**Overall Verdict:** Accept — The submission is complete, technically reachable, and objectively evaluable, with consistent references and reproducible difficulty scores.

**Completeness Check:**

- Instruction: Complete — Deliverables, musical constraints, onset tolerance, voice assignment, and scoring are explicit.
- Inputs: Complete — All 20 recordings are readable mono, 44.1 kHz, 16-bit PCM; the piece table has the required metadata.
- Toolchain: Complete — Open-source Python and audio tools provide a viable Linux, CPU-only workflow.
- Reference output: Complete — Twenty reference files contain 1,799 notes satisfying the disclosed grid, ranges, key restrictions, ordering, and rest rules.
- Rubric: Complete — Deterministic maximum matching and per-piece F1 implement the stated scoring contract; independently checked fixtures reproduce scores of 1.00, 0.00, 0.10, 0.20, and 0.35.

**File and Task Reachability:**

Attachment classification: `reachable`. Task classification: `reachable`.

Inspected `1_input_materials.zip`, `2_reference_and_evaluation.zip`, and `3_self_test_evidence.zip`, including `TASK.md`, `pieces.csv`, all 20 WAVs, reference JSONs, evaluator sources, authoring documentation, reports, and fixture outputs. Archive sizes match the manifest; integrity and container-safety checks passed. Text, CSV, and JSON content is readable. Duplicate inputs and fixtures agree, and solver-visible inputs contain no reference answers.

The completion path is audio analysis followed by 20 transcription CSVs and hidden-reference evaluation. Supplied programs were not executed. Auditory intelligibility and human completion rates were not directly established; complete frontier transcripts and historical kill-test audio were not supplied. The evidence supports computational feasibility within the stated budget, not guaranteed perfect transcription.

License keys, accounts, tokens, and other credentials are not required from the contributor. Confidential, proprietary, or internal material may be evaluated as submitted evidence without requiring additional disclosure.

**Special Screening:**

None. Authoring evidence establishes procedural composition and synthesized recordings rather than actual lost-master recovery, but does not establish AI fabrication. Public provenance could not be independently checked; the supplied evidence does not establish a public benchmark.

**Recommended Changes:**

The precise specification, validated references, and graded controls provide a usable submission. No changes are required. A human transcription pilot would optionally strengthen difficulty calibration.