FINDING #5426 · UNIT ID 860912552
OpenSPG/KAG
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
3.43
ACCEL
-0.14
RETENTION
50.0%
PEAK 2026-10-14 · FORK-RETENTION 0.0% · 24 STARS / WINDOW
Author Audience
AUDIENCE
2,987
FOLLOWERS
339
OWNER ★
11,546
Engagement Signals
FORKS
723
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 24 / 24 (DIVERSITY 1.00)
Why This Is A Finding
OpenSPG/KAG собрал 24 звёзд за окно, тогда как у автора всего 339 подписчиков — эффективная аудитория ≈ 2,987. Это даёт surprise-индекс 0.00113 (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 33% OF 8058 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 8058 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 33%
VELOCITY3.433.14+0.29ABOVE 53%
RETENTION50.0%22.2%+27.8 PPABOVE 80%
FORKS723260+463ABOVE 69%
SURPRISE0.000.00-0.00ABOVE 32%