Paper Citation Record · LEDGER

Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models

As of 19 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2608.00976.

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

pith.paper-citation-record.v1
2608.00976 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:40:24.500720Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d5f67d1-81ce-4b05-bceb-37b6152d331a · outbound

This paper cites Radvlm: A multitask conversational vision-language model for radiology.arXiv preprint arXiv:2502.03333,.

Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models Radvlm: A multitask conversational vision-language model for radiology.arXiv preprint arXiv:2502.03333,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:24.465902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a80f62fc-c0c2-4a8f-93d2-63dc92ff2a86 · outbound

This paper cites V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning.

Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:24.469395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21b53b96-addb-48a1-b0e9-a5374b211a69 · outbound

This paper cites Capabilities of Gemini Models in Medicine.

Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models Capabilities of Gemini Models in Medicine

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:24.473729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da649b29-d4eb-4ebf-90db-635235af74bb · outbound

This paper cites Fleming-vl: Towards universal medical visual reasoning with multimodal llms.arXiv preprint arXiv:2511.00916,.

Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models Fleming-vl: Towards universal medical visual reasoning with multimodal llms.arXiv preprint arXiv:2511.00916,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:24.481101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f7c9418-b800-466d-bfbf-02cdaeabc11e · outbound

This paper cites DINOv3.

Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models DINOv3

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:24.484809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d68ffc2d-0b80-4d46-8658-6d7da2a3f028 · outbound

This paper cites Gemma 3 Technical Report.

Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models Gemma 3 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:24.488181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39247014-e734-4430-b32e-93b31e87ca27 · outbound

This paper cites Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning.

Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:24.492327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 371fd059-7488-4e7f-94be-3911a5d59320 · outbound

This paper cites SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.

Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:24.496366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 553027f1-ba0b-4eab-85ad-4b0a68bc7b53 · outbound

This paper cites Chexagent: Towards a foundation model for chest x-ray interpretation.

Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models Chexagent: Towards a foundation model for chest x-ray interpretation

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:24.461873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3005e101-f44d-4b62-b864-785f92b20018 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:24.500720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 108d2e2d-be0e-498e-94f5-2175d8c48014 · outbound

This paper cites MedGemma Technical Report.

Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models MedGemma Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:24.477286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f989b60-66ea-4727-aa32-159957924208 · outbound

This paper cites Mirage: The illusion of visual understanding.arXiv preprint arXiv:2603.21687,.

Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models Mirage: The illusion of visual understanding.arXiv preprint arXiv:2603.21687,

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:24.454599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58329fec-921d-4e35-876a-7cbff2e567cd · outbound

This paper cites MAIRA-2: Grounded Radiology Report Generation.

Location-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models MAIRA-2: Grounded Radiology Report Generation

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:24.458377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.