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Paper Citation Record · LEDGER

Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2502.11881.

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

pith.paper-citation-record.v1
2502.11881 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:24:53.639096Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:29:59.565385Z

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 0045d782-be6c-45c1-9ab3-e089c2082631 · inbound

Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly cites this paper.

Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T19:24:53.639096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:24:53.639096Z digest=sha256:f804f5a8fd9a8030322bed78cf7ef1865483fdf5ba9b03185a14aeff6178f25c

Observation 7bf1ab22-4296-4cde-98ee-751c81dbaa15 · inbound

Characterizing AI Manipulation Risks in Brazilian YouTube Climate Discourse cites this paper.

Characterizing AI Manipulation Risks in Brazilian YouTube Climate Discourse Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:55:30.997261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T23:54:14.469933Z digest=sha256:9fc0515d556ba71f2ca5a2d8aa26842d0e2cd28e2fec7cff7a3667699fa317f5

Observation 6abf8b6d-8aed-4aee-9200-c407c16be7ca · inbound

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond cites this paper.

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models

Reference 180

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:26:08.197083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-08T12:02:07.027775Z digest=sha256:2eb3a6d7fba1d46053096a5898e8052d74f84f78f131c84d4b9751d78684e216

Observation da4f7e92-41a3-4e21-ad34-371371c23ca2 · inbound

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond cites this paper.

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models

Reference 180

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:29:59.567015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-04T17:29:43.764085Z digest=sha256:7edef8b659c7bd32c6f89ee3187194ee802e2b3cdbab0c94f0b721ab12a674f6

Observation 2026ee3b-df5f-496a-bda8-179cd2860888 · 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 Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:57:42.620229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-19T17:55:04.458343Z digest=sha256:24e1266563537fb518892a01f928030a4d1f05e85996ed607c3f94f8ccfc2b0c

Observation a735b044-2723-4881-aec1-7847acefd68b · inbound

UserHarness: Harnessing User Minds for Stronger Agent Theory-of-Mind cites this paper.

UserHarness: Harnessing User Minds for Stronger Agent Theory-of-Mind Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:03:48.256973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T17:54:12.080046Z digest=sha256:f61f137e3e5389f354da65b7861b436b62d3998639ae1a5d7af6c9bca0a7dcf1

Observation 2250ae6e-3ad8-4486-83fc-1cf307174ba8 · inbound

Tool Use Enables Undetectable Steganography in Multi-Agent LLM Systems cites this paper.

Tool Use Enables Undetectable Steganography in Multi-Agent LLM Systems Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models

Reference 90

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T16:25:49.935442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-30T00:42:20.220668Z digest=sha256:ba534dc050644efdd8a80e17d4a288a1dc65e68a240fd41adc34840997a06984

Observation 82fee0db-d074-4246-b67d-87c558e2eb4f · 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 Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:15:44.728411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-01T05:40:54.002702Z digest=sha256:57e1e79d745072dbdb31d4d99780c3932f38d121d75b862721a30917fba87c4c

Observation 330a4106-d040-4af4-a0e6-a6715f2edb17 · inbound

Zing: Social Mind for LLMs cites this paper.

Zing: Social Mind for LLMs Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-30T14:24:27.666215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:24:27.666215Z digest=sha256:e7567bc16b979715f16cf8c7c141ebb101ba3336375e92d9fc6e4252e68e98e8