affected projection match fetched current-head bytes, and projected sidecar fields match their source.
  • Matched the 17 recorded upstream paths, byte counts and Git blob identities against the complete 213-entry pinned tree. Re-read the relevant timing/pair gate, queue/replay, profiler, aggregation, server response, quality and attribution sources, plus paper v3 §4. Recomputed the public 100+100 latency arrays and memory sample summaries. The guide preserves complete-request versus generated-action timing, per-task loss, precision differences, whole-device memory and missing measured-source/raw-episode evidence; it does not attribute the later SmolVLA experiment to paper v3.
  • The existing owner stays candidate / not_run, with no hardware prerequisite or new SearchSpace mechanism. Public sample arithmetic is not a new device measurement or an independent recount of unavailable episode logs.

Current hosted evidence: all six Ready jobs and the declaration check pass. The inspected Python 3.11 log reports Ruff success, 3,544 passed / 13 skipped / 284 subtests; the isolated wheel check reads 127 source-grounded records. Tested merge 954ff5c6 has zero file differences from this head. I did not rerun repository tests or execute upstream code.

The SkillEval plan selected zero comparisons and was not executed. Its unsupported executable snapshot entry is already present with the identical mode/blob on main; this review neither relaxes that safety boundary nor treats unavailable/unknown budget or evaluation as a pass. No runtime, robot, device, quality-preservation, performance or Agent-efficacy result is established. #339's overlapping pending amendment was not combined or tested here. This COMMENT is not formal APPROVE, merge authorization, or acceptance/closure of the broader #91/#177 goals.

@Dong1017 Dong1017 added the area:knowledge Knowledge line: packs, skill library, knowledge admission label Nov 4, 2026 — with ChatGPT Codex Connector

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Review at head 0f4433b7: no defect found in the new source record/reference in isolation (tools/build_skill_coverage.py --check passes locally), but I am not approving yet because of a cross-PR integration problem:

  1. Conflicts with the other open knowledge PRs: merging this head onto main together with any of Add source-bound TTS playout benchmark guidance #339, knowledge: audit Infera serving-search result provenance #332, knowledge: validate NInfer state and completion contracts #325, knowledge: audit DeepSeek C expert-cache byte validity #324 or knowledge: distinguish Xe-Forge trial origin and timing #322 produces 81-85 conflicting files in my local trial merges (generated repo_packs/.../knowledge/**, docs/skill-coverage.md, docs/reference-matrix.md, docs/searchspace-matrix.md). Add source-bound TTS playout benchmark guidance #339, knowledge: validate NInfer state and completion contracts #325 and knowledge: distinguish Xe-Forge trial origin and timing #322 also edit the same hand-written src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md and metadata.json as this PR, so those need a real content merge, not only regeneration.
  2. Expected: please agree a merge order with the other authors; after each predecessor lands, rebase, re-merge inference-benchmark-design/SKILL.md/metadata.json, regenerate the projections from the new source revision and re-run the index/coverage checks, then request re-review on the new head (approvals would be dismissed by the push anyway).

Not verified by me: the upstream source pins/byte hashes in embodied-cpp-source.json against the upstream repository.

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