Cover Image

PORCA: Root Cause Analysis with Partially Observed Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gong, Chang, Yao, Di, Wang, Jin, Li, Wenbin, Fang, Lanting, Xie, Yongtao, Feng, Kaiyu, Han, Peng, Bi, Jingping
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models
by: Liu, Shuo, et al.
Published: (2024)

GTool: Graph Enhanced Tool Planning with Large Language Model
by: Chen, Wenjie, et al.
Published: (2025)

Effective and Efficient Representation Learning for Flight Trajectories
by: Liu, Shuo, et al.
Published: (2024)

CausalMMM: Learning Causal Structure for Marketing Mix Modeling
by: Gong, Chang, et al.
Published: (2024)

On the Fly Detection of Root Causes from Observed Data with Application to IT Systems
by: Zan, Lei, et al.
Published: (2024)

Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
by: Liu, Shuo, et al.
Published: (2025)

Root Cause Analysis In Microservice Using Neural Granger Causal Discovery
by: Lin, Cheng-Ming, et al.
Published: (2024)

A Goal-Driven Survey on Root Cause Analysis
by: Fang, Aoyang, et al.
Published: (2025)

Automated Root Cause Analysis System for Complex Data Products
by: Demarne, Mathieu, et al.
Published: (2024)

SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs
by: Fang, Lanting, et al.
Published: (2024)

Explainable AI for Correct Root Cause Analysis of Product Quality in Injection Moulding
by: Muaz, Muhammad, et al.
Published: (2025)

Root-KGD: A Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial Data
by: Chen, Jiyu, et al.
Published: (2024)

ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis
by: Xuan, Phi Nguyen, et al.
Published: (2026)

Learning DAGs from Data with Few Root Causes
by: Misiakos, Panagiotis, et al.
Published: (2023)

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought
by: Zhang, Lingzhe, et al.
Published: (2026)

LLM-Augmented Knowledge Base Construction For Root Cause Analysis
by: Tran, Nguyen Phuc, et al.
Published: (2026)

DK-Root: A Joint Data-and-Knowledge-Driven Framework for Root Cause Analysis of QoE Degradations in Mobile Networks
by: Li, Qizhe, et al.
Published: (2025)

SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice
by: Ren, Rui, et al.
Published: (2024)

Root Cause Analysis Method Based on Large Language Models with Residual Connection Structures
by: Zhou, Liming, et al.
Published: (2026)

Towards LLM-based Root Cause Analysis of Hardware Design Failures
by: Qiu, Siyu, et al.
Published: (2025)

Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism
by: Zhang, Lingzhe, et al.
Published: (2026)

Automating Quantum Software Maintenance: Flakiness Detection and Root Cause Analysis
by: Sivaloganathan, Janakan, et al.
Published: (2024)

Partially Observed Structural Causal Models
by: Orujlu, Turan, et al.
Published: (2026)

KGroot: Enhancing Root Cause Analysis through Knowledge Graphs and Graph Convolutional Neural Networks
by: Wang, Tingting, et al.
Published: (2024)

PRAXIS: Integrating Program Analysis with Observability for Root-Cause Analysis
by: Cui, Shengkun, et al.
Published: (2025)

Scaling Causal Mediation for Complex Systems: A Framework for Root Cause Analysis
by: Casadei, Alessandro, et al.
Published: (2025)

TAMO: Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data in Cloud-Native Systems
by: Zhang, Xiao, et al.
Published: (2025)

GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?
by: Tian, Yifang, et al.
Published: (2025)

Bridging Temporal and Textual Modalities: A Multimodal Framework for Automated Cloud Failure Root Cause Analysis
by: Park, Gijun
Published: (2026)

MicroRCA-Agent: Microservice Root Cause Analysis Method Based on Large Language Model Agents
by: Tang, Pan, et al.
Published: (2025)

Automating Detection and Root-Cause Analysis of Flaky Tests in Quantum Software
by: Sivaloganathan, Janakan, et al.
Published: (2026)

Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks
by: Sana, Mohamed, et al.
Published: (2025)

TopoEvo: A Topology-Aware Self-Evolving Multi-Agent Framework for Root Cause Analysis in Microservices
by: Wang, Junle, et al.
Published: (2026)

ProRCA: A Causal Python Package for Actionable Root Cause Analysis in Real-world Business Scenarios
by: Dawoud, Ahmed, et al.
Published: (2025)

Root Causing Prediction Anomalies Using Explainable AI
by: Vishnampet, Ramanathan, et al.
Published: (2024)

Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM
by: Xiang, Yong, et al.
Published: (2025)

FVDebug: An LLM-Driven Debugging Assistant for Automated Root Cause Analysis of Formal Verification Failures
by: Bai, Yunsheng, et al.
Published: (2025)

LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis
by: Zheng, Lecheng, et al.
Published: (2024)

Why Do AI Agents Systematically Fail at Cloud Root Cause Analysis?
by: Kim, Taeyoon, et al.
Published: (2026)

A Theoretical Framework for Partially Observed Reward-States in RLHF
by: Kausik, Chinmaya, et al.
Published: (2024)