Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.01567.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T16:16:46.033478Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:59:12.484611Z
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 6cf8cb51-7a01-43f3-a2be-3827b01f32e5 · inbound
From Images to Point Clouds: An Efficient Solution for Cross-media Blind Quality Assessment without Annotated Training cites this paper.
From Images to Point Clouds: An Efficient Solution for Cross-media Blind Quality Assessment without Annotated Training Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:16:46.033478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7114520a-c323-4060-8e15-ba5f7f3938c3 · inbound
Differentiable Low-computation Global Correlation Loss for Monotonicity Evaluation in Quality Assessment cites this paper.
Differentiable Low-computation Global Correlation Loss for Monotonicity Evaluation in Quality Assessment Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:18:07.037834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67e54923-0baf-4bd4-9158-3a40a96da8c6 · inbound
Point Cloud Compression and Objective Quality Assessment: A Survey cites this paper.
Point Cloud Compression and Objective Quality Assessment: A Survey Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description
Reference 185
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:59:12.597666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.