Github Trends®
1013 findingsmedian surprise 0.0334window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #850 · UNIT ID 1250235788
kepengxu/PRISM-VL
PRISM-VL studies measurement-grounded VLM learning with RAW-derived Meas.-XYZ inputs, camera-conditioned grounding, and exposure-bracketed supervision transfer.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.061
ENGAGEMENT0.0695
FRESHNESS1.30
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
58% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT
S10 · S10

Growth Telemetry

VELOCITY /D
18.83
ACCEL
+0.08
RETENTION
0.0%
PEAK 2026-07-14 · FORK-RETENTION 0.0% · 565 STARS / WINDOW

Author Audience

AUDIENCE
269
FOLLOWERS
37
OWNER ★
2,319

Engagement Signals

FORKS
17
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 565 / 565 (DIVERSITY 1.00)

Why This Is A Finding

kepengxu/PRISM-VL собрал 565 звёзд за окно, тогда как у автора всего 37 подписчиков — эффективная аудитория ≈ 269. Это даёт surprise-индекс 0.061 (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 1013 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 16%
VELOCITY18.837.20+11.63ABOVE 70%
RETENTION0.0%30.8%-30.8 PPABOVE 0%
FORKS1756-39ABOVE 28%
SURPRISE0.060.03+0.03ABOVE 70%