Paper Citation Record · LEDGER

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2603.07131.

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

pith.paper-citation-record.v1
2603.07131 v4

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:40:11.597988Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81148405-2636-46d9-8832-a315b3498a69 · outbound

This paper cites an unresolved cited work.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:07.965746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a58fcd-c4f0-4b21-9c1a-9fb982d228dd · outbound

This paper cites (2021), https://www.kaggle.com/datasets/andrewmvd/ocular-disease-recognition- odir5k/data.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge (2021), https://www.kaggle.com/datasets/andrewmvd/ocular-disease-recognition- odir5k/data

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:08.176893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9933e431-8add-448b-b2d0-e385865d2774 · outbound

This paper cites Qwen3-VL Technical Report.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge Qwen3-VL Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:08.348967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24af9ad3-b194-4a6a-877a-ae78908d31b5 · outbound

This paper cites Qwen2.5-VL Technical Report.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge Qwen2.5-VL Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:08.516906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a22ab38f-5364-40f6-89d3-4b3fa1bf9cd5 · outbound

This paper cites Nature communications12(1), 4828 (2021).

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge Nature communications12(1), 4828 (2021)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:08.681024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94fd945f-db7e-40d6-9c07-5c60759efeba · outbound

This paper cites In: Proceedings of the 2024 conference on empirical methods in natural language processing.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge In: Proceedings of the 2024 conference on empirical methods in natural language processing

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:08.890275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67dced14-522b-46e3-9e8e-20efc4892b86 · outbound

This paper cites Advances in neural information processing systems36, 49250–49267 (2023).

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge Advances in neural information processing systems36, 49250–49267 (2023)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:09.052952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 929576e6-945d-44b4-bcee-c1b2df4c5c7e · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:09.275822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53d23b37-6872-4c0a-acf6-c389bbe31b0e · outbound

This paper cites arXiv preprint arXiv:2512.14499 (2025).

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge arXiv preprint arXiv:2512.14499 (2025)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:09.454243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b13071c-feff-4d19-bcd4-32876e9810e3 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge In: Advances in Neural Information Processing Systems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:09.626662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdd99cf4-de01-44fa-b1f1-9dbe0fa8622e · outbound

This paper cites an unresolved cited work.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:09.829721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba594879-67aa-4b77-a03f-aafb3f3438a5 · outbound

This paper cites In: Proceedings of the 33rd ACM International Conference on Multimedia.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge In: Proceedings of the 33rd ACM International Conference on Multimedia

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:10.066966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5153707a-d6e4-4c3c-a4b8-75c63fb23ff2 · outbound

This paper cites HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:10.243424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84b1d585-23c0-488e-baa9-c116032753c6 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Confer- ence on Computer Vision.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge In: Proceedings of the IEEE/CVF International Confer- ence on Computer Vision

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:10.411045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7908973-c84c-4759-8015-4d2e93e3e864 · outbound

This paper cites A Survey on Hallucination in Large Vision-Language Models.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge A Survey on Hallucination in Large Vision-Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:10.578965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d4c9e7d-f32c-4b0b-9c76-1f05dc1c49e6 · outbound

This paper cites Advances in neural information processing systems36, 34892–34916 (2023).

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge Advances in neural information processing systems36, 34892–34916 (2023)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:10.788921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c32e087-030a-44c0-9867-bdc9fce3ce93 · outbound

This paper cites Advances in neural information processing sys- tems35, 27730–27744 (2022).

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge Advances in neural information processing sys- tems35, 27730–27744 (2022)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:11.026584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1d1a216-f942-4f10-b922-586a3292054e · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:11.191440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5466315-ccaf-4e1d-99f9-f0fefd052ae8 · outbound

This paper cites UMIT: Unifying Medical Imaging Tasks via Vision-Language Models.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge UMIT: Unifying Medical Imaging Tasks via Vision-Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:11.335617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0818baa4-c7cb-4ee9-a3be-b80ec188680d · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:11.437145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 883e0ce2-0dc1-41d4-80e9-84d061ebf4ed · outbound

This paper cites Nature Communications16(1), 3108 (2025).

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge Nature Communications16(1), 3108 (2025)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T18:40:11.597988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.