Hanging Context
Source context panel

engrxiv-rss 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: 2026-10-13 / JSON twin: /data/sources/engrxiv-rss.json

Activity 24h
98
aggregate signals
Activity 7d
471
aggregate signals
Activity 30d
1,890
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
2
capped public panel

Top related topics and entities

engrXiv (organization) 144
Robotics (topic) 15
Model Evaluation (topic) 14
Industrial AI (topic) 9
Artificial Intelligence (topic) 8
Materials Science (topic) 8
RSS (organization) 8
Machine Learning Research (topic) 7
Electric Grid (topic) 6
Fluid Dynamics (topic) 6
Water Infrastructure (topic) 5
Aleksandr Sergeev (person) 4

Related streams

Engrxiv Rss 158
Engrxiv Preprint Server 99

Source-channel mix

No aggregate signal in the current window.

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.