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6295 findingsmedian surprise 0.0121window 30 days
UNIT / TREND-MONITOR · REV 2.6
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SOURCE: gharchive
FINDING #2348 · UNIT ID 885743839
leofan90/Awesome-World-Models
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related websites.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0145
ENGAGEMENT0.14
FRESHNESS1.36
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
6% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.63
ACCEL
-0.08
RETENTION
31.9%
PEAK 2026-06-30 · FORK-RETENTION 0.0% · 109 STARS / WINDOW

Author Audience

AUDIENCE
211
FOLLOWERS
21
OWNER ★
1,896

Engagement Signals

FORKS
65
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 109 / 109 (DIVERSITY 1.00)

Why This Is A Finding

leofan90/Awesome-World-Models собрал 109 звёзд за окно, тогда как у автора всего 21 подписчиков — эффективная аудитория ≈ 211. Это даёт surprise-индекс 0.0145 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 63%
VELOCITY3.634.23-0.60ABOVE 44%
RETENTION31.9%29.4%+2.4 PPABOVE 55%
FORKS6592-27ABOVE 40%
SURPRISE0.010.01+0.00ABOVE 55%