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Paper Citation Record · LEDGER

LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2310.03903.

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

pith.paper-citation-record.v1
2310.03903 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:21:09.722172Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

132
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5fd00d40-91c8-4e84-a229-a570db94bb0b · inbound

Why Do Multi-Agent LLM Systems Fail? cites this paper.

Why Do Multi-Agent LLM Systems Fail? LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:42:58.424334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T05:42:57.561468Z digest=sha256:a0f5ea13c1da9fb69cb86c6bf0caf625fe95164eab32d25ca9c75db7248c2b1e

Observation f4c6d04b-e8cb-482c-b2bf-3f24d3f91e52 · inbound

Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and Guidance cites this paper.

Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and Guidance LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 1

Resolution
malformed identifier
no resolver link, observed 2026-08-07T14:21:09.722172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:21:09.722172Z digest=sha256:b44b1737acb355f9b5eabdbc43d56cbd5357833e45960133286be3abe4e3e97d

Observation c04b9800-7b2a-4e15-984b-456681326636 · inbound

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments cites this paper.

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:57:16.325946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T11:57:08.314088Z digest=sha256:2371634614941445d386e561deb7dddb0b07fb1ed11e660782a4a6f0b3e6e4cd

Observation c31e6055-910f-4577-b222-b8691efe2e3e · inbound

TextAtari: 100K Frames Game Playing with Language Agents cites this paper.

TextAtari: 100K Frames Game Playing with Language Agents LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.920505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.920505Z digest=sha256:d239795b322b269e30cec1759a3f18c696026123d9fc2e4f42fbfee38a9c4e9f

Observation 6dedb76a-69fc-4955-814c-be6822890594 · inbound

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

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T18:18:02.955739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:18:02.955739Z digest=sha256:58084c76d4ee8c5c4d538fe4727b4ece156547707ad4af720d8af4a9ac8a30f7

Observation ff296a67-bf30-4892-af19-249b7a649d7b · inbound

PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments cites this paper.

PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T23:58:44.296336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:58:44.296336Z digest=sha256:624e3b53e81a63915ad78ed67368d9f7850e4055f9ba5e9c4f2b1606a5be6aab

Observation fdafdb09-c28f-4224-9956-aaa33af2c120 · 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 LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 97

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T23:13:15.495925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T23:13:15.016486Z digest=sha256:baa43ab6488550d9ca27281e2a2e544e94817ead54c19d6aa9da371366564078

Observation 1ad79d03-982c-4f92-b0d2-da30914e7104 · inbound

When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems cites this paper.

When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:31:01.960282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T14:29:53.295960Z digest=sha256:de80bac50380ee973754e4aaaa93bd6a7b8b243785128bfa942484e22336965a

Observation 6472e050-a246-426d-b792-0bbae5c97bc1 · inbound

When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems cites this paper.

When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T10:33:37.232870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:33:37.232870Z digest=sha256:b67274b6d528d8ef4d36a02e0765583d395254271fe907bd8a2f4d894e158ee2

Observation 96952b11-e718-485b-a18f-a732ca510e58 · inbound

Tacit Coordination of Large Language Models cites this paper.

Tacit Coordination of Large Language Models LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T07:22:45.507977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:22:45.507977Z digest=sha256:13e87f49ff29c0240a280a42df5e6a1c257c0885024a1ac16f563b13b2e1311a

Observation 2c8b32eb-e3ed-405f-ac73-85a912a1652a · inbound

Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation cites this paper.

Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T23:58:40.773407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:58:40.773407Z digest=sha256:0322065bd0f0d96d9f1b87a5f809762e56cdd31ef1f2f3d53665b13f475f1c0d

Observation 63f27ed3-6099-401f-af5c-45509bd71a0a · inbound

Coordination as an Architectural Layer for LLM-Based Multi-Agent Systems cites this paper.

Coordination as an Architectural Layer for LLM-Based Multi-Agent Systems LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:36:10.190294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T15:43:19.764483Z digest=sha256:ce94badc06c58bf74991fe7015902ce81977d45dec812cbaa18a35a0d7bb2e50

Observation 4c9c8fdc-e003-4ec0-b92b-674e5de745e3 · inbound

A Note on the Strategic Confinement Problem cites this paper.

A Note on the Strategic Confinement Problem LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T17:31:06.782427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T17:30:12.165074Z digest=sha256:084a0b16b0fa8c1644ac3b2dd1eb87f8505133e73a0fd6d5f8724cbe59abd5a6

Observation 1f9259a0-76b1-4856-ab00-eb6a134c2ef6 · inbound

Learning social norms enhances compatibility in dynamic human-AI coordination cites this paper.

Learning social norms enhances compatibility in dynamic human-AI coordination LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-09T21:46:34.564871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:bdef2b865e45b244bac11e3f60bdeb03fca36e0b9b8cfe8907fc4569bc4c1be8