Paper Citation Record · LEDGER

More Agents Is All You Need

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 38 inbound Pith citation observations for arXiv:2402.05120.

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

pith.paper-citation-record.v1
2402.05120 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 38 of 38 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 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:51:53.518694Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

21
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e940013a-d9c4-4d98-9a39-3fadfbd88431 · inbound

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion cites this paper.

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion More Agents Is All You Need

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T19:51:53.518694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2049544f-d303-42bf-9664-f2c16521aa19 · inbound

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

Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial? More Agents Is All You Need

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T18:11:28.138099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a728506-6b88-464c-be4d-a4fca8c502b9 · inbound

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search cites this paper.

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search More Agents Is All You Need

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:07:30.504982Z

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 16c87d2d-4fcc-4d16-b725-292c73c2f0d4 · inbound

Simulating Rumor Spreading in Social Networks using LLM Agents cites this paper.

Simulating Rumor Spreading in Social Networks using LLM Agents More Agents Is All You Need

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T15:19:02.391498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e749b220-9eb7-45df-b7b6-f559a5a6027e · inbound

Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures cites this paper.

Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures More Agents Is All You Need

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:49.423933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a50211f-9429-42f9-bb11-695879543ead · inbound

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble cites this paper.

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble More Agents Is All You Need

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:25:19.698679Z

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 15ec800a-db78-4529-bde7-e8374870b0fc · inbound

Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR cites this paper.

Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR More Agents Is All You Need

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-22T20:32:04.635442Z

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 a4eb7679-4220-49fe-bab5-e904417d0a04 · inbound

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection cites this paper.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection More Agents Is All You Need

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:02.474889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9c735de-dd20-4ef2-bf26-0675e8a2035d · inbound

Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection cites this paper.

Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection More Agents Is All You Need

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:16:19.791117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49d3bfb8-dd50-4b73-97fe-eac1cddcf4f7 · inbound

An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring cites this paper.

An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring More Agents Is All You Need

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:44.885291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7409161c-c802-4039-9afe-867f5360449d · inbound

Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting cites this paper.

Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting More Agents Is All You Need

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:00.113609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8227a881-9103-443d-a60a-6b44c8cf3898 · inbound

ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction cites this paper.

ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction More Agents Is All You Need

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:15:51.554156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32648057-5f4d-485d-a667-3c33533f2b8e · inbound

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement cites this paper.

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement More Agents Is All You Need

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:30:46.042887Z

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 14bfa440-024e-43c2-a970-8e6011744542 · inbound

Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation cites this paper.

Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation More Agents Is All You Need

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T08:44:56.469976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6d20cde-7c1f-4e28-90a7-f03fc4a9e0e8 · inbound

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process cites this paper.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process More Agents Is All You Need

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.704184Z

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 53eb8bc3-a248-4da5-bbaa-af8d2ab060f5 · inbound

Tacit Coordination of Large Language Models cites this paper.

Tacit Coordination of Large Language Models More Agents Is All You Need

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T07:22:45.544266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb65887-7b64-4529-8230-d425e2b68547 · inbound

Transition from Statistical to Hardware-Limited Scaling in Photonic Quantum State Reconstruction cites this paper.

Transition from Statistical to Hardware-Limited Scaling in Photonic Quantum State Reconstruction More Agents Is All You Need

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T22:25:15.261445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeeaa329-c39d-48f7-ade2-dccb57339ae4 · 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 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 7bfb6a9d-5974-4506-be39-3e56342fb04c · inbound

ALL-FEM: Agentic Large Language models Fine-tuned for Finite Element Methods cites this paper.

ALL-FEM: Agentic Large Language models Fine-tuned for Finite Element Methods More Agents Is All You Need

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T15:51:05.387770Z

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 4597ce43-dae5-4c99-b201-fd3b7be361a6 · inbound

Effective Strategies for Asynchronous Software Engineering Agents cites this paper.

Effective Strategies for Asynchronous Software Engineering Agents More Agents Is All You Need

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T20:49:09.477849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0063510-bf8d-48e9-953e-a60f874096c1 · inbound

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems cites this paper.

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems More Agents Is All You Need

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:43:12.079521Z

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 9d475545-93f1-4f36-b16a-9b97f6048434 · inbound

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling cites this paper.

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling More Agents Is All You Need

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:26:25.790841Z

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 b9d54c95-f54a-462d-bf78-0fe81682d780 · inbound

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling cites this paper.

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling More Agents Is All You Need

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T05:23:28.569411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ceed462-8f1b-4c97-aa70-e369bc15a9a8 · inbound

The Reasoning Trap: An Information-Theoretic Bound on Closed-System Multi-Step LLM Reasoning cites this paper.

The Reasoning Trap: An Information-Theoretic Bound on Closed-System Multi-Step LLM Reasoning More Agents Is All You Need

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:41:04.094939Z

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 024e8d72-9ef2-40dc-a80c-aed3b0e79278 · inbound

Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs cites this paper.

Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs More Agents Is All You Need

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:22.203914Z

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 554d9e8e-f1b6-493b-8ccd-f37185433ef1 · inbound

Self-Refining Topology Optimization via an LLM-Based Multi-Agent Framework cites this paper.

Self-Refining Topology Optimization via an LLM-Based Multi-Agent Framework More Agents Is All You Need

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:06:34.068410Z

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 9d77d8e1-1b01-4817-bfd1-dcc18c016449 · inbound

Streaming Communication in Multi-Agent Reasoning cites this paper.

Streaming Communication in Multi-Agent Reasoning More Agents Is All You Need

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:06:47.915435Z

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 0bc03a01-036a-4e01-9db9-8d7a6a6b5ee5 · inbound

Streaming Communication in Multi-Agent Reasoning cites this paper.

Streaming Communication in Multi-Agent Reasoning More Agents Is All You Need

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T04:58:39.173424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ed5f14b-6984-43ce-ad51-96dd61c86d49 · inbound

Ontology-constrained multi-LLM scoring of hypothesis support in the predictive processing literature cites this paper.

Ontology-constrained multi-LLM scoring of hypothesis support in the predictive processing literature More Agents Is All You Need

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:54:37.852449Z

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 43bd1663-f19c-49aa-ae57-0457e1c14e75 · inbound

Do More Agents Help? Controlled and Protocol-Aligned Evaluation of LLM Agent Workflows cites this paper.

Do More Agents Help? Controlled and Protocol-Aligned Evaluation of LLM Agent Workflows More Agents Is All You Need

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:56:57.259502Z

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 f73c082b-057a-41ad-8aac-5e4d27dccf57 · inbound

A Technical Taxonomy of LLM Agent Communication Protocols cites this paper.

A Technical Taxonomy of LLM Agent Communication Protocols More Agents Is All You Need

Reference 84

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:09:28.801624Z

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 9cdfaa3d-f572-41ea-96a1-fb9f37031b10 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models More Agents Is All You Need

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:09:36.888582Z

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 f4118e3b-b6d9-4735-8b11-20dc79d87484 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models More Agents Is All You Need

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T10:49:01.710633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38c2ecd2-7be1-41ad-b824-30154f9acf5d · inbound

Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning cites this paper.

Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning More Agents Is All You Need

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:20:00.080102Z

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 357129bc-5886-4d02-a8af-e471df4bed69 · inbound

When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models cites this paper.

When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models More Agents Is All You Need

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:19:53.627458Z

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 03633db4-0bc0-4672-81eb-db41de202a13 · inbound

Budgeted Act-or-Defer Multi-Agent LLM Deliberation with Local Reliability Bounds cites this paper.

Budgeted Act-or-Defer Multi-Agent LLM Deliberation with Local Reliability Bounds More Agents Is All You Need

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:04:21.984605Z

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 eff279e5-bcf0-45f7-8b81-fa9d4cfeda0c · inbound

Are Diversity Metrics Measuring Diversity? A Capability-Controlled Audit of Majority-Vote Gain in LLM Ensembles cites this paper.

Are Diversity Metrics Measuring Diversity? A Capability-Controlled Audit of Majority-Vote Gain in LLM Ensembles More Agents Is All You Need

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T09:29:50.304329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96692da9-1748-4c1d-a94c-54d0efe64354 · inbound

State-dependent error correlations shape voting thresholds in committees of AI agents cites this paper.

State-dependent error correlations shape voting thresholds in committees of AI agents More Agents Is All You Need

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:37.938757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.