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# GAP paper-to-code map
The original implementation batches adjacent conceptual stages into two model
calls. Prompt-A returns the ordered proof-plan nodes and mutable slots; Prompt-B
re-instantiates that plan and returns the regenerated proof and question.
The package writes each conceptual output separately so every paper stage is
visible in an end-to-end run without changing either prompt.
| Paper operation | Implementation | Saved artifact |
|---|---|---|
| Surface rename | `SurfacePipeline.run_family` | `surface_<family>_variant.json` |
| 1. Reference solution to proof structure | `KernelPipeline.extract_plan` | `01_proof_dag.json` |
| 2. Content-free method plan | `KernelPipeline.extract_plan` | `02_method_plan.json` |
| 3. Mutable-slot identification | `KernelPipeline.extract_plan` | `03_mutable_slots.json` |
| 4. Proof regeneration | `KernelPipeline.generate_candidate` | `04_regenerated_proof.json` |
| 5. Problem rendering | `KernelPipeline.generate_candidate` | `05_variant_question.json` |
| Five-judge verification | `KernelPipeline.verify_candidate` | five call records and one iteration record per round |
| Consecutive-pass protocol | `KernelPipeline.verify_candidate` | `K=2`; any rejection resets the streak |
| Repair loop | `KernelPipeline._repair` | complete corrected question and solution; at most `T=15` rounds |
## Per-item artifacts
```text
items/<item-id>/
input.json
config.json
calls/<request-id>.json
stages/<stage>.json
iterations/<round>.json
final.json
```
Prompt literals are byte-locked by `PROMPT_SHA256SUMS` and
`tests/test_prompts.py`. The OpenAI adapter does not pass a temperature
argument; `o3` therefore uses its supported default.
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