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Paper Citation Record · LEDGER

Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.15498.

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

pith.paper-citation-record.v1
2403.15498 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:55:21.226782Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:46:26.352676Z

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 b86b0fd5-d3c7-4d0a-83af-ce31c2c8ed5a · inbound

Transformers Use Causal World Models in Maze-Solving Tasks cites this paper.

Transformers Use Causal World Models in Maze-Solving Tasks Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T14:35:02.260686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:35:02.260686Z digest=sha256:83faa8208dae305a646a1d662c3af780eca2c1dc9850c79fe531e9db6503e7bd

Observation b438307f-b87d-4a7d-96e5-c661847fed61 · inbound

Improving Reasoning Performance in Large Language Models via Representation Engineering cites this paper.

Improving Reasoning Performance in Large Language Models via Representation Engineering Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T05:55:21.226782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:55:21.226782Z digest=sha256:c1617274c749f6ead76a7c102a7be25bcdc881bca56506b462e6493ddc4fce8c

Observation 00205dca-834e-4186-9a7b-4b2ffd78de6f · inbound

Linear Spatial World Models Emerge in Large Language Models cites this paper.

Linear Spatial World Models Emerge in Large Language Models Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:25.897642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:25.897642Z digest=sha256:030aa54c4128df15b0eb4bb0ee6a16ae807bd1bc4452a6d64985cf7541054a08

Observation 6c537e7f-a4d4-4afd-88f2-31c7dc7847b3 · inbound

Why We Need World Models for AGI: Where LLMs Fail and How World Models May Outperform cites this paper.

Why We Need World Models for AGI: Where LLMs Fail and How World Models May Outperform Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:46.623674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T21:36:44.033596Z digest=sha256:f70186891b00a91674b9ca31d17bd1f64763b680e66f0ba59e4e5b5591e74a08

Observation 9ce8404c-3ddc-45c3-be9a-f50363131dc5 · inbound

A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners cites this paper.

A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:46:26.354342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T11:36:14.896698Z digest=sha256:5a825ce6bf949f7c7c0f7e8205ac44135c01eaa33e8f74c6799a2f50575a2852

Observation 344eb695-4da3-4725-accf-b0098e51cd47 · inbound

One mechanism for many mental spaces: a shared router over a value slot in language models cites this paper.

One mechanism for many mental spaces: a shared router over a value slot in language models Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-14T13:13:40.183633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T13:13:40.183633Z digest=sha256:5b7f817e4c8a7e8d5c093e979a47de412ee8014e687054d48c99ef764083e9cf

Observation 76b73e53-e914-4148-a2a8-efa14dc20bc5 · inbound

One mechanism for many mental spaces: a shared router over a value slot in language models cites this paper.

One mechanism for many mental spaces: a shared router over a value slot in language models Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T07:26:55.144740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:26:55.144740Z digest=sha256:cc9345f746647a19065ee8dd15744d1f98392092556217e488f07d9cfbcd601c

Observation 604df13b-7042-4a51-ac75-f162e818aef3 · inbound

Three-Body Alignment: Aligning Chess Agent with Human Reasoning through Reranked Rationale cites this paper.

Three-Body Alignment: Aligning Chess Agent with Human Reasoning through Reranked Rationale Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T06:10:10.205931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:10:10.205931Z digest=sha256:cfa7be52012378dd0d5c26dd25e4b6e48be34ced52d5bf243c4dee9f1d1c784b