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Paper Citation Record · LEDGER

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency

As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2502.04790.

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

pith.paper-citation-record.v1
2502.04790 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:33:37.726873Z

measured 49 of 49 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:47:37.362407Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:47:37.956802Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2fd5aa00-b7aa-4ab5-81c6-e86f8ed89621 · outbound

This paper cites GPT-4 Technical Report.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:36.614293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:36.614293Z digest=sha256:9671b4cf033b604c5c7aa796dc04fe95e9f23b47f3838d96a37a97d59e7d5bbd

Observation d6f9ac44-b693-4633-8490-a7a0ca9c11ef · outbound

This paper cites PaLM 2 Technical Report.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency PaLM 2 Technical Report

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:36.635430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:36.635430Z digest=sha256:ede6a6ad0d34e7d9ae1782ca566d9222cb4385f1098ef7268926bedbdf9b86ff

Observation 42cba217-03fd-48e4-a6c8-ac4bf67b4714 · outbound

This paper cites an unresolved cited work.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Unresolved cited work

Reference 3

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unresolved
no resolver link, observed 2026-08-08T21:33:36.655512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:36.655512Z digest=sha256:7edc4d2624bdb0bbb7d0e48d8c0b3d6b6aeda593fff37d6d2ca48ac292ce9d39

Observation e103d5ea-294c-4011-b613-1bb97aff270f · outbound

This paper cites an unresolved cited work.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Unresolved cited work

Reference 4

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unresolved
no resolver link, observed 2026-08-08T21:33:36.658570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:36.658570Z digest=sha256:f2a97a2028d9168a7455709c6c35bf80a33cd9abf14cb1c31e062fd6dba63385

Observation f1bbbbc7-b701-4934-b141-b9c4523a0e93 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:36.663306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:36.663306Z digest=sha256:dd9eea9f8de3c9d91ac3f298ee1129ada55ad5134ed31367df7978a32b1d1af7

Observation b021033e-ade5-4d99-819b-19bfe7c848aa · outbound

This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:36.667503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:36.667503Z digest=sha256:77883b5353f70ff506edab1fd44dc638834568771b6dfe636cb5bea77e15e73c

Observation 255c8129-37f8-4189-90d7-833a57839cbc · outbound

This paper cites an unresolved cited work.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:36.672585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:36.672585Z digest=sha256:64dfbc11073eb945e18c322cc4600d5c3fccf0eb2345909ba1e3d189b5087ecc

Observation 9e19ff59-0689-45db-a627-fae6d36fc488 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Training Verifiers to Solve Math Word Problems

Reference 8

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unresolved
no resolver link, observed 2026-08-08T21:33:36.676774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:36.676774Z digest=sha256:d9736820c6a8c7a1a35ed15d859b37a70d65b9a616d724ddeae8b3940925eaaa

Observation 0488e273-c05e-4273-b9d9-031d73567feb · outbound

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

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:36.680559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:36.680559Z digest=sha256:37e14cbc52d283b3829b890c4fe2a5e31006f12c7140da2e5fd0142a55c283fb

Observation ba6c66ae-ecd9-4898-9608-900d2212d64e · outbound

This paper cites Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:36.684637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:36.684637Z digest=sha256:cba08869bf70eb9f6bd6e9f84b5b30da164f898cb77a74d0595c40b5df88d391

Observation 8b9c0e2d-47b4-4926-9ac2-ef49fef35a19 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Measuring Massive Multitask Language Understanding

Reference 11

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unresolved
no resolver link, observed 2026-08-08T21:33:36.687613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:36.687613Z digest=sha256:8de6491a084f19fd5294c2af3498ff0c5ba9481b9b57e7633cc5dfa473ffc0d2

Observation bfa7e292-9993-4502-b8bc-e83979614c9e · outbound

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

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Measuring Mathematical Problem Solving With the MATH Dataset

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:36.765015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:36.765015Z digest=sha256:da0a590ecedeedd45fddbb076785e41ba2b9cbe5238be70a84249d0234c6b0ec

Observation dde7d807-6de4-471e-965b-49f0f9b14806 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency The Curious Case of Neural Text Degeneration

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:36.882977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:36.882977Z digest=sha256:f68f085bb980ec2eba0b702201c6d6410786a32e4df1450a91d96bb36dbfe16c

Observation eb99a108-9bf3-4251-a5e0-0cff76d1fe40 · outbound

This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Large Language Models Cannot Self-Correct Reasoning Yet

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:36.990875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:36.990875Z digest=sha256:bff36c132ae3cc9520d4730715a89a95b168831d78f887aeaa7d5a9a2735d978

Observation 8ded81be-7eef-4f7e-adf5-92100887108d · outbound

This paper cites Tab-CoT: Zero-shot Tabular Chain of Thought.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Tab-CoT: Zero-shot Tabular Chain of Thought

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.031059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.031059Z digest=sha256:047a5db3ef46165144dc317e59e432de3173293dd2359899e2b70a1f6556a021

Observation 6675c08a-e4ef-43af-bf9f-c0d39f1ef9eb · outbound

This paper cites LAMBADA: Backward Chaining for Automated Reasoning in Natural Language.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency LAMBADA: Backward Chaining for Automated Reasoning in Natural Language

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.069521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.069521Z digest=sha256:b5aa2f32a9ada1aee08ce81e2209240b58ba53108858917b6e67688c9a1ffae9

Observation d9a9620f-8d82-4da5-9231-eddc56ede5d2 · outbound

This paper cites Improving Multi-Agent Debate with Sparse Communication Topology.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Improving Multi-Agent Debate with Sparse Communication Topology

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.090487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.090487Z digest=sha256:f5907c91e9c5176d71fe3ec3a0ea3f3cbb0ca1b2bd4fcad65ddb7a9cebc6ae1a

Observation 43992f22-d939-4b80-a077-c03723382ff0 · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.096960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.096960Z digest=sha256:e387d3c3ce778ce9ac43889704454b891eadcfbc03f18c3a679b2684badcfdae

Observation e4519ae6-1558-49ff-a6d2-0ae583563b02 · outbound

This paper cites Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4

Reference 19

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no resolver link, observed 2026-08-08T21:33:37.100770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.100770Z digest=sha256:e220fef90a314e8764ba9cdf96929e700333e01d811c33201f1819621a6d1834

Observation f54f2454-70e6-4bcd-a7e9-f541612032fa · outbound

This paper cites an unresolved cited work.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Unresolved cited work

Reference 20

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unresolved
no resolver link, observed 2026-08-08T21:33:37.104412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.104412Z digest=sha256:88edfe0a9fb3b0d828f9fc132c0e9e4f2f6b24cec5f96c6fae9f0fdbbee1c141

Observation b89f112c-0ffb-46bb-aafc-aadb4c93346e · outbound

This paper cites an unresolved cited work.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.107701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.107701Z digest=sha256:f4c6560cb5146ae8b0eb4dcb65b37488d75dd2f3acc9667083c123dd0c9b81ef

Observation 58204636-160b-48a7-9f89-673f0da84272 · outbound

This paper cites Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.111566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.111566Z digest=sha256:3fb55a6f7e4e4c7dfc80a79d3f543d6867be4dc3fc7e97a2fb8e778d82ead9ad

Observation 91b4beb1-1673-45ba-b079-166aa623a10c · outbound

This paper cites Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.114620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.114620Z digest=sha256:26f89181fa5cf4f538c28b62302350889786c8d570a26d19557e7c3ed712fe78

Observation af6d3737-a4a2-4015-818b-f849860b164a · outbound

This paper cites an unresolved cited work.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Unresolved cited work

Reference 24

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unresolved
no resolver link, observed 2026-08-08T21:33:37.118329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.118329Z digest=sha256:32efd258de7a2a5881da91513fb526646c18ef7c9c314675c7f8d47e9fc4032f

Observation ef219aa0-231a-4ab4-8891-73a3b7c0e898 · outbound

This paper cites an unresolved cited work.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.122004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.122004Z digest=sha256:a59b52731d896c158c07aaab0ff40f18bd685d83c0845fe8bd378367c01d51f4

Observation bdcf13da-62d0-4ed1-8558-2725619f3a5f · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.188854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.188854Z digest=sha256:f8447d4e9bfde2f189d05fb9470995ce7777b4632f152335e95b52ed3e48de69

Observation d1c11568-7770-41ae-8e11-600db6f023f4 · outbound

This paper cites an unresolved cited work.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.278186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.278186Z digest=sha256:b19ff108f6ad69cbeb940e55529aa3076a000c28310acc18c3a9d6c38b6ff060

Observation 1050e4b2-edf5-4fc2-b42c-5b17f3f1e023 · outbound

This paper cites Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.328942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.328942Z digest=sha256:2fbc2de854efb7b3d981f5a5cda4e1d03274b1587b32aa61ae4434a4bcf25048

Observation 2af25100-fe67-44ff-bece-e9f9a4e841fe · outbound

This paper cites GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.395529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.395529Z digest=sha256:10eadd6036106cec2cd52d432fa43f8042c117bd8bd1d9d00472f877ebffad0b

Observation f54b3e9a-3b68-4417-8ce4-3d0346ffbc8b · outbound

This paper cites Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.466118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.466118Z digest=sha256:84ee8f19889aaa63ed0222441cf494befc0ca09ae3102540d1a4be5e8f922a99

Observation f266d19a-3e35-4da7-b77e-ff11c4dc3380 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency LLaMA: Open and Efficient Foundation Language Models

Reference 31

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unresolved
no resolver link, observed 2026-08-08T21:33:37.576866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.576866Z digest=sha256:9bb0ac36acfca9333c2e70633583eef7c04f5abfb335c3c6e2fb0095d1c61f44

Observation b483bd83-f744-46e4-b176-024f83d2b8d9 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.627268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.627268Z digest=sha256:a6b439fc91cb04cab567041a5c3f4311f112ccf599f3995a9d2f8f7f31c96a23

Observation 1d07930e-325d-4ba0-a1bd-68fc220040b9 · outbound

This paper cites Can Large Language Models Really Improve by Self-critiquing Their Own Plans?.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Can Large Language Models Really Improve by Self-critiquing Their Own Plans?

Reference 33

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unresolved
no resolver link, observed 2026-08-08T21:33:37.640825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.640825Z digest=sha256:8e5e9935ecc701a641b62688187ac7caf91bbff1043e4ae0f7556fbf45c8da28

Observation cdd5ec2c-03c3-41b1-afb4-994251091ef6 · outbound

This paper cites Learning to Break: Knowledge-Enhanced Reasoning in Multi-Agent Debate System.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Learning to Break: Knowledge-Enhanced Reasoning in Multi-Agent Debate System

Reference 34

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unresolved
no resolver link, observed 2026-08-08T21:33:37.648798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.648798Z digest=sha256:dbdbd49ce8ea5055db6fbb52f1a041ed6badc0d37b8b16d8daa1858c4d3f2ae3

Observation a7a5dcf3-b5cb-42ed-9388-f34c48e8f241 · outbound

This paper cites Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-08T21:33:37.976880Z

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.

source=arxiv_source observed=2026-08-08T21:33:37.660393Z digest=sha256:15ed9ed552d69046416448c622028e43b42082dccb6435bb81da9ec2cfe6706d

Observation 6891fd79-0f8c-4e8f-bd8a-962ca3f91917 · outbound

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

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 36

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unresolved
no resolver link, observed 2026-08-08T21:33:37.673595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.673595Z digest=sha256:8b9ce66c11970c5de7b7241eea55c83aca9cd5f0a5c7a685311214936f02a594

Observation f860a0be-813c-4554-b606-df8cd2709422 · outbound

This paper cites an unresolved cited work.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Unresolved cited work

Reference 37

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unresolved
no resolver link, observed 2026-08-08T21:33:37.687306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.687306Z digest=sha256:4b2ae1005dbfdcec48d38cdc1302e01c8084d9ea796ec820fcb5f602a1e060b5

Observation c1ccffb0-b099-420a-8576-85c3fde1634f · outbound

This paper cites Generating Sequences by Learning to Self-Correct.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Generating Sequences by Learning to Self-Correct

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.690667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.690667Z digest=sha256:721fcd3ed171d9ee47133bae05e488fb29b7b63e358d7654f86a3d394188ea6a

Observation 7d4c4cff-e61d-460f-be5d-af3b7cfde930 · outbound

This paper cites Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.693898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.693898Z digest=sha256:836f09f2e8cef6e478ab62660f125e9a2749c04545d2fc6dbc114be4ccfe3041

Observation cda942b3-2eb7-41cf-bea7-33daf4ab67aa · outbound

This paper cites an unresolved cited work.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Unresolved cited work

Reference 40

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unresolved
no resolver link, observed 2026-08-08T21:33:37.697597Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T21:33:37.697597Z digest=sha256:ea0708b01538d62de5423391ea84aa3eecd6e496992fae738ed615d35a093477

Observation 9805cc1e-2b56-4ebf-9746-64e5998a7c05 · outbound

This paper cites Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.700576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.700576Z digest=sha256:c1543c7c63a9365d43228f6ea647f2d89360292e80c470e102bb333757c39610

Observation bc61bf6f-0819-4642-8103-c35b231eb39f · outbound

This paper cites Understanding In-Context Learning from Repetitions.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Understanding In-Context Learning from Repetitions

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-08T21:33:37.837996Z

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.

source=arxiv_source observed=2026-08-08T21:33:37.704590Z digest=sha256:50421380830f45abfe447b11ea18eb4b3666b9a376034b41829ee1b4c8934eb7

Observation 67ca3471-77f8-4456-9901-ab8eaa454929 · outbound

This paper cites an unresolved cited work.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.708014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.708014Z digest=sha256:5263cb74023b077dc067dac8e54bb140b0cc42f987dbac6c8257068bbc32e942

Observation 05871a69-430c-473d-8592-3897152b98b6 · outbound

This paper cites an unresolved cited work.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.711278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.711278Z digest=sha256:085d13612546216c61aee1c44df768f2a2239c2f4f3bfeec506816c778986cc6

Observation cb0d0c88-7315-4b27-8d1c-2a6d37fcb2d0 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.713920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.713920Z digest=sha256:2fe468cd768f9e5fb3482e0ae1f5ee071ceda1ad4564619ea911cc78b1fb08b6

Observation 1ca6cd5f-df95-43c9-8f4d-7b9a669c1aaf · outbound

This paper cites online" 'onlinestring :=.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency online" 'onlinestring :=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.717442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.717442Z digest=sha256:a29cc38b102337e3333157bbfe384b57b73a0bec33684ce19a5909dd1c6a5902

Observation 0a5df3e4-b40b-4de4-af9b-1886784d8307 · outbound

This paper cites write newline.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency write newline

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.726873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.726873Z digest=sha256:7eded20242a6d530c08323a4ff90122faf9aa3ab50ca6c17fbbddfd0018e879f

Pith citing papers

Observation 9f06c2a3-f689-46d7-9804-edd5f954f668 · inbound

Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution cites this paper.

Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:47:38.073016Z

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.

source=pdf_text observed=2026-08-07T14:47:37.362407Z digest=sha256:70b29040298d158dd72402476043a27a750e26ef67a58e72b42113a196e24d55

Observation 69895468-8623-4789-9265-6cf56bd5751f · inbound

Toward Efficient Agents: Memory, Tool learning, and Planning cites this paper.

Toward Efficient Agents: Memory, Tool learning, and Planning S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency

Reference 178

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:49.226749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:49.226749Z digest=sha256:a45995f6097acf3dcf16ffa097b5b8f472b13039affa2b94a45ef493d0d7c4b0