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Paper Citation Record · LEDGER

MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.19546.

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

pith.paper-citation-record.v1
2407.19546 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:19:39.305965Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:00:59.071076Z

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 3b046c7c-7ebb-47fb-866c-71a85340a3fe · inbound

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction cites this paper.

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T18:19:39.305965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:19:39.305965Z digest=sha256:56ac63ece18f70e57962822d6af1b2d82c707bc7050db918d07687d6271f28fd

Observation 868631b8-2685-4d0c-8de3-104340ee5af3 · inbound

A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation cites this paper.

A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-08T19:33:21.527662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:33:21.527662Z digest=sha256:b080271645393216f283508ea172997d2d620845756055ba46f7ac70df58e476

Observation f8e46638-94e2-4759-9ca3-9a2a00c0163a · inbound

Bringing CLIP to the Clinic: Dynamic Soft Labels and Negation-Aware Learning for Medical Analysis cites this paper.

Bringing CLIP to the Clinic: Dynamic Soft Labels and Negation-Aware Learning for Medical Analysis MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:21:12.293018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:21:12.293018Z digest=sha256:fd65acf23c69902d65435d787307971b45248433b923858154222cb7b01357a7

Observation d9316bdd-9f34-40cf-bfcb-7bde5227288a · inbound

SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation cites this paper.

SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T05:03:36.216819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:36.216819Z digest=sha256:0763b4ba64873ad8fbc5f415895dab6acb1f697a78eee14170911896fd1d803f

Observation fd024453-c5ee-4cd6-b23a-8214a5f63df9 · inbound

HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding cites this paper.

HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:07.741096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:07.741096Z digest=sha256:29e7f1df85a64c5dfbd754ca00665f5e0b68f04b8468979e1dd64c675a46cb84

Observation cd2aad79-21ad-486c-a8b6-c589117523bf · inbound

UIPress: Bringing Optical Token Compression to UI-to-Code Generation cites this paper.

UIPress: Bringing Optical Token Compression to UI-to-Code Generation MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:00:59.084356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:21:32.024105Z digest=sha256:8af03ebcbb0b06bf72663a49e4e2600fa3a02c5994dacf043cf4e49335c76900

Observation b1a4b861-2d49-490a-b728-162b79710eba · inbound

SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation cites this paper.

SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:41:02.382421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T05:37:27.060846Z digest=sha256:9e07dcdc183545df597a5d348afff147c1b6f0b08a8ea579d913654a42a3ccd3