FINDING #1424 · UNIT ID 851138183
huhusmang/Awesome-LLMs-for-Vulnerability-Detection
The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers across function-level, repository-level, agentic, and smart-contract detection, plus datasets, benchmarks, and surveys.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
4% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
7.57
ACCEL
-0.36
RETENTION
35.9%
PEAK 2026-08-24 · FORK-RETENTION 33.3% · 53 STARS / WINDOW
Author Audience
AUDIENCE
358
FOLLOWERS
98
OWNER ★
2,603
Engagement Signals
FORKS
126
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 53 / 53 (DIVERSITY 1.00)
Why This Is A Finding
huhusmang/Awesome-LLMs-for-Vulnerability-Detection собрал 53 звёзд за окно, тогда как у автора всего 98 подписчиков — эффективная аудитория ≈ 358. Это даёт surprise-индекс 0.019 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 33.3% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.
Related Findings
RANKS ABOVE 85% OF 9760 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9760 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 85%
VELOCITY7.573.71+3.86ABOVE 72%
RETENTION35.9%38.0%-2.1 PPABOVE 47%
FORKS12686+40ABOVE 59%
SURPRISE0.020.01+0.01ABOVE 67%