Signalcrest
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aientity · corroborated across sources

dgm

for ai researchers, math devs

Steady

9

signal score

1

live items

Cooling

7-day est. ~2

arxiv

Why this scored 9

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+9.4 / 10 max

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

Saturation penalty0.1 / 30 max

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

Composite9.2

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

Outlook

low confidence · estimate, not a guarantee

7-day

~2

range 12

14-day

~0

range 00

30-day

~0

range 00

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. 19

    Global Convergence of DGM and PINN Algorithms for Solving Nonlinear PDEs

    DGM and PINN algorithms improved — for ai researchers, math devs

    arxivaiSteady2d ago