Paper Citation Record · LEDGER

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach

As of 14 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2507.22800.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.22800 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:21:49.204216Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T20:04:34.841056Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T20:05:04.474227Z

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy30
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9329d5c9-1e04-47c4-b737-f92447543860 · outbound

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

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Seer: Leveraging big data to navigate the complexity of performance debugging in cloud microservices,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.834882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d72affd1-6ee0-43a4-9f7d-deaae4457c27 · outbound

This paper cites An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:46.338994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f919b769-a1a3-43bb-820b-a647bafe3302 · outbound

This paper cites µ suite: a benchmark suite for microservices,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach µ suite: a benchmark suite for microservices,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.819736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0b5c3c0f-a525-4a14-949d-e655b8f22ca5 · outbound

This paper cites Graph-based root cause analysis for service-oriented and microservice architectures,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Graph-based root cause analysis for service-oriented and microservice architectures,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.803342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8eded91a-c0df-4712-81e7-c4e9242d6a70 · outbound

This paper cites Beyer, C.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Beyer, C

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.787102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5867a364-3efc-4984-b457-23f853a21e2f · outbound

This paper cites Boosting coverage-based fault localization via graph-based representation learning,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Boosting coverage-based fault localization via graph-based representation learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.771865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bb1cd222-584e-40e2-ac9c-70dbbaccef2d · outbound

This paper cites Fault localization via efficient probabilistic modeling of program semantics,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Fault localization via efficient probabilistic modeling of program semantics,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.757105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f5dd9d11-bcc4-457f-b55e-eb284e48bc3e · outbound

This paper cites Micro- diag: Fine-grained performance diagnosis for microservice systems,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Micro- diag: Fine-grained performance diagnosis for microservice systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.741504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 91927748-2c3e-467b-b5ba-4e2a10ee3e4a · outbound

This paper cites Rex: Preventing bugs and misconfiguration in large services using correlated change analysis,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Rex: Preventing bugs and misconfiguration in large services using correlated change analysis,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.724351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 651c588b-cb92-4f2c-acb7-3d7e3e188dbb · outbound

This paper cites Rapid detection of maintenance induced changes in service performance,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Rapid detection of maintenance induced changes in service performance,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.708098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c7735f9b-e08a-430f-ad6f-b13e88a1bc3f · outbound

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

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach The potential of one-shot failure root cause analysis: Collaboration of the large language model and small classifier,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.692404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6e17ba2e-e502-434f-918b-8b6913f20884 · outbound

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

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Automated root causing of cloud incidents using in-context learning with gpt-4,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.676592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b95202c8-fe61-45b4-be22-e0aecf1386dd · outbound

This paper cites Exploring llm-based agents for root cause analysis,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Exploring llm-based agents for root cause analysis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.660609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5cbb2f0d-7d0d-4837-8fc9-1e5d79e24e8e · outbound

This paper cites Llexus: an ai agent system for incident management,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Llexus: an ai agent system for incident management,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.573089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b814b36d-0342-43f2-883b-2958d2b7423b · outbound

This paper cites Llmparser: An exploratory study on using large language models for log parsing,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Llmparser: An exploratory study on using large language models for log parsing,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.362885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0070bc02-721a-4c60-b459-d283cc5558b6 · outbound

This paper cites Prometheus,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Prometheus,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:52.144536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 93a75ffb-c1af-4658-a19c-b1ea5fff3377 · outbound

This paper cites Elasticsearch,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Elasticsearch,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:51.890387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 49ea21da-3108-44a3-af89-77a8e4cb880d · outbound

This paper cites Jaeger: open source, end-to-end distributed tracing.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Jaeger: open source, end-to-end distributed tracing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:51.744479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9ebd4331-fdf4-4af6-9012-0ad83b037151 · outbound

This paper cites High-quality, ubiquitous, and portable telemetry to enable effective observability.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach High-quality, ubiquitous, and portable telemetry to enable effective observability

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:51.626991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6c86371e-9121-488a-b736-5b3dbfe23672 · outbound

This paper cites Monitorassistant: Simplifying cloud service monitoring via large language models,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Monitorassistant: Simplifying cloud service monitoring via large language models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:51.451924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cab8752c-d0f3-4a63-a9f4-9454b37f2eb5 · outbound

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

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Automatic root cause analysis via large language models for cloud incidents,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:47.540042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4c5f5fc-fc30-4c93-8b43-801d59750c74 · outbound

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

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Rcagent: Cloud root cause analysis by autonomous agents with tool-augmented large language models,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:47.635549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6e58147-10c5-47de-8305-f70f57e82566 · outbound

This paper cites mABC: multi-Agent Blockchain-Inspired Collaboration for root cause analysis in micro-services architecture.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach mABC: multi-Agent Blockchain-Inspired Collaboration for root cause analysis in micro-services architecture

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:47.668319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3639fbdc-93c1-4117-b017-1074dcc8df17 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach ReAct: Synergizing Reasoning and Acting in Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:47.774480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf07b3b0-2f05-4af0-8810-e26ad8948ebf · outbound

This paper cites Assess and summarize: Improve outage understanding with large language models,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Assess and summarize: Improve outage understanding with large language models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:51.281728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e67b47b4-8034-4a85-9cc8-5e5bab066442 · outbound

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

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Xpert: Empowering incident management with query recommendations via large language models,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:47.931130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db696093-6819-421f-b062-9d9e3f144475 · outbound

This paper cites Drain: An online log parsing approach with fixed depth tree,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Drain: An online log parsing approach with fixed depth tree,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:51.108918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8beb05e0-b190-4b52-9628-80e337be8ad4 · outbound

This paper cites Aiops 2022 championship,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Aiops 2022 championship,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:50.996216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 97169480-2b23-431f-b598-750e7df48e89 · outbound

This paper cites Gaussian mixture models.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Gaussian mixture models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:48.137238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 142a0bed-f365-4721-aee0-692b21cbe0cf · outbound

This paper cites Inverse document frequency (idf): A measure of deviations from poisson,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Inverse document frequency (idf): A measure of deviations from poisson,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:50.815130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aa895bdd-eb9b-4662-a75c-a3c06b2ae400 · outbound

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

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Fault analysis and debugging of microservice systems: Industrial survey, benchmark system, and empirical study,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:50.659752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 15118564-c493-46b3-8eb8-8e0c4fc5bef6 · outbound

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

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Actionable and interpretable fault localization for recurring failures in online service systems,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:50.516737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9e1c8b20-1269-4e79-a64f-1244813008a8 · outbound

This paper cites Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:21:49.426047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 94cf87cf-374b-444b-ad50-0ef19ccb315c · outbound

This paper cites Slim: a scalable light- weight root cause analysis for imbalanced data in microservice,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Slim: a scalable light- weight root cause analysis for imbalanced data in microservice,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:50.388985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 14b76217-0335-4212-99b8-a1a98a99ccc9 · outbound

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

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Practical root cause localization for microservice systems via trace analysis,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:50.243261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 86a8134a-4e9d-4f11-a452-fa3541b764a2 · outbound

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

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Microrank: End-to-end latency issue localization with extended spectrum analysis in microservice environments,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:50.110914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c9c8d262-57cd-4245-b0e2-15fd57290f27 · outbound

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

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Chain-of-thought prompting elicits reasoning in large language models,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:48.772481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 640920b5-f43e-46c3-9e35-50c625825f65 · outbound

This paper cites Adaptive mixtures of local experts,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Adaptive mixtures of local experts,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:49.959911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0fa836f8-6a78-4bbe-95d8-69d8d3b34146 · outbound

This paper cites Qwen2.5 Technical Report.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Qwen2.5 Technical Report

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:49.026560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9618a222-5e54-4b60-9326-c2faa1748580 · outbound

This paper cites The Llama 3 Herd of Models.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach The Llama 3 Herd of Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:49.086565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb8147f1-a833-47c0-a632-a9efeeb75dac · outbound

This paper cites GPT-4 Technical Report.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach GPT-4 Technical Report

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:49.119968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1621e60a-36ea-460c-accd-0dbe5eb1c74d · outbound

This paper cites Qwen max,.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach Qwen max,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:21:49.839181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6fdd3b99-27cd-4cfc-a3bd-17a174bfbba9 · outbound

This paper cites DeepSeek-V3 Technical Report.

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach DeepSeek-V3 Technical Report

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T11:21:49.204216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 80f95c36-1045-4cd7-a842-0eadfb1a8e04 · inbound

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda cites this paper.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.794647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation afbc4721-1e2d-453f-aa37-cdf891293a31 · inbound

SiriusHelper: An LLM Agent-Based Operations Assistant for Big Data Platforms cites this paper.

SiriusHelper: An LLM Agent-Based Operations Assistant for Big Data Platforms The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:46:24.916425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought cites this paper.

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 2026-08-13T06:32:02.005865+00:00.