**Overall Verdict:** Accept — the task is complete, objectively self-certifying, and feasible, with only nonblocking reproducibility and enforcement inconsistencies in auxiliary materials.

**Completeness Check:**
- Instruction: Complete — the equation, parameters, deliverables, sampling convention, constraints, and success criteria are explicit.
- Inputs: Complete — `problem_spec.md` fully defines the task; no external data is required.
- Toolchain: Complete — Python, NumPy, and SciPy are legally obtainable and compatible with the stated Linux resources and runtime.
- Reference output: Complete — `submission.npz` contains both required orbits with correct float64 schemas; component archives and reports are internally consistent.
- Rubric: Complete — `evaluate.py` and `bif_common.py` provide deterministic structural, residual, fundamentality, resolution, Floquet, truthfulness, and partial-credit checks. Five declared reporting keys and original input dtypes are not strictly enforced, but this does not weaken the substantive scientific gates.

**File and Task Reachability:**
Attachment classification: `partially_reachable`. Task classification: `reachable`.

Inspected `problem_spec.md`, `results.json`, `doubled_orbit_report.json`, `submission.npz`, `solver_report.json`, `trap_report.json`, `doubled_orbit.npz`, `solution.npz`, `calibration.md`, `evaluate.py`, `bif_common.py`, `find_bifurcation.py`, `find_cascade.py`, `make_doubled_ref.py`, and `DIFFICULTY.md`. All manifest byte counts matched; JSON and text were readable; the NumPy archives were unencrypted, CRC-valid ZIP/NPY containers with finite float64 payloads and safe member names. The combined archive matches the component orbit arrays byte-for-byte.

No attachment content was left unreviewed. Uploaded programs were statically inspected and not executed. The numerical residual and Floquet claims were therefore not independently rerun, but their evaluator implementation, schemas, reports, and cross-file consistency were reviewed. The auxiliary `find_bifurcation.py` references a seed orbit absent from the manifest; this does not block the task because the instruction requires solving from the equation, the evidence documents a seed-free continuation route, and evaluation depends only on the submitted outputs.

The end-to-end path is clear: construct and continue the periodic orbit, locate the multiplier crossing, switch to the doubled branch, serialize both sampled orbits, and run the deterministic evaluator. Reported reference runtimes fit comfortably within the stated single-machine budget. Reference artifacts expose exact answers and must remain evaluator-only; the manifest correctly separates them from the sole solver-visible input.

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 a screening label; public identifiability was not externally checked within the permitted evidence boundary.

**Recommended Changes:**
No material changes are required. Optional cleanup would be to include the cited seed-free turnkey solver instead of the seed-dependent auxiliary generator, and make the evaluator enforce every declared `results.json` key and original float64 dtype.