EDGE: Error Dependency Graph-Guided Multi-Error Attribution in Multi-Agent LLM Systems
cs.AI
Submitted: 2026-09-01
Updated: 2026-09-01
Code: https://github.com/JuneHou/EDGE
Terminology
Sources
- Where Did It All Go Wrong? A Hierarchical Look into Multi-Agent Error Attribution
- AgentRx: Diagnosing AI Agent Failures from Execution Trajectories
- Toward Temporal Causal Representation Learning with Tensor Decomposition
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- TRAIL: Trace Reasoning and Agentic Issue Localization
- Interpretable Clustering with Adaptive Heterogeneous Causal Structure Learning in Mixed Observational Data
- Automatic Failure Attribution and Critical Step Prediction Method for Multi-Agent Systems Based on Causal Inference
- Your Autoregressive Model Already Reveals the Causal Graph
- gpt-oss-120b & gpt-oss-20b Model Card
- GPT-4o System Card
- OpenAI GPT-5 System Card
- Gemma 3 Technical Report
- QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
- From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems
- Abduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent Systems
- Where LLM Agents Fail and How They can Learn From Failures
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