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Paper Citation Record · LEDGER

Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.15946.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2404.15946 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:17:46.515947Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T20:52:34.046582Z

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 7fcfe4f7-a81b-46a8-b06c-55edd76967da · inbound

Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions cites this paper.

Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography

Reference 159

Resolution
unresolved
no resolver link, observed 2026-08-11T23:17:46.515947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:17:46.515947Z digest=sha256:54877a533e6c4f05a47f3a14980cdb1b09f41f01ad3716a53467205e4f26a3e2

Observation 4f2c80c5-50ea-49f8-96f6-2fd86d3db774 · inbound

MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis cites this paper.

MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:52:34.055220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:52:33.787652Z digest=sha256:a3a570ba282afd0b5e5d3a854bca2b4e8a91f8ecf7120b126349560ed4271a20

Observation 0f50e5cd-1ce1-4459-830f-c50d424c74ae · 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 Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T17:56:55.957596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:56:55.957596Z digest=sha256:16a1c1dc41de2283baed1b54cd04b8b8eb94441b203b190ff6b6e9edce0a73a5