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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T05:42:57.561468Z digest=sha256:7d26250f5e9548fd6d88fd3d956268bf3b638c368809ac0d187e231b43b5e40e

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=sha256:6561e418c4e069986088ebae24f5642488ede95107a94a2a5a96da97a2ef3ab1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T11:57:08.314088Z digest=sha256:515d7f6d20e3d464dee6b6e50909232467ba14c078649cf5e3805c57b18eed63

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=sha256:40f94e2653082d9564e2becf801c096e8bb03a25c5935caa788bac56a685087a

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=sha256:04f187392e854ab1798396c4cc5aac70357bedff2c2fd75222a9a54cf1610036

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=sha256:2d002de58cbd6c902b8ac6fd36bcb581038b86019ba537226b464ace1d64c7a2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T23:13:15.016486Z digest=sha256:15e03015d6eb42ef2fa60429a90b8f2b0763ee919d3a8a2a34938fbb0eea70e1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T14:29:53.295960Z digest=sha256:8711d0f99c5c7a19f633c27021ddb93d2af372e330a6d81d30be4260c37b5094

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T15:43:19.764483Z digest=sha256:443c1556cde8f6c739e74479ebbc252ac92cbc0e32ebcd3d7606b1d5e650113d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T17:30:12.165074Z digest=sha256:a0de1e399cffe3b61d74e7ad8cef459335fbf698a8ca1041ca0005a2fd9c8031

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:0f416a58312f647f37d5bcf105cdb9fc636db1aab25fbacdb6a6c0bb7da320b3