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6892 findingsmedian surprise 0.0109window 7 days
UNIT / TREND-MONITOR · REV 2.6
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SOURCE: gharchive
FINDING #6117 · UNIT ID 1157468068
MilkClouds/awesome-vla-study
A structured reading list on Vision-Language-Action (VLA) models — from diffusion/flow matching foundations through state-of-the-art robot foundation model architectures to data scaling, RL fine-tuning, and world models. Papers in reading order.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0119
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
4% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S10 · S10

Growth Telemetry

VELOCITY /D
1.86
ACCEL
+0.14
RETENTION
50.0%
PEAK 2026-07-13 · FORK-RETENTION 0.0% · 13 STARS / WINDOW

Author Audience

AUDIENCE
116
FOLLOWERS
72
OWNER ★
438

Engagement Signals

FORKS
23
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 13 / 13 (DIVERSITY 1.00)

Why This Is A Finding

MilkClouds/awesome-vla-study собрал 13 звёзд за окно, тогда как у автора всего 72 подписчиков — эффективная аудитория ≈ 116. Это даёт surprise-индекс 0.0119 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6892 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 11%
VELOCITY1.864.14-2.29ABOVE 16%
RETENTION50.0%40.6%+9.4 PPABOVE 60%
FORKS2389-66ABOVE 19%
SURPRISE0.010.01+0.00ABOVE 52%