Github Trends®
9789 findingsmedian surprise 0.00728window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #8637 · UNIT ID 1363412300
tue09/awesome-reasoning-generalization
Awesome paper list for reasoning generalization in LLMs.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0283
ENGAGEMENT0.11
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
8% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
S9 · CREATED JUST BEFORE WINDOW, STARS INVISIBLE IN ARCHIVE

Growth Telemetry

VELOCITY /D
1.71
ACCEL
+1.00
RETENTION
50.0%
PEAK 2026-09-11 · FORK-RETENTION 0.0% · 12 STARS / WINDOW

Author Audience

AUDIENCE
21
FOLLOWERS
6
OWNER ★
146

Engagement Signals

FORKS
4
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 12 / 12 (DIVERSITY 1.00)

Why This Is A Finding

tue09/awesome-reasoning-generalization собрал 12 звёзд за окно, тогда как у автора всего 6 подписчиков — эффективная аудитория ≈ 21. Это даёт surprise-индекс 0.0283 (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 9789 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 12%
VELOCITY1.713.43-1.71ABOVE 13%
RETENTION50.0%37.5%+12.5 PPABOVE 66%
FORKS4120-116ABOVE 4%
SURPRISE0.030.01+0.02ABOVE 81%