lazy-paper grows from a single-paper deep-read pipeline into a personal research knowledge base with an AI-scientist loop.
READ → ASK → GROW → CROSS-ANALYZE → EXPERIMENT + ITERATE — see the README for the image-annotated walkthrough.
Highlights
ingest/query/papers— persistent cross-paper library (LanceDB + BM25 hybrid retrieval, merged knowledge graphs); zero extra LLM calls on ingesttemplate --idea "..."— your idea becomes a question template; every section ends with a mandatory divergent[发散]question anchored in evidence but reaching past the papersynthesize --topic "..."— grounded five-section cross-paper report; bidirectional cross-analysis; ends with ≥3 new anchored questionsexp-ingest/advise— your experiments (curves, metrics, notes) become library citizens; grounded next-iteration plans with round memory (--outcomemakes advice hit-rate auditable)garden— the whole library as a star map (papers and experiments are stars), static single page, double-click to open- Grounding everywhere — span-anchored verification in deep reads,
[src: id]markers + deterministic citation checks,(推测)labels, audit sidecars for every LLM call - 406 tests, bilingual docs, five live-verified real-data acceptance rounds (including two fresh arXiv ingests through the full loop)
Full step-by-step arc in CHANGELOG.md.