**Overall Verdict:** Strong Accept — The submission is complete, professionally grounded, fully reachable, and supported by consistent inputs, hidden references, provenance, evaluator controls, and blind difficulty evidence.

**Completeness Check:**
- Instruction: Complete — Clearly defines the 25-case reconstruction task, inference constraints, byte-exact UTF-8 output contract, and required 168-file directory structure.
- Inputs: Complete — Contains 1,545 evaluation and 104 training raw JSONL files, two person-distinct worked examples, 25 evaluation cases, and 168 unique checkpoint specifications; all referenced files exist, parse correctly, and match their manifest hashes.
- Toolchain: Complete — Python 3.11+ and standard UTF-8/JSON processing are sufficient; evaluator code uses the standard library and is compatible with the stated Linux workflow.
- Reference output: Complete — Exactly 168 gold text files are present with matching manifest hashes, hidden checkpoint timestamps, a frozen replay decoder, certification provenance, and participant/training separation.
- Rubric: Complete — The scorer implements the stated all-checkpoints-exact case metric, exact-state and character-similarity diagnostics, structural checks, and verified perfect and empty controls.

**File and Task Reachability:**
Attachment classification: `reachable`. Task classification: `reachable`. The inspected files were `01_KisKIan_MarkerInference25_Raw_Process_Input_with_Training.zip`, `02_KisKIan_MarkerInference25_Hidden_Gold_and_Evaluator.zip`, and `03_KisKIan_MarkerInference25_GPT55_Blind_SelfTest_Evidence.zip`. All three matched their manifest sizes, were readable unencrypted ZIP archives, passed integrity checks, contained no unsafe paths or special entries, and had modest expansion sizes. Every JSON/JSONL artifact was parsed and checked for valid UTF-8; representative raw records and schemas, all manifest relationships, raw and gold hashes, provenance summaries, evaluator logic, score controls, and blind-run reports were inspected. The self-test input hash matches the submitted input archive, and each run’s 168 submission hashes reproduces its reported exact-state count. Individual student text bodies and every line of exploratory self-test helper code were not manually reproduced; uploaded Python was not executed, but key evaluator sources were inspected statically as required for safe review. An ordinary solver can infer the checkpoint markers from the worked examples, reconstruct the requested files on one machine, and be evaluated objectively with the supplied validator and scorer. 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; external public-identifiability was not checked because network search is outside the permitted review boundary.

**Recommended Changes:**
The submission provides unusually strong integrity, provenance, separation, solvability, and difficulty evidence. No changes are required.