paperloom

Keep every paper you care about. See how they connect. Drop in a URL, arXiv ID, DOI, or PDF — Claude files it into an Obsidian vault, extracts the atomic claims, and wires them to everything you've read before with typed edges: supports, contradicts, extends, uses, similar-to.

Based on Andrej Karpathy's LLM Wiki pattern, tuned for research papers. 4 LLM calls per paper. Zero manual filing. Linking cost stays constant as the graph grows.

Features

• 4-section triage summary per paper — Key Takeaways → Background → Main Idea & Summary → Critique. The critique is generated by a reasoning model, so you get critical thinking, not a polite restatement of the abstract.
• Structured metadata + quality scores — authors, venue, date, fields, and a quality assessment (credibility, experimental rigor, reproducibility) on every paper.
• Atomic findings as graph nodes — one claim per file, with frontmatter and backlinks.
• Typed edges — supports, contradicts, extends, uses, similar-to; auto-aggregated to paper-level (cites, builds-on, …).
• Deterministic citation matching — arXiv ID → DOI → fuzzy title → first-author+year. The LLM never sees the reference list.
• Constant-cost linking — pre-filter caps the LLM at ≤30 candidate findings, so the 100th paper costs the same as the 10th.
• Cross-paper contradiction surfacing — bidirectional, with a pre-built Dataview view.
• Pre-built Dataview views — by-author, by-field, contradictions, high-credibility, recent-papers.
• Obsidian-native — plain wikilinks + YAML frontmatter, no custom app, no lock-in.

Quick Start

# 1. Install the plugin
claude --plugin-dir /path/to/claude-paperloom

# 2. Scaffold your vault (default ~/PaperLoom)
#    On first run, this creates `.venv` at the plugin root and installs
#    dependencies from `requirements.txt` automatically.
/paperloom:init

# 3. Ingest your first paper
/paperloom:ingest https://arxiv.org/abs/1706.03762

Open the vault folder in Obsidian and turn off Restricted Mode once to activate Dataview.

Commands

Docs

• Pipeline — the 4-LLM-call ingest pipeline, section detection, models, token cost.
• Linking — five-layer linking, relation types, paper-level aggregation.
• Architecture — vault layout, plugin structure, design principles, out-of-scope.