Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.10862.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:42:58.513100Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T11:01:30.693190Z
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 120116f8-e8f7-402e-9133-134690f5331d · inbound
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective cites this paper.
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:42:58.513100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82966ecc-a393-4db5-87d5-033549c897b1 · inbound
Learning Discriminative Signed Distance Functions from Multi-scale Level-of-detail Features for 3D Anomaly Detection cites this paper.
Learning Discriminative Signed Distance Functions from Multi-scale Level-of-detail Features for 3D Anomaly Detection R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T11:01:30.695210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 406edaf6-3a12-484f-9a42-cf5dc33ee067 · inbound
Learning Discriminative Signed Distance Functions from Multi-scale Level-of-detail Features for 3D Anomaly Detection cites this paper.
Learning Discriminative Signed Distance Functions from Multi-scale Level-of-detail Features for 3D Anomaly Detection R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:31.315055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.