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Race report documents EBTM implementation achieving efficient performance in endurance racing.
Race report from the 2026 Kaga Spa Trail Endurance 50K documenting the first EBTM (Equipped Boundary-Transcendence Methodology) forward-loading implementation. The subject completed the 55.37 km course with 2,607 m of elevation gain in 11:17:33, finishing 384th of 715 finishers from 821 starters, starting from Wave 3 (last wave). Key innovations: (1) Karasu-kun v3 event-driven geofence AI race support system with 100% checkpoint firing rate and 10.5-second average notification latency; (2) dual-transporter carbohydrate protocol (SGLT1+GLUT5) validated at race intensity; (3) zero caffeine intake with zero muscle cramps throughout the race; (4) average aid station dwell time of 51 seconds, contributing to an estimated 170 positional gains through efficient transitions. Co-authored by Karasu-kun (MiniMax-M3 / OpenClaw / Mac mini M4). Proofread by Claude (Anthropic). EBTM Case Study #2. Beyond_30h Project.
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Junji Yokoyama (2026) studied this question.
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