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Paper Citation Record · LEDGER

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 5 inbound Pith citation observations for arXiv:2506.10465.

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

pith.paper-citation-record.v1
2506.10465 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:29:20.135393Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:35:05.732250Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T10:50:25.868088Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97801868-ff8d-406f-9c54-e977d461a998 · outbound

This paper cites GPT-4 Technical Report.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

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Observation 1050e014-7e91-48d4-b409-2590ca9319d4 · outbound

This paper cites Nature communications13(1), 4128 (2022).

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Nature communications13(1), 4128 (2022)

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 08d347c9-6a8e-4045-9cb9-f26ee2f74d41 · outbound

This paper cites Bioengineering (2023).

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Bioengineering (2023)

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a7bc79ad-9fb9-48b7-a0b4-e62a1c01b87b · outbound

This paper cites an unresolved cited work.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 55bdd644-3341-4f8e-866a-94c2581fb2ac · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3139707c-cb21-4fd3-b375-5702f73c9b69 · outbound

This paper cites an unresolved cited work.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 80f4ea27-b4d3-427c-a22e-da402a12b4e7 · outbound

This paper cites an unresolved cited work.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 887398e7-f1ae-45af-ab49-a4969d35f1d3 · outbound

This paper cites In: International MICCAI brainlesion workshop.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models In: International MICCAI brainlesion workshop

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:17.202097Z digest=sha256:6b24aee260f2bdd038bd96b8987197107004048f1340786b1223066ee4157249

Observation 5e631a43-466c-4236-b083-8952be532e6b · outbound

This paper cites In: Proceedings of the IEEE/CVF winter conference on applications of computer vi- sion.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models In: Proceedings of the IEEE/CVF winter conference on applications of computer vi- sion

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 56e53d97-346c-4a0b-8d14-2502eb52cbf7 · outbound

This paper cites PathVQA: 30000+ Questions for Medical Visual Question Answering.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e7f6f645-96f9-4c01-ac57-861ede312c8a · outbound

This paper cites an unresolved cited work.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cba1b83f-79f0-4428-a9e6-f5326ba1790b · outbound

This paper cites an unresolved cited work.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e3cf0489-7b7e-4355-a40f-7c3e1ed66fb8 · outbound

This paper cites Segment Anything.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Segment Anything

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 72b88bed-0237-49f3-b30a-8b7f76eb06ab · outbound

This paper cites Scientific Data11(1), 1283 (2024).

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Scientific Data11(1), 1283 (2024)

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3e5e4640-7317-478a-b48b-99a5e8a3afb8 · outbound

This paper cites LISA: Reasoning Segmentation via Large Language Model.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models LISA: Reasoning Segmentation via Large Language Model

Reference 15

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 94fee25a-df3a-4f5c-a276-f1a969ff8e05 · outbound

This paper cites Scientific data (2018).

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Scientific data (2018)

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0fd64188-bf42-4aa9-a00d-9786f644a136 · outbound

This paper cites an unresolved cited work.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Unresolved cited work

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0fd87477-9591-47f0-abbd-c51e4a2e7c14 · outbound

This paper cites In: In- ternational Symposium on Biomedical Imaging (ISBI).

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models In: In- ternational Symposium on Biomedical Imaging (ISBI)

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1830eae6-ce75-4248-afcd-26d1b8ec8f31 · outbound

This paper cites Nature Communications15, 654 (2024).

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Nature Communications15, 654 (2024)

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 22e8b162-3d4c-4ab3-8192-0e770df5e4f4 · outbound

This paper cites an unresolved cited work.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0aa597a1-c701-4f22-9e20-1f9d4b700664 · outbound

This paper cites an unresolved cited work.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Unresolved cited work

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 74f73315-0dcd-4cea-9cd8-c1cc337f3de3 · outbound

This paper cites an unresolved cited work.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Unresolved cited work

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1d3e70fc-bb37-4506-b654-a328e494be77 · outbound

This paper cites an unresolved cited work.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fae1afdf-ba58-4308-b15e-56c0772267da · outbound

This paper cites Biomed- ical Signal Processing and Control p.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Biomed- ical Signal Processing and Control p

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 567456c2-8d4f-4378-b624-e36c5635e043 · outbound

This paper cites an unresolved cited work.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Unresolved cited work

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2c63adff-d66b-429c-8577-2041ce573853 · outbound

This paper cites an unresolved cited work.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Unresolved cited work

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ff2c1ea8-1ed4-4a18-9b0c-41b0ae12570d · outbound

This paper cites Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Reference 27

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7867f656-93bc-498b-962e-d33a6eff721a · outbound

This paper cites Nature Medicine30(11), 3129–3141 (Aug 2024).

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Nature Medicine30(11), 3129–3141 (Aug 2024)

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5b163f03-46e6-4150-887d-d6d0e525f75a · outbound

This paper cites Customized Segment Anything Model for Medical Image Segmentation.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Customized Segment Anything Model for Medical Image Segmentation

Reference 29

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 07d1d652-10b8-486f-b700-193b28eabfc5 · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 68bb2051-0f4f-4639-8c39-1714030ac6d2 · outbound

This paper cites Nature Methods22(1), 166–176 (Nov 2024).

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Nature Methods22(1), 166–176 (Nov 2024)

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d86b6882-e6ef-4f55-a376-bbe694b56e1d · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 2accde91-84fa-4114-bc30-34eefb858976 · inbound

MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images cites this paper.

MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 90199234-8d07-4fce-9e99-9a0cf24b2d4f · inbound

EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation cites this paper.

EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cea14e37-111c-49da-b0c8-4f2be53b62f0 · inbound

EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation cites this paper.

EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models

Reference 4

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:54:56.830111Z digest=sha256:4bb34588001d84acbc4a922cd6e14ef4d12a8fa2e7a26638dc3fda7792110643

Observation 35ea8fed-62e3-40f1-b417-d2ac75463d61 · inbound

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation cites this paper.

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models

Reference 3

Resolution
unresolved
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Source-reported events for the cited work

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MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models cites this paper.

MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models

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