Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports | Paper Citation Record

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Swe-bench: Can language models resolve real- world github issues?

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Swe-agent: Agent-computer interfaces enable automated software engineering,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Webarena: A realistic web environment for building autonomous agents,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports An empirical study of the non-determinism of chatgpt in code generation,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports When Agents Fail: A Comprehensive Study of Bugs in LLM Agents with Automated Labeling

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports An empirical study of bugs in modern LLM agent frameworks,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Characterizing Faults in Agentic AI: A Taxonomy of Types, Symptoms, and Root Causes

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Understanding Bugs in Modern Agentic Frameworks: A Study of Symptoms, Root Causes, and Triggering Conditions

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Agentbench: Evaluating llms as agents,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports GAIA: a benchmark for general AI assistants,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports ToolScan: A Benchmark for Characterizing Errors in Tool-Use LLMs

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Toolllm: Facilitating large language models to master 16000+ real-world apis,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Reducing tool hallucination via reliability alignment,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Instruction-Following Evaluation for Large Language Models

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Instruction-following evaluation in function calling for large language models,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Lost in the middle: How language models use long contexts,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports The oracle problem in software testing: A survey,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Silent bugs in deep learning frameworks: an empirical study of keras and tensorflow,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports An empirical analysis of flaky tests,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Large language models for software engineer- ing: A systematic literature review,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Evaluating Large Language Models Trained on Code

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports When LLMs Meet API Documentation: Can Retrieval Augmentation Aid Code Generation Just as It Helps Developers?

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Can emulating semantic translation help llms with code translation? A study based on pseudocode,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports An empirical evaluation of using large language models for automated unit test generation,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports The rise and potential of large language model based agents: a survey,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports React: Synergizing reasoning and acting in language models,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Agent harness for large language model agents: A survey,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports OpenAI Codex, issue #5957,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports OpenAI Codex, issue #6562,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports LangChain, issue #1358,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Gemini CLI, issue #13292,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports CrewAI, issue #668,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Gemini CLI, issue #5629,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports OpenAI Codex, issue #4337,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports OpenAI Codex, issue #13491,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Gemini CLI, issue #3037,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports CrewAI, issue #3154,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Gemini CLI, issue #7223,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports CrewAI, issue #3843,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports OpenAI Codex, issue #5807,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports OpenAI Codex, issue #10828,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Gemini CLI, issue #533,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports LangChain, issue #12077,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports LangChain, issue #5163,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports LangChain, issue #11408,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Gemini CLI, issue #1484,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports LangChain, issue #34910,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Automated structural testing of llm-based agents: Methods, framework, and case studies,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Language models are few-shot learners,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Training language models to follow instructions with human feedback,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Chain-of-thought prompting elicits reasoning in large language models,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Metagpt: Meta programming for A multi-agent collaborative framework,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Chatdev: Communicative agents for software development,

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Hidden technical debt in machine learning systems,

Reference 57

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Software engineering for machine learning: a case study,

Reference 58

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Observation d0a47fa4-d32f-4cde-bfd6-166cabc8b631 · outbound

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports A comprehensive study on deep learning bug characteristics,

Reference 59

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Taxonomy of real faults in deep learning systems,

Reference 60

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Deepxplore: Automated whitebox testing of deep learning systems,

Reference 61

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries,

Reference 62

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Beyond accuracy: Behavioral testing of NLP models with checklist,

Reference 63

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Truthfulqa: Measuring how models mimic human falsehoods,

Reference 64

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This paper cites Factscore: Fine-grained atomic eval- uation of factual precision in long form text generation,.

Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Factscore: Fine-grained atomic eval- uation of factual precision in long form text generation,

Reference 65

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Observation 66f26dbc-e122-4a46-9cc8-873fc18c84f2 · outbound

This paper cites Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models,.

Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models,

Reference 66

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Halueval: A large- scale hallucination evaluation benchmark for large language models,

Reference 67

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Observation 04b65dcb-04dd-47d5-bb67-100e88d3820d · outbound

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports On faithfulness and factuality in abstractive summarization,

Reference 68

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Observation 51c25f90-9b1b-45f7-a561-fffd34b5c9c5 · outbound

This paper cites What makes a good bug report?.

Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports What makes a good bug report?

Reference 69

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Who should fix this bug?

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-01T22:37:14.774960Z

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This paper cites It’s not a bug, it’s a feature: how misclassification impacts bug prediction,.

Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports It’s not a bug, it’s a feature: how misclassification impacts bug prediction,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T22:37:14.882936Z

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Observation 3600bc5b-c534-4398-9843-101d8d8fdc09 · outbound

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Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports Unresolved cited work

Reference 2024

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