Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.12042.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T14:10:55.455485Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:17:28.562753Z
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 6e333442-b790-49a6-871e-4f4bcf9c06e7 · inbound
From Image to Video: An Empirical Study of Diffusion Representations cites this paper.
From Image to Video: An Empirical Study of Diffusion Representations Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:10:55.455485Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c54dd21c-a65e-40f0-b9e1-7e1dcf5e44bc · inbound
Functionalization via Structure Completion and Motion Rectification cites this paper.
Functionalization via Structure Completion and Motion Rectification Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation
Reference 212
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T12:28:16.971374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation abf7b814-e248-449b-b3a6-6bad47182fbd · inbound
Do Video Foundation Models Understand Intuitive Physics? A Layerwise Probing Analysis cites this paper.
Do Video Foundation Models Understand Intuitive Physics? A Layerwise Probing Analysis Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T00:17:28.564434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.