Kaga Spa Trail Endurance 50K 2026: An EBTM Forward-Loading Case Report
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.
Authors
- Junji Yokoyama
Institutions
- Universidad de Zamora (MX)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-22
- DOI
- https://doi.org/10.5281/zenodo.21482516
- Primary Topic
- Sports Performance and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00