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Paper Citation Record · LEDGER

Large Model Strategic Thinking, Small Model Efficiency: Transferring Theory of Mind in Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.05241.

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

pith.paper-citation-record.v1
2408.05241 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:51:29.750191Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T11:55:50.994536Z

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 9df13702-ebcd-4719-9249-9936444c7a96 · inbound

Small Language Models are the Future of Agentic AI cites this paper.

Small Language Models are the Future of Agentic AI Large Model Strategic Thinking, Small Model Efficiency: Transferring Theory of Mind in Large Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:55:50.997417Z

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.

source=pdf_text observed=2026-05-16T11:55:50.897500Z digest=sha256:259e2d52a33a3465882ceb4f338390f2d8aaa0fbd29d0b94bbaec2108755b430

Observation 765b9280-bfab-4bfe-85e9-611b3d5d07a9 · 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 Large Model Strategic Thinking, Small Model Efficiency: Transferring Theory of Mind in Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T04:51:29.750191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:51:29.750191Z digest=sha256:c54a5dc15020363b5d0cbaf753964dc3c13e6b7747a5ebe2bc36d205c643b2b5

Observation 33ebb050-394e-4dec-92a1-c6fb30297b48 · 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 Large Model Strategic Thinking, Small Model Efficiency: Transferring Theory of Mind in Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T00:28:24.942418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:28:24.942418Z digest=sha256:292b53493a7651b8635a3050f16896ec1fac2874236922ea060fa66dcb00b8a1

Observation ac8d4756-d817-4658-8a99-c4d3fd2ea4b4 · inbound

Strategy, Not Payoffs: A Behavioural Embedding of Normal-Form Games cites this paper.

Strategy, Not Payoffs: A Behavioural Embedding of Normal-Form Games Large Model Strategic Thinking, Small Model Efficiency: Transferring Theory of Mind in Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T06:09:14.911996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:09:14.911996Z digest=sha256:00f20c216880eb68c57849cc421ae263aff3cbf0a14494394080029395d286b8