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Paper Citation Record · LEDGER

Scaling Large Language Model-based Multi-Agent Collaboration

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 58 inbound Pith citation observations for arXiv:2406.07155.

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

pith.paper-citation-record.v1
2406.07155 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 58 of 58 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:04:43.345621Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T20:57:34.565736Z

Reference resolution

0 of 0 outbound references displayed

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  • 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 4e063a83-07e5-4631-811a-103139784ec3 · inbound

Automated Design of Agentic Systems cites this paper.

Automated Design of Agentic Systems Scaling Large Language Model-based Multi-Agent Collaboration

Reference 195

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arxiv_id, observed 2026-05-15T08:07:54.903860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-15T08:07:54.611771Z digest=sha256:fcf45d385e39bc69483f5b71db547c778108fd10352f00a1284d581ca7150310

Observation f6f98495-7fab-4ca6-be00-5ff63308038d · inbound

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents cites this paper.

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents Scaling Large Language Model-based Multi-Agent Collaboration

Reference 48

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no resolver link, observed 2026-08-11T22:18:29.703838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:18:29.703838Z digest=sha256:7265145afb082392a30988557720b9c4a4e63a1ffec31b825f1e4e2dec579b5c

Observation 7c7af22b-28b8-43c7-9260-a9c1424d6b41 · inbound

LLMs Can Simulate Standardized Patients via Agent Coevolution cites this paper.

LLMs Can Simulate Standardized Patients via Agent Coevolution Scaling Large Language Model-based Multi-Agent Collaboration

Reference 2022

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no resolver link, observed 2026-08-11T14:44:21.520154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:44:21.520154Z digest=sha256:0351e2e20f3ab237a2ec4d9bf51b754c696da6fc1966d2bbf98ce1c9b717192e

Observation 1d058dc3-56d3-4762-86aa-a321f520d7f9 · inbound

SYMPHONY: Improving Memory Management for LLM Inference Workloads cites this paper.

SYMPHONY: Improving Memory Management for LLM Inference Workloads Scaling Large Language Model-based Multi-Agent Collaboration

Reference 31

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no resolver link, observed 2026-08-11T10:39:11.645750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:39:11.645750Z digest=sha256:bd9ae5c99d6838f9fb5329032be05a73786c797f85dff682a61b4b212857731e

Observation 08743a7f-314e-49d4-b35d-8b88142b1714 · inbound

A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application cites this paper.

A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application Scaling Large Language Model-based Multi-Agent Collaboration

Reference 58

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no resolver link, observed 2026-08-11T05:29:24.555898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:29:24.555898Z digest=sha256:bac7f57622955b9e630375abea2b891341e9c6556fec2729beb1e31675390c97

Observation cc82050f-3e62-4cc6-bd5c-2a17351cecc1 · inbound

Flow: Modularized Agentic Workflow Automation cites this paper.

Flow: Modularized Agentic Workflow Automation Scaling Large Language Model-based Multi-Agent Collaboration

Reference 16

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no resolver link, observed 2026-08-10T20:37:40.413897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:37:40.413897Z digest=sha256:5080f9a838d1c6f2f48fac5d0e06ba5fb0a4d11e1a24f1f134a59a6db2053bb5

Observation 64b9bffb-2e44-4a29-9ca4-685fe772b8e2 · inbound

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning cites this paper.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Scaling Large Language Model-based Multi-Agent Collaboration

Reference 33

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no resolver link, observed 2026-08-10T19:29:51.398532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.398532Z digest=sha256:cc07321609f812263002ac176e7542c79261759d74d4cd3a27efe31b966d4f40

Observation 9a6f0698-3e75-4ef9-aa55-778ed35eb873 · inbound

Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneity cites this paper.

Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneity Scaling Large Language Model-based Multi-Agent Collaboration

Reference 35

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no resolver link, observed 2026-08-07T23:44:11.285875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:44:11.285875Z digest=sha256:cab14476cc07d09e31e90a338dbb90618b4e45e55c43646fbb60d16164ac4b29

Observation 397b354b-bcfc-42e0-a65e-f567584cbd13 · inbound

Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency cites this paper.

Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency Scaling Large Language Model-based Multi-Agent Collaboration

Reference 18

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no resolver link, observed 2026-08-16T01:04:43.345621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:43.345621Z digest=sha256:ea10b4fe1cd275f66e340ebe579b45f871bfee1fdfd1437e930440abe573e2c2

Observation 02dd799e-f40b-42c7-98ec-665ffb35562b · inbound

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming cites this paper.

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming Scaling Large Language Model-based Multi-Agent Collaboration

Reference 20

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no resolver link, observed 2026-08-07T13:00:08.460220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:00:08.460220Z digest=sha256:41d286071ebe5d6fcd57abf3f2b2726f2b59c30f01f17f99baa513c40b4739d1

Observation 30b3bc0a-0d7c-4f1e-beb5-e3336b167087 · inbound

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

An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring Scaling Large Language Model-based Multi-Agent Collaboration

Reference 27

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no resolver link, observed 2026-08-07T12:35:45.609031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:45.609031Z digest=sha256:6667c485fda946520c2828483e2ac741cc0da70f70e4184e29514179670e8ce6

Observation 46d18bc3-19de-430f-8fe0-6b452a4a6a73 · inbound

Adaptive Graph Pruning for Multi-Agent Communication cites this paper.

Adaptive Graph Pruning for Multi-Agent Communication Scaling Large Language Model-based Multi-Agent Collaboration

Reference 28

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no resolver link, observed 2026-08-07T11:18:44.814064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:44.814064Z digest=sha256:7b611b856d62f25de06701fa4d6c5de2de57f9bb52a0d8d23a22a32071408dbb

Observation 38a7c79d-27cb-40b8-ac05-01c48e7ba905 · inbound

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems cites this paper.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Scaling Large Language Model-based Multi-Agent Collaboration

Reference 47

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no resolver link, observed 2026-08-07T05:39:58.926732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.926732Z digest=sha256:171c46f6309b2fb45fe176e529e45addd733a9c472d3780f2a21014ab3154ddc

Observation a8ec7dad-02f7-4f58-b7b4-e443619600e0 · inbound

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search cites this paper.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Scaling Large Language Model-based Multi-Agent Collaboration

Reference 195

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no resolver link, observed 2026-08-07T05:07:40.309901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:07:40.309901Z digest=sha256:a481e88ac93980dd33b91591f728656535c870df4825ef47df52679f000e5878

Observation da5974b3-9768-4fee-8861-ab9ed33e2b0b · inbound

Rethinking the Illusion of Thinking cites this paper.

Rethinking the Illusion of Thinking Scaling Large Language Model-based Multi-Agent Collaboration

Reference 21

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no resolver link, observed 2026-08-06T21:03:40.135848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:03:40.135848Z digest=sha256:5ae44208db483cdeed12a7512da8c336d1fb16c6a5c88e7dd8850b9255abb989

Observation 35cf925a-c8d6-4eaa-9137-6e478b0d1268 · inbound

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs cites this paper.

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs Scaling Large Language Model-based Multi-Agent Collaboration

Reference 38

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no resolver link, observed 2026-08-06T18:18:06.578810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:18:06.578810Z digest=sha256:d59b2797b98940b1ad2e4d47af8cec4b73c9420367d205bb722a60acd97cb543

Observation e7adc9e1-e33e-4b3b-9b9e-24354440d12d · inbound

Think Like an Engineer: A Neuro-Symbolic Collaboration Agent for Generative Software Requirements Elicitation and Self-Review cites this paper.

Think Like an Engineer: A Neuro-Symbolic Collaboration Agent for Generative Software Requirements Elicitation and Self-Review Scaling Large Language Model-based Multi-Agent Collaboration

Reference 41

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no resolver link, observed 2026-08-06T15:48:36.258671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:48:36.258671Z digest=sha256:bf3afebc2a32f0d817783d95025b6dea90d83a920b28c8cacb6b7cb52f3b1a8a

Observation bb057ef9-2cdc-41d5-91f1-af1b4c0088f1 · inbound

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining cites this paper.

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining Scaling Large Language Model-based Multi-Agent Collaboration

Reference 17

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no resolver link, observed 2026-08-06T15:28:35.942566Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:35.942566Z digest=sha256:2a62c2f63f81ccfa4b32e183f875cb79e1741e3b86a91beb4d38c68096d9dc42

Observation 51818bca-391b-4fb8-bed8-0a132205ad25 · inbound

How Far Are AI Scientists from Changing the World? cites this paper.

How Far Are AI Scientists from Changing the World? Scaling Large Language Model-based Multi-Agent Collaboration

Reference 134

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no resolver link, observed 2026-08-06T10:55:14.966836Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:55:14.966836Z digest=sha256:8a3924dcdcf91adddd65a532eeb192ce987a88b62b8538763bd1f6f0b1f7ec71

Observation 07bd700f-342d-47c1-87d1-8e3f97cbcf41 · inbound

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution cites this paper.

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution Scaling Large Language Model-based Multi-Agent Collaboration

Reference 31

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no resolver link, observed 2026-08-06T10:55:23.844439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:55:23.844439Z digest=sha256:0580a7a3916ec9f05fb4cb696be26f792b8720b18ca0e7d7f6a2513945dfb034

Observation 47eac6f5-16c5-41df-89b7-5e4f098dc95b · inbound

An Auditable Agent Platform For Automated Molecular Optimisation cites this paper.

An Auditable Agent Platform For Automated Molecular Optimisation Scaling Large Language Model-based Multi-Agent Collaboration

Reference 60

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no resolver link, observed 2026-08-06T04:32:30.338018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:32:30.338018Z digest=sha256:e2c117620b5b7418552ac46cbb9a27b88d853a58d9f895ce3a09799cc9e8f47a

Observation 06be6b13-7064-4031-a3d4-bdeaa78d4599 · inbound

BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web cites this paper.

BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web Scaling Large Language Model-based Multi-Agent Collaboration

Reference 68

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no resolver link, observed 2026-08-05T18:55:33.644816Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:55:33.644816Z digest=sha256:bdad765e068e3ace2d02b0cd3835ed7ff80db1fdb30e2527ab78ad01c0791549

Observation 27e484de-8dc5-496e-b916-491477266802 · inbound

Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models cites this paper.

Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models Scaling Large Language Model-based Multi-Agent Collaboration

Reference 22

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verified exact
arxiv_id, observed 2026-05-21T20:40:35.663788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T20:40:13.721163Z digest=sha256:f00e4f99e94ed2e16da5a676c6427d3f77b39433ffb24039055c59a4b2fb1fe5

Observation c49e4416-ce9b-4b07-b645-740a053da911 · inbound

SIGMA: Search-Augmented On-Demand Knowledge Integration for Agentic Mathematical Reasoning cites this paper.

SIGMA: Search-Augmented On-Demand Knowledge Integration for Agentic Mathematical Reasoning Scaling Large Language Model-based Multi-Agent Collaboration

Reference 10

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no resolver link, observed 2026-08-04T06:57:15.395204Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:57:15.395204Z digest=sha256:f9f7fc6162911535af89d4cd756eaf8169bd8deb525eed09c84399f2642082ff

Observation fed071f6-22fb-4622-b053-12152a4ac549 · inbound

Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration cites this paper.

Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration Scaling Large Language Model-based Multi-Agent Collaboration

Reference 26

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source=arxiv_source observed=2026-08-04T00:16:18.617958Z digest=sha256:4c71af86600a15fcfe223ae92063777f366bb645d333bf850b4de93a50b7df9d

Observation c5564d55-916c-4334-a9ff-7bea1cefe3f7 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory Scaling Large Language Model-based Multi-Agent Collaboration

Reference 59

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metadata mismatch
arxiv_id, observed 2026-05-14T23:13:16.186511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-14T23:13:15.016486Z digest=sha256:3f378a83c917ae40a87de96f772ae460debaebcafd95b40191e6507368e8f42f

Observation a3721442-972d-4a4a-8ec4-94e8bfb6be61 · inbound

SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams cites this paper.

SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams Scaling Large Language Model-based Multi-Agent Collaboration

Reference 2022

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no resolver link, observed 2026-08-03T10:39:49.856835Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:39:49.856835Z digest=sha256:0a36eca0f71be670d8a3fd4e3c8ad967f48ccf40ce4b0c551c567bfe4e045e7a

Observation 19c19a19-f081-4ce8-b363-75da2db9b538 · inbound

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

Toward Efficient Agents: Memory, Tool learning, and Planning Scaling Large Language Model-based Multi-Agent Collaboration

Reference 91

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no resolver link, observed 2026-08-03T09:21:40.335251Z

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source=pdf_text observed=2026-08-03T09:21:40.335251Z digest=sha256:e32f31bede17661c56871a439013ff03315d723f9645941deda55cf227fed8ee

Observation 2233a5d5-cfed-4c81-bc4a-150520ad661c · 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 Scaling Large Language Model-based Multi-Agent Collaboration

Reference 31

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T22:25:15.261445Z digest=sha256:650968dc1c454864a0883e37396e0b0f498ae3e480ef0778c41554c2309c9f61

Observation 4fd790ff-6fc4-4259-9496-b4f5d2729899 · inbound

Effective Strategies for Asynchronous Software Engineering Agents cites this paper.

Effective Strategies for Asynchronous Software Engineering Agents Scaling Large Language Model-based Multi-Agent Collaboration

Reference 17

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T20:49:09.477849Z digest=sha256:fd265a3fad8c3ec819b064395b27fd6b3f4e7a2dd87da92d17a2228d0aa8ddd6

Observation c55c5576-8e52-4780-86ef-a811c5d96185 · inbound

Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic Web cites this paper.

Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic Web Scaling Large Language Model-based Multi-Agent Collaboration

Reference 21

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metadata mismatch
arxiv_id, observed 2026-05-16T13:20:57.944846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T13:19:07.715653Z digest=sha256:fade9e95efc47148e3dba3f637bfe0811a04253ee1d85dacbcafa520ae0ecb99

Observation f60681d0-3353-46c5-8345-00e23a5892ca · inbound

Do Agent Societies Develop Intellectual Elites? The Hidden Power Laws of Collective Cognition in LLM Multi-Agent Systems cites this paper.

Do Agent Societies Develop Intellectual Elites? The Hidden Power Laws of Collective Cognition in LLM Multi-Agent Systems Scaling Large Language Model-based Multi-Agent Collaboration

Reference 51

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metadata mismatch
arxiv_id, observed 2026-05-13T19:13:09.680226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T19:11:52.387623Z digest=sha256:418ab29b65a1b5db6e1ee7d3aa38367f91d61d06f7495fce2696c860a61db0df

Observation 7235fedb-02ae-4a49-94e5-11bd176e646d · 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 Scaling Large Language Model-based Multi-Agent Collaboration

Reference 9

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verified exact
arxiv_id, observed 2026-05-14T22:43:12.041790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T22:42:43.070265Z digest=sha256:7c43dcc0ead82087d7484a1b1015743b8453171420f364cdaadd42134b44c579

Observation 6573d4d2-0203-49f2-8b72-c589dfdca1cf · inbound

WebMAC: A Multi-Agent Collaborative Framework for Scenario Testing of Web Systems cites this paper.

WebMAC: A Multi-Agent Collaborative Framework for Scenario Testing of Web Systems Scaling Large Language Model-based Multi-Agent Collaboration

Reference 10

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metadata mismatch
arxiv_id, observed 2026-05-10T13:45:28.433460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T13:41:03.668751Z digest=sha256:082b783ab1199cb509edfb2309f8b08713dd17fde5762bb5f28a7555b68e0a05

Observation fc8291d5-b970-45bf-9cbd-295be8b71da0 · inbound

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology cites this paper.

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology Scaling Large Language Model-based Multi-Agent Collaboration

Reference 34

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metadata mismatch
arxiv_id, observed 2026-05-10T05:25:55.043016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T05:23:34.996713Z digest=sha256:981fc293ede7b019a43a478b234254e4591e81d5cb472912a9802afeef932c33

Observation f522d69b-d639-4c71-93c3-b10a566da070 · inbound

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures cites this paper.

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures Scaling Large Language Model-based Multi-Agent Collaboration

Reference 117

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metadata mismatch
arxiv_id, observed 2026-05-11T11:51:03.946358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T04:31:28.242097Z digest=sha256:9c9b23568c0538db96b593a999f1f1057a27a3559f13e3d9e5ac10f4549dc1ff

Observation f9629207-420d-46d4-873e-ed414636b977 · inbound

Complete Cyclic Subtask Graphs for Tool-Using LLM Agents: Flexibility, Cost, and Bottlenecks in Long-Horizon Workflows cites this paper.

Complete Cyclic Subtask Graphs for Tool-Using LLM Agents: Flexibility, Cost, and Bottlenecks in Long-Horizon Workflows Scaling Large Language Model-based Multi-Agent Collaboration

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T07:06:52.847724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T07:05:43.392997Z digest=sha256:0acd43f142ae518836329c0ab7b93f5d5e41ff513b8e33c857dbdcc1b6ae0c05

Observation 5acabaf1-d28f-4917-b30f-13ace2f06254 · inbound

Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and Extraction cites this paper.

Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and Extraction Scaling Large Language Model-based Multi-Agent Collaboration

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:46:25.942136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-07T09:35:14.203293Z digest=sha256:8652374db3b9a09bfdc9d026b0423befe4e7a0beeb24f03e6c070df827e1bad3

Observation 20f03ba7-0e7b-4343-968a-8ed481e7940a · inbound

From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework cites this paper.

From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework Scaling Large Language Model-based Multi-Agent Collaboration

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:16:06.885693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-09T20:26:09.112189Z digest=sha256:fdc702d91adc89c8e60385797abb2cb2a3efd34fde4746c1199aa76dca238808

Observation e6b02058-fe45-408f-aed5-b6325655bfe5 · inbound

Robust Multi-Agent LLMs under Byzantine Faults cites this paper.

Robust Multi-Agent LLMs under Byzantine Faults Scaling Large Language Model-based Multi-Agent Collaboration

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:42:07.162864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-12T02:11:34.028189Z digest=sha256:64ea09914744845610641c794bb01807d7cd32deb90736034cae7d65e439f5dc

Observation f4c9072a-8d9f-40d6-872e-927b173e6d00 · 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 Scaling Large Language Model-based Multi-Agent Collaboration

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:56:25.973559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T04:47:29.903343Z digest=sha256:3ff61dd4e106b1dd5e9691f09860c9a2d12068de9cd409d8eac453858decdba5

Observation f9197c41-5a36-4223-b2ec-7e4bd8e4d5a0 · inbound

MOTOR-Bench: A Real-world Dataset and Multi-agent Framework for Zero-shot Human Mental State Understanding cites this paper.

MOTOR-Bench: A Real-world Dataset and Multi-agent Framework for Zero-shot Human Mental State Understanding Scaling Large Language Model-based Multi-Agent Collaboration

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:51:17.674665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T02:50:10.046572Z digest=sha256:f57b0a0bc53a47874ea4c4729e4fd7bcfc872d81b32d41fd81c8b683e3c55529

Observation 0ed3ecae-687b-45da-9bd1-976a8068aaca · inbound

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning cites this paper.

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning Scaling Large Language Model-based Multi-Agent Collaboration

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:19:27.944993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:16:30.070819Z digest=sha256:fa79d1a65befcb98cd788751615685c7b3157de73c6284791045412ae2555dbd

Observation 69a9abeb-c119-440d-a03a-5d994b23be79 · inbound

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models cites this paper.

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models Scaling Large Language Model-based Multi-Agent Collaboration

Reference 93

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T19:53:42.238549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T19:53:04.689519Z digest=sha256:21d91ffc8c3e9470f6463b8d5dae01064e07073f0f70cb187a94c4571eb4b9bd

Observation d3387b6e-daf9-4ae6-b9a8-856aeb879b66 · inbound

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models cites this paper.

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models Scaling Large Language Model-based Multi-Agent Collaboration

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T19:45:00.802879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-30T19:40:41.219923Z digest=sha256:7e30bf175bacd18c7a75a7380e5c3575f584649992467c86c691debf8e4aaefa

Observation c2b47912-12c8-4ef5-b711-c5dc5ce559b2 · inbound

MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer cites this paper.

MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer Scaling Large Language Model-based Multi-Agent Collaboration

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T14:38:21.606663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T14:35:46.376752Z digest=sha256:b3382669551038dc951f1b0ba459cfe722cb4c9fd3e03289feb699984bb79846

Observation 0e6e8f10-57d7-4fef-8a8d-41073c315d93 · inbound

MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer cites this paper.

MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer Scaling Large Language Model-based Multi-Agent Collaboration

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-12T16:38:30.296706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:38:30.296706Z digest=sha256:733b680083fd4cc22a8e522f20344a01bb236bdb8a56b528fff1d8c869f456b0

Observation 1ed68421-5564-4ca7-99ef-c8c1559420c3 · inbound

ATOM: Instantiating Budget-Controllable Multi-Agent Collaboration via Nucleus-Electron Hierarchy cites this paper.

ATOM: Instantiating Budget-Controllable Multi-Agent Collaboration via Nucleus-Electron Hierarchy Scaling Large Language Model-based Multi-Agent Collaboration

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-29T20:03:56.334963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T19:56:56.170263Z digest=sha256:32d6c5947750ed74e84a9b40fe7c4bfe616f426c6348eb54a0455105b88d4dea

Observation 0af2df90-8a61-4c91-b6a8-ce4db4d8c698 · inbound

Towards Cybersecurity SuperIntelligence (CSI): What's the best harness for cybersecurity? cites this paper.

Towards Cybersecurity SuperIntelligence (CSI): What's the best harness for cybersecurity? Scaling Large Language Model-based Multi-Agent Collaboration

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T12:03:23.962454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T12:00:05.330178Z digest=sha256:29f4c9ec275b4b791b5fb1710259f8855ff63437571eed369be5887e36697bec

Observation b3b1ab5c-e5f3-438d-80eb-1fc93b952a0c · inbound

DECIS: Dual-Evidence Corrective Verification for Interpretable Strabismus Diagnostic Decision-Making cites this paper.

DECIS: Dual-Evidence Corrective Verification for Interpretable Strabismus Diagnostic Decision-Making Scaling Large Language Model-based Multi-Agent Collaboration

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T00:17:29.424011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T17:19:01.305646Z digest=sha256:6fab7bde7024fa94589c5aaff17ee66cf421e7bf0765c0ff2add6685f52f84c1

Observation 32e07ab8-b4e4-4d19-b80c-a261a1bcc944 · inbound

DECIS: Dual-Evidence Corrective Verification for Interpretable Strabismus Diagnostic Decision-Making cites this paper.

DECIS: Dual-Evidence Corrective Verification for Interpretable Strabismus Diagnostic Decision-Making Scaling Large Language Model-based Multi-Agent Collaboration

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T12:01:45.934121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:01:45.934121Z digest=sha256:1f46e9aa3c31369ebf33f03570ba418220bb6a8c37982f5890fbd74d699051de

Observation 3354a8a0-5a43-4425-97f7-3c905c5b310a · inbound

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents cites this paper.

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents Scaling Large Language Model-based Multi-Agent Collaboration

Reference 128

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:39:42.741221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T11:06:28.690956Z digest=sha256:558ab185960c3f3808e867baa849973ab4f4977ae4c751c59231fbf7d9d11b2a

Observation 6bfcbace-c70b-442f-a65c-aed5ad95e5ba · inbound

When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems cites this paper.

When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems Scaling Large Language Model-based Multi-Agent Collaboration

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T20:57:34.580097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-10T20:55:21.031591Z digest=sha256:9d1741db31f5b5dd72e9ae97c0892bf8ee0b9f21ddc2933eba36fb808b4fb530

Observation 4f0136b4-0226-42dc-ba88-fd25d2051414 · inbound

Accelerating Heterogeneous Agent Collaboration in Dynamic Edge Networks cites this paper.

Accelerating Heterogeneous Agent Collaboration in Dynamic Edge Networks Scaling Large Language Model-based Multi-Agent Collaboration

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T15:18:55.095252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:18:55.095252Z digest=sha256:3601855bd5841da7c34d4f994e12405b87dafe959e4ffe2087f4b7ef058ec7cf

Observation b1c600ea-2531-4de9-985c-a6ce2037ffbd · inbound

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis cites this paper.

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Scaling Large Language Model-based Multi-Agent Collaboration

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-31T22:43:12.101642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T22:43:12.101642Z digest=sha256:9476c9278daf8536af420feb64ac2e1fbef3edc28483c6519fbfe6f67ffe2085

Observation 725ad8b3-3b17-48e2-aa33-3a8c620eb862 · inbound

Width, Memory, and Delay: A Resource Accounting for the Limits of Flat Multi-Agent Systems cites this paper.

Width, Memory, and Delay: A Resource Accounting for the Limits of Flat Multi-Agent Systems Scaling Large Language Model-based Multi-Agent Collaboration

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T01:44:54.330656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:44:54.330656Z digest=sha256:092a709aa3595ceeb693d231af3f67ff9f6d2cacf663ed0c757873e74f29f8e0

Observation 52f967cd-96c9-4aea-8096-ef153b775d10 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details Scaling Large Language Model-based Multi-Agent Collaboration

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T15:25:39.458818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:25:39.458818Z digest=sha256:71e5550e769e0aea5dff2b0c8d3a63c06ec5ce871bdb96d2ad1dfc3b17657a37

Observation 255e9042-f7e0-4909-a017-237f1d3efea9 · inbound

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts cites this paper.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Scaling Large Language Model-based Multi-Agent Collaboration

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T14:31:57.734487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:31:57.734487Z digest=sha256:dec57f52889bd69dc370f2317cdd95062a24d518d93058a82d9722eaf838ee5e