Home/Blog/Autonomous Agent Orchestration On Android — Field NotesAI & MLAutonomous Agent Orchestration On Android — Field Notesdev.to AI2026-10-22 08:200 views[llm-offline] HTTP Error 403: Forbidden Disclosure: links above support independent tooling development. 👉 FractalMesh Sovereign Deployment Bundle — $19 AUDSource:https://dev.to/sam_hiotis_117598dbfa3ac2/autonomous-agent-orchestration-on-android-field-notes-10pjMy favoritesPreviousDigiD Went Dark on Purpose. Logius took DigiD, MijnOverheid, and Overheid.nl offline on 21 October. It was a precaution, not a confirmed intrusion.NextAI Phone Screening: What It Is and When to Use ItRelated postsSharp Non-Asymptotic Analysis of the Penalized Challenger in $\beta$-EB-TCI for Bernoulli BanditsarXiv:2610.01951v2 Announce Type: replace-cross Abstract: Top-two algorithms are simple and effective for fixed-confiden0arXiv stat.MLToward Optimal Switching Regret for Multi-Armed Bandits with Oblivious AdversaryarXiv:2609.13547v2 Announce Type: replace-cross Abstract: We study switching regret in adversarial multi-armed bandits, 0arXiv stat.MLSpectral Condition for $\mu$P under Width-Depth ScalingarXiv:2603.00541v3 Announce Type: replace-cross Abstract: Generative foundation models are increasingly scaled in both w0arXiv stat.MLA Function-Space Stability Boundary for Generalization in Interpolating Learning SystemsarXiv:2602.03514v3 Announce Type: replace-cross Abstract: Modern learning systems often interpolate training data while 0arXiv stat.MLWho Gets Watched? Allocating Scarce Escalation Resources on Pediatric Wards with Neural Index PoliciesarXiv:2510.22069v2 Announce Type: replace-cross Abstract: Problem definition: Hospitals use separate pathways to identif0arXiv stat.MLMinimax Alternating Regret for the Experts Problem and Online Convex OptimizationarXiv:2608.25182v2 Announce Type: replace Abstract: In this paper, we study alternating regret in online convex optimiza0arXiv stat.ML