Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to Model the World with Language
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2308.01399.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:34:41.801224Z
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 baf9c4b9-e279-4d8b-8deb-8937d0494f74 · inbound
Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models cites this paper.
Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models Learning to Model the World with Language
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:34:41.801224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 641188bd-4d7f-4b84-9886-1b045d375180 · inbound
Improving Vision-Language-Action Model with Online Reinforcement Learning cites this paper.
Improving Vision-Language-Action Model with Online Reinforcement Learning Learning to Model the World with Language
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T11:39:56.122452Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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.