Paper Citation Record · LEDGER

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.04623.

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

pith.paper-citation-record.v1
2607.04623 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T16:15:54.038500Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy0
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad31f359-6c1d-4ace-ba44-3bf527405898 · outbound

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

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Lever- aging large language models for the auto-remediation of microservice applications: An experimental study,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4020b5e3-4b49-4d2e-988b-3fe2b458bf43 · outbound

This paper cites Llm-enhanced failure localization in microservices: Integrating multi- modal data and expert interpretation,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Llm-enhanced failure localization in microservices: Integrating multi- modal data and expert interpretation,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bd50ab5-a99a-4fe1-996f-e892865c635e · outbound

This paper cites Bench- marking microservice systems for software engineering research,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Bench- marking microservice systems for software engineering research,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd243e4c-f408-4af0-9621-fe6056d7b024 · outbound

This paper cites Microhecl: High-efficient root cause localization in large- scale microservice systems,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Microhecl: High-efficient root cause localization in large- scale microservice systems,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a818cb88-05d7-43b0-bb06-944adcaaca84 · outbound

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

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Interpretable failure localization for microservice systems based on graph autoencoder,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3985349c-0559-45a1-aa79-10affa826b7c · outbound

This paper cites Loghub: A large collection of system log datasets for ai-driven log analytics,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Loghub: A large collection of system log datasets for ai-driven log analytics,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 619ef8bc-ae8d-46df-a776-8d8c1a1d522b · outbound

This paper cites A large-scale evaluation for log parsing techniques: How far are we?.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning A large-scale evaluation for log parsing techniques: How far are we?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff416295-adf7-41f3-9c85-1abc9bf7d568 · outbound

This paper cites Logeval: A comprehensive benchmark suite for llms in log analysis,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Logeval: A comprehensive benchmark suite for llms in log analysis,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4385e56e-1659-4212-a29f-423ba1315a04 · outbound

This paper cites Mrca: Metric-level root cause analysis for microservices via multi-modal data,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Mrca: Metric-level root cause analysis for microservices via multi-modal data,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 665520ec-bca7-4508-b25b-2fa8d84ab04c · outbound

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

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Rcaeval: a bench- mark for root cause analysis of microservice systems with telemetry data,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 191e5657-7933-4e28-8069-3670ae6ae957 · outbound

This paper cites Logsage: An llm-based framework for ci/cd failure detection and remediation with industrial validation,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Logsage: An llm-based framework for ci/cd failure detection and remediation with industrial validation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 684f19db-af05-4390-9f74-47b14c8c524e · outbound

This paper cites Logsieve: Task-aware ci log reduction for sustainable llm-based analysis,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Logsieve: Task-aware ci log reduction for sustainable llm-based analysis,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3b31e16-0aaa-47ea-a200-140eeeafd7d7 · outbound

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

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Openrca: Can large language models locate the root cause of software failures?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1445d0f1-8901-4b08-9aa7-795801995d91 · outbound

This paper cites RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2897dda8-3468-4908-9f63-25f5a5ea2baa · outbound

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

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Automatic root cause analysis via large language models for cloud incidents,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ef04646-3cb1-4bcb-925e-6b576381a224 · outbound

This paper cites A mape-k approach to autonomic microservices,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning A mape-k approach to autonomic microservices,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fb06bd2-6e87-49f4-a2e7-e67e5ab7468b · outbound

This paper cites Microremed: Benchmarking llms in microservices remediation,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Microremed: Benchmarking llms in microservices remediation,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a71fa756-a0f5-49a3-ad03-bc97e6238193 · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues?.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Swe-bench: Can language models resolve real-world github issues?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a37aba2-a156-4ffb-9333-ae057c4fadd3 · outbound

This paper cites Secbench. js: An executable security benchmark suite for server-side javascript,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Secbench. js: An executable security benchmark suite for server-side javascript,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4c50947-8595-4575-a8fc-bf72a930f737 · outbound

This paper cites Root cause analysis for microservice system based on causal inference: How far are we?.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Root cause analysis for microservice system based on causal inference: How far are we?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2023dfd8-3d88-4277-8c54-b2791b097fb6 · outbound

This paper cites PyRCA: A Library for Metric-based Root Cause Analysis.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning PyRCA: A Library for Metric-based Root Cause Analysis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c87c0b9-498a-48a2-afa4-f15fb41cd74f · outbound

This paper cites Logprompt: Prompt engineering towards zero-shot and interpretable log analysis,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Logprompt: Prompt engineering towards zero-shot and interpretable log analysis,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ad1d6d8-9bfb-47af-8c7d-8e9c5ef403c2 · outbound

This paper cites Leveraging rag-enhanced large language model for semi-supervised log anomaly detection,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Leveraging rag-enhanced large language model for semi-supervised log anomaly detection,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c61934a-8885-4200-be47-a7c39d16c86a · outbound

This paper cites Rcaflow: A workflow-informed hierarchi- cal planning multi-agent system for root cause analysis,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Rcaflow: A workflow-informed hierarchi- cal planning multi-agent system for root cause analysis,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cf4a668-775b-4fc6-9c2c-5c55e4bea3d7 · outbound

This paper cites Grace: A strategic llm-enhanced graph reinforcement learning framework for adaptive fault recovery in microservice systems,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Grace: A strategic llm-enhanced graph reinforcement learning framework for adaptive fault recovery in microservice systems,

Reference 25

Resolution: verified exact; doi, observed 2026-07-11T16:18:08.396401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 443b85ce-a46c-477a-a11d-ba405f61c8be · outbound

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

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Recommending root-cause and mitigation steps for cloud incidents using large language models,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84e7ab29-6f39-4ace-a84b-7ae3a7ab4408 · outbound

This paper cites GenKubeSec: LLM-Based Kubernetes Misconfiguration Detection, Localization, Reasoning, and Remediation.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning GenKubeSec: LLM-Based Kubernetes Misconfiguration Detection, Localization, Reasoning, and Remediation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34ac405b-f1a3-4475-9d20-132364474c06 · outbound

This paper cites Galr: Graph-based root cause localization and llm-assisted recovery for microservice systems,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Galr: Graph-based root cause localization and llm-assisted recovery for microservice systems,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d21170-de49-4f01-a567-0343cfabb57f · outbound

This paper cites Logformer: A pre-train and tuning pipeline for log anomaly detection,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Logformer: A pre-train and tuning pipeline for log anomaly detection,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0229064e-6fac-4a3e-854d-70a8350f81c4 · outbound

This paper cites Online boutique,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Online boutique,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33dbf3bb-2497-48c2-90ef-fa467cb62633 · outbound

This paper cites Kubernetes documentation,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Kubernetes documentation,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dea7b2fe-d7d7-41b6-99ce-0883ac86c339 · outbound

This paper cites Prometheus monitoring system,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Prometheus monitoring system,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01486f87-3a1a-4d3f-b22c-5e8a76b09bba · outbound

This paper cites Chaos mesh documentation,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Chaos mesh documentation,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 341f0b26-689d-4c79-86d6-0de975137a07 · outbound

This paper cites Onelog: towards end-to-end software log anomaly detection,.

Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action Reasoning Onelog: towards end-to-end software log anomaly detection,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-11T16:15:54.038500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.