Paper Citation Record · LEDGER

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering

As of 22 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2505.03096.

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

pith.paper-citation-record.v1
2505.03096 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:01:36.993633Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T08:20:33.374650Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:41:11.495121Z

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy27
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f1b325a6-098b-4010-bfdc-f43ee0846451 · outbound

This paper cites Copilot.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Copilot

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.481996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a89fd123-70e2-4642-b95f-60d0df10d9f5 · outbound

This paper cites Google AI for Developers.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Google AI for Developers

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.472489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b4d7bbf7-15c1-46d0-a2ce-5e4dc0eb1e13 · outbound

This paper cites ChatGPT.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering ChatGPT

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.462658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d8e59f97-58ec-4d60-8c89-b15d56e63aab · outbound

This paper cites Attention is all you need,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Attention is all you need,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.866436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfef33c1-71b8-4c5f-a803-ab9b4402edf2 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.869405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b4c3ea5-8927-489a-a7e5-465412683a78 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering WebGPT: Browser-assisted question-answering with human feedback

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.872746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 209bac15-10d6-4e2d-8199-9dbea5ad8c73 · outbound

This paper cites Examining zero-shot vulnerability repair with large language models,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Examining zero-shot vulnerability repair with large language models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.442288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c01dd0a6-c10a-4eb3-9b43-05180e35ac3e · outbound

This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.879091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a50f9b14-8ae1-4bd3-a642-6272653e2c6e · outbound

This paper cites Why Agents are the next frontier of generative AI,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Why Agents are the next frontier of generative AI,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.432675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation de634598-619c-44f8-b1f5-346fa76544aa · outbound

This paper cites LLM Multi-Agent Systems: Challenges and Open Problems.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering LLM Multi-Agent Systems: Challenges and Open Problems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.887095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f7c1f0b-a794-42b3-b6cf-dc281327d6cb · outbound

This paper cites Exploring Autonomous Agents through the Lens of Large Language Models: A Review.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Exploring Autonomous Agents through the Lens of Large Language Models: A Review

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.890567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 539db196-4d33-4560-b1ec-13f8459aa9bc · outbound

This paper cites Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.894249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81c47e64-9923-416a-8a8e-3ff06d45b709 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.897542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca48abb6-3efb-4e64-97af-25132666a057 · outbound

This paper cites Chaos engineering for resilience assessment of digital twins,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Chaos engineering for resilience assessment of digital twins,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.421935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86521bf6-4b18-4f5d-802a-dad4dd2653e3 · outbound

This paper cites Chaos engineering,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Chaos engineering,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.412376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5177c1c6-4455-43a5-a90d-69f46d547a4a · outbound

This paper cites Chaos engineering of ethereum blockchain clients,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Chaos engineering of ethereum blockchain clients,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.403918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 09fb542f-8ee8-4277-8baa-ee842bd92650 · outbound

This paper cites Chaos engineering: At the age of AI and ML,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Chaos engineering: At the age of AI and ML,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.394256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 14be2b47-d0f0-45ee-836f-41f0bddc1137 · outbound

This paper cites The role of theory and theorising in design science research,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering The role of theory and theorising in design science research,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.385282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d844bc32-77c4-4d58-a074-0470334628fe · outbound

This paper cites Action research,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Action research,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.918096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3468ed4b-091a-4b31-8038-4cbfd7ef2a97 · outbound

This paper cites A Survey on Evaluating Large Language Models in Code Generation Tasks.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering A Survey on Evaluating Large Language Models in Code Generation Tasks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.921344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6e50d4e-4456-4ded-8237-462db1ce3e8b · outbound

This paper cites LLMs for code: The potential, prospects, and problems,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering LLMs for code: The potential, prospects, and problems,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.369082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9cd1e85c-1fac-47bb-88ce-fbc9e4c3fa59 · outbound

This paper cites Weaknesses in LLM- generated code for embedded systems networking,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Weaknesses in LLM- generated code for embedded systems networking,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.359817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cb8c95a0-e8de-4dd3-9a1b-a44096913c60 · outbound

This paper cites A survey on LLM- based multi-agent systems: workflow, infrastructure, and challenges,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering A survey on LLM- based multi-agent systems: workflow, infrastructure, and challenges,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.931225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b326f425-f182-4d23-a699-cceb6f8db6b4 · outbound

This paper cites System for systematic literature review using multiple AI agents: Concept and an empirical evaluation,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering System for systematic literature review using multiple AI agents: Concept and an empirical evaluation,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.935105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea50fba8-1e3e-4aa2-852f-e2a96463e830 · outbound

This paper cites Synchromesh: Reliable code generation from pre-trained language models.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Synchromesh: Reliable code generation from pre-trained language models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.938097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e6e804d-4a9f-4cfd-b0f5-0bfc44740b87 · outbound

This paper cites Assessing the quality of GitHub Copilot’s code generation,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Assessing the quality of GitHub Copilot’s code generation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.343852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 23076143-390a-424e-920c-1fc0a84eb96e · outbound

This paper cites Can LLM replace Stack Overflow? a study on robustness and reliability of large language model code genera- tion,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Can LLM replace Stack Overflow? a study on robustness and reliability of large language model code genera- tion,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.333670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 41b9039c-f402-4c36-9ab9-b58b7dbd5daf · outbound

This paper cites Improving alignment and robustness with circuit breakers,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Improving alignment and robustness with circuit breakers,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.323961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation da622a7a-20ab-45e3-81f1-c401a9a211cc · outbound

This paper cites Robust LLM safeguarding via refusal feature adversarial training.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Robust LLM safeguarding via refusal feature adversarial training

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.951221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e84482ec-b5f9-4820-b804-a12385b4a798 · outbound

This paper cites NetSafe: Exploring the Topological Safety of Multi-agent Networks.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering NetSafe: Exploring the Topological Safety of Multi-agent Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.955099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fa77986-2553-4378-9c21-f02dd9e673f3 · outbound

This paper cites Trustagent: Towards safe and trustworthy LLM-based agents through agent constitution,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Trustagent: Towards safe and trustworthy LLM-based agents through agent constitution,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.315155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 87cc247b-89a1-4380-abe6-d3bd111b2917 · outbound

This paper cites Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T00:01:36.961347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61987db6-66a7-4dcc-a541-1bb5d4630925 · outbound

This paper cites Chaos engineering in machine learning: Embracing the unpredictable to enhance system robustness,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Chaos engineering in machine learning: Embracing the unpredictable to enhance system robustness,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.305351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4204cb57-6754-47c0-8fd5-0efda3d61f8f · outbound

This paper cites Introducing chaos engineering to machine learning deploy- ments,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Introducing chaos engineering to machine learning deploy- ments,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.295762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation faa3f6af-7db7-4e62-91d1-56d4acfce403 · outbound

This paper cites Embracing disruption: Applying machine learning to chaos engineering,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Embracing disruption: Applying machine learning to chaos engineering,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.287216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 42935381-556a-4efe-abb2-64c48cb961da · outbound

This paper cites An empirical investigation of the acceptance of chaos engineering,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering An empirical investigation of the acceptance of chaos engineering,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.277647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 59d59a09-d7d1-47b2-a026-b5149113b02f · outbound

This paper cites Harnessing chaos: The role of chaos engineering in cloud applications and impacts on site reliability engineering,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Harnessing chaos: The role of chaos engineering in cloud applications and impacts on site reliability engineering,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.267978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0006e531-6e72-4816-9e34-fa15ceb0b2ca · outbound

This paper cites A chaos engineering system for live analysis and falsification of exception- handling in the jvm,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering A chaos engineering system for live analysis and falsification of exception- handling in the jvm,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.258101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ff4fea20-728d-4e12-8ddc-313c18d1aafe · outbound

This paper cites The design science paradigm as a frame for empirical software engineering,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering The design science paradigm as a frame for empirical software engineering,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.246605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3729c79d-0918-4358-9c4a-8a127bdc3024 · outbound

This paper cites How software engineering research aligns with design science: a review,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering How software engineering research aligns with design science: a review,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.236581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7bd2f4ec-7c54-42c9-b870-cd27e637c067 · outbound

This paper cites Managing risk in software process improvement: an action research approach,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Managing risk in software process improvement: an action research approach,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.225059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 036c5580-bfe7-41a5-8d74-8f00c3cd49ba · outbound

This paper cites Data quality certification using iso/iec 25012: Industrial experiences,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Data quality certification using iso/iec 25012: Industrial experiences,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.213932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6addc7a7-6f6f-441c-a333-ce534a320aa4 · outbound

This paper cites Action research as research methodology in software engineering,.

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering Action research as research methodology in software engineering,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:01:37.203921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 6102797d-da37-4dc8-a808-98bbaa159315 · inbound

Code Broker: A Multi-Agent System for Automated Code Quality Assessment cites this paper.

Code Broker: A Multi-Agent System for Automated Code Quality Assessment Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:41:11.502069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.