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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:46.275865Z digest=sha256:d01d8318d0dada4c903a46929e7c1f06bcea0045ab76aee2b67268ef6cf7b5aa

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.

source=pdf_text observed=2026-08-06T11:21:46.338994Z digest=sha256:5562e5a15d1aa2ea8e8777be18766085fb8ba36ad57106d69e20091b44ebfb8a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:46.344194Z digest=sha256:af289fbbf1843059f9e350ba903fee263861dd5200e22ddb19267e6b7e0b435c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:46.350198Z digest=sha256:6e35fcd8dcb20533074276c731539e370a76bf0122b8d976d3448a85f5224712

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:46.356214Z digest=sha256:0c882b7d5f204250cc739dd6e65888fbb5f5a47fad51b6e5fc06ebe08d7a773c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:46.361689Z digest=sha256:f59fb5048f0737c1873159e5456b7824e30f6166743de935ef6b6f632524112e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:46.367618Z digest=sha256:40f5eff24d576d0328d256aa0af63306587c5d4642f7e284859e46bfa5c52bb5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:46.431669Z digest=sha256:1cb889d2b15e7030a4193a1f848915f77dbc698fb07f5cfecdbf2d4c6c0c99d4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:46.518021Z digest=sha256:bec4ee2debcc7f0aa988a798665448256d1b2fa5d0739518ae40b7f94c46b062

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:46.587577Z digest=sha256:960b28bb17971940f6555301f7cad103b383c23a08371b6ad975a613a52e09cd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:46.687305Z digest=sha256:5e52e1a958cdecbe3484114965bbe3290a0ead7a3c2ede30dca7f4a1030f6edb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:46.806293Z digest=sha256:d0ed17e3db30eb123466fc37f62819adaff780aaa0b5f5d104c82cd42a21225f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:46.917133Z digest=sha256:da4d23bbb177911969af4acef3a59f8278230b420869057bed53255e3ba233d6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:47.005385Z digest=sha256:0dffa55cde24bb3dda88af6f3fcbc13e45e2daece37940552a39ba4d1552ac26

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:47.046851Z digest=sha256:ec66838f6d94991311808ce53083d631f4f62da92a95e6076123a24359bc9d9a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:47.166077Z digest=sha256:fbb8e7bba390418719e347d7919bc7cda26bc905930407ea8cfa0aeab82a9c0d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:47.245609Z digest=sha256:9cf8027eefc9e097629613991cb8b87e4fe19817bae0d0342a635c64ba202d52

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:47.319967Z digest=sha256:d1f2ade5b10197ed62e121c477621421da10b72e9bcaac7c4b2afebedb7dc926

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:47.378293Z digest=sha256:4e98df45ea015fa38a73cb4c4725e77a40f601404d1373374d872107e6b81de4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:47.471271Z digest=sha256:882c4f74909f5387edc83df9851866d750404cdaa9a36f1b344e3f80c72b706e

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.

source=pdf_text observed=2026-08-06T11:21:47.540042Z digest=sha256:348499eea9354f7d048838a519c08105da216ea8a192596a7dfde312533bb225

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.

source=pdf_text observed=2026-08-06T11:21:47.635549Z digest=sha256:63386eb5e8cbcff066677d8ded45efb30d1a71c2f63242850402eb8b24b9954f

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.

source=pdf_text observed=2026-08-06T11:21:47.668319Z digest=sha256:4eadfa53b55d5d96ef614959ef9ee4f344ddc2aef52f2346c120fbc32b7682cb

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.

source=pdf_text observed=2026-08-06T11:21:47.774480Z digest=sha256:a5ce78a5f0da3c22a127e560040764bdee4b6134d48496fa6ee3c128fc36b7ee

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:47.837428Z digest=sha256:26738d8ac1eb1621e8835f697c84911a42f46ea1a1f0d1f6f86bcb57f5c705e4

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.

source=pdf_text observed=2026-08-06T11:21:47.931130Z digest=sha256:0a52f353f0bf2c9d783124a71da7946a7ad06335119bf32603e7f2c2723c0f75

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:47.982098Z digest=sha256:558f2f4e83d9789bc4fc645c142b14268e9d7f5515ba5e8a37636fe44cdd882a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:48.049448Z digest=sha256:a16acc67ce2fcb09f4b2d961e82664c6d786d47916b542181be9721662253701

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.

source=pdf_text observed=2026-08-06T11:21:48.137238Z digest=sha256:50108f1bb6b6d557fce7d8ffb439b81c3ad636a052b4a4bcc8a42f927a4857b4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:48.207244Z digest=sha256:52910429c236e44eb86e211b9679b8c7b55296c6fd75a4834877c3631fa7d9b2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:48.298383Z digest=sha256:e2507681c6aa1cf2831de003953e43fda5cff469fc30422b1e990d8688da7301

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:48.347103Z digest=sha256:82513875d12e8fa94c62d3bdea51eb86778fe45bd6f26f95ebd1f1d84f412e64

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:48.456484Z digest=sha256:27a68f5d97259adf96b73624d041718233ed3ba07e53f8aacd09b0f493ed21fc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:48.548205Z digest=sha256:5753fd248cd88f7b233e3fd60caf4ca583fd4b4a7077d05f4d1407b8734ee8e0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:48.612077Z digest=sha256:1c0260c0e5bb97cd8eec9304da0359b5d8d564a4cfa3d00fe4f414e54730cdac

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:48.723794Z digest=sha256:e4bd108728c9a0beec0678822b0b9a092bedc70d280ecde5d86f97c35dd57dbf

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.

source=pdf_text observed=2026-08-06T11:21:48.772481Z digest=sha256:9a0ecf71e70a4181e2775dff945d12adb7b8df932413821c626f2afa48a9f08b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:48.891039Z digest=sha256:87103eba6f4c747971226f242d996afc1a8cc7ce774114381576d2eb62e255a1

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.

source=pdf_text observed=2026-08-06T11:21:49.026560Z digest=sha256:37bcb8f8157594fc5a1555e18c7070bf79ae77f0295ff9e1994b2e9d529ea5b7

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.

source=pdf_text observed=2026-08-06T11:21:49.086565Z digest=sha256:683c213dbd12442ee41941b7fd14f193787e928782d71a888406354520bfcd86

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.

source=pdf_text observed=2026-08-06T11:21:49.119968Z digest=sha256:d2b1d2b3345ccda420d7b6992782b26ae42d7e579cd45250e5d01b21c3e5827c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:21:49.168810Z digest=sha256:cbefd9bd1956e0edeca45097640e34a00fe91331458dddd37428c1ad9752e38d

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.

source=pdf_text observed=2026-08-06T11:21:49.204216Z digest=sha256:44eee99b6f49b757ab357ed0414283b612587c4c82d05a72a239eeff13569688

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T06:27:23.580445Z digest=sha256:b87801986b107b86e69466205f0d5c98eaa28d029c97fc595003c0bf920a1648

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T21:07:01.601808Z digest=sha256:080060bdc2101e529c4816912285cde5aea282c87cfe6d88644283d0b81b8bb2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T20:04:34.841056Z digest=sha256:9f2ed0402654208345c15711261413efd35c96ab1064f76766e531b73dbe2a75