**Overall Verdict:** Strong Accept — The submission is complete, coherent, objectively scored, safely isolated, and reachable end to end without material gaps.

**Completeness Check:**
- Instruction: Complete — The objective, adaptation constraints, speed equations, ordered-waypoint routing rules, chance constraints, deterministic CLI, and exact five-file output contract are explicit.
- Inputs: Complete — The package contains 1,500 measurements across 12 training sites, a valid 22-by-22 public scenario, 92 correctly flagged probes, configuration, and structural utilities; authoritative hashes match every public file.
- Toolchain: Complete — CPython 3.12, pinned NumPy 2.5.2, licensing, Linux Bubblewrap requirements, macOS parity, and fail-closed behavior are documented.
- Reference output: Complete — All five expert artifacts are present and hash-verified; predictions are ordered and bounded, the 40-row route is feasible and visits both waypoints, and the certificate matches the route.
- Rubric: Complete — The evaluator implements all scoring bands, correlated 512-sample rollouts across six protected scenarios, utility equations, qualification gates, fatal conditions, and deterministic replay checks.

**File and Task Reachability:**
The attachment set is `reachable`, and the end-to-end task is `reachable`. Both `01_INPUT_MATERIALS__SPATIAL_TERRAIN_RISK_PLANNING_INSTANCE_1.zip` and `02_REFERENCE_OUTPUT__SPATIAL_TERRAIN_RISK_PLANNING_INSTANCE_1.zip` were inspected. Review covered archive integrity and safety, documentation, licenses, requirements, contracts, public utilities, all public and protected scenario schemas, CSV dimensions and missing-value behavior, numerical truth arrays, hash manifests, expert artifacts, evaluator and sandbox source, tests, generation source, and audit reports. No relevant internal content remained unreviewed; uploaded programs were statically inspected and not executed, as required.

The completion path is clear: learn from training data, adapt from active probes, emit predictions and a speed-annotated route, validate structure and public hashes, reproduce artifacts byte-for-byte in the OS sandbox, run on six hidden scenarios, and score against protected correlated samples. The supplied status records a non-authoritative sandbox startup failure in a prior nested macOS environment, but the documented Linux Bubblewrap path is complete and fails closed, so this is not a submission barrier. 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 — no affirmative evidence supports `ai_synthetic`, `public_benchmark`, or `synthetic_defect_fixture`. External public-identifiability searching was outside the permitted evidence boundary.

**Recommended Changes:**
The submission provides unusually thorough schemas, integrity controls, protected-data separation, scoring logic, and reference evidence. No changes are required.