Paper Citation Record · LEDGER

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach

As of 14 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.15661.

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

pith.paper-citation-record.v1
2607.15661 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:43:41.519591Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 822b6bcc-4e69-4875-87f8-091d713872c2 · outbound

This paper cites Qwen3-VL Technical Report.

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach Qwen3-VL Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:39.096789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a2123b8-e0cb-4268-8954-89cc3954f00e · outbound

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

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:39.187583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81064873-2035-46be-ad2f-961f2cabd500 · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:39.245432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c45992a-ec95-4469-a985-8d88e24fa962 · outbound

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

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: Advances in Neural Information Processing Systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:39.326302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2def33c-0056-4f19-81fc-191969e2d257 · outbound

This paper cites In: International Conference on Learning Representations, (2022) 10 L.

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: International Conference on Learning Representations, (2022) 10 L

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:39.400741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fed5859c-c6d4-4a89-96ba-15ab5208bbf2 · outbound

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

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:39.472819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f3994e5-5d43-42dd-9295-dc031b4b8888 · outbound

This paper cites LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition.

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:39.527353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc91b3dd-6503-4ce3-8066-856e17a476bf · outbound

This paper cites In: International Conference on Learning Representations, (2023).

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: International Conference on Learning Representations, (2023)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:39.613445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 703c6d8d-51c7-4c0b-8205-aed75e8306ea · outbound

This paper cites In: International Conference on Learning Representations, (2023).

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: International Conference on Learning Representations, (2023)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:39.753176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0c86657-e5d2-41a4-b00a-b35702b8c344 · outbound

This paper cites IEEE Transactions on Medical Imaging pp.

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach IEEE Transactions on Medical Imaging pp

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:39.877123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c11a9952-0ff9-41f0-8bfb-32c06a03cb9c · outbound

This paper cites In: International Conference on Machine Learning, (2025).

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: International Conference on Machine Learning, (2025)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:39.924877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 632bbd4c-5b87-4180-b64f-3e16a47a74e0 · outbound

This paper cites In: Ad- vances in Neural Information Processing Systems.

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: Ad- vances in Neural Information Processing Systems

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:40.055401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7731aeef-44cc-42de-a2c4-45c85fafe993 · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention.

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: Medical Image Computing and Computer Assisted Intervention

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:40.205828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2443f6c-735b-4e7a-86be-20453bc4578e · outbound

This paper cites arXiv preprint arXiv:2509.17786 (2025).

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach arXiv preprint arXiv:2509.17786 (2025)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:40.301623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac36cf75-b480-4010-a420-8c5e5140a578 · outbound

This paper cites In: International Con- ference on Computational Linguistics.

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: International Con- ference on Computational Linguistics

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:40.390724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40eebf2e-df8e-4f08-bc2e-fec3c8702a85 · outbound

This paper cites In: Empirical Methods in Natural Language Processing.

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: Empirical Methods in Natural Language Processing

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:40.481255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98ab303c-a980-4a27-a191-abdaf7dd640b · outbound

This paper cites In: European Conference on Computer Vision.

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: European Conference on Computer Vision

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:40.571673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f232e13-dc20-4689-bdfb-8cc5e862a8c2 · outbound

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

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:40.708527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46cd41fc-a67c-4f09-97af-36df12b90d75 · outbound

This paper cites In: International Conference on Learning Representations, (2025).

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: International Conference on Learning Representations, (2025)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:40.854518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7acd23be-31d3-46e0-810f-dc30d12fc435 · outbound

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

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: Advances in Neural Information Processing Systems

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:41.007253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a42a5a33-178c-4c92-a307-9e5c39416c47 · outbound

This paper cites In: International Conference on Learning Representations, (2024) Model Merging for Medical LVLMs 11.

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: International Conference on Learning Representations, (2024) Model Merging for Medical LVLMs 11

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:41.092031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c69ae40c-5b70-4682-8dfa-4a5ab3bdbba1 · outbound

This paper cites In: International Conference on Machine Learning.

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: International Conference on Machine Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:41.170096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b42fb58-caa1-4080-ba03-72e475d003cc · outbound

This paper cites arXiv preprint arXiv:2502.17159 (2025).

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach arXiv preprint arXiv:2502.17159 (2025)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:41.264621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf01c524-4f26-42f9-91e9-6d1d4814f589 · outbound

This paper cites arXiv preprint arXiv:2509.25712 (2025).

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach arXiv preprint arXiv:2509.25712 (2025)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:41.340608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d111d893-08d0-4ff1-a35d-64b2edb09f0e · outbound

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

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: Advances in Neural Information Processing Systems

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:41.425181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2f6dcce-a983-4c70-b085-305d3a4c2282 · outbound

This paper cites In: International Conference on Learning Representations, (2025).

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach In: International Conference on Learning Representations, (2025)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:41.519591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.