Paper Citation Record · LEDGER

Theory of Mind for Multi-Agent Collaboration via Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2310.10701.

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

pith.paper-citation-record.v1
2310.10701 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:50:27.912446Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T00:22:51.783681Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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 945822ba-ee7d-4c24-9b1d-099446d87e71 · inbound

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios cites this paper.

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T21:58:46.624811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 079c816e-8b17-4e0f-a770-f00928891428 · inbound

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches cites this paper.

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 113

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:12.398599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8b33906-5f13-4b0c-acb1-ef29da2f2776 · inbound

Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey cites this paper.

Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T11:50:27.912446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e99cdcc-74d0-485c-a2aa-4f544463f61d · inbound

The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete cites this paper.

The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T23:45:04.915964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8cee73e-592f-4521-a4ff-edfa62e6e907 · inbound

Where You Go is Who You Are: Behavioral Theory-Guided LLMs for Inverse Reinforcement Learning cites this paper.

Where You Go is Who You Are: Behavioral Theory-Guided LLMs for Inverse Reinforcement Learning Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:15.448006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53d70317-cbd7-4854-a6df-03a57914247f · inbound

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models cites this paper.

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:11.951679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 833347cd-9d40-43e6-a463-252e243985fd · inbound

The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind cites this paper.

The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 17

Resolution: malformed identifier; no resolver link, observed 2026-08-06T22:49:38.986397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 419545f4-b6e3-4973-b56a-399322fb8fdb · inbound

Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning cites this paper.

Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T20:13:56.986612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73fc999f-4de5-4f52-8b41-2c4415639314 · inbound

Exploring a Gamified Personality Assessment Method through Interaction with LLM Agents Embodying Different Personalities cites this paper.

Exploring a Gamified Personality Assessment Method through Interaction with LLM Agents Embodying Different Personalities Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:37:07.648717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ead1e43d-b348-472a-92bc-f710f2473ade · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:40:51.452704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fbaf2f99-c969-4f29-8ae9-b2fe84055a7b · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 274

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:02:24.708506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bc36644f-fa34-4aa8-a66c-007b4d134524 · 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 Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 277

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:13:15.941657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d22c9ce0-b9db-4806-9149-ad3c673f8044 · inbound

Network Effects and Agreement Drift in LLM Debates cites this paper.

Network Effects and Agreement Drift in LLM Debates Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:46:07.925570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 183e38d5-c373-4013-a516-1df2b34c4cfa · 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 Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 119

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:51:03.939336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49993005-982f-493f-93dd-9e222d60cf13 · inbound

The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text cites this paper.

The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:06:28.265716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91623eb0-653c-444c-b065-53c45e6bf1f9 · inbound

CONCAT: Consensus- and Confidence-Driven Ad Hoc Teaming for Efficient LLM-Based Multi-Agent Systems cites this paper.

CONCAT: Consensus- and Confidence-Driven Ad Hoc Teaming for Efficient LLM-Based Multi-Agent Systems Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:22:51.785138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed7b7ea2-8f2a-4421-b3c0-e3fcddbb0d90 · 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 Theory of Mind for Multi-Agent Collaboration via Large Language Models

Reference 232

Resolution: unresolved; no resolver link, observed 2026-08-05T15:25:40.401242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.