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Signalcrest
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aientity · corroborated across sources

rlvr

for LLM researchers

Steady

19

signal score

2

live items

Steady

7-day est. ~23

arxiv

Why this scored 19

every term, weighted
Velocity+0.0 / 40 max

Its fastest-moving item, measured against the pace of its own source

Acceleration+11.1 / 25 max

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25 max

How many independent communities its own items come from

Recency+8.5 / 10 max

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty0.3 / 30 max

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite19.3

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Outlook

low confidence · estimate, not a guarantee

7-day

~23

range 035

14-day

~24

range 038

30-day

~24

range 044

Signal history

7-day window (free)

— — projected trajectory (estimate, not a guarantee)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 119

    Boosting LLM Exploration via Weak-Model Guidance in RLVR

    Boosts LLM exploration using weak-model guidance within RLVR framework. — for LLM researchers

    arxivaiSteady2d ago
  2. 219

    Consolidating RLVR Capabilities Across Domains: A Deep Dive into Fusion Paradigms

    Analyzes fusion paradigms to consolidate RLVR capabilities across domains. — for AI research leads

    arxivaiSteady2d ago