Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.18119.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:24:50.776412Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T10:46:10.496135Z
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 4a9d9552-b4b2-409f-97b6-107c59daa605 · inbound
CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray cites this paper.
CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:24:50.776412Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85df312c-28df-4027-8a32-0cf6486e38a7 · inbound
MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting cites this paper.
MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:46:10.536952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 824ea8fe-660f-4782-8368-354983d5e84a · inbound
GLAM: Geometry-Guided Local Alignment for Multi-View VLP in Mammography cites this paper.
GLAM: Geometry-Guided Local Alignment for Multi-View VLP in Mammography Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:56:55.982299Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 559d9aa3-1e37-476f-a2cd-16aac6ae2506 · inbound
Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift cites this paper.
Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T12:21:48.661331Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.