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Produktivität · SKILL.md

nature-citation

nature-citation

Build, audit, and organize citation evidence for RL, MARL, LLM, and LLM Agent manuscripts. Use for related work matrices, citation gaps, DOI/BibTeX checks, baseline provenance, benchmark provenance, and Nature-style support for claims.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill-Dokumentation

GitHub

name: nature-citation description: Build, audit, and organize citation evidence for RL, MARL, LLM, and LLM Agent manuscripts. Use for related work matrices, citation gaps, DOI/BibTeX checks, baseline provenance, benchmark provenance, and Nature-style support for claims. version: 2.0.0-agent-rl

Citation and evidence-chain skill

Default stance

Every citation must support a specific claim. Do not add famous papers as decoration.

Workflow

  1. Extract claims needing citations: problem importance, prior limitation, method lineage, benchmark, baseline, metric, safety concern.
  2. Classify each citation role: foundational, direct predecessor, competing baseline, benchmark/dataset, theory, empirical evidence, limitation/safety.
  3. For RL/MARL/LLM/Agent papers, separate:
    • algorithmic ancestors;
    • benchmark or environment sources;
    • baselines and official implementations;
    • evaluation protocols;
    • safety/ethics references.
  4. Identify missing citations and over-cited statements.
  5. Prefer primary sources, official benchmark papers and recent strong baselines.
  6. When web access is available, verify DOI/arXiv/version/date before finalizing.

Output format

Citation map
| Claim | Required source type | Candidate citations | Risk if unsupported |

Related-work structure
- paragraph 1:
- paragraph 2:
- paragraph 3:

Citation risks
- outdated baseline:
- missing benchmark source:
- unsupported broad claim:

Red lines

Do not fabricate references, DOIs, BibTeX entries or author names. If verification is unavailable, label citations as unverified.

Gespeicherte Skills