FINDING #8138 · UNIT ID 1197459059
SII-FUSC/AME_Locomotion
This repository reproduces the Attention-Based Map Encoding (AME) method from the paper Attention-Based Map Encoding for Learning Generalized Legged Locomotion.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
7% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S6 · OWNER HAS ALMOST NO FOLLOWERS DESPITE 100+ STARS
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING
Growth Telemetry
VELOCITY /D
3.29
ACCEL
+0.18
RETENTION
50.0%
PEAK 2026-09-22 · FORK-RETENTION 0.0% · 23 STARS / WINDOW
Author Audience
AUDIENCE
31
FOLLOWERS
0
OWNER ★
314
Engagement Signals
FORKS
38
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 23 / 23 (DIVERSITY 1.00)
Why This Is A Finding
SII-FUSC/AME_Locomotion собрал 23 звёзд за окно, тогда как у автора всего 0 подписчиков — эффективная аудитория ≈ 31. Это даёт surprise-индекс 0.046 (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.
Related Findings
RANKS ABOVE 17% OF 9770 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9770 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 17%
VELOCITY3.293.57-0.29ABOVE 45%
RETENTION50.0%40.0%+10.0 PPABOVE 64%
FORKS3892-54ABOVE 30%
SURPRISE0.050.01+0.04ABOVE 85%