Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2409.06644.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:03:03.084385Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T01:46:14.609742Z
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 214e5da1-de5b-4013-bde1-098723016a5b · inbound
MM-Retinal V2: Transfer an Elite Knowledge Spark into Fundus Vision-Language Pretraining cites this paper.
MM-Retinal V2: Transfer an Elite Knowledge Spark into Fundus Vision-Language Pretraining EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:00:26.796615Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13942d36-f14a-4ee1-8539-ed029054a902 · inbound
Robust Fairness Vision-Language Learning for Medical Image Analysis cites this paper.
Robust Fairness Vision-Language Learning for Medical Image Analysis EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:03:03.084385Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 571e1002-9e7e-4923-a4c5-f7bd211ab287 · inbound
Predicting Diabetic Macular Edema Treatment Responses Using OCT: Dataset and Methods of APTOS Competition cites this paper.
Predicting Diabetic Macular Edema Treatment Responses Using OCT: Dataset and Methods of APTOS Competition EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:00:55.462510Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f95efed6-0b60-4769-9314-ac376656c591 · inbound
Constructing Ophthalmic MLLM for Positioning-diagnosis Collaboration Through Clinical Cognitive Chain Reasoning cites this paper.
Constructing Ophthalmic MLLM for Positioning-diagnosis Collaboration Through Clinical Cognitive Chain Reasoning EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:51:09.819811Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00c1cdca-807e-4f26-b060-efbf447108ee · inbound
Representation learning from OCT images cites this paper.
Representation learning from OCT images EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis
Reference 153
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:20:43.039495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a29175c0-9f3a-4457-8888-9a03ee7e14fb · inbound
CapCLIP: A Vision-Language Representation Alignment Approach for Wireless Capsule Endoscopy Analysis cites this paper.
CapCLIP: A Vision-Language Representation Alignment Approach for Wireless Capsule Endoscopy Analysis EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T01:46:14.611739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b0d1a110-c1bc-4c6c-acb1-20545228da5c · inbound
Color Fundus Photography Analysis: Co-evolution of Data, Preprocessing, and Modeling toward Multimodal AI cites this paper.
Color Fundus Photography Analysis: Co-evolution of Data, Preprocessing, and Modeling toward Multimodal AI EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:27:20.773067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.