| from runner import STEP_LABELS |
|
|
| EXAMPLES = { |
| "Confidence-based MBR Decoding": "https://arxiv.org/abs/2311.14919", |
| "AVerImaTeC": "https://arxiv.org/abs/2505.17978", |
| "CSCD-NS (2022)": "https://arxiv.org/abs/2211.08788", |
| } |
|
|
| TAB_NAMES = [ |
| "Pipeline Run", |
| "Citation Clusters", |
| "Target Contribution Decomposition", |
| ] |
|
|
| METHOD_NOTES = { |
| "Pipeline scope": "Runs steps 0, 1, 2, 3, 4, 5, 6, and 8, then launches cluster-first two-pass annotation.", |
| "Input": "Accepts a single arXiv URL or arXiv ID.", |
| "Cluster-first annotation": "Uses all refined downstream USES/EXTENDS clusters to derive target contributions, then decomposes each target contribution separately.", |
| "Stopping rule": "If no valid downstream usage clusters remain after refinement and filtering, annotation is skipped.", |
| } |
|
|
| DISPLAY_STEPS = [0, 1, 2, 3, 4, 5, 6, 8] |
|
|
|
|
| def pipeline_steps_markdown() -> str: |
| lines = [] |
| for idx in DISPLAY_STEPS: |
| lines.append(f"{idx}. {STEP_LABELS[idx]}") |
| lines.append("9. Cluster-first target contribution annotation and enabling contribution decomposition") |
| return "\n".join(lines) |
|
|
