Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.09056.

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

pith.paper-citation-record.v1
2501.09056 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:51:30.303031Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:26:42.216629Z

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 59f0518a-42c8-4a7a-92d3-ab5beb91177e · 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 Decompose-ToM: Enhancing Theory of Mind Reasoning in Large Language Models through Simulation and Task Decomposition

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T04:51:30.303031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:51:30.303031Z digest=sha256:27ade2fb71511a3340a0892abb330548870ff589ee249d9262be120c09557414

Observation e34b3763-d21e-407d-bba4-35096ec82087 · 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 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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:26:41.077160Z digest=sha256:1a94e5e34d28f76f999a9cc9cef7307f5f1f3c8ab3c33d9e2632d4d6442c9361