arXiv (All)
open access
TROVE: Adaptive Agent Skill Orchestration via Trace-Grounded Route Validation and Editing
Agents tend to optimize, select, or constrain execution structures before decisive runtime outcomes are observed. However, such pre-execution commitment creates an orchestration bottleneck: when intermediate evidence invalidates the pending continuation, agents must either execute stale steps or rep
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration#175230
- PackServe: SLO-Aware Request Scheduling for Agentic LLM Serving at Scale#1117936
- PackServe: SLO-Aware Request Scheduling for Agentic LLM Serving at Scale#1108733
- When Better Turns Do Not Make Better Agents: Diagnosing the Gap Between Next-Turn Metrics and Workflow Success#1035154
- AutoLoCo: Communication Efficient Distributed LLM Training via Adaptive Synchronization#1131863
Record · ID 971975
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive