PaSaMaster is a self-evolving agentic literature retrieval system that improves F1-score by 15.6X over keyword search and outperforms GPT-5.2 by 30% at 1% cost with zero source hallucination across 38 disciplines.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Towards Self-Evolving Agentic Literature Retrieval
PaSaMaster is a self-evolving agentic literature retrieval system that improves F1-score by 15.6X over keyword search and outperforms GPT-5.2 by 30% at 1% cost with zero source hallucination across 38 disciplines.