Agent Trajectory Analysis

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1 paper in the last four weeks, down 83% on the four weeks before. 0.0% of all new papers.

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Trajectory Abstraction for the Science of Language Agent Behavior
Oct 6, 2026Tianqiang YanAgent Trajectory Analysis Causal Abstraction
Faculty of Information Technology, Monash University
Where Scientific Search Agents Fail: Decision-Checkpoint Auditing of Exposure and Inspection Attempts
Sep 29, 2026Hongmin Li, Wanli ZhaoAI Agent Auditing Scientific QA
School of Life Science and Technology, Institute of Science Tokyo Tokyo, Japan · Department of Computational Biology and Medical Sciences Graduate School of Frontier Sciences, The University of Tokyo Kashiwa, Japan · Department of Information Science Graduate School of Advanced Science and Engineering, Hiroshima University Higashihiroshima, Japan
TrajMind: Chaining Role-Specialized LoRAs for Fast-and-Slow Collective Trajectory Anomaly Diagnosis
Sep 2, 2026Jiahao Wu, Zhenqun Yang, Chen Jason Zhang +1Anomaly Detection Agent Trajectory Analysis
The Hong Kong Polytechnic University · Hong Kong, China
Using Grounded Theory for Agent Behavior Analysis at Scale
Aug 31, 2026Zhuoran Lu, Yangyang Yu, Zhuoyan Li +5Agent Failure Analysis Agent Trajectory Analysis
1Purdue University · 2Stevens Institute of Technology · 3Cornell University +2
Last Step Matters: Early Uncertainty Cannot Predict Failure in Long-Horizon Agents
Aug 30, 2026Zongyue Li, Chengyue Yu, Lei Zang +3Deep Research Agents Long-Horizon Agent Evaluation
Zhejiang University · Ant Group
TraceML: What Auto-Research Agents Miss in Long-Horizon ML Development
Aug 26, 2026Jiarui Yan, Weiwei Sun, Sijie Li +2Long-Horizon Agent Evaluation AI Agent Benchmarks
Carnegie Mellon University
Beyond Retrieval: Query-Conditioned Reuse of Long-Horizon Agent Trajectories
Aug 13, 2026Yifei Li, Heng Wang, Lingling Zhang +5Agent Memory Long-Horizon Agent Evaluation
School of Computer Science and Technology, Xi’an Jiaotong University · MOE KLNN Lab, Xi’an Jiaotong University
TRACE: TRajectory Attribution for Automated Context Engineering
Aug 10, 2026Yikai Zhao, Pradeep Kumar Misra, Saurabh PandeyAgent Failure Analysis AI Agent Benchmarks
Amazon Dallas, TX, USA · Amazon Seattle, WA, USA
Long-Horizon Agent Trajectory Attribution: A Unified Benchmark and Fine-Grained Annotation Framework
Aug 7, 2026Jing Chen, Yang Sun, Li Zhang +2Long-Horizon Agent Evaluation AI Agent Benchmarks
Huawei Technologies Ltd.
TRAJDEBUG: Tracing Error Lifecycle to Identify Critical Failures in Long-Horizon Agent Trajectories
Aug 6, 2026Yunjia Qi, Zehua Yin, Xintong Shi +10Agent Failure Analysis Long-Horizon Agent Evaluation
Department of Computer Science and Technology, BNRist, Tsinghua University · Tencent Hunyuan · Shenzhen International Graduate School, Tsinghua University
A Unified Framework for Trajectory Prediction with Explicit Planning and Reaction Decomposition
Aug 6, 2026Jiaheng Chen, Jiaxing Li, Tinghe Zhang +1Pedestrian Trajectory Prediction Multi-Agent Trajectory Prediction
Software College, Northeastern University Shenyang, China
Pivot-Centric Trajectory Prediction: Bridging Long Horizons via Dynamical Guidance
Aug 4, 2026Xiucong Zhao, Jindong Tian, Hao MiaoMulti-Agent Trajectory Prediction Autonomous Driving
1Xi’an Jiaotong University · 2East China Normal University · 3Hong Kong Polytechnic University
SIPTraj: Map-Free End-to-End Trajectory Prediction via Physics-Guided Scene Interaction
Aug 1, 2026Feifei Liu, Zejun Wei, Haozhe Wang +6Multi-Agent Trajectory Prediction Autonomous Driving
School of Data Science and Engineering, Xingzhi College, South China Normal University, Shanwei, 516600, China · Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, China · University of Macau, Macau, China +2
AgentTrails: Towards Trust and Reuse for Agentic Tasks
Jul 21, 2026Eden Wu, Sonia Castelo, Yurong Liu +2Data Provenance Agent Trajectory Analysis
New York University
OTAP: Structure-Aware Optimal Transport for Evaluating Planning and Execution in Agent Trajectories
Jul 19, 2026Babak Barazandeh, Subhabrata Majumdar, George MichailidisLLM Agent Evaluation AI Agent Evaluation
Fortinet · IIMB · UCLA
GroundControl: Anticipating Navigation Failures in Vision-Language Agents via Trajectory-Consistent Uncertainty Estimates
Jun 18, 2026Nastaran Darabi, Divake Kumar, Sina Tayebati +2Uncertainty Estimation for VLA Models Selective Prediction
University of Illinois at Chicago (UIC)
Multi-Agent Transactive Memory
Jun 18, 2026To Eun Kim, Xuhong He, Dishank Jain +3LLM Agent Memory Agentic RAG
1Carnegie Mellon University · University of California, Berkeley
Offline Preference-Based Trajectory Evaluation
Jun 16, 2026Fernando DiazAI Agent Evaluation AI Agent Benchmarks
Carnegie Mellon University Pittsburgh, PA
Dissecting model behavior through agent trajectories
Jun 16, 2026Gaurav Gupta, Vatshank Chaturvedi, Jun Huan +1Software Engineering Agents LLM Agent Evaluation
AWS AI Labs
Agent trajectories as programs: fingerprinting and programming coding-agent behavior
Jun 15, 2026Hamidah OderinwaleAI Coding Agents AI Agent Evaluation
Work done with support from Taste Labs
TRACE: Trajectory Reasoning through Adaptive Cross-Step Evidence Aggregation for LLM Agents
Jun 5, 2026Vijitha Mittapalli, Shreyaa Jayant Dani, Satya Srujana Pilli +7Long-Horizon Agent Evaluation AI Agent Security
University of Massachusetts at Amherst · Adobe Research · Dolby Labs +2
TraceGraph: Shared Decision Landscapes for Diagnosing and Improving Agent Trajectories
May 29, 2026Junjie Nian, Kang Chen, Ge Zhang +2Agent Reliability Software Engineering Benchmarks
1Fudan University · 2ByteDance · 3Shanghai Innovation Institute
Redundant or Necessary? A Benchmark for Detecting Redundant Steps in Agent Trajectories
May 28, 2026Minyang Hu, Bo Yang, Zhinuo Zhou +4LLM Agent Evaluation Agent Trajectory Analysis
† Huawei Technologies, Noah Arks’ Lab · # Institute of Computing Technology, Chinese Academy of Sciences
How to Interpret Agent Behavior
May 13, 2026Jie Gao, Kaiser Sun, Jen-tse Huang +8Hierarchical Classification AI Agent Monitoring
1Johns Hopkins University · 2California Institute of Technology · 3Northeastern University +1
ECTraj: Enhanced Consistency Training for Multi-Agent Trajectory Prediction
May 9, 2026Alen Mrdovic, Qingze, Liu +6Trajectory Generation Multi-Agent Trajectory Prediction
Tony · Rutgers University, New Brunswick · The College of New Jersey
Chatting about Conditional Trajectory Prediction
Apr 20, 2026Yuxiang Zhao, Wei Huang, Haipeng Zeng +2Multi-Agent Trajectory Prediction Human Behavior Prediction
Sun Yat-sen University · Alibaba Group
HINTBench: Horizon-agent Intrinsic Non-attack Trajectory Benchmark
Apr 15, 2026Jiacheng Wang, Jinchang Hou, Fabian Wang +3AI Agent Auditing Long-Horizon Agent Evaluation
Baidu Inc., Beijing, China · Beijing Institute of Technology, Beijing, China
MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
Apr 11, 2026Wenchang Duan, Zhenguo Gao, Jinguo Xian +1Model Compression Multi-Agent Trajectory Prediction
School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai 200240, China · Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai 200030, China · Shanghai Key Laboratory of Psychotic Disorders, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200030, China
AgentRx: Diagnosing AI Agent Failures from Execution Trajectories
Feb 2, 2026Shraddha Barke, Arnav Goyal, Alind Khare +3Agent Failure Analysis AI Agent Reliability
1Microsoft Research · 2Microsoft · 3UIUC
Reverberation: Learning the Latencies Before Forecasting Trajectories
Nov 14, 2025Conghao Wong, Ziqian Zou, Beihao Xia +1Multi-Agent Trajectory Prediction Agent Trajectory Analysis
Huazhong University of Science and Technology, Wuhan 430074, Hubei, China

Oct 6, 2026, cs.AIJ/K move · Enter open · S save

Trajectory Abstraction for the Science of Language Agent Behavior

Tianqiang Yan

Faculty of Information Technology, Monash University

Agent Trajectory Analysis Causal Abstraction

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Scientific studies of language agents need behavioral variables that support hypotheses across tasks and models. We formulate this research problem as learning and testing a hierarchy of trajectory abstractions. A concrete recursive procedure first measures role- and phase-indexed events, proposes temporally constrained relations, and tests their stability across conditions. It then constructs episode-level motif variables from selected relations and repeats the analysis on those variables. Explicit measurement functions connect every abstraction level to the original trajectories. Observations and randomized protocol experiments assess the resulting hypotheses, while comparisons between intervention realizations determine whether an abstraction should be retained, refined, or restricted. We derive a finite-depth bound for accepted reductions, identify protocol effects on fixed abstractions, and characterize realization disagreement and composition of abstraction error. A finite-sample test makes projected intervention consistency operational, and constructed examples illustrate motif construction and abstraction refinement. The formulation distinguishes this experimental approach from semantic taxonomies, qualitative theory induction, and behavior-model recovery. It specifies a proposed research procedure for discovering generalizable behavioral hypotheses, with literature-relative novelty assessed separately from model-relative surprise.

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