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aientity · corroborated across sources

pwlr

for ML security engineers

Steady

20

signal score

as of 9d ago

1

live items

Too early

trajectory — needs a few more snapshots

arxiv

Why this scored 20

every term, weighted
Velocity+0.0 / 40 max

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

Acceleration+10.1 / 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+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

Composite20.1

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

Signal history

7-day window (free)
Not enough history yet — the trend line fills in as snapshots accrue (every 30 min).

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

    PWLR: Pairwise Witness Local Rejection for Boundary-Aware Out-of-Distribution Detection

    PWLR method enhances out-of-distribution detection with boundary-aware rejection. — for ML security engineers

    arxivaiSteady9d ago