**Overall Verdict:** Strong Accept — The submission is complete, professionally scoped, safely reachable, and supported by a coherent private evaluation path with independently verified reference results.

**Completeness Check:**
- Instruction: Complete — The four analyses, directions, meet operators, initialization, boundaries, transfer rules, expression identity, fixpoint requirement, and output schema are explicit.
- Inputs: Complete — The solver input is valid JSON containing a nine-block CFG, six variables, 32 definitions, 16 expressions, authoritative tables, and analysis-specific rules.
- Toolchain: Complete — Python 3 and NumPy are open-source, headless, single-machine compatible, and require no external services or specialized hardware.
- Reference output: Complete — Reference outputs and an independent worklist solver are supplied. Independent recomputation confirmed all 72 submitted-instance IN/OUT sets.
- Rubric: Complete — Deterministic set equality covers every analysis, block, and IN/OUT slot, provides a continuous score, and requires 1.0 to pass.

**File and Task Reachability:**
The attachment classification is `reachable`, and the end-to-end task classification is `reachable`. Both ZIP files matched their declared sizes, passed integrity checks, had modest expansion, and contained no encryption, traversal paths, links, device entries, or opaque formats.

Files inspected were `program.json`; `main.py`; `_shared_eval.py`; `reference_solution.py`; `selfcheck.py`; `requirements.txt`; `README.md`; `SUBMISSION_FORM.md`; `task_card.json`; `INTEGRATION.md`; `docs/FAQ.md`; `docs/DIFFICULTY_PROFILE.md`; `docs/PROVENANCE.md`; `_local_harness/run_local.py`; `evaluations/agent_baselines.py`; and the example and submitted-instance input, output, and grade-report JSON files. All JSON parsed successfully, and the submitted input matched the packaged submitted-instance input. The long FAQ was reviewed structurally and through relevant passages; no binary or opaque content remained unreviewed.

The private split is statically registered, uses seeds disjoint from published and submitted examples, generates the solver-visible input in process, and regenerates the same program for evaluation without staging evaluator assets. The review runtime lacked Python 3, so bundled Python programs were not executed; source was inspected statically, and a separate read-only implementation verified CFG integrity, table cross-references, reachability, schema, vocabularies, and the reference fixpoint. The unconfirmed live `cua_bench` symbol names are routine evaluator wiring, not a material task gap.

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 submission describes clean-room, procedurally generated inputs rather than AI-authored evidence or a predetermined defect fixture, and no scored answer is exposed. Public identifiability was not externally searched because review was limited to submitted evidence; nothing inspected affirmatively supports a public-benchmark label.

**Recommended Changes:**
The core task and evaluation package are ready; no material changes are required. Optional housekeeping is to correct the standalone reference solver’s stale no-argument default input filename and replace claims that all public-seed answers ship with the accurate statement that one public example answer ships.