**Overall Verdict:** Strong Accept — The submission is complete, internally consistent, safely reachable, professionally scoped, and supported by a deterministic evaluator plus a convincing blind feasibility result.

**Completeness Check:**
- Instruction: Complete — The objective, permitted model vocabulary, required artifacts, complexity limit, interaction semantics, and acceptance thresholds are explicit.
- Inputs: Complete — Training, validation, and held-out initial-condition data are finite, rectangular, correctly sized, and consistent with the declared controls and time grids.
- Toolchain: Complete — The specified open-source Python scientific stack supports discovery, integration, validation, and evaluation on an ordinary single machine.
- Reference output: Complete — Reference equations, predictions, report, hidden trajectories, and blind self-test outputs are present and mutually consistent.
- Rubric: Complete — The private deterministic evaluator implements schema, parsing, complexity, rollout accuracy, perturbation generalization, vector-field equivalence, interaction recovery, stability, and prediction-consistency gates.

**File and Task Reachability:**
The attachment set is `reachable`, and the end-to-end task is `reachable`. Both declared archives were inspected; their downloaded sizes matched the manifest, both were valid unencrypted ZIP containers, and all members were readable regular files with safe relative paths and modest expansion.

Inspected solver-visible members included the README, metadata, three CSV data files, requirements, both schemas, the public complexity function, submission validator, and illustrative baseline. Inspected private members included the evaluation README, evaluator, complexity function, ground-truth equations and trajectories, blind discovery script, difficulty metrics and result files, and all three reference artifacts. CSV schemas, dimensions, finiteness, time grids, identifiers, control partitions, and representative records were checked. No content remained unreviewed; uploaded programs were inspected statically and not executed.

The completion path is coherent: visible trajectories and metadata support symbolic discovery; held-out initial conditions support prediction generation; the public validator checks all truth-free requirements; and the private evaluator compares integrated equations against separated hidden trajectories, vector fields, interactions, and reference assets. The 48 training trajectories, 12 validation trajectories, and 24 held-out conditions match the stated design. Reference predictions exactly match the hidden trajectories, while the blind visible-data solution reports substantial passing margins on every gate.

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 submitted evidence provides no affirmative support for an applicable screening label. Public identifiability was not externally searched because external lookup is outside the permitted evidence boundary.

**Recommended Changes:**
The task package, solver/reference separation, feasibility evidence, and evaluator coverage are valid and complete. No changes are required.