Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Physics-Informed Computer Vision: A Review and Perspectives
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.18035.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:19:03.392339Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T18:48:19.544627Z
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 50f2ed40-2b89-406e-a718-aef4af9ba8e2 · inbound
Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging cites this paper.
Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging Physics-Informed Computer Vision: A Review and Perspectives
Reference 219
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T18:48:19.548728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 98e51e72-fd1f-4784-82ac-f7f2ca78ff0d · inbound
Generative Physical AI in Vision: A Survey cites this paper.
Generative Physical AI in Vision: A Survey Physics-Informed Computer Vision: A Review and Perspectives
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:53:00.256715Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c84d0f65-c65a-4056-bb96-d3edbd13c005 · inbound
FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance cites this paper.
FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance Physics-Informed Computer Vision: A Review and Perspectives
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:19:03.392339Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.