Source context panel

research-square-recent-preprints 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/research-square-recent-preprints.json

Activity 24h
10
aggregate signals
Activity 7d
56
aggregate signals
Activity 30d
253
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
1
capped public panel

Top related topics and entities

Square (organization) 17
Surgery (topic) 3
Artificial Intelligence (topic) 2
Hospital (organization) 2
Mental Health (topic) 2
Statistics (topic) 2
Aichi Prefecture (place) 1
Anorexia Nervosa (topic) 1
Anthony Ippolito (person) 1
Association (organization) 1
Biomarker (topic) 1
Botrytis Cinerea (topic) 1

Related streams

Research Square Preprints 19

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.