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Paper Citation Record · LEDGER

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices

As of 6 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 4 inbound Pith citation observations for arXiv:2510.24145.

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

pith.paper-citation-record.v1
2510.24145 v3

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T03:41:50.348012Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:18:42.680931Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-14T21:49:29.222820Z

Reference resolution

58 of 58 outbound references displayed

  • verified exact5
  • verified fuzzy52
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b3872474-8941-4ced-ba13-c3d3932bf5ca · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Openrca: Can large language models locate the root cause of software failures?

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.368533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:a7de900d23c905307f1824ae2d88a66d6a61cd2be462484393e6327a4c7f2509

Observation 5fa818a9-2ee5-4e5d-9c01-ff67f44cd0a0 · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Automatic root cause analysis via large language models for cloud incidents

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.380054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:23aa71944de822307774d85e62f19f21c6c3033e4dcf299d4a41f98b7f2e2419

Observation cca3bb2c-f6ee-49fc-a19b-a947bc81fd17 · outbound

This paper cites Art: A unified unsupervised framework for incident management in mi- croservice systems.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Art: A unified unsupervised framework for incident management in mi- croservice systems

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.366003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:cd0a2bc1fb49d3604838687a59857797541b546d86314b736e9fd434fd2ad567

Observation 7270943a-b54e-415c-be49-c509d8fb5a14 · outbound

This paper cites Incident report of google cloud outage.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Incident report of google cloud outage

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.327296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:e0d1405334cdddec98352fa50868e96be4c90f4e34ab7c1983fcf7ef4d6faf2d

Observation 4c3bd014-3c80-4740-a22f-3968c78073d6 · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Failure diagnosis in microservice systems: A comprehensive survey and analysis

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.330384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:303229a0083e5460c0fce76ab6cd758eb739b9e550d96a8ad8c0087d54a4aa2f

Observation aeab4bf3-422f-47fb-ae56-6e64740d49d9 · outbound

This paper cites Automap: Diagnose your microservice-based web applications automatically.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Automap: Diagnose your microservice-based web applications automatically

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.400332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:0677fadbbe309fa677d79aa9a96e649e1bfa9339fa8e5972ca7a058a4be21827

Observation 84558b57-8531-4d1a-aca3-173a09cf0bc1 · outbound

This paper cites Localizing failure root causes in a microservice through causality inference.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Localizing failure root causes in a microservice through causality inference

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.384841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:c598d18a1233185ba162aa3442d5ca4a4a013856c110048a0e35aaac14325a12

Observation 699cb937-a0db-4ec4-9f08-eb35aeb7ec12 · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Eadro: An end- to-end troubleshooting framework for microservices on multi-source data

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.412379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:ce93738ab6b70ba5a0dfa46051658c7b812517edf5570d8e754cb89ac73f3d32

Observation 70871471-b287-40ad-8d20-964d9a041eea · outbound

This paper cites Giving every modality a voice in microservice failure diagnosis via multimodal adaptive optimization.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Giving every modality a voice in microservice failure diagnosis via multimodal adaptive optimization

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.363518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:9689cefbf49d4ed48c3e3f8e485fc0949bc1ec14d0d4c62887ea0cd92989e7de

Observation 77074fa4-f978-4e3c-b8d7-a58290d280d8 · outbound

This paper cites Mulan: multi-modal causal structure learning and root cause analysis for microservice systems.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Mulan: multi-modal causal structure learning and root cause analysis for microservice systems

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.356120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:890f269a6e8a19d5d47cf192189749e21a43416aa5ef214447289a53ec4d38dd

Observation 4386d976-3e01-4712-aede-44b88c284ee9 · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Nezha: Interpretable fine-grained root causes analysis for microservices on multi-modal observability data

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.448327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:1aa5d4ec86e33e9d9b173d1c628c8ea000cc239cecbfec67eee09bc4ef6a16d9

Observation 027acf6e-8c47-4d36-b224-719f83645e9c · outbound

This paper cites Robust failure diagnosis of microservice system through multimodal data.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Robust failure diagnosis of microservice system through multimodal data

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.346123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:1f329009cc645770c369cebb20d6c931ace052144137dcc9cf873020909019dd

Observation 6a6990d0-beee-41f7-a1e1-87b15b016d14 · outbound

This paper cites Recommending root-cause and mitigation steps for cloud incidents using large language models.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Recommending root-cause and mitigation steps for cloud incidents using large language models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.442808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:d3878df4fc8636be426bf0644f557b3f4a8b722ff81519f4d4864b7816e78a34

Observation b51b8ee6-c9e5-4de1-b5f1-6f7ab874f5be · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Automated root causing of cloud incidents using in-context learning with gpt-4

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.453888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:4c956eaf1329fdcd50b5b025a626d216cfa8e7252ee6ef1a9ac6eae57417a5ba

Observation d99506d3-0434-46c0-a4e1-20b913730d74 · outbound

This paper cites Large language models can provide accurate and interpretable incident triage.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Large language models can provide accurate and interpretable incident triage

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.340005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:efd8beee9103a1dc4a914b0ada773c9dfe9aa859c800c631100956b9aa0eaf1b

Observation 355cda86-7715-4bbd-a896-61be41321120 · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices The potential of one-shot failure root cause analysis: Collaboration of the large language model and small classifier

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.333780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:9db5dce33065961184abe9c25062295b98edbaf741a2a0107e9a0feac93a19db

Observation 7d757218-6a93-4821-8f4f-095d7f1dff86 · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices mabc: Multi-agent blockchain-inspired collaboration for root cause analysis in micro-services architecture

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.428021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:0b2f39a75cf10200014d16626962fd1815b9023a484a2ad7cd96cdc27ba07f06

Observation 0c5814e5-d2f4-4256-a898-7a965706df63 · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Interpretable failure localization for microservice systems based on graph autoencoder

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.422867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:33f5f7ffb34f239bb70c00b53ed375f7950bc41d059eaef075ffed4ad41a05c1

Observation ee6d6a98-5597-4084-8bad-19d8120c0c9b · outbound

This paper cites Mapcoder: Multi-agent code generation for competitive problem solving.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Mapcoder: Multi-agent code generation for competitive problem solving

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.451095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:ad4ecd5438e22121730173ebfc1fadf909cc8a038f7efc2313393752ec6a6d31

Observation 5b1cdaa3-58af-41c3-8e56-6bfdc135d1a9 · outbound

This paper cites Codes: Natural language to code repository via multi-layer sketch.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Codes: Natural language to code repository via multi-layer sketch

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.457274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:00e2ac436c89c4079c2a30f9f4b02a5462d5244086160c1173d2d7de70024042

Observation 503d0714-15dd-486a-8b0d-9abf9605834e · outbound

This paper cites A pair programming framework for code generation via multi-plan exploration and feedback- driven refinement.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices A pair programming framework for code generation via multi-plan exploration and feedback- driven refinement

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.348749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:f68d13dfd51dca8be3e7d4ceae0ebc9213611e880697dee4eceae267263ce240

Observation 1deb4842-d0ec-4dec-8191-c1b90be6a263 · outbound

This paper cites Axnav: Replaying accessibility tests from natural language.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Axnav: Replaying accessibility tests from natural language

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.337277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:9809da4a7d578b36fbdd877cf91ef3e2d6c8cd69432d33d01d985c10aea7f8bc

Observation 28a158dc-4447-4f28-8cfe-cab2f3b4024f · outbound

This paper cites Large language model-powered smart contract vulnerability detection: New perspec- 11 tives.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Large language model-powered smart contract vulnerability detection: New perspec- 11 tives

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.321187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:72e56a433e1abb9c552f03c2c9b83836fd1f2849f92c666f4cab9ca069f37855

Observation fc532855-0120-4ea6-b071-5238e8a38c3a · outbound

This paper cites MARE: Multi-Agents Collaboration Framework for Requirements Engineering.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices MARE: Multi-Agents Collaboration Framework for Requirements Engineering

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T03:42:22.588499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:ea84d884cc577915a5360a4dea5fe23611045fddf8c36c34a969ef5e75f43e3d

Observation 99cbe01a-c256-4bda-a700-25b50517060b · outbound

This paper cites Elicitron: A large language model agent-based simulation framework for design requirements elicitation.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Elicitron: A large language model agent-based simulation framework for design requirements elicitation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.324047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:8cf5d6269b378c21c1260e7336beb98487d2838d5a0e68f0fea15614e017ad4e

Observation bd860baf-7bb8-42a7-a0ea-ceb01e23d052 · outbound

This paper cites D-bot: Database diagnosis system using large language models.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices D-bot: Database diagnosis system using large language models

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.432664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:11dccff013013b207ea3e5a5b9ee023bfb01524e179bc17bd5a089a83bdc1b79

Observation d159eb19-2fa9-47d2-b80a-599283f78530 · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Flow-of-action: Sop enhanced llm-based multi- agent system for root cause analysis

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.430292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:b701b2fd746ccf85e01c13c25dc8d9a880f54dbede722daddc88e3fdbf09a92a

Observation 62139b90-4c11-4164-96cd-1481f85f053d · outbound

This paper cites Microservices: yesterday, today, and tomor- row.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Microservices: yesterday, today, and tomor- row

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.440600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:d742bd57e9cc8914980505d06b9dbc89c55de8248793aa9a91587a51cef4ffb1

Observation 3bff133c-9786-4317-b28c-9278441bdb8e · outbound

This paper cites Proximal Policy Optimization Algorithms.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Proximal Policy Optimization Algorithms

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-18T03:42:22.604482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:1161e1108d78add13e568e15e1c730df546059252c15f5014ddf1a7f90fd3dbc

Observation b37b93ae-d22f-4e29-89ce-266afd73ec06 · outbound

This paper cites GPT-4 Technical Report.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices GPT-4 Technical Report

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-18T03:42:22.596885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:efa6ba15ce03c77509598cc410bfc505a121005c2a3c835a145b6e73119e4f41

Observation 328e7b73-cec7-43d4-ace9-13bc62653c85 · outbound

This paper cites Retrieval-augmented generation for large language models: A survey.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Retrieval-augmented generation for large language models: A survey

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.435456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:678caa34433487350741ba0e3f18b80bc2146145f8a059959dd49a4e48dd3ccb

Observation 29bfcbe8-24b9-44da-8e07-d74df0935da5 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-18T03:42:22.584890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:16cdece80abbc073857bd7055109d80a438fb22281299189a235fcea49a071ea

Observation 55fc5ae9-58f3-4cf4-900e-7c151bcf86d1 · outbound

This paper cites Memorag: Boosting long context processing with global memory- enhanced retrieval augmentation.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Memorag: Boosting long context processing with global memory- enhanced retrieval augmentation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.420468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:05e61857fa898ba642d5f0d344315048e798e099eb9cde737253880b799b1eb8

Observation 64043b0d-f599-484c-9d40-907852aee391 · outbound

This paper cites Hy- bridrag: Integrating knowledge graphs and vector retrieval augmented generation for efficient information extraction.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Hy- bridrag: Integrating knowledge graphs and vector retrieval augmented generation for efficient information extraction

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.414959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:c5a5e7d8805b3c31b6d1822fc141b790b7b20d30a3e5af090e12fecbb5399601

Observation 8c6bf66b-5393-49d5-a6d7-6557507877eb · outbound

This paper cites Identifying root-cause metrics for incident diagnosis in online service systems.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Identifying root-cause metrics for incident diagnosis in online service systems

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.417969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:1628b4ed7f09a26d3c8ff81f173cfb6d727d70078511f8b16052d49ed33a9080

Observation e3fb93cc-4e80-476f-b227-b747b755e005 · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Drain: An online log parsing approach with fixed depth tree

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.342717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:ac05c3444475bc2507033d361f6ead8462a49101611c37cc49603af76ecdf353

Observation b7bbf474-2ed9-4a86-b951-0f48835f6c86 · outbound

This paper cites Term-weighting approaches in automatic text retrieval.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Term-weighting approaches in automatic text retrieval

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.445175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:5f5f36288fa6ec8bb36484d926d6926a6980d1a381339e8eda6f36050d9463c2

Observation 457daabf-800c-4c17-bc7d-ea6a1e9e1cbc · outbound

This paper cites Trioxpert: An automated incident management framework for microservice system.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Trioxpert: An automated incident management framework for microservice system

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:42:22.593518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:f97d7f6b00744198ed0ad68ed56a53669af191c458bf0771801e6aa973ef6aa0

Observation 66b0d900-3e42-424a-8225-23c225fc7555 · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Chain-of-thought prompting elicits reasoning in large language models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.425666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:9781481ed5cf833a0ac04f19a487695853da8714ff88f6221a56398b769e4c74

Observation 4ad2a787-b4e1-4408-a280-54fc49896b66 · outbound

This paper cites Sre book, chapter 9: Incident response.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Sre book, chapter 9: Incident response

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.405696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:07b3a043cd528bf6d59fbe8817c35ad89b643099e4f101304494e6eeb4a0419b

Observation 866e3155-f6b3-4bdc-b840-49d13b925e91 · outbound

This paper cites G-eval: Nlg evaluation using gpt-4 with better human alignment.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices G-eval: Nlg evaluation using gpt-4 with better human alignment

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.403095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:1b9f0ba2f16c047a664bc434e2a953f134ec17aa0b0efce5ded6cc2cf776b729

Observation aa46c9e4-3dbd-4e7f-a9f7-d29ba44b5c44 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-18T03:42:22.600575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:a690ee49e4487c17993239dbc602c85c35dbf4ca4eb5a49d7631678c554c75a9

Observation 777e4193-378f-4d39-9817-9d03a24e5f69 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Retrieval- augmented generation for knowledge-intensive nlp tasks

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.397201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:ece115b4938ea6ccbe799b19d056c02591c5e599e1f14fda811117ff18ecfa49

Observation ccfa142c-a928-4543-aafa-aa1ec323e0ba · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Exploring llm-based agents for root cause analysis

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.377722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:e571261077778ccf4e1bd1f1a8cbf9cf466762955cf93af99f13e638ddc2d8bd

Observation 2d780973-fdd1-42b2-bb03-221135e6323a · outbound

This paper cites Reflex- ion: Language agents with verbal reinforcement learning.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Reflex- ion: Language agents with verbal reinforcement learning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.438069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:2bfac85c785f02e7d94317967b3c127863d7659314a1fb8d66c76a0af0da82b3

Observation 356b06b4-5bfc-4198-9166-436defc09d28 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices React: Synergizing reasoning and acting in language models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.351388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:4e63b538265027c4ed3199aea47c7e4bb343a6e45cd5eef8ffd8e5d33ae65597

Observation 32b1c742-f1b8-4039-b0e2-98b1209b1a09 · outbound

This paper cites Incremental causal graph learning for online root cause analysis.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Incremental causal graph learning for online root cause analysis

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.375504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:bc31c3b6ea2fe9e2013c77995b0d0787ad5952aa3fb341cc8975f8688a8cb55d

Observation 99296248-1d0c-403e-be5b-16ce0f1f47bc · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Actionable and interpretable fault localization for recurring failures in online service systems

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.353578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:6d547daf23cdbd1b9769601a4f8a3e57bef6df4cd34628df164fac23fd8fbab8

Observation ee9f5459-ca5e-45b9-9663-04d97a232b32 · outbound

This paper cites Cloudranger: Root cause identification for cloud native systems.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Cloudranger: Root cause identification for cloud native systems

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.382548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:b80915484b7ca64cb795a2b218715e543792503037d4e59e29c19fd67a6a08da

Observation 489c93fb-9b9a-4be5-81cb-204c92265df4 · outbound

This paper cites Ms-rank: Multi-metric and self- adaptive root cause diagnosis for microservice applications.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Ms-rank: Multi-metric and self- adaptive root cause diagnosis for microservice applications

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.373164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:b12d18b5274490e811859f25ad31d36c079cb57d91cf09ad0477f08816dc9092

Observation a1640a5c-c91b-4e97-92a1-871e39150740 · outbound

This paper cites Swisslog: Robust anomaly detection and localization for interleaved unstructured logs.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Swisslog: Robust anomaly detection and localization for interleaved unstructured logs

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.360860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:bde851d1cd12f7de968b28bb68293dfe803691389cfcb805c60fd33007763435

Observation 697888db-a5d7-417b-9e30-2c12524ac1c8 · outbound

This paper cites Logkg: Log failure diagnosis through knowledge graph.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Logkg: Log failure diagnosis through knowledge graph

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.358335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:b7346a6c4bdb273c549c180091e3fc2c5bea952ab79d57859972d6f55da63202

Observation 9743476a-3224-487a-9254-03e5409e390a · outbound

This paper cites Logm: Log analysis for multiple components of hadoop platform.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Logm: Log analysis for multiple components of hadoop platform

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.389741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:4a0002d495f57dbaac924f66d195ad4c5c6fe02d286e31579d41825938ab20c8

Observation ef7f4f7f-8286-44b4-a281-a76f39e8f3cd · outbound

This paper cites Onion: identifying incident-indicating logs for cloud systems.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Onion: identifying incident-indicating logs for cloud systems

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.370910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:51dca7e349e09cb78d5e6f9bef58fbd41d6c8be889da30d189e241d9b31c656a

Observation 30637869-779c-4a75-b960-9a5879b341e9 · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Latent error prediction and fault localization for microservice applications by learning from system trace logs

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.392034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:9b9f69114014f48b004afd434a756533b9a5124074982b611468314ccf0afab1

Observation 21f0c612-de6d-4630-a57c-e16b5d871388 · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Tracerank: Abnormal service localization with dis-aggregated end-to-end tracing data in cloud native systems

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.387223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:79d660e3f0e2cdcdccb524b93b65602d2d77fae905a06c1b20645bd48a592015

Observation 303b8200-bffa-4583-b6dc-31e98e7b2a3b · outbound

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

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Practical root cause localization for microservice systems via trace analysis

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.409304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:0a2b5f44ff64889c15738dc17c4350f2570adefbc0f12196d2f8979bdb647de0

Observation 775ad7a6-e772-4aec-af63-d9944e78a61b · outbound

This paper cites Tracenet: Operation aware root cause localization of microservice system anomalies.

OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices Tracenet: Operation aware root cause localization of microservice system anomalies

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T03:42:23.394611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:41:50.348012Z digest=sha256:035477839fc0c77ec4f200d58263dec77cac7b8d3d98d89559ba69756af3c3b0

Pith citing papers

Observation ae694ec9-1259-4900-8502-ed5ff3fb062f · inbound

Position: agentic AI orchestration should be Bayes-consistent cites this paper.

Position: agentic AI orchestration should be Bayes-consistent OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:48:13.602326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T19:28:46.255220Z digest=sha256:39be45bdf1a93f7b67c138e90b406bbb5ccf7eeebbb790cb2f4961d9e4fae654

Observation 7b0f20f5-5499-4640-97e4-edfc27cd9871 · inbound

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios cites this paper.

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:48:13.602326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T02:20:32.528550Z digest=sha256:8aa501eab3228653bb968216104bfe8370ff9cfc1ecb7391dd39fb1f04e93784

Observation 3d5ab3f1-066f-4b37-8cca-3b2dc0dc4026 · inbound

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios cites this paper.

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-05-14T21:49:29.225384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:49:16.239350Z digest=sha256:514c0f49329c7a2ff8c33b0afd4ea5ce8b28c9d2d9b998bd00c0335a436fcb31

Observation aaeefc47-e88d-4eb4-ae40-69540b80ccbe · inbound

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios cites this paper.

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-03T00:18:42.680931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:18:42.680931Z digest=sha256:9c8062e424d4ff076f1fcb3097de9ed96fec0782dce2fe0646663ed04251184b