**Overall Verdict:** Strong Accept — The revision is complete, coherent, professionally scoped, objectively evaluable, and reachable without material risk.

**Completeness Check:**

- Instruction: Complete — Defines both prediction tasks, permitted evidence, iteration requirements, stopping rules, exact deliverables, and success threshold.
- Inputs: Complete — All declared datasets are present and internally consistent; row counts, schemas, identifiers, legal-item coverage, graph dimensions, CSR invariants, split separation, and sequence encodings were verified.
- Toolchain: Complete — A frozen environment specifies Python 3.12–3.13 and resolves the declared open-source CPU modeling stack with compatible Linux wheels and hashes.
- Reference output: Complete — Hidden A1 and A2 ground truths have the expected schemas and exactly align with solver-visible test identifiers; they are separated from the input archive.
- Rubric: Complete — Structural failure conditions, Accuracy, NDCG@10, the combined score, trajectory validation, tolerance, and the 0.65 success threshold are fully specified and implemented consistently.

**File and Task Reachability:**

Attachment classification: `reachable`. Task classification: `reachable`. Both manifest attachments were fully downloaded and safely inspected: `afac2026_input_materials.zip` and `afac2026_reference_dependencies.zip`. They are readable, unencrypted ZIP archives containing only regular files and directories, with no traversal paths, links, unsafe entries, or excessive expansion.

The reviewed input members were `README.md`, `task_spec.json`, `trajectory_sample.json`, both runtime-environment files, all A1 CSV files and the eight-array NPZ graph container, and all A2 CSV files. The reviewed evaluator members were both ground-truth CSV files, `evaluation_spec.md`, and the evaluator source as non-executed text. Large CSVs were parsed across all rows, and the NPZ member headers, dimensions, data types, ranges, finiteness, and CSR relationships were checked. No manifest attachment or archive member was left unreviewed, and no attachment-format limitation affected the review.

The completion path is end to end: create the frozen CPU environment, derive validation solely from visible training data, train and iterate on both tasks, generate the three specified outputs, apply strict structural validation, and score against isolated references using the stated formula. The approximately 49 MB expanded input and model choices are suitable for an ordinary single Linux machine. 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. The metadata identifies a competition-derived local validation split, but external public availability of the source data or labels could not be verified within the permitted evidence boundary; no protected answers appear in the solver-visible archive.

**Recommended Changes:**

The submission provides a strong, internally consistent task package with complete data, runtime, references, and evaluator coverage. No changes are required.