SPIN Unprocessed October 16, 2026 ai_technology research
DeepUnfolding_Agent: A Classical_Quantum Adaptive Control API
View original on arxiv.orgOverview
arXiv:2610.20615v1 Announce Type: new Abstract: Adaptive optimization workflows in machine learning, federated learning, quantum machine learning, and hybrid classical quantum systems often embed controller logic directly inside task specific training scripts. This coupling limits reuse, reproducibility, safety validation, and fair comparison across execution environments. This paper presents DeepUnfolding Agent, a schema-driven FastAPI platform that exposes deep unfolded adaptive control as an
SpinGraph analysis pending — check back after processing.
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
More from arXiv Computation and Language
View all →- Prune the Summary, Not the History: Source-Judged Compaction for Long-Horizon Agents
- Does Morphological Correctness Matter for Tokenization? A Scrambled Control Study in Tagalog
- PEDBench: Can Speech Models Detect Phonetic Errors?
- CoTranslator: Reverse to Forward Chain-of-Thought Translator for Reasoning Distillation
- Wolof-Adapted Industry-Ready Open-Weight Language Models
- PRISM: Transfer and Limits of Activation Interventions in Tool-Calling Language Models
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO