Signalcrest
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aientity · corroborated across sources

latent world models

for ai researchers

Steady

10

signal score

as of 2d ago

1

live items

Too early

trajectory — needs a few more snapshots

arxiv

Why this scored 10

every term, weighted
Velocity+0.0 / 40 max

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

Acceleration+0.0 / 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+10.0 / 10 max

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

Saturation penalty0.0 / 30 max

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

Composite10.0

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. Full methodology

Signal history

7-day window (free)

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. 110

    What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations

    Physical parameter identifiability — for ai researchers

    arxivaiSteady2d ago