Source context panel

nber-working-papers-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: 2026-10-12 / JSON twin: /data/sources/nber-working-papers-rss.json

Activity 24h
0
aggregate signals
Activity 7d
239
aggregate signals
Activity 30d
1,949
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
1
capped public panel

Top related topics and entities

National Bureau of Economic Research (organization) 166
Demographics (topic) 28
Labor Market (topic) 24
Health Policy (topic) 18
Fiscal Policy (topic) 11
NBER (organization) 11
Productivity (topic) 10
Public Health (topic) 10
Tax (topic) 9
Artificial Intelligence (topic) 8
Education (topic) 8
Inflation (topic) 8

Related streams

Nber Working Papers Rss 173

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.