Source context panel

eartharxiv-atmosphere-air-quality 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: 2026-07-09 / JSON twin: /data/sources/eartharxiv-atmosphere-air-quality.json

Activity 24h
0
aggregate signals
Activity 7d
15
aggregate signals
Activity 30d
141
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
1
capped public panel

Top related topics and entities

EarthArXiv (organization) 18
Atmospheric Science (topic) 14
Climate Science (topic) 13
Earth Science (topic) 13
Hydrology (topic) 5
Machine Learning Research (topic) 5
Climate Modeling (topic) 3
Energy Transition (topic) 3
1550 Nm Lidar (topic) 1
Alexander S. Bradley (person) 1
Alluvial Events (topic) 1
Artificial Intelligence (topic) 1

Related streams

EarthArXiv 16

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.