Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Vision-Language Models Provide Promptable Representations for Reinforcement Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.02651.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T20:57:48.386064Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T06:07:41.683014Z
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 74264c2e-5f2f-428b-b11d-fa0a4604bf47 · inbound
Octo: An Open-Source Generalist Robot Policy cites this paper.
Octo: An Open-Source Generalist Robot Policy Vision-Language Models Provide Promptable Representations for Reinforcement Learning
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:26:15.532660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 673d9932-5af1-4969-b3a9-16c2d315f80f · inbound
Digi-Q: Learning Q-Value Functions for Training Device-Control Agents cites this paper.
Digi-Q: Learning Q-Value Functions for Training Device-Control Agents Vision-Language Models Provide Promptable Representations for Reinforcement Learning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T20:57:48.386064Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc97ac82-82e0-41c2-b163-1aab47a2b080 · inbound
Multimodal Spatial Language Maps for Robot Navigation and Manipulation cites this paper.
Multimodal Spatial Language Maps for Robot Navigation and Manipulation Vision-Language Models Provide Promptable Representations for Reinforcement Learning
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:53:40.726273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4aa79829-9bce-4be4-b816-064769238ad5 · inbound
A Survey of State Representation Learning for Deep Reinforcement Learning cites this paper.
A Survey of State Representation Learning for Deep Reinforcement Learning Vision-Language Models Provide Promptable Representations for Reinforcement Learning
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:33.529555Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9ef4775-b8c5-4104-b84d-f95415f05fd6 · inbound
Curriculum-Based Multi-Tier Semantic Exploration via Deep Reinforcement Learning cites this paper.
Curriculum-Based Multi-Tier Semantic Exploration via Deep Reinforcement Learning Vision-Language Models Provide Promptable Representations for Reinforcement Learning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:17:00.553484Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4215f0bb-b83a-415c-b9d3-b3c9b386ecce · inbound
Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments cites this paper.
Interpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments Vision-Language Models Provide Promptable Representations for Reinforcement Learning
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:46:26.649019Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93429bfe-1b07-4fac-b63c-82505c329f60 · inbound
Act on What You See: Unlocking Safe Social Navigation in Vision-Language-Action Models cites this paper.
Act on What You See: Unlocking Safe Social Navigation in Vision-Language-Action Models Vision-Language Models Provide Promptable Representations for Reinforcement Learning
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T06:07:41.684680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.