Paper Citation Record · LEDGER

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2603.20324.

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

pith.paper-citation-record.v1
2603.20324 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:52:54.820035Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 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

25 of 25 outbound references displayed

verified exact0
verified fuzzy0
unresolved22
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 85e8117b-99b5-4440-aa3b-1f527ba26f06 · outbound

This paper cites Barr, Roger Levy, Christoph Scheepers, and Harry J.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Barr, Roger Levy, Christoph Scheepers, and Harry J

Reference 1

Resolution: malformed identifier; doi_truncated, observed 2026-08-02T17:54:06.028103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 85b90301-beaf-4f64-a795-a86ab1b3ee50 · outbound

This paper cites an unresolved cited work.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.726080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 260a4b1a-b1c3-4b45-ab75-db94f723af0e · outbound

This paper cites Optimizing Model Selection for Compound AI Systems.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Optimizing Model Selection for Compound AI Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.730481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b57c1488-86c7-4bb4-ab30-95242d27c7db · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.735172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa4663f7-ba6a-4f21-bb46-8dd43cac72d1 · outbound

This paper cites When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.739375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e721e072-76eb-4f4b-b93e-6dd60fa09dcd · outbound

This paper cites Imprimerie Royale, Paris, 1785.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Imprimerie Royale, Paris, 1785

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.743987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6d17b26-77ca-4817-bdf6-3d8b7680a755 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.748148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6f92ed0-7926-48a5-b6f3-e1e4a3b8245b · outbound

This paper cites an unresolved cited work.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Unresolved cited work

Reference 8

Resolution: malformed identifier; no resolver link, observed 2026-08-02T17:52:54.753037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6dcf257-40f4-42c5-9384-ea917cb60aa0 · outbound

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

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.756969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c94298c-68e7-4207-a626-7e755e893ae6 · outbound

This paper cites LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.761095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d415a3f8-1bb2-4928-b1bc-d876c57a40d9 · outbound

This paper cites an unresolved cited work.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Unresolved cited work

Reference 11

Resolution: malformed identifier; no resolver link, observed 2026-08-02T17:52:54.765204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25c59f98-73ed-44f1-85e3-a01200b19ae8 · outbound

This paper cites CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.769110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeeaa329-c39d-48f7-ade2-dccb57339ae4 · outbound

This paper cites More Agents Is All You Need.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines More Agents Is All You Need

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.773418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efc449e2-c2b8-4f27-8fe2-a80dc9809ae1 · outbound

This paper cites Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.777529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe068385-672f-4acc-8838-5f54f5456a33 · outbound

This paper cites LLM Evaluators Recognize and Favor Their Own Generations.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines LLM Evaluators Recognize and Favor Their Own Generations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.781379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b14c049-4f99-4e88-9909-a1dbd7d95010 · outbound

This paper cites Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.785455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eceaf23-63d6-4507-a0cf-5a3cac175f3a · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.789281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60625b48-df2d-4cc8-819c-7f5ad192d9ec · outbound

This paper cites Learning to summarize from human feedback.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Learning to summarize from human feedback

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.793136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06467578-9dc9-4e05-a862-ce0266e7b7a8 · outbound

This paper cites Large Language Models are Inconsistent and Biased Evaluators.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Large Language Models are Inconsistent and Biased Evaluators

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.797274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29cb192d-06e0-447e-be55-5b98569a1a80 · outbound

This paper cites The value of diversity in multi-agent systems.arXiv preprint arXiv:2602.07186, 2026.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines The value of diversity in multi-agent systems.arXiv preprint arXiv:2602.07186, 2026

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.801248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdc7483e-9365-40d2-b51b-ffbc59e5b24e · outbound

This paper cites Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.804614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd0766cf-b311-4187-bcab-841da3d991cc · outbound

This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Mixture-of-Agents Enhances Large Language Model Capabilities

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.808447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc8d4f01-2a6b-496a-a6cd-0fedd8cf6399 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.812325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 183b7390-adcb-43ef-8cc5-765c9e1b1bbf · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.816324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbef79b8-acef-4017-8f48-719f9938cd32 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.820035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.