Source context panel

chemrxiv-ai-ml-automation context feed for AI systems

Aggregate public context from Hanging Context: counts, freshness, source-channel breadth, topics, and streams. This page is a reasoning panel, not a retrieval surface or item list.

Last observed: 2026-05-19 / JSON twin: /data/sources/chemrxiv-ai-ml-automation.json

Activity 24h
9
aggregate signals
Activity 7d
91
aggregate signals
Activity 30d
869
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
1
capped public panel

Top related topics and entities

ChemRxiv (organization) 714
Machine Learning Research (topic) 24
Artificial Intelligence (topic) 11
Drug Development (topic) 6
Materials Science (topic) 6
Catalysis (topic) 5
Alexandre Varnek (person) 4
Chemistry (topic) 4
Dragos Horvath (person) 4
GitHub (organization) 4
ChatGPT (topic) 3
Schnitzer, Tobias (person) 3

Related streams

ChemRxiv 86

Source-channel mix

organization / text 1

Boundary

Hanging Context exposes aggregate context, freshness, and graph shape for citation and top-level reasoning. Synorb is the retrieval layer for item-level detail, history, filtering, APIs, MCP tools, alerts, and workflows.