related-works-report-from-paper-mds（纸质 MDS 的相关工作报告）

Related Works Report Pipeline

Orchestrate a full related-works reporting workflow for: $ARGUMENTS

Overview

This workflow turns a small set of paper markdown files into a reproducible report:

paper md files
-> step1 extract Related Works + cited papers
-> step2 deduplicate cited papers
-> sequential Tavily abstract lookup + local arXiv fetch
-> normalized citation companion text
-> final_related_works_report.md

The output is not just the final report. Every intermediate artifact is written into the user-selected work folder so the process can be resumed, audited, or partially rerun.

Required Inputs

Before running, collect or infer:

• PAPER_MD_PATHS: one or more paper markdown paths
• WORKDIR: a user-specified working folder

If WORKDIR is missing, ask the user for it before doing substantial work.

All process outputs and the final report must be written under WORKDIR. Do not write process artifacts elsewhere.

Constants

• TAVILY_ONLY = true — Tavily is the only allowed search mechanism for title-to-arXiv matching
• TAVILY_BATCH_MODE = sequential — finish batch N before batch N+1
• NO_SEARCH_FALLBACK = true — if Tavily fails, record the failure; do not switch to arXiv search, arXiv API search, or another provider
• LOW_CONTEXT_ABSTRACT_MODE = true — write one JSON line per title, then render markdown from JSONL
• CITATION_NORMALIZATION_REQUIRED = true — the final workflow must consider a normalized-citation companion section so Part 1 can be aligned with dedup ids like P001
• FINAL_REPORT_NAME = final_related_works_report.md

Work Folder Layout

Create and maintain these artifacts under WORKDIR:

Execution Rule

Run phases in order. Do not stop after a checkpoint unless:

• the user explicitly says to stop, or
• an input is missing and must be confirmed, or
• Tavily failures are severe enough that the user should decide whether to continue with partial results

Parallelism rules:

• Phase 1 extraction may use one clean-context sub agent per source paper.
• Phase 3 abstract lookup must run batches sequentially, not in parallel.

Phase 0: Initialize the Work Folder

1. Validate PAPER_MD_PATHS.
2. Create WORKDIR, WORKDIR/title_batches, and WORKDIR/abstract_batches.
3. Record the chosen source files in the first process artifact.

Phase 1: Extract Related Works and cited papers

Use one clean-context sub agent per source markdown file.

Each sub agent must return:

• the verbatim Related Works section
• the papers cited inside that section
• enough citation metadata to later support normalization and deduplication:

- citation token in the text ([12], Guo et al., 2017, etc.) - year - title - authors - raw reference text

Merge all outputs into WORKDIR/step1_extracted_related_works_and_citations.md.

Phase 2: Deduplicate cited papers

Build WORKDIR/step2_deduplicated_paper_list.md.

Rules:

• deduplicate conservatively by normalized title
• merge only when the works are clearly the same paper
• preserve source occurrences so every original citation can be traced back

Phase 2B: Citation normalization companion text

Before final assembly, produce WORKDIR/step1_normalized_related_works.md.

Goal:

• keep the original Related Works text untouched in step1_extracted_related_works_and_citations.md
• create a companion version where in-text citations are rewritten to dedup ids like P001

Preferred format:

• numeric citations: [12] -> [P052]
• author-year citations: (Guo et al., 2017) -> [P095]
• grouped citations: rewrite each cited work individually when the mapping is unambiguous

Rules:

• only replace citations when the mapping from source citation token to dedup id is unambiguous
• if a citation is ambiguous, keep the original token and add a short note below that section
• do not overwrite the verbatim source text

This step exists because the final report should be easy to align with the deduplicated bibliography.

Phase 3: arXiv abstracts via Tavily + local helper

Use the helper scripts stored inside this skill:

• .cursor/skills/related-works-report-from-paper-mds/scripts/fetch_arxiv_abs.py
• .cursor/skills/related-works-report-from-paper-mds/scripts/jsonl_to_abstract_batch_md.py

Search rules

• Tavily MCP only
• query shape: "<paper title>" arXiv
• preferred matches: abs, then html, then pdf
• convert html/pdf to canonical https://arxiv.org/abs/<id>
• no fallback search provider

Batch rules

• process batches sequentially
• inside a batch, process titles one by one
• if Tavily rate limits, wait and retry Tavily only
• if Tavily still fails, record the error in the JSONL and leave arXiv URL and Abstract empty

Low-context pattern

For each processed title, immediately append one JSON line to:

• WORKDIR/abstract_batches/batch_XX_fetches.jsonl

Each line should include at least:

• dedup_id
• input_title
• tavily_status
• tavily_error
• arxiv_url
• fetch

After a batch completes, render markdown with:

python3 ".cursor/skills/related-works-report-from-paper-mds/scripts/jsonl_to_abstract_batch_md.py" \
  "WORKDIR/abstract_batches/batch_XX_fetches.jsonl" \
  "WORKDIR/abstract_batches/batch_XX_results.md"

Phase 4: Final assembly

Use the final builder script stored inside this skill:

python3 ".cursor/skills/related-works-report-from-paper-mds/scripts/build_final_related_works_report.py" \
  "WORKDIR/step1_extracted_related_works_and_citations.md" \
  "WORKDIR/step2_deduplicated_paper_list.md" \
  "WORKDIR/abstract_batches" \
  "WORKDIR/final_related_works_report.md" \
  "WORKDIR/step1_normalized_related_works.md"

The final report should contain:

• Summary
• Part 1: Related Works original text
• Part 1B: citation-normalized companion text
• Part 2: BibTeX-style entries with retrieved abstracts when available

Key Rules

• Never fabricate a paper match or abstract.
• Never use non-Tavily search when resolving titles to arXiv.
• Keep all process artifacts inside WORKDIR.
• Prefer scripts inside this skill over ad hoc in-message code.
• Preserve source-paper order in Part 1.
• Preserve dedup order from step2 in Part 2.

Utility Scripts

• scripts/fetch_arxiv_abs.py — compact metadata + abstract extraction from a known arXiv URL
• scripts/jsonl_to_abstract_batch_md.py — render one batch markdown from JSONL
• scripts/build_final_related_works_report.py — assemble the final report from workdir artifacts

Additional Resources

• For copy-paste invocations and expected WORKDIR contents, see examples.md

Example Invocation

/related-works-report-from-paper-mds \
  "0_refs/paper_mds/2025_ConfidenceVLA.md 0_refs/paper_mds/2025_SAFE.md 0_refs/paper_mds/2025_FAIL_Detect.md --workdir 0_docs/related_works_report_run_02"