Interface-Induced Trajectory Censoring

arXiv:2609.03966 · cs.AI, cs.LG · Submitted 2026-09-03 · Read on arXiv

cs.AI, cs.LG

Submitted: 2026-09-03

Updated: 2026-09-03

Code: https://github.com/nebula-1999/Interface-Induced-Trajectory-Censoring

Terminology

• Benchmark — 14× in this paper · explained in 2 episodes
• Provenance — 10× in this paper · explained in 4 episodes
• GRPO — 6× in this paper · explained in 6 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Verifier — 3× in this paper · explained in 2 episodes
• Action Space — 2× in this paper · explained in 1 episode
• Failure Modes — 2× in this paper · explained in 3 episodes
• In International Conference on Learning Representations — 2× in this paper
• Reward Function — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Admissibility — 1× in this paper · explained in 2 episodes
• Agentic AI — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Empirical Methods in Natural Language Processing — 1× in this paper
• In International Conference on Machine Learning — 1× in this paper
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes

Sources

• Beyond the Leaderboard: A Synthesis of Tool-Use, Planning, and Reasoning Failures in Large Language Model Agents
• $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
• Benchmarking the Benchmarks: A Validity Audit of Tool-Calling Evaluation
• The Benchmark Lottery
• When the Ruler is Broken: Parsing-Induced Suppression in LLM-Based Security Log Evaluation
• Model or Harness? An Interaction-Centric Taxonomy for Localizing Agent Failures
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• ToolFailBench: Diagnosing Tool-Use Failures in LLM Agents
• Efficient Guided Generation for Large Language Models

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