Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Light-weight probing of unsupervised representations for Reinforcement Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2208.12345.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:25:11.903992Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T20:18:13.775893Z
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 2cda4ae2-ec8b-49f1-8a66-bc03ef828e18 · inbound
Bridging the Sim2Real Gap: Vision Encoder Pre-Training for Visuomotor Policy Transfer cites this paper.
Bridging the Sim2Real Gap: Vision Encoder Pre-Training for Visuomotor Policy Transfer Light-weight probing of unsupervised representations for Reinforcement Learning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:25:11.903992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59d3ea8d-0813-45b5-b78a-2ea17c9d353e · inbound
Latent Action Learning Requires Supervision in the Presence of Distractors cites this paper.
Latent Action Learning Requires Supervision in the Presence of Distractors Light-weight probing of unsupervised representations for Reinforcement Learning
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:18:45.177625Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88261f71-e49d-4e4e-a190-76a1f36176b9 · inbound
A Survey of State Representation Learning for Deep Reinforcement Learning cites this paper.
A Survey of State Representation Learning for Deep Reinforcement Learning Light-weight probing of unsupervised representations for Reinforcement Learning
Reference 153
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:45.095538Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5d8b808-8ec5-45c7-9ece-95dc7f9a5a55 · inbound
Olaf-World: Orienting Latent Actions for Video World Modeling cites this paper.
Olaf-World: Orienting Latent Actions for Video World Modeling Light-weight probing of unsupervised representations for Reinforcement Learning
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:20:05.740347Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55d262e3-ed40-4530-8586-ba24df08e344 · inbound
Hierarchical Planning with Latent World Models cites this paper.
Hierarchical Planning with Latent World Models Light-weight probing of unsupervised representations for Reinforcement Learning
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:18:13.777494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.