Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Theory of Mind for Multi-Agent Collaboration via Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2310.10701.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:15.448006Z
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 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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.