priyanshu09102003/papertrail_agentic_research_paper_tool
PaperTrail describes a staged literature-analysis workflow that discovers papers, extracts claims, compares findings and links proposed relationships to source passages in a graph and synthesis report.
Workflow level n/a Source: Repository-documented Outcome: Not empirically evaluated here
Research applicability
README documents a scientific-literature pipeline with discovery APIs, claim extraction, document-quote checking and report/graph outputs.
Getting started
Python/TypeScript application stack, paper sources and Gemini or Ollama model configuration; inspect full setup documentation before adoption.
Maintenance
Source snapshot checked 2026-11-01; ongoing maintenance, installed behavior and current-version parity not generally verified.
License
Consult original licence and data/provider terms; source access is not reuse clearance. No licence/rights audit or installation was performed.
Workflow & human oversight
Workflow level unassigned: Tool-coordinated stages and bounded retries are documented, but human supervision and final validation are not explicit in the captured sections. Missing checkpoint documentation; inspect use/architecture guide next. Human control/boundary: Tool-coordinated stages and bounded retries are documented, but human supervision and final validation are not explicit in the captured sections. Missing checkpoint documentation; inspect use/architecture guide next.
Workflow level is not an evidence score; higher is not better evidence.
Approach
README documents a scientific-literature pipeline with discovery APIs, claim extraction, document-quote checking and report/graph outputs. Documented steps: Scope → OpenAlex/Crossref/PDF discovery → claim extraction/comparison → quote checks/classification → graph/report. Human validation and completion acceptance remain unclear.
Outcomes (as reported by the originating team)
Author reports or documentation only, not independently reproduced. No independent reproduction was performed here.
Limitations
Partial README review; no runtime or correctness check. Evidence-verification and hallucination-elimination wording are project claims; researchers must inspect original passages and comparisons.
Reproducibility
Primary-source text was read and preserved with provenance hashes. No candidate code, model, benchmark, data upload or claimed outcome was executed/reproduced.
Adoption requirements
Python/TypeScript application stack, paper sources and Gemini or Ollama model configuration; inspect full setup documentation before adoption.
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