arXiv (All)
open access
Rare Event Estimation via Iterative Unalignment
As agents are deployed with increased autonomy, even extremely rare events along their stochastic output trajectories can occur and prove catastrophic. Safe deployment therefore does not depend on whether these events can occur, but on how often they might. We study the problem of estimating the pro
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
- Rare Event Estimation via Iterative Unalignment#1028681
- Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning#668034
- Introduction to Impossible Probability, Statistics of Probability or Probabilistic Statistics. VOL 10#87242
- Risk-Constrained Belief-Space Optimization for Safe Control under Latent Uncertainty#996892
- Chance-Constrained Belief-Space Maneuver Planning for Autonomous Collision Avoidance Under Uncertainty#1071216
Record · ID 1051363
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