Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.07192.
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 2026-08-08T05:55:09.479963Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T05:55:09.753395Z
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 8a916803-bdf3-4db7-b149-f061a0cd4b13 · inbound
FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis cites this paper.
FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T05:55:09.758450Z
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.
Observation 646dcd65-dbf5-452b-92d6-3b62aa6cb2f5 · inbound
LivingWorld: Interactive 4D World Generation with Environmental Dynamics cites this paper.
LivingWorld: Interactive 4D World Generation with Environmental Dynamics Animating Landscape: Self-Supervised Learning of Decoupled Motion and Appearance for Single-Image Video Synthesis
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T14:17:59.568752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.