Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought | Paper Citation Record

Observation 5f2714ba-aa65-425f-9068-55e3e6b627e1 · outbound

This paper cites Fault analysis and debugging of microservice systems: Industrial survey, benchmark system, and empirical study,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Fault analysis and debugging of microservice systems: Industrial survey, benchmark system, and empirical study,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.387141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 15a985a3-fcc7-45a7-a9d0-5127d23aa15b · outbound

This paper cites A survey of aiops in the era of large language models,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought A survey of aiops in the era of large language models,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.398201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c6bb3370-7cb9-47ad-9730-2bb8a6a4c2df · outbound

This paper cites Developing self-adaptive microservice systems: Challenges and directions,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Developing self-adaptive microservice systems: Challenges and directions,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.380584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 090c6850-2235-4393-aed0-fe35493fe4d1 · outbound

This paper cites Design, monitoring, and testing of microservices systems: The prac- titioners’ perspective,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Design, monitoring, and testing of microservices systems: The prac- titioners’ perspective,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.371564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2abf0024-1d54-4960-8eb1-1412a88fd54f · outbound

This paper cites Towards close-to-zero runtime collection overhead: Raft-based anomaly diagno- sis on system faults for distributed storage system,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Towards close-to-zero runtime collection overhead: Raft-based anomaly diagno- sis on system faults for distributed storage system,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.299707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9375ada9-e1a6-4373-b84a-25fc912e165a · outbound

This paper cites Time-tired compaction: An elastic compaction scheme for lsm-tree based time-series database,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Time-tired compaction: An elastic compaction scheme for lsm-tree based time-series database,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.286899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f9041c2-ee6d-4671-8caf-64366357bb84 · outbound

This paper cites Separation or not: On handing out-of-order time-series data in leveled lsm-tree.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Separation or not: On handing out-of-order time-series data in leveled lsm-tree

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.275448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0cc5ab93-357b-400e-91a9-36c7a8d366fb · outbound

This paper cites Multivariate log-based anomaly detection for distributed database,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Multivariate log-based anomaly detection for distributed database,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.283535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 117e0a53-6a1d-495c-9f8d-03f17956d8ee · outbound

This paper cites Reducing events to augment log-based anomaly detection models: An empirical study,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Reducing events to augment log-based anomaly detection models: An empirical study,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.271862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ebf69c37-8bba-4e62-b87d-d5441c287f45 · outbound

This paper cites Inter- dependent causal networks for root cause localization,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Inter- dependent causal networks for root cause localization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.313499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c0f98ca3-4a93-40c6-9f40-b5ea661d390e · outbound

This paper cites Failure diagnosis in microservice systems: A comprehensive survey and analysis.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Failure diagnosis in microservice systems: A comprehensive survey and analysis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.320462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d5deae46-a290-48ce-a143-077649ccc125 · outbound

This paper cites A survey on intelligent management of alerts and incidents in it services,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought A survey on intelligent management of alerts and incidents in it services,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.338415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4fe8a42-3a81-4ccf-b85b-5be6c93c9524 · outbound

This paper cites Interpretable failure localization for microservice systems based on graph autoencoder.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Interpretable failure localization for microservice systems based on graph autoencoder

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.575164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b8f0d9a0-bb8a-4265-90a9-7d8b341d52f1 · outbound

This paper cites Hemirca: Fine-grained root cause analysis for microservices with heterogeneous data sources,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Hemirca: Fine-grained root cause analysis for microservices with heterogeneous data sources,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.591508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef3d2872-a81e-4b07-ac28-897ebc559480 · outbound

This paper cites Microservice root cause analysis with limited observability through intervention recognition in the latent space,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Microservice root cause analysis with limited observability through intervention recognition in the latent space,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.595701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 565b4ea8-c9f0-4b9a-92f0-d5d6d0423cd0 · outbound

This paper cites Kgroot: A knowledge graph-enhanced method for root cause analysis,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Kgroot: A knowledge graph-enhanced method for root cause analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.432510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 04b79112-09f1-470c-aa73-4f069bf24554 · outbound

This paper cites Rcaeval: A bench- mark for root cause analysis of microservice systems with telemetry data,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Rcaeval: A bench- mark for root cause analysis of microservice systems with telemetry data,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.394571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc117c8f-8cd9-4a27-8f20-bff155051bb3 · outbound

This paper cites LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T20:05:04.469725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 07d5c8df-6680-4095-9acd-b15a5c75d559 · outbound

This paper cites Microscope: Pinpoint performance issues with causal graphs in micro-service environments,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Microscope: Pinpoint performance issues with causal graphs in micro-service environments,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.369085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12579117-c5b8-4194-b6a2-0d1b6792085d · outbound

This paper cites Causal inference-based root cause analysis for online service systems with intervention recognition,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Causal inference-based root cause analysis for online service systems with intervention recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.390257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0926accb-1186-4546-ac11-da210a3e7c71 · outbound

This paper cites Microrank: End-to-end latency issue localization with extended spectrum analysis in microservice environments.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Microrank: End-to-end latency issue localization with extended spectrum analysis in microservice environments

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.468310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 69fdc5fb-7e84-4e75-a95c-089297b8f718 · outbound

This paper cites Tracerank: Abnormal service local- ization with dis-aggregated end-to-end tracing data in cloud native systems,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Tracerank: Abnormal service local- ization with dis-aggregated end-to-end tracing data in cloud native systems,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.585108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c4e39a5d-79a4-4675-8394-f7b10acaf74d · outbound

This paper cites {CRISP}: Critical path analysis of{Large-Scale} microservice architectures,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought {CRISP}: Critical path analysis of{Large-Scale} microservice architectures,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.346886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 70741e02-4486-47e6-8e7a-722fa9d6977b · outbound

This paper cites Trace-based multi-dimensional root cause localization of performance issues in microservice systems,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Trace-based multi-dimensional root cause localization of performance issues in microservice systems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.353868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cfa76413-3e0c-420b-b021-838d74a5d809 · outbound

This paper cites Root cause analysis in microservice using neural granger causal discovery,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Root cause analysis in microservice using neural granger causal discovery,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.349821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a39e1d4-a1ec-4f06-8536-7c9b3904cc38 · outbound

This paper cites Nezha: Interpretable fine-grained root causes analysis for microservices on multi-modal observability data.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Nezha: Interpretable fine-grained root causes analysis for microservices on multi-modal observability data

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.332257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d4a4cf2-a867-4588-9b6f-a9c12796e4eb · outbound

This paper cites Seer: Leveraging big data to navigate the complexity of performance debugging in cloud microservices.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Seer: Leveraging big data to navigate the complexity of performance debugging in cloud microservices

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.324440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bdfd3431-f384-4661-a694-ef16b845bf94 · outbound

This paper cites Micromilts: Fault location for microservices based mutual information and lstm autoencoder,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Micromilts: Fault location for microservices based mutual information and lstm autoencoder,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.310499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cb614c61-d5b0-4edc-86b7-9a454476cd3f · outbound

This paper cites Modelcoder: A fault model based automatic root cause localization framework for microservice systems,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Modelcoder: A fault model based automatic root cause localization framework for microservice systems,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.305935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6ca5820-ba2b-4faf-82dd-125b66ea744a · outbound

This paper cites Tracediag: Adaptive, interpretable, and efficient root cause analysis on large-scale microservice systems,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Tracediag: Adaptive, interpretable, and efficient root cause analysis on large-scale microservice systems,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.278908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c77d9e16-f161-4feb-ac73-413e5a1779bd · outbound

This paper cites Root cause analysis for microservice systems via hierarchical reinforcement learning from human feedback,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Root cause analysis for microservice systems via hierarchical reinforcement learning from human feedback,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.289904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed23278e-326a-423b-8ca2-f627e3dd16a4 · outbound

This paper cites Trace-based intel- ligent fault diagnosis for microservices with deep learning,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Trace-based intel- ligent fault diagnosis for microservices with deep learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.294809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c33a7062-fdb2-435c-b1f4-543618635cee · outbound

This paper cites Grace: Interpretable root cause analysis by graph convolutional network for microservices,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Grace: Interpretable root cause analysis by graph convolutional network for microservices,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.303295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a845824-1756-4e81-8c7c-6773430115d3 · outbound

This paper cites Actionable and interpretable fault localization for recurring failures in online service systems,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Actionable and interpretable fault localization for recurring failures in online service systems,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.328357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c7bc708-e677-4605-a481-deff2a1521ef · outbound

This paper cites Eadro: An end- to-end troubleshooting framework for microservices on multi-source data.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Eadro: An end- to-end troubleshooting framework for microservices on multi-source data

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.360022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9b411121-8f0a-4680-8116-7352414c476f · outbound

This paper cites mabc: Multi-agent blockchain-inspired collaboration for root cause analysis in micro-services architecture.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought mabc: Multi-agent blockchain-inspired collaboration for root cause analysis in micro-services architecture

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.601242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 84db1d07-7645-4fd0-837b-8f86970de809 · outbound

This paper cites Rcagent: Cloud root cause analysis by autonomous agents with tool-augmented large language models,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Rcagent: Cloud root cause analysis by autonomous agents with tool-augmented large language models,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.473276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a7e41de-a6cf-4ca2-9303-38f936dc4514 · outbound

This paper cites Flow-of-action: Sop enhanced llm-based multi- agent system for root cause analysis.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Flow-of-action: Sop enhanced llm-based multi- agent system for root cause analysis

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.476896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c463b7b-32f2-4fd1-b8fc-2f378d1c6309 · outbound

This paper cites Coca: Generative root cause analysis for distributed systems with code knowledge,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Coca: Generative root cause analysis for distributed systems with code knowledge,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.455031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5079ca2-7765-44b2-b004-f29ca809fa7f · outbound

This paper cites Tamo: Fine-grained root cause analysis via tool-assisted llm agent with multi-modality observation data in cloud-native systems,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Tamo: Fine-grained root cause analysis via tool-assisted llm agent with multi-modality observation data in cloud-native systems,

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.472851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 30f5578d-7df1-4a1f-93c5-d12eac7c91be · outbound

This paper cites The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.476003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0822e447-bbde-4879-8a9a-6ec7b04f6575 · outbound

This paper cites Exploring LLM-based Agents for Root Cause Analysis.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Exploring LLM-based Agents for Root Cause Analysis

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T20:05:04.479467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c04449f-8b0e-4eb5-b9c9-ee81e9353960 · outbound

This paper cites Enhancing Cluster Resilience: LLM-agent Based Autonomous Intelligent Cluster Diagnosis System and Evaluation Framework.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Enhancing Cluster Resilience: LLM-agent Based Autonomous Intelligent Cluster Diagnosis System and Evaluation Framework

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.463112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5de0a3cc-13c1-4119-b30d-6e124b74678c · outbound

This paper cites Cloud Atlas: Efficient Fault Localization for Cloud Systems using Language Models and Causal Insight.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Cloud Atlas: Efficient Fault Localization for Cloud Systems using Language Models and Causal Insight

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.450302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc38165c-29d1-4b0b-8859-f6b95630b0e4 · outbound

This paper cites The potential of one-shot failure root cause analysis: Collaboration of the large language model and small classifier.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought The potential of one-shot failure root cause analysis: Collaboration of the large language model and small classifier

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.448900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 07f4119b-9b82-4574-b725-eba3e0216128 · outbound

This paper cites arXiv preprint arXiv:2504.18776 , year=.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought arXiv preprint arXiv:2504.18776 , year=

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T20:05:04.456250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 82f95d7b-edf4-4f74-bcaa-d26dfad60d9d · outbound

This paper cites Scalalog: Scalable log-based failure diagnosis using llm,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Scalalog: Scalable log-based failure diagnosis using llm,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.464738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6a40aa3-6dff-453f-9db2-6e9d04b32725 · outbound

This paper cites AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.460323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c330178-ad8f-42f1-8c6f-4a98641f1815 · outbound

This paper cites Automated root causing of cloud incidents using in-context learning with gpt-4.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Automated root causing of cloud incidents using in-context learning with gpt-4

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.418051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c82e9e43-ce0f-45c7-8022-bb0174163262 · outbound

This paper cites Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.440132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2619794-67be-406c-9b5b-198da94763cc · outbound

This paper cites Openrca: Can large language models locate the root cause of software failures?.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Openrca: Can large language models locate the root cause of software failures?

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.422448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b90b0ad4-8b30-421a-adba-1c3a100cc8b7 · outbound

This paper cites Lever- aging large language models for the auto-remediation of microservice applications: An experimental study,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Lever- aging large language models for the auto-remediation of microservice applications: An experimental study,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.426747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 427d1d23-8cc1-4159-89d2-97353a809318 · outbound

This paper cites AIOPS 2022 Championship,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought AIOPS 2022 Championship,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.436289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 36f2d352-7b2b-4344-b3c7-d00b10b11c67 · outbound

This paper cites Anomaly detection and failure root cause analysis in (micro) service-based cloud applications: A survey,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Anomaly detection and failure root cause analysis in (micro) service-based cloud applications: A survey,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.410555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0b643643-5fdc-46fc-b018-bc938651e39f · outbound

This paper cites Characterizing job microarchitectural profiles at scale: Dataset and analysis,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Characterizing job microarchitectural profiles at scale: Dataset and analysis,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.414699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6dfc45e4-c21d-4219-baa3-d91f60aa5f60 · outbound

This paper cites Capturing request execution path for understanding service behavior and detecting anomalies without code instrumentation,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Capturing request execution path for understanding service behavior and detecting anomalies without code instrumentation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.377019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 53fecd1f-1be3-4fe1-ab24-8cd6a0db434f · outbound

This paper cites Network-centric distributed tracing with deepflow: Troubleshooting your microservices in zero code,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Network-centric distributed tracing with deepflow: Troubleshooting your microservices in zero code,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.383382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 263f8a9c-d90f-4d6b-a504-3bc2866cf901 · outbound

This paper cites Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.443480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6b502b4-3ca7-439c-a9bb-9d74227c5fef · outbound

This paper cites Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.433146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c67f691-3788-4666-8097-f69856500575 · outbound

This paper cites GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.436181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba813519-7c43-43f2-a500-f7132b3c402f · outbound

This paper cites Tvdiag: A task-oriented and view-invariant failure diagnosis frame- work for microservice-based systems with multimodal data,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Tvdiag: A task-oriented and view-invariant failure diagnosis frame- work for microservice-based systems with multimodal data,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.403336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c73a1ad-4987-4179-9aff-6a4189c9f7f1 · outbound

This paper cites Causalrca: Causal inference based pre- cise fine-grained root cause localization for microservice applications.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Causalrca: Causal inference based pre- cise fine-grained root cause localization for microservice applications

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.363133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1b0b6fe7-a9fa-4927-b920-cd783eccb964 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Chain-of-thought prompting elicits reasoning in large language models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.366248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d9c20928-83e4-4e1a-8043-74d6f35f8c49 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Evaluating Large Language Models Trained on Code

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-06-30T20:05:04.447049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a6411c9-c83a-4340-9f3a-d23e0eb72465 · outbound

This paper cites Enjoy your observability: an industrial survey of microservice tracing and analysis,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Enjoy your observability: an industrial survey of microservice tracing and analysis,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.406750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27bc42fd-1091-4bb7-a49a-9fe7e34be23b · outbound

This paper cites Characterizing microservice dependency and performance: Alibaba trace analysis,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Characterizing microservice dependency and performance: Alibaba trace analysis,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.439544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16eddfcb-b3ce-4f17-801a-7ddab5035eb1 · outbound

This paper cites Ora: Job runtime prediction for high-performance computing platforms using the online retrieval-augmented language model,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Ora: Job runtime prediction for high-performance computing platforms using the online retrieval-augmented language model,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.459032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab74b98d-4d18-4eff-8043-ef86d6a5c65f · outbound

This paper cites Walk the talk: Is your log-based software reliability maintenance system really reliable?.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Walk the talk: Is your log-based software reliability maintenance system really reliable?

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.466682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5794839-1864-47eb-8b06-6867bee82a2f · outbound

This paper cites United we stand: Towards end-to-end log- based fault diagnosis via interactive multi-task learning.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought United we stand: Towards end-to-end log- based fault diagnosis via interactive multi-task learning

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.482968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b2d1cb70-6a95-48d0-954c-e2849f17498e · outbound

This paper cites Uda-rcl: Unsupervised domain adaptation for microservice root cause localization utilizing multimodal data,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Uda-rcl: Unsupervised domain adaptation for microservice root cause localization utilizing multimodal data,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.343477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6af6316d-d5ef-4773-b902-f1aeb27ca063 · outbound

This paper cites Aaad: Asynchronous inter-variable relationship-aware anomaly detection for multivariate time series,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Aaad: Asynchronous inter-variable relationship-aware anomaly detection for multivariate time series,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.316525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8c0f9108-fb13-4dbc-b8cf-ea4c5c397c06 · outbound

This paper cites Logaction: Consistent cross-system anomaly detection through logs via active domain adaptation,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Logaction: Consistent cross-system anomaly detection through logs via active domain adaptation,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.335778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bfea0466-1f98-4e86-91ee-fa39ba570b92 · outbound

This paper cites Coorlog: Efficient-generalizable log anomaly detection via adaptive coordinator in software evolution,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Coorlog: Efficient-generalizable log anomaly detection via adaptive coordinator in software evolution,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.481149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6a8b62bc-61d1-4bba-ac98-e041efc65277 · outbound

This paper cites Latent error prediction and fault localization for microservice applications by learning from system trace logs.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Latent error prediction and fault localization for microservice applications by learning from system trace logs

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.485027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d86a8604-ab50-475a-b40d-b1f58cc3ebe3 · outbound

This paper cites Unsupervised detection of microservice trace anomalies through service-level deep bayesian networks.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Unsupervised detection of microservice trace anomalies through service-level deep bayesian networks

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.489408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 17a024e3-7fdf-4d2f-a083-7d80f59d761c · outbound

This paper cites Sage: practical and scalable ml-driven performance debugging in microservices,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Sage: practical and scalable ml-driven performance debugging in microservices,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.570188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0775ea23-3140-4588-8f31-69df130051d8 · outbound

This paper cites Practical root cause localization for microservice systems via trace analysis.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Practical root cause localization for microservice systems via trace analysis

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.579211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 34abaef8-538f-46eb-921a-768e75eba2f7 · outbound

This paper cites Lag-llama: Towards foundation models for time series forecasting,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Lag-llama: Towards foundation models for time series forecasting,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.557132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65f0a245-bed5-4f32-a4ea-36f2246c2a23 · outbound

This paper cites Timer: generative pre-trained transformers are large time series models,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Timer: generative pre-trained transformers are large time series models,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.551799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 678a5436-aad4-4faa-9ba9-12d8964f860a · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought A decoder-only foundation model for time-series forecasting

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.543826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8fa86416-f31e-483a-aa93-d814b81fcef6 · outbound

This paper cites Shellgpt: Generative pre-trained transformer model for shell language under- standing,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Shellgpt: Generative pre-trained transformer model for shell language under- standing,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.541013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5350de15-3980-4dae-85ac-a80fd067747d · outbound

This paper cites AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.420289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7be3f514-967b-4890-b584-89ab8cd5d1b8 · outbound

This paper cites Unitime: A language-empowered unified model for cross-domain time series forecasting.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Unitime: A language-empowered unified model for cross-domain time series forecasting

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.547001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ef6ff95-63ad-48b4-9590-b5545bbd4117 · outbound

This paper cites OWL: A Large Language Model for IT Operations.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought OWL: A Large Language Model for IT Operations

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.424000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f8a44f3-26ee-4e85-9ab2-99accff9cfad · outbound

This paper cites LogLM: From Task-based to Instruction-based Automated Log Analysis.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought LogLM: From Task-based to Instruction-based Automated Log Analysis

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.414999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 35247d55-d471-4627-9274-cce98acbe548 · outbound

This paper cites Automatic root cause analysis via large language models for cloud incidents,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Automatic root cause analysis via large language models for cloud incidents,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.561149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce83c4eb-e636-435a-9cce-3af577d9233d · outbound

This paper cites Xpert: Empowering incident management with query recommendations via large language models,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Xpert: Empowering incident management with query recommendations via large language models,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.566302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a90e58c-d8ec-4ff5-89f3-f86001ef0768 · outbound

This paper cites Lm-pace: Confidence estimation by large language models for effective root causing of cloud incidents,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Lm-pace: Confidence estimation by large language models for effective root causing of cloud incidents,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.528706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f87fa2b-0894-45eb-965e-c788244ddf52 · outbound

This paper cites A holistic view of ai-driven network incident management,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought A holistic view of ai-driven network incident management,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.520773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a47f243-41c6-4e1a-add4-894106804873 · outbound

This paper cites Raglog: Log anomaly detection using retrieval augmented generation,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Raglog: Log anomaly detection using retrieval augmented generation,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.517908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12e2c310-8899-4939-92ef-f043dba4ae7f · outbound

This paper cites Lograg: Semi-supervised log-based anomaly detection with retrieval- augmented generation,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Lograg: Semi-supervised log-based anomaly detection with retrieval- augmented generation,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.524920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 949219a2-f6c0-4945-9da9-c150c3a792e4 · outbound

This paper cites Xraglog: A resource-efficient and context-aware log-based anomaly detection method using retrieval-augmented generation,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Xraglog: A resource-efficient and context-aware log-based anomaly detection method using retrieval-augmented generation,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.533374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a834e80f-efa3-431d-ac71-ba4924cedaf2 · outbound

This paper cites LogDB: Multivariate Log-based Failure Diagnosis for Distributed Databases (Extended from MultiLog).

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought LogDB: Multivariate Log-based Failure Diagnosis for Distributed Databases (Extended from MultiLog)

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.417815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d95263b7-aea9-4a69-811c-36e2af8cb9b4 · outbound

This paper cites Eagerlog: Active learning enhanced retrieval augmented generation for log-based anomaly detection,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Eagerlog: Active learning enhanced retrieval augmented generation for log-based anomaly detection,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.506958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c4e757f-4ba7-40e1-a323-399c83fb7b69 · outbound

This paper cites Weakly- supervised log-based anomaly detection with inexact labels via multi- instance learning,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Weakly- supervised log-based anomaly detection with inexact labels via multi- instance learning,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.503527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56af8345-6de0-4e8f-99b6-02f47c5ea6c4 · outbound

This paper cites Famos: Fault diagnosis for microservice systems through effective multi-modal data fusion,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Famos: Fault diagnosis for microservice systems through effective multi-modal data fusion,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.510199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c226efd6-9e8a-4314-8d26-284788aa304a · outbound

This paper cites Logcae: An approach for log-based anomaly detection with active learning and contrastive learning,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Logcae: An approach for log-based anomaly detection with active learning and contrastive learning,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.497487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4b265698-b84f-4226-a1b2-ff33dd9ab4d2 · outbound

This paper cites Llmelog: An approach for anomaly detection based on llm-enriched log events,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Llmelog: An approach for anomaly detection based on llm-enriched log events,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.492718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09dba05f-129e-4f23-9dff-168eb4ba41d4 · outbound

This paper cites Afalog: A general augmentation framework for log-based anomaly detection with active learning,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Afalog: A general augmentation framework for log-based anomaly detection with active learning,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.500429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf5ad0bd-14ab-4014-b0d9-a716b75e055d · outbound

This paper cites Aclog: An approach to detecting anomalies from system logs with active learning,.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Aclog: An approach to detecting anomalies from system logs with active learning,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T21:44:13.514793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers