FINDING #5869 · UNIT ID 1096155917
HUST-SLOW/MuSc-V2
[TPAMI2026] MuSc-V2: Zero-Shot Multimodal Industrial Anomaly Classification and Segmentation with Mutual Scoring of Unlabeled Samples. Paper is avaliable at https://arxiv.org/abs/2511.10047
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
90% 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
2.60
ACCEL
-0.01
RETENTION
36.9%
PEAK 2026-07-09 · FORK-RETENTION 0.0% · 234 STARS / WINDOW
Author Audience
AUDIENCE
246
FOLLOWERS
58
OWNER ★
652
Engagement Signals
FORKS
1
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 234 / 234 (DIVERSITY 1.00)
Why This Is A Finding
HUST-SLOW/MuSc-V2 собрал 234 звёзд за окно, тогда как у автора всего 58 подписчиков — эффективная аудитория ≈ 246. Это даёт surprise-индекс 0.00908 (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.
Related Findings
RANKS ABOVE 8% OF 6380 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 8%
VELOCITY2.603.99-1.39ABOVE 31%
RETENTION36.9%17.1%+19.8 PPABOVE 86%
FORKS190-88ABOVE 1%
SURPRISE0.010.01-0.00ABOVE 43%