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Paper Citation Record · LEDGER

Learning to Model the World with Language

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.01399.

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

pith.paper-citation-record.v1
2308.01399 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T19:25:10.088605Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:50:00.037807Z

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 79648447-9316-4c6d-8415-8b1312863199 · inbound

GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation cites this paper.

GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation Learning to Model the World with Language

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:50:29.242152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T07:48:33.832017Z digest=sha256:b01db76586092ce1493061b5626c62df0fe6994f6a7387f8126f89a228e77d10

Observation 85818e84-d373-48dc-9f25-869232ac4675 · inbound

Audio-Visual World Models: Learning Physically Grounded Multisensory Dynamics cites this paper.

Audio-Visual World Models: Learning Physically Grounded Multisensory Dynamics Learning to Model the World with Language

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T19:25:10.088605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:25:10.088605Z digest=sha256:a727c2e4ce14c9fd07f05e0d4a6df5a0f0f3291c328d9bca642a0d133fce8a94

Observation 25052069-fbf5-4152-bd0f-67b4ac81ab5e · inbound

YoCausal: How Far is Video Generation from World Model? A Causality Perspective cites this paper.

YoCausal: How Far is Video Generation from World Model? A Causality Perspective Learning to Model the World with Language

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:33:15.593963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T08:27:03.674229Z digest=sha256:7316c9a891236331089ba857da9b6a57f1c8c4e9adef457f82c996370f05ebd2

Observation 4715e426-e97d-4d46-9c3c-810b4f8ce6d4 · inbound

LaGO: Latent Action Guidance for Online Reinforcement Learning cites this paper.

LaGO: Latent Action Guidance for Online Reinforcement Learning Learning to Model the World with Language

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T17:50:00.039832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-25T23:26:55.307583Z digest=sha256:7ff6fdfe0629ae8d96761f8c4fda70cdf13745b2fd275d0b386102f9b20304db

Observation 16e4ac72-f4a7-48f1-8c3b-aaabf3371684 · inbound

Evaluating LLMs as Interpretable Controllers for Dynamical Systems cites this paper.

Evaluating LLMs as Interpretable Controllers for Dynamical Systems Learning to Model the World with Language

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T11:18:26.866597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:18:26.866597Z digest=sha256:8c9b5ca00bc9963c6e8567f6cde9ba011d40e90fe07d1f6ee72fbb01116c4af4

Observation f8090b96-6325-471f-b8ef-8f903d7608ae · inbound

LabRobFail: A Benchmark for Robotic Failure Analysis in Chemical Self-driving Laboratory cites this paper.

LabRobFail: A Benchmark for Robotic Failure Analysis in Chemical Self-driving Laboratory Learning to Model the World with Language

Reference 59

Resolution
unresolved
no resolver link, observed 2026-07-30T15:24:45.052045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T15:24:45.052045Z digest=sha256:cf8c36673e9d1456cfbf682aae8282f48b3bfa1da47fef972e40719f3d4476c7