Paper Citation Record · LEDGER

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2507.15788.

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

pith.paper-citation-record.v1
2507.15788 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:26:42.128580Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T17:42:38.122144Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:57:28.219193Z

Reference resolution

24 of 24 outbound references displayed

verified exact2
verified fuzzy0
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8f28327-824b-4bef-a666-a4a54e3e7f69 · outbound

This paper cites an unresolved cited work.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-08-06T15:26:42.185748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1266b3c4-f9f9-4b9f-adc5-e638084623e2 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:39.772695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1036b7b4-9e7c-4dc5-911d-4c16ed9ec821 · outbound

This paper cites Understanding Social Reasoning in Language Models with Language Models.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Understanding Social Reasoning in Language Models with Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:39.871666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50f9f220-21c6-416f-ba66-10950a797d98 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:39.992368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aed2f5a8-7297-4374-ac2f-20f013621a3b · outbound

This paper cites an unresolved cited work.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:40.154341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e1dbb0e-a190-4d4b-b6bb-4a1d5eb046ee · outbound

This paper cites Evaluating Large Language Models in Theory of Mind Tasks.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Evaluating Large Language Models in Theory of Mind Tasks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:40.278651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4633569d-2835-40d6-a3c2-a03082a308e6 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:40.426349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96a35b91-4428-4388-bdb4-5174da70c734 · outbound

This paper cites an unresolved cited work.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:40.526455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 007e2f8e-39e2-475c-8829-2f9866b79efa · outbound

This paper cites Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?.

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 cc647f6b-0f7c-41b7-bbc8-412662dd788c · outbound

This paper cites Training language models to follow instructions with human feedback.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Training language models to follow instructions with human feedback

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:40.766509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21b2a006-8d70-423c-b673-5d7f54e56a55 · outbound

This paper cites an unresolved cited work.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:40.875592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b57c805-5331-46eb-bbda-e90ebd9232be · outbound

This paper cites an unresolved cited work.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:26:42.305311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e34b3763-d21e-407d-bba4-35096ec82087 · outbound

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

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Decompose-ToM: Enhancing Theory of Mind Reasoning in Large Language Models through Simulation and Task Decomposition

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:26:42.220425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1f018110-6188-4648-a5d3-ab972d478bf2 · outbound

This paper cites an unresolved cited work.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:41.120715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cbe69e1-c50d-471d-b8ab-7ed36264d93d · outbound

This paper cites Explore Theory of Mind: Program-guided adversarial data generation for theory of mind reasoning.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Explore Theory of Mind: Program-guided adversarial data generation for theory of mind reasoning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:41.221542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e13adfdd-b3a5-4acc-8178-6319d8ade733 · outbound

This paper cites an unresolved cited work.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:41.350355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a76be41-bfcd-4bbe-906f-37f8621a2200 · outbound

This paper cites Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:41.514564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 922a93a1-2cda-4220-8252-7824287ecfff · outbound

This paper cites Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:41.639155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a0952fd-084b-4284-bb6d-29914603a735 · outbound

This paper cites an unresolved cited work.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:26:42.298530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f158a8bf-d79e-4c01-afe9-508d080014c8 · outbound

This paper cites an unresolved cited work.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:41.829173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e049ef-2111-462a-a260-beab818bf18a · outbound

This paper cites Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:41.957990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c78e948d-5acd-45a5-b72d-439dffeffdb8 · outbound

This paper cites an unresolved cited work.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:26:42.290762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d6c9a4e1-f7f4-4430-b86c-23dbe1170a8c · outbound

This paper cites online" 'onlinestring :=.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning online" 'onlinestring :=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:42.116273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6a913be-c6a1-4e59-9562-5535a4dbdd76 · outbound

This paper cites write newline.

Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning write newline

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:42.128580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 583dd564-c806-4896-918e-5b6e5914a115 · 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 Small LLMs Do Not Learn a Generalizable Theory of Mind via Reinforcement Learning

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:57:28.220541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.