title	RECON
emoji	🔍
colorFrom	blue
colorTo	indigo
sdk	gradio
sdk_version	6.10.0
app_file	app.py
pinned	true
license	mit
short_description	Multi-agent ML literature research with staleness detection

For full documentation, architecture details, and eval results: GITHUB_README.md

RECON — Temporally-Aware Scientific Retrieval

A multi-agent RAG system that detects when retrieved scientific evidence has been superseded by newer work.

Try it: Enter any research question. RECON retrieves papers from Semantic Scholar and OpenAlex, scores their reliability using a three-signal formula (citation centrality + recency + content coherence), and flags stale or contradicted evidence before synthesizing an answer.

Each paper in the results shows a reliability label: FOUNDATIONAL, CURRENT, DECLINING, or SUPERSEDED.

Evaluation: 44% staleness catch rate on a 130-question benchmark of real scientific supersession chains. Single-pass RAG baseline: 0%.

---

Built by Mukul Ray | GitHub