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WILLOSCAR

novelty-matrix

by WILLOSCAR

Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.

83🍴 10📅 Jan 24, 2026

SKILL.md


Novelty Matrix (overlap vs delta)

Goal: make novelty/positioning concrete by aligning each contribution against the closest prior work.

Inputs

Required:

  • output/CLAIMS.md

Optional:

  • A provided list of related work (titles/URLs/DOIs) or the submission’s reference list

Outputs

  • output/NOVELTY_MATRIX.md
  • Rows: contributions/claims (from output/CLAIMS.md)
  • Columns: closest related works (provided or cited by the paper)
  • For each row/column, record:
    • overlap: what is the same
    • delta: what is different/new
    • evidence: where this is supported (paper statement / citation / method difference)

Workflow

  1. Extract the contribution list from output/CLAIMS.md.
  2. Pick ≥5 closest related works (or state explicitly why you cannot).
  3. For each contribution, compare to each related work:
    • identify overlap
    • identify delta
    • attach evidence (quote/section/citation pointer)
  4. Summarize:
    • which contributions look clearly novel
    • which ones look like incremental variants

Definition of Done

  • Matrix includes ≥5 related works or explains why unavailable.
  • Every “delta” entry has a short evidence pointer (not just opinion).

Troubleshooting

Fix:

  • Use the paper’s own citations as the initial related set; if even that is missing, mark needs_related_work_list and stop.

Issue: overlap/delta becomes vague

Fix:

  • Force each cell to reference a concrete axis (problem setting, method component, training data, evaluation protocol, result).

Score

Total Score

70/100

Based on repository quality metrics

SKILL.md

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+20
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100文字以上の説明がある

+10
人気

GitHub Stars 100以上

0/15
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1ヶ月以内に更新

+10
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+5
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+5
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+5
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+5

Reviews

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