Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.00257.
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 2026-08-11T22:54:21.787704Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T23:34:38.084401Z
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 8f927f96-1b90-4c1f-b890-f607556c1783 · inbound
A new Time-decay Radiomics Integrated Network (TRINet) for short-term breast cancer risk prediction cites this paper.
A new Time-decay Radiomics Integrated Network (TRINet) for short-term breast cancer risk prediction RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:54:21.787704Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 921b3029-3224-4b7b-8cc3-93910f0fc880 · inbound
STA-Risk: A Deep Dive of Spatio-Temporal Asymmetries for Breast Cancer Risk Prediction cites this paper.
STA-Risk: A Deep Dive of Spatio-Temporal Asymmetries for Breast Cancer Risk Prediction RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:30:20.663763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3549bcf-82bf-43b7-8c1f-b8fe367e29bb · inbound
VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction cites this paper.
VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T23:34:38.210934Z
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.