Paper Citation Record · LEDGER

Boosting Theory-of-Mind Performance in Large Language Models via Prompting

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2304.11490.

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

pith.paper-citation-record.v1
2304.11490 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:54:48.803791Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T17:04:57.131416Z

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 0d3ef531-ba93-46ba-91d1-5f97d631f809 · inbound

Detecting Conversational Mental Manipulation with Intent-Aware Prompting cites this paper.

Detecting Conversational Mental Manipulation with Intent-Aware Prompting Boosting Theory-of-Mind Performance in Large Language Models via Prompting

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T17:54:48.803791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7ad671e-2d2d-471b-ab94-5418e1cc5cda · inbound

Decompose-ToM: Enhancing Theory of Mind Reasoning in Large Language Models through Simulation and Task Decomposition cites this paper.

Decompose-ToM: Enhancing Theory of Mind Reasoning in Large Language Models through Simulation and Task Decomposition Boosting Theory-of-Mind Performance in Large Language Models via Prompting

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:14:56.685637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84e9f66a-1fa7-4387-bf20-c8e67877590a · inbound

UniToMBench: Integrating Perspective-Taking to Improve Theory of Mind in LLMs cites this paper.

UniToMBench: Integrating Perspective-Taking to Improve Theory of Mind in LLMs Boosting Theory-of-Mind Performance in Large Language Models via Prompting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:51:29.889734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5d5e45a-2bbc-4965-b7b2-8e7f322cd1d3 · 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 Boosting Theory-of-Mind Performance in Large Language Models via Prompting

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:37:07.569794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 83f18d7e-b20b-4b7c-ab49-dc3efcde1251 · inbound

A Survey of Large Language Models for Perception and Measurement of Human Psychology cites this paper.

A Survey of Large Language Models for Perception and Measurement of Human Psychology Boosting Theory-of-Mind Performance in Large Language Models via Prompting

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:04:57.132994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation efccea86-c347-42b8-91c2-ef8d4f996171 · inbound

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension cites this paper.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Boosting Theory-of-Mind Performance in Large Language Models via Prompting

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T21:52:46.465888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.