Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.19546.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:21:12.293018Z
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 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.
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.
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.
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 2026-08-07T06:34:17.273281+00:00.
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 2026-08-07T06:34:17.273281+00:00.