Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #6081 · UNIT ID 1208510936
thunlp/OPD
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.000338
ENGAGEMENT0.20
FRESHNESS1.40
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
92% 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

Growth Telemetry

VELOCITY /D
8.30
ACCEL
-0.08
RETENTION
34.4%
PEAK 2026-05-11 · FORK-RETENTION 0.0% · 747 STARS / WINDOW

Author Audience

AUDIENCE
24,525
FOLLOWERS
3,422
OWNER ★
88,405

Engagement Signals

FORKS
55
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 747 / 747 (DIVERSITY 1.00)

Why This Is A Finding

thunlp/OPD собрал 747 звёзд за окно, тогда как у автора всего 3,422 подписчиков — эффективная аудитория ≈ 24,525. Это даёт surprise-индекс 0.000338 (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 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 5%
VELOCITY8.303.99+4.31ABOVE 74%
RETENTION34.4%17.1%+17.3 PPABOVE 84%
FORKS5590-34ABOVE 35%
SURPRISE0.000.01-0.01ABOVE 9%