SIGNAL ID · 02
STALE
18,654
EVIDENCE PASSPORT
LAST FETCH
2026-05-26 13:52:51 UTC
AGE
4h ago
METHODOLOGY
v1.0.1
CONFIDENCE
HIGH
MEASUREMENT RISK
MEDIUM
EVIDENCE STRENGTH
●●○
MODERATE
COLLECTION
live_api
SNAPSHOT
6def63c7
sha256:6def63c79a956bdcf1038329762738ffff76e10ca08c0d01ee7dac8a28b5baa6
WHY THIS SIGNAL MATTERS
Tracks the volume of AI/ML papers posted to arXiv over 30 days as a proxy for research activity — not research quality or impact. Counts are shaped by venue norms, deadlines, and category boundaries as much as by underlying progress.
KNOWN LIMITATIONS
- Counts only arXiv submissions, not all AI research venues
- Some workshop papers and industry research bypass arXiv
- Category boundaries are author-declared and overlap
AI INSIGHT · POWERED BY DEEPSEEK
GENERATING…
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AI LENSES
EXPERIMENTAL
Experimental model-generated interpretation of this verified signal.
The value and Evidence Passport above are evidence-backed; AI lenses are interpretive and may be incomplete or wrong.
TREND · LAST 90 DAYS
METHODOLOGY
Count of papers submitted to arXiv across categories cs.AI, cs.LG, cs.CL, cs.CV, cs.NE, and stat.ML in the trailing 30-day window. Counts unique submissions only; cross-listed papers counted once.
SOURCE
arXiv API ↗
SIGNAL TYPE
RAW DATA · LAST 30 ENTRIES
DOWNLOAD JSON ↗
| DATE | VALUE | DELTA | TIMESTAMP (UTC) |
|---|---|---|---|
| Loading history… | |||
OTHER SIGNALS
NOTE ON AI ANALYSIS
AI-assisted perspectives are generated through external frontier model APIs. Provider identities may rotate. mohamed.tech performs synthesis, caching, and presentation.