Paper Citation Record · LEDGER

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

As of 5 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 12 inbound Pith citation observations for arXiv:2603.04474.

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

pith.paper-citation-record.v1
2603.04474 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T16:36:43.330447Z

measured 69 of 69 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:21:12.213623Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

57 of 57 outbound references displayed

verified exact19
verified fuzzy36
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 1b5ffedc-51c1-4ef7-9a06-c1a448e0173b · outbound

This paper cites Trustworthy agentic ai systems: A cross-layer review of architectures, threat models, and governance strategies for real-world deployment.F1000Research, 14(905):905.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Trustworthy agentic ai systems: A cross-layer review of architectures, threat models, and governance strategies for real-world deployment.F1000Research, 14(905):905

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.016901Z

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.

Observation bec8269a-1c11-44b8-9d11-61d98ba68fc2 · outbound

This paper cites The orchestration of multi-agent systems: Architec- tures, protocols, and enterprise adoption.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration The orchestration of multi-agent systems: Architec- tures, protocols, and enterprise adoption

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:40:10.670591Z

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.

Observation 51c18962-df4d-41ea-900a-9ede3f1c414d · outbound

This paper cites An overview of recent advances of resilient consensus for multiagent systems under at- tacks.Computational Intelligence and Neuroscience, 2022(1):6732343.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration An overview of recent advances of resilient consensus for multiagent systems under at- tacks.Computational Intelligence and Neuroscience, 2022(1):6732343

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.012562Z

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.

Observation fdca1db7-fafb-4e25-baf7-dbf7ef75423a · outbound

This paper cites Uci machine learning repository.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Uci machine learning repository

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.021767Z

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.

Observation 5e5f1a51-e2cf-4055-8704-af9fbae7416c · outbound

This paper cites Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:24:13.179886Z

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.

Observation c94fe53e-eeb5-4213-830a-31734474791c · outbound

This paper cites A theory of fads, fashion, custom, and cultural change as informational cascades.Journal of political Economy, 100(5):992–1026.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration A theory of fads, fashion, custom, and cultural change as informational cascades.Journal of political Economy, 100(5):992–1026

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.165217Z

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.

Observation cc03f118-0bb9-4df7-bdb5-359790d8dc69 · outbound

This paper cites SagaLLM: Context Management, Validation, and Transaction Guarantees for Multi-Agent LLM Planning.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration SagaLLM: Context Management, Validation, and Transaction Guarantees for Multi-Agent LLM Planning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:40:10.636622Z

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.

Observation 5d63d049-d7e9-4a85-84fd-b377d13bdf82 · outbound

This paper cites A lattice model of secure informa- tion flow.Communications of the ACM, 19(5):236–243.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration A lattice model of secure informa- tion flow.Communications of the ACM, 19(5):236–243

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.026042Z

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.

Observation 950523ac-f70d-4c74-bedb-456508c30ff3 · outbound

This paper cites Improving factuality and reasoning in language models through multiagent de- bate.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Improving factuality and reasoning in language models through multiagent de- bate

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.160943Z

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.

Observation b1794681-6067-4990-ac88-a1e14d921deb · outbound

This paper cites Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:40:10.631810Z

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.

Observation 63c94ffe-6e36-43f9-ab11-f0807ac241cd · outbound

This paper cites PhD thesis, University of Oxford.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration PhD thesis, University of Oxford

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.030524Z

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.

Observation 1640e2ac-bdfd-4aac-ae3f-ab33b4c77eb4 · outbound

This paper cites Ragas: Automated evaluation of retrieval augmented generation.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Ragas: Automated evaluation of retrieval augmented generation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.064231Z

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.

Observation 59ecaab9-9bf8-4b11-9ed0-95d0eb4491df · outbound

This paper cites From prompt injections to pro- tocol exploits: Threats in llm-powered ai agents work- flows.ICT Express.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration From prompt injections to pro- tocol exploits: Threats in llm-powered ai agents work- flows.ICT Express

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.035199Z

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.

Observation ced07893-2c0f-43d4-aea0-8069102adf79 · outbound

This paper cites Multi-agent frame- work for threat mitigation and resilience in ai-based systems.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Multi-agent frame- work for threat mitigation and resilience in ai-based systems

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:40:10.610785Z

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.

Observation a891d0ff-843f-4807-a1be-23f506063f14 · outbound

This paper cites Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injec- tion.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injec- tion

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.096927Z

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.

Observation 95405a5e-d8f8-4e72-8ecc-4e6882262592 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:40:10.620987Z

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.

Observation 22538662-b600-4e9a-8e89-bfaa84a3045e · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:40:10.641079Z

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.

Observation bdaf8ade-94dd-4b0c-b604-d3ee454dcd5d · outbound

This paper cites Red-teaming llm multi-agent systems via communication attacks.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Red-teaming llm multi-agent systems via communication attacks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.134713Z

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.

Observation b51e21b9-26c0-4fe8-b3db-78b045d2d3cf · outbound

This paper cites SentinelAgent: Graph-based Anomaly Detection in Multi-Agent Systems.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration SentinelAgent: Graph-based Anomaly Detection in Multi-Agent Systems

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T16:40:10.605299Z

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.

Observation 09e6a53b-3989-4da1-80cc-cdbf3cd6aaea · outbound

This paper cites Measuring Massive Multitask Language Understanding.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Measuring Massive Multitask Language Understanding

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:40:10.665108Z

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.

Observation b03492af-11f6-4e58-b982-9e967ddca6fa · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Measuring Mathematical Problem Solving With the MATH Dataset

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:40:10.590118Z

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.

Observation 4e0edbf6-304f-410f-8f78-c0bb55d32bb3 · outbound

This paper cites Metagpt: Meta programming for a multi-agent collabora- tive framework.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Metagpt: Meta programming for a multi-agent collabora- tive framework

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.114137Z

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.

Observation 881cb4d5-51f3-44dd-baf6-675711c6cdc9 · outbound

This paper cites Understanding the planning of LLM agents: A survey.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Understanding the planning of LLM agents: A survey

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:40:10.615644Z

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.

Observation 7db92c73-39e5-448c-acaf-9ca5ac6645f4 · outbound

This paper cites An overview on multi-agent consensus under adversarial attacks.An- nual Reviews in Control, 53:252–272.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration An overview on multi-agent consensus under adversarial attacks.An- nual Reviews in Control, 53:252–272

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.087313Z

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.

Observation 82826e37-c89b-414d-8af2-eff833bc6e6f · outbound

This paper cites A multi-vocal review of security orchestration.ACM Computing Surveys (CSUR), 52(2):1–45.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration A multi-vocal review of security orchestration.ACM Computing Surveys (CSUR), 52(2):1–45

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.143091Z

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.

Observation 2e92ac95-392a-48a3-8336-78267b07e7b7 · outbound

This paper cites Towards mitigating llm halluci- nation via self reflection.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Towards mitigating llm halluci- nation via self reflection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.075266Z

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.

Observation f2b76f25-546f-4d03-b21e-3908e8634f76 · outbound

This paper cites A survey on large language models for code generation.ACM Transactions on Software Engi- neering and Methodology, 35(2):1–72, January 2026.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration A survey on large language models for code generation.ACM Transactions on Software Engi- neering and Methodology, 35(2):1–72, January 2026

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.092486Z

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.

Observation 7bbf6288-6f69-4e15-9868-d4f8e99e4378 · outbound

This paper cites A survey of llm-driven ai agent communication: Protocols, security risks, and defense countermeasures.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration A survey of llm-driven ai agent communication: Protocols, security risks, and defense countermeasures

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:40:10.624659Z

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.

Observation 1939c595-80a5-46c6-90ce-4d1e0e58dbe2 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.178363Z

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.

Observation 69fd8c2f-b4bb-4230-96b3-16ee84282cb0 · outbound

This paper cites Camel: Communica- tive agents for" mind" exploration of large language model society.Advances in Neural Information Process- ing Systems, 36:51991–52008.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Camel: Communica- tive agents for" mind" exploration of large language model society.Advances in Neural Information Process- ing Systems, 36:51991–52008

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.108778Z

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.

Observation 2401956d-b25d-40eb-a58a-3c03a04c3d18 · outbound

This paper cites A survey on llm-based multi-agent systems: workflow, in- frastructure, and challenges.Vicinagearth, 1(1):9.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration A survey on llm-based multi-agent systems: workflow, in- frastructure, and challenges.Vicinagearth, 1(1):9

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.044516Z

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.

Observation 59852961-3b90-4b27-9085-d95f9c32a0fb · outbound

This paper cites Attack and defense techniques in large language models: A survey and new perspectives.Neu- ral Networks, page 108388.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Attack and defense techniques in large language models: A survey and new perspectives.Neu- ral Networks, page 108388

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.147799Z

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.

Observation dfefdddc-dbfe-4d1c-a9f0-49f9de60456d · outbound

This paper cites The Dark Side of LLMs: Agent-based Attack Vectors for System-level Compromise.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration The Dark Side of LLMs: Agent-based Attack Vectors for System-level Compromise

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:40:10.570454Z

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.

Observation f5300bf8-8325-452a-8b1e-ae98f5229567 · outbound

This paper cites Factscore: Fine-grained atomic evaluation of factual precision in long form text generation.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Factscore: Fine-grained atomic evaluation of factual precision in long form text generation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.058988Z

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.

Observation c7356909-9a9c-4fe5-8d8f-59faf2bef2c8 · outbound

This paper cites Why do multiagent systems fail? In ICLR 2025 Workshop on Building Trust in Language Models and Applications.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Why do multiagent systems fail? In ICLR 2025 Workshop on Building Trust in Language Models and Applications

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.082494Z

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.

Observation 9f6b75c1-200e-4336-bf8c-a6a1c9e48091 · outbound

This paper cites Epidemic processes in complex networks.Reviews of modern physics, 87(3):925–979.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Epidemic processes in complex networks.Reviews of modern physics, 87(3):925–979

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.138641Z

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.

Observation ec4de774-f8c3-42f3-96f0-ce513ff2d760 · outbound

This paper cites A review on agent-to-agent pro- tocol: Concept, state-of-the-art, challenges and future directions.Authorea Preprints.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration A review on agent-to-agent pro- tocol: Concept, state-of-the-art, challenges and future directions.Authorea Preprints

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.130135Z

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.

Observation 029affb2-7b02-417d-8be4-2db6a363537d · outbound

This paper cites Agentic AI: A Conceptual Taxonomy, Applications and Challenges.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Agentic AI: A Conceptual Taxonomy, Applications and Challenges

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:40:10.629806Z

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.

Observation 09a68c78-ebc7-4c3b-b54d-ae76556ab13b · outbound

This paper cites Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:40:10.634987Z

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.

Observation d265a88e-3485-408e-9b45-9f378017087e · outbound

This paper cites Towards detecting llms hallucination via markov chain-based multi-agent debate framework.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Towards detecting llms hallucination via markov chain-based multi-agent debate framework

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.124703Z

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.

Observation 817a75d5-b7f2-48ee-ba40-6531b5f79be3 · outbound

This paper cites Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:40:10.626671Z

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.

Observation 2c4ea325-7518-42d9-bc05-6591f8c5b3f8 · outbound

This paper cites Creating large language model applications utilizing langchain: A primer on developing llm apps fast.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Creating large language model applications utilizing langchain: A primer on developing llm apps fast

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.053668Z

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.

Observation 5e16f565-d5b9-456b-895a-d2bd684ae017 · outbound

This paper cites Multi-Agent Systems Execute Arbitrary Malicious Code.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Multi-Agent Systems Execute Arbitrary Malicious Code

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T16:40:10.565595Z

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.

Observation 06d28cfa-2635-43c2-82a1-231d39a91ad7 · outbound

This paper cites The spread of true and false news online.science, 359(6380):1146– 1151.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration The spread of true and false news online.science, 359(6380):1146– 1151

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.169716Z

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.

Observation cc5fb910-1e10-4733-a12f-a1a3d89e6932 · outbound

This paper cites Agent AI with LangGraph: A Modular Framework for Enhancing Machine Translation Using Large Language Models.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Agent AI with LangGraph: A Modular Framework for Enhancing Machine Translation Using Large Language Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:40:10.571109Z

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.

Observation ba745369-c072-4f81-af9b-ef34dc3543b6 · outbound

This paper cites A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.183658Z

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.

Observation 3443dfb4-dfb6-4f1b-b6fc-aee837d3c768 · outbound

This paper cites Security of internet of agents: Attacks and counter- measures.IEEE Open Journal of the Computer Society.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Security of internet of agents: Attacks and counter- measures.IEEE Open Journal of the Computer Society

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.174027Z

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.

Observation d9ddf7e7-fa6e-43ae-a320-b219ed26e605 · outbound

This paper cites Large model based agents: State-of-the-art, cooperation paradigms, security and privacy, and future trends.IEEE Communications Surveys & Tutorials.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Large model based agents: State-of-the-art, cooperation paradigms, security and privacy, and future trends.IEEE Communications Surveys & Tutorials

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.152337Z

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.

Observation 26a450ba-ec93-44bd-8080-a1e1bcf9d488 · outbound

This paper cites A simple model of global cascades on random networks.Proceedings of the National Academy of Sciences, 99(9):5766–5771.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration A simple model of global cascades on random networks.Proceedings of the National Academy of Sciences, 99(9):5766–5771

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.156774Z

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.

Observation 2bc99559-e9ad-4990-ac13-b79c55fe42fc · outbound

This paper cites Autogen: Enabling next-gen llm applications via multi-agent conversations.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Autogen: Enabling next-gen llm applications via multi-agent conversations

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.049061Z

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.

Observation d9920f23-a17b-4ff1-a665-357491ee2c4c · outbound

This paper cites The rise and potential of large language model based agents: A survey.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration The rise and potential of large language model based agents: A survey

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.102130Z

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.

Observation 5b14e64f-78df-419b-9fd1-7c7a130017bf · outbound

This paper cites Who’s the mole? modeling and detecting intention-hiding malicious agents in llm-based multi-agent systems.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Who’s the mole? modeling and detecting intention-hiding malicious agents in llm-based multi-agent systems

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:40:10.659295Z

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.

Observation b4c5dbc2-682b-4f2d-ab28-098195bd0095 · outbound

This paper cites Minimizing hallucinations and communication costs: Adversarial debate and voting mechanisms in llm-based multi-agents.Applied Sciences, 15(7):3676.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Minimizing hallucinations and communication costs: Adversarial debate and voting mechanisms in llm-based multi-agents.Applied Sciences, 15(7):3676

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.039958Z

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.

Observation 222fb120-d66e-418f-93fb-419a6fe8c125 · outbound

This paper cites Jailbreak Attacks and Defenses Against Large Language Models: A Survey.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Jailbreak Attacks and Defenses Against Large Language Models: A Survey

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:40:10.651710Z

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.

Observation 44e124b1-805a-4f33-a363-6a232cadf090 · outbound

This paper cites Blockchain for network service or- chestration: Trust and adoption in multi-domain envi- ronments.IEEE Communications Standards Magazine, 7(2):16–22.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Blockchain for network service or- chestration: Trust and adoption in multi-domain envi- ronments.IEEE Communications Standards Magazine, 7(2):16–22

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.070200Z

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.

Observation e7c5c23e-e7f1-4887-9288-f5711a0115de · outbound

This paper cites Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:40:10.646859Z

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.

Observation a645ee21-82d6-43ba-9aa9-a544100709b2 · outbound

This paper cites infection.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration infection

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:41:18.119975Z

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.

Pith citing papers

Observation a2ef967e-e04c-4694-a664-f48f88b64712 · inbound

Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy cites this paper.

Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:07:53.702189Z

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.

Observation 3f48360f-0337-426f-a1df-259598e91e05 · inbound

Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy cites this paper.

Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-20T21:33:46.453242Z

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.

Observation 62f0da9f-634d-4c50-844b-3944070656c2 · inbound

CASPIAN: Online Detection and Attribution of Cascade Attacks in LLM Multi-Agent Systems via Cross-Channel Causal Monitoring cites this paper.

CASPIAN: Online Detection and Attribution of Cascade Attacks in LLM Multi-Agent Systems via Cross-Channel Causal Monitoring From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-20T03:13:00.385123Z

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.

Observation b9ed889a-8efa-4a23-a9f5-9e2dc637a2ab · inbound

Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation cites this paper.

Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Reference 211

Resolution: metadata mismatch; local_arxiv, observed 2026-06-27T13:20:56.826731Z

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.

Observation e695ac46-876d-48ad-8a79-4fe1f93c27a0 · inbound

NRT-Bench: Benchmarking Multi-Turn Red-Teaming of LLM Operator Agents in Safety-Critical Control Rooms cites this paper.

NRT-Bench: Benchmarking Multi-Turn Red-Teaming of LLM Operator Agents in Safety-Critical Control Rooms From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-04T04:09:34.454907Z

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.

Observation 0d03a1b9-6302-4ea1-9be9-b715c3f19877 · inbound

Delayed Verification Destabilizes Multi-Agent LLM Belief: Instability Thresholds and Optimal Corrector Placement cites this paper.

Delayed Verification Destabilizes Multi-Agent LLM Belief: Instability Thresholds and Optimal Corrector Placement From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:55:58.653362Z

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.

Observation 491c2103-3253-4368-b269-925a47dd9ffa · inbound

Understanding Rollout Error in Graph World Models cites this paper.

Understanding Rollout Error in Graph World Models From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Reference 48

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T19:13:53.337311Z

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.

Observation aedf62a0-3ec1-418e-aeba-40db4d562ef3 · inbound

Diagnosis-Driven Automatic Repair for Agentic Workflow via Symbolic Inference cites this paper.

Diagnosis-Driven Automatic Repair for Agentic Workflow via Symbolic Inference From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-12T06:24:52.086585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc720055-5096-4c7b-9653-c5141e3b3670 · inbound

MechMath Agent Team: LLM Driven Agents for Mathematical Research cites this paper.

MechMath Agent Team: LLM Driven Agents for Mathematical Research From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-11T19:30:43.940487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99d81090-ac32-4f72-bef2-20f30aef69ea · inbound

Faithful, Not Corrective: Message-Format Effects in Multi-Hop Agent Relays Are Tier-Dependent cites this paper.

Faithful, Not Corrective: Message-Format Effects in Multi-Hop Agent Relays Are Tier-Dependent From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T18:00:19.323220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 699ade45-619b-497f-97c8-81f5b95f3c7d · inbound

Semantic Register Compression in Multi-Agent LLM Cascades cites this paper.

Semantic Register Compression in Multi-Agent LLM Cascades From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T14:21:12.213623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7f7e079-a5ab-4eff-bf9d-66f83d3d7a7b · inbound

How Affect Propagates among LLM Agents: Emergent Emotional Contagion in Crowd Simulation cites this paper.

How Affect Propagates among LLM Agents: Emergent Emotional Contagion in Crowd Simulation From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-31T00:25:48.559457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.