Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.10799.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T12:20:08.672210Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T10:42:22.416732Z
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 31c42bc0-6a88-4951-9198-86f177ef3064 · inbound
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs cites this paper.
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:42:22.418578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cb9ff193-d692-46f1-94be-14105ffa1228 · inbound
Vision-Language Models for Edge Networks: A Comprehensive Survey cites this paper.
Vision-Language Models for Edge Networks: A Comprehensive Survey MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts
Reference 138
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T12:20:08.672210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a76d515b-13ab-4ff0-8da7-1aa827f86195 · 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 MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:47:07.647075Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b60dd36-81d6-4508-aeaf-f7696fd045e6 · inbound
CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering cites this paper.
CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:31:34.214793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9a89bbc-92f3-4ce7-a189-34ed45da233c · inbound
Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models cites this paper.
Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:48:39.703494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.