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Divergent Paths: Learning an Outcome-Predictive Representation of LLM Agent Trajectories
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers introduced Precog-RM, predicting LLM agent task success or failure from early trajectory embeddings at up to 0.95 AUROC.
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- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 15 October 2026
- Collected by OneBench
- 16 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2610.19614v1 Announce Type: cross Abstract: In this work, we reframe agentic trajectories as paths through a shared embedding space of actions and environmental observations. We…
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