research-lineage
Trace how an uploaded research paper builds on, modifies, adopts, compares with, or evaluates against earlier work using its bibliography and exact citation…
Skill by Siris2314
Chalk Labs
Need help deploying research-lineage?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/siris2314-research-lineage
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/research-lineage
What's inside
- Skill name
research-lineage- Description
- Trace how an uploaded research paper builds on, modifies, adopts, compares with, or evaluates against earlier work using its bibliography and exact citation contexts, with optional Semantic Scholar graph enrichment. Use for prior-work questions, concept ancestry, novelty claims, method lineage, citation relationships, foundational papers, or requests asking what a paper extends.
- License
- MIT
- Instructions
- 37 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Research Lineage Build conservative, evidence-visible links between the current paper and cited prior work. ## Workflow 1. Parse numbered bibliography entries from the uploaded paper. 2. Retrieve every in-paper context that cites each entry. 3. Filter relationships by the requested concept or method when one is supplied. 4. Classify each relationship as `extends`, `modifies`, `adopts`, `compares`, `evaluates_on`, or `background`. 5. Require explicit citation-context language for `extends`, `modifies`, or `adopts`. A graph edge alone proves only that a citation exists. 6. Prefer the paper's own citation sentence over abstracts, recommendation similarity, or citation counts. 7. Enrich titles, abstracts, authors, citation intent, and influential-citation metadata through Semantic Scholar only when configured. 8. Return the exact source page and citation context with every relationship. 9. Mark ambiguous relationships as `background` instead of guessing a stronger dependency. 10. Keep newer citing work separate from earlier referenced work; direction matters. ## Output For every connected paper, provide: - bibliography number and title - relationship label and confidence - one-sentence explanation - exact current-paper citation context and page - external URL and metadata when available - uncertainty or conflicting evidence ## Guardrails - Do not call a paper foundational because it has many citations. - Do not claim that the current paper extends another merely because both mention the same concept. - Do not let external summaries override the uploaded paper's stated relationship. - Separate architectural inheritance, training-objective inheritance, benchmark lineage, and general background. - Cache lineage by paper and concept so repeated clicks do not repeat graph requests.
From Siris2314/deep-paper-reader, MIT.
More from Siris2314/deep-paper-reader
- 0.603score
math-walkthrough
Siris2314
Parse, typeset, explain, and evaluate research-paper equations, notation, symbols, derivations, losses, objectives, tensor shapes, assumptions, and…
SkillAFreshness: A★ 2Claude Code +9 - 0.512score
figure-table-analysis
Siris2314
Analyze research-paper figures, diagrams, plots, tables, ablations, metrics, benchmark evidence, captions, and surrounding text.
SkillCFreshness: C★ 2Claude Code +9 - 0.512score
concept-card
Siris2314
Create compact, provenance-labeled concept cards for terms, acronyms, benchmarks, methods, prerequisites, model families, or UI concept popups.
SkillCFreshness: C★ 2Claude Code +9 - 0.512score
paper-term-highlighter
Siris2314
Identify and highlight significant research-paper terms from parsed paper artifacts and user-confirmed long-term term memory, especially main-method concepts…
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
tavily-background
Siris2314
Gather and synthesize external context for a research paper using Tavily Search, Tavily Research, or cached web artifacts, including concept definitions…
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
chat-answer
Siris2314
Interactive research-paper Q&A for a parsed paper workspace.
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
paper-evaluator
Siris2314
Evaluate final reports, serious chat answers, concept cards, or math explanations using deterministic checks and independent LLM-as-a-judge rubrics for…
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
implementation-reconstructor
Siris2314
Reconstruct implementation details from a research paper, including algorithms, architecture, pseudocode, data structures, training/runtime phases, missing…
SkillCFreshness: C★ 2Claude Code +9
Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 23, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Siris2314/deep-paper-reader
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Siris2314
- 0.603score
math-walkthrough
Siris2314
Parse, typeset, explain, and evaluate research-paper equations, notation, symbols, derivations, losses, objectives, tensor shapes, assumptions, and…
SkillAFreshness: A★ 2Claude Code +9 - 0.512score
figure-table-analysis
Siris2314
Analyze research-paper figures, diagrams, plots, tables, ablations, metrics, benchmark evidence, captions, and surrounding text.
SkillCFreshness: C★ 2Claude Code +9 - 0.512score
concept-card
Siris2314
Create compact, provenance-labeled concept cards for terms, acronyms, benchmarks, methods, prerequisites, model families, or UI concept popups.
SkillCFreshness: C★ 2Claude Code +9 - 0.512score
paper-term-highlighter
Siris2314
Identify and highlight significant research-paper terms from parsed paper artifacts and user-confirmed long-term term memory, especially main-method concepts…
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
tavily-background
Siris2314
Gather and synthesize external context for a research paper using Tavily Search, Tavily Research, or cached web artifacts, including concept definitions…
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
chat-answer
Siris2314
Interactive research-paper Q&A for a parsed paper workspace.
SkillCFreshness: C★ 2Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get research-lineage running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
research-lineage skill. Agent Mart. https://agentmart.dev/skills/siris2314-research-lineage (last updated 2026-10-24)