Paper Citation Record · LEDGER

MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.10799.

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

pith.paper-citation-record.v1
2305.10799 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:47:07.647075Z

measured 0 of 1 external citation measurements

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 2026-08-07T06:34:17.273281+00:00.

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.