Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.01698.
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 2026-08-06T15:26:40.632447Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T12:29:51.425966Z
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 007e2f8e-39e2-475c-8829-2f9866b79efa · inbound
Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning cites this paper.
Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:26:40.632447Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2660240-6b57-40f8-b57e-407c33583bf4 · 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 Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:57:42.634295Z
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 5707d8eb-d5e7-4ae7-87df-9bbbf4204a37 · inbound
MindZero: Learning Online Mental Reasoning With Zero Annotations cites this paper.
MindZero: Learning Online Mental Reasoning With Zero Annotations Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T19:56:10.613982Z
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 1c659c40-92f6-423f-9f5d-faa994f78379 · inbound
From Shortcuts to Reasoning: Robust Post-Training of Theory of Mind with Reinforcement Learning cites this paper.
From Shortcuts to Reasoning: Robust Post-Training of Theory of Mind with Reinforcement Learning Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?
Reference 96
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:57:28.191115Z
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 3b7e11e6-a7af-495a-b9d8-8357b08744c5 · inbound
Embodied Explainability and Ontological Obstacles: Why We Struggle to Explain the Answers of Large Language Models (LLMs) cites this paper.
Embodied Explainability and Ontological Obstacles: Why We Struggle to Explain the Answers of Large Language Models (LLMs) Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T12:29:51.427875Z
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.