**Overall Verdict:** Accept — The submitted revision is complete, internally consistent, objectively verifiable, and usable as a synthetic sports-scheduling task.

**Completeness Check:**
- Instruction: Complete — Clear deliverable, constraints, and acceptance conditions.
- Inputs: Complete — The input package provides the instance, task specification, evaluator, score target, tools note, and licenses.
- Toolchain: Complete — Python standard library scoring is documented; optional solvers are freely obtainable.
- Reference output: Complete — A protected feasible reference and calibration fixtures were independently checked against the stated rules.
- Rubric: Complete — The feasibility gate, partial-credit formula, and full-credit threshold are explicit.

**File and Task Reachability:**
Attachment classification: reachable. Task classification: reachable. All three manifest-listed ZIP attachments were downloaded in full, matched their declared sizes, passed archive integrity checks, and contained no encrypted, traversal, link, device, or executable-binary members. I inspected the canonical input files, reference schedules, scoring configuration, provenance and licensing records, fixture checks, and both model-run records. Root package manifests verified all 247 reference-package and 231 difficulty-package covered files; JSON and JSONL records parsed successfully. The primary XML instance was parsed and contains 16 teams, 30 rounds, and 246 hard constraints. The historical compressed LP source files were inventory- and manifest-checked but not semantically decompressed due to unavailable XZ tooling; they are non-critical construction evidence.

Independent static validation confirmed the reference and alternative schedules are feasible with soft penalty 141, the partial fixture is feasible with penalty 142, and the missing-game fixture fails mandatory conditions. The solver-visible path is complete: use the eight input files to produce `schedule.json`, then score it with the trusted frozen evaluator. 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:**
public_benchmark — The evidence affirmatively identifies QOBLIB/ITC2021 as the public structural source and includes upstream materials. The submitted instance documents substantial constraint resampling and a distinct reference schedule, with retained checks showing direct public-hint reuse is infeasible. Public provenance was not independently searched in this review environment; solver access must continue to exclude the reference, construction, and difficulty-evidence packages.

**Recommended Changes:**
The submission provides a well-defined synthetic optimization workflow, strong fixture coverage, and a deterministic grader. No changes are required.