Skip to content
Signalcrest
Back to entity feed
aientity · one source so far

lion

for graph learning researchers

Steadyarxiv
Signal score
19
as of 61d ago
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 19

every term, weighted
Velocity+0.0 / 40

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

Acceleration+10.0 / 25

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

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+9.3 / 10

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

Saturation penalty−0.1 / 30

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

Composite19.2

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, 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. 1
    20

    The Lion, The Witch, and the audacity of recruiters

    lobstersSteady114d ago
  2. 2
    19

    LION: A Clifford Neural Paradigm for Multimodal-Attributed Graph Learning

    LION introduces a Clifford neural paradigm for multimodal graph learning. · for graph learning researchers

    arxivSteadyai62d ago