Paper Citation Record · LEDGER

How FaR Are Large Language Models From Agents with Theory-of-Mind?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2310.03051.

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

pith.paper-citation-record.v1
2310.03051 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:18.893958Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:15:44.662724Z

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 cd648614-9116-4dbb-88fe-204213683584 · 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 How FaR Are Large Language Models From Agents with Theory-of-Mind?

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:18.893958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b12239ad-574f-4244-9384-76c7c31c72ad · inbound

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation cites this paper.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation How FaR Are Large Language Models From Agents with Theory-of-Mind?

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.826043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f8c7b11-1f9e-4f65-a046-f54dbed01f70 · inbound

From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models cites this paper.

From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models How FaR Are Large Language Models From Agents with Theory-of-Mind?

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T00:28:26.619534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8d7583d-87d7-4e0d-ba68-43a3c1f82028 · inbound

Effects of structure on reasoning in instance-level Self-Discover cites this paper.

Effects of structure on reasoning in instance-level Self-Discover How FaR Are Large Language Models From Agents with Theory-of-Mind?

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:51.545204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ae08942-3bb1-4a62-a831-6b7c980034e5 · 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 How FaR Are Large Language Models From Agents with Theory-of-Mind?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:13:58.039382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c362c1ec-5799-4b0b-8cea-7464bbd00fa1 · 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 How FaR Are Large Language Models From Agents with Theory-of-Mind?

Reference 165

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:40:51.155222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b1b4977-199f-49d2-a4d5-962188635093 · inbound

AVISE: Framework for Evaluating the Security of AI Systems cites this paper.

AVISE: Framework for Evaluating the Security of AI Systems How FaR Are Large Language Models From Agents with Theory-of-Mind?

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:24:47.398446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 852dfc17-f10b-46f0-accc-44b34464e0bf · inbound

EnactToM: An Evolving Benchmark for Functional Theory of Mind in Embodied Agents cites this paper.

EnactToM: An Evolving Benchmark for Functional Theory of Mind in Embodied Agents How FaR Are Large Language Models From Agents with Theory-of-Mind?

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:46:27.190291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 242d1737-b18c-4e88-9fc6-7b996db70cf3 · inbound

EnactToM: An Evolving Benchmark for Functional Theory of Mind in Embodied Agents cites this paper.

EnactToM: An Evolving Benchmark for Functional Theory of Mind in Embodied Agents How FaR Are Large Language Models From Agents with Theory-of-Mind?

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:29:12.845856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f03a164-458d-4573-a777-9dc195dfeb10 · inbound

Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations cites this paper.

Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations How FaR Are Large Language Models From Agents with Theory-of-Mind?

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T17:57:42.637819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e96b9715-a5d8-4cc5-ae04-25c44ca91523 · inbound

Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action cites this paper.

Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action How FaR Are Large Language Models From Agents with Theory-of-Mind?

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:15:44.664047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 60707440-d066-475d-a056-927bbaad469e · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex How FaR Are Large Language Models From Agents with Theory-of-Mind?

Reference 196

Resolution: unresolved; no resolver link, observed 2026-07-31T23:52:06.499239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.