Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-Task Interactive Robot Fleet Learning with Visual World Models
As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.22689.
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 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T02:46:03.612702Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T10:39:44.749129Z
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 903cb375-d718-4807-989b-48538d11a557 · inbound
ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies cites this paper.
ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies Multi-Task Interactive Robot Fleet Learning with Visual World Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:57:26.073526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f258a38d-2476-46e6-a80b-2733daffae9d · inbound
Foresight: Failure Detection for Long-Horizon Robotic Manipulation with Action-Conditioned World Model Latents cites this paper.
Foresight: Failure Detection for Long-Horizon Robotic Manipulation with Action-Conditioned World Model Latents Multi-Task Interactive Robot Fleet Learning with Visual World Models
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T10:39:44.751225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5e67bf50-a428-4b98-b1d6-44e8b77cc92c · inbound
Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force Injection cites this paper.
Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force Injection Multi-Task Interactive Robot Fleet Learning with Visual World Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:46:03.612702Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.