Paper Citation Record · LEDGER

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

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2311.17371.

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

pith.paper-citation-record.v1
2311.17371 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 2026-08-03T02:19:38.059245Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:40:02.389703Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c3dbbfb1-5da0-48c5-b7b0-0eba118784a7 · inbound

Learning from Self-Debate: Preparing Reasoning Models for Multi-Agent Debate cites this paper.

Learning from Self-Debate: Preparing Reasoning Models for Multi-Agent Debate Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:30:13.841005Z

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 2b14c049-4f99-4e88-9909-a1dbd7d95010 · inbound

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines cites this paper.

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 7d5f1ae2-571f-41c0-8d6b-bb2d5862a8ec · inbound

Representational Collapse in Multi-Agent LLM Committees: Measurement and Diversity-Aware Consensus cites this paper.

Representational Collapse in Multi-Agent LLM Committees: Measurement and Diversity-Aware Consensus Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:03:04.476844Z

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 ac001401-3670-4b92-9fac-254f2ef332fc · inbound

BLUEmed: Retrieval-Augmented Multi-Agent Debate for Clinical Error Detection cites this paper.

BLUEmed: Retrieval-Augmented Multi-Agent Debate for Clinical Error Detection Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:16:01.470163Z

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 c1bdd32f-2749-4b76-8c78-6772a48a0377 · inbound

EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium cites this paper.

EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:56:26.163882Z

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 27aec600-0036-4bea-ab3e-39b27d069419 · inbound

Collective Alignment in LLM Multi-Agent Systems: Disentangling Bias from Cooperation via Statistical Physics cites this paper.

Collective Alignment in LLM Multi-Agent Systems: Disentangling Bias from Cooperation via Statistical Physics Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:46:49.797693Z

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 bb492e74-7947-435a-9ce3-af4450d60482 · inbound

MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination cites this paper.

MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:10:23.664887Z

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 c8835ceb-6dd1-4476-953f-85e493582ec4 · inbound

MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination cites this paper.

MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:44:56.164002Z

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 d102a45b-d23d-42ac-b6b1-7c69e7bf3f99 · inbound

MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination cites this paper.

MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T02:19:38.059245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17737bf9-f15e-4829-8ef7-7294761905c3 · inbound

To Isolate or to Score? Model-Adaptive Assessment for Cost-Efficient Multi-Agent RAG cites this paper.

To Isolate or to Score? Model-Adaptive Assessment for Cost-Efficient Multi-Agent RAG Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T18:40:02.391200Z

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 8f255a1f-2f1d-4643-a3a2-8c208dbee82c · inbound

Multi-Agent LLMs Fail to Explore Each Other cites this paper.

Multi-Agent LLMs Fail to Explore Each Other Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T06:01:28.311572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23a2685f-b30b-448a-b875-cae97d8f193f · inbound

Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes cites this paper.

Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T23:25:45.284266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.