Paper Citation Record · LEDGER

Learning to Model the World with Language

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:08.877322Z

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 3e781315-3f64-4a8e-be74-b897a5190fe1 · inbound

Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation cites this paper.

Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation Learning to Model the World with Language

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:08.877322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a92788d6-98fe-4a46-97ca-24923ef332c0 · inbound

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning cites this paper.

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning Learning to Model the World with Language

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:00.597205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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.

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.