**Overall Verdict:** Strong Accept — The submission is complete, internally consistent, objectively gradable, and provides a credible end-to-end reproduction path with strong provenance controls.

**Completeness Check:**
- Instruction: Complete — The objective, fixed seeds, model configuration, evaluation protocol, probe settings, deliverables, and prohibited deviations are explicit.
- Inputs: Complete — The deterministic generator is supplied, while the paper, pinned repository revision, and replacement checkpoint are precisely identified.
- Toolchain: Complete — The required Linux, Python, PyTorch, Git, dependency, compute, and network requirements are practical and sufficiently specified.
- Reference output: Complete — The bundle contains reference metrics, checksums, implementation scripts, full 32-epoch traces, a training-log excerpt, and a complete example submission.
- Rubric: Complete — The standard-library grader defines structural checks, weighted metrics, provenance gates, finite-value validation, trajectory checks, and a deterministic score contract.

**File and Task Reachability:**
Attachment classification: `reachable`. Both manifest attachments were inspected: `02_input_materials.zip` is a valid, unencrypted 4,301-byte ZIP containing `task_statement_solver.md` and `gen_games.py`; `02_reference_output_and_grader.zip` is a valid, unencrypted 135,409-byte ZIP containing `reference.json`, `grade.py`, reference scripts, metrics, checksums, logs, traces, and duplicate submission-ready artifacts. All 17 reference-bundle members were inspected or byte-compared with their inspected duplicates. The JSON and trace files parse correctly; both traces contain six expected arrays, 32 epochs, and 32x60 stratified matrices. No archive traversal paths, links, encryption, corruption, unsafe entries, or unexplained executables were found. No attachment content remained unreviewed. Uploaded Python sources were reviewed statically and were not executed. Availability of the documented public repository and checkpoint endpoint was not independently revalidated under the evidence boundary.

Task classification: `reachable`. A solver can obtain the pinned code and checkpoint, generate the seeded datasets, evaluate legal moves, extract layer-6 activations, train both probes on one suitable machine, assemble the exact deliverables, and receive an objective score. The supplied reference results, checksums, traces, and scripts are mutually consistent with that path. 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 task explicitly reproduces results from a named public paper using a public repository and checkpoint. This is materially mitigated by evaluator-hidden seeded checksums, full optimization-trajectory gates, internal metric consistency checks, and separation of solver-visible inputs from reference outputs, so copying published headline values cannot earn credit.

**Recommended Changes:**
No changes are required.