Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2203.03580.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T19:45:35.117701Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T12:17:01.387957Z
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 b607f72b-a709-47a7-9c6a-9d81ed421a3b · inbound
A Generalist Agent cites this paper.
A Generalist Agent The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:24:49.944744Z
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 320bc10d-7a75-4db9-b770-0fb5562cfa94 · inbound
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training cites this paper.
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T04:42:52.778281Z
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 9b659480-c75f-44e1-92b2-175ace08e773 · inbound
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation cites this paper.
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T12:17:01.390293Z
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 6f28eb48-413b-4598-b594-f5f2ea9d33a4 · inbound
Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation cites this paper.
Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:04:44.950597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3055674c-0e53-47c6-8ad4-cc498d4dd86f · inbound
Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.
Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Reference 203
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:45:35.117701Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.