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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation 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 33 of 33 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:08:34.153984Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:16.448864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Resolution
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no resolver link, observed 2026-08-07T04:29:16.625192Z

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

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:29:16.720023Z digest=sha256:00b3b4a5035ddadf6d43c552781b12bdf3acf0732f45ff5b5f07c3396b11e752

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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no resolver link, observed 2026-08-07T04:29:16.857859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:16.857859Z digest=sha256:71eecfd6f6e77779dbd0d53313afa3b18868a08fe698e5bcd4dd878a97c1daf6

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:16.985665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:16.985665Z digest=sha256:f38df1082fd59d830ff50d667ec92993fd6c1ee694eb4bc07f896c2d96f64610

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

Resolution
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raw_fallback, observed 2026-08-07T04:29:22.902749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:29:17.129195Z digest=sha256:176815f2fee0882c924f79ff607435fae9df8c98e46539b134280de45a465301

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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no resolver link, observed 2026-08-07T04:29:17.202097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:17.202097Z digest=sha256:d413f230a494316c7daac4c968b45db156217df4b83bbb76b2fbe9d985167cab

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:17.351511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:17.351511Z digest=sha256:88ad81adf9995b494d3f478f28a7d7d72bd6821e378bf97ad204466eaca94027

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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unresolved
no resolver link, observed 2026-08-07T04:29:17.483797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:17.483797Z digest=sha256:ec98fd0a33054a8362032952db3606b543099f9855091ce6e623e6794aea3fad

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:29:22.732661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:29:17.596840Z digest=sha256:d34d8a27c463ca1d8f440a7e605e27a6fecd198cc6a1c62a82065f9445dfb090

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:29:22.560505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:29:17.716135Z digest=sha256:8d656c4e273cebdfea026fe0e1e4b0e670db3f06c54f2762f69b07aeae4216f5

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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unresolved
no resolver link, observed 2026-08-07T04:29:17.820888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:17.820888Z digest=sha256:0206621933e9afb42602dbdce293d2580ceb4bb20130ff5a52ddf985c7c94b36

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
raw_fallback, observed 2026-08-07T04:29:22.404764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:29:17.915972Z digest=sha256:bd87d9dda5623b3e9ceda9ad04a989766f37ec9eacc04efca160f211a4e5c044

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:18.093734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:18.093734Z digest=sha256:c18bd73d40bb81c87b0fc9e8be8f6137e5d3085724dd2d4e6f40f48f86d08c08

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
raw_fallback, observed 2026-08-07T04:29:22.272420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:29:18.240865Z digest=sha256:9f87cba8d8ced67f420a80c46816c5f58238d17a902d38d24aea797b6edbfb19

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
unresolved
raw_fallback, observed 2026-08-07T04:29:22.116538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:29:18.355679Z digest=sha256:883aa2ee40edb32060f53ca3f2d403229ad6d33a6010f73b5d79fec1c87e1ac0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:29:18.475263Z digest=sha256:0f7d780f65542e2a5af0e247ed81d86745426c47c5bf3cc6fa6e51041ef771e8

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

Resolution
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no resolver link, observed 2026-08-07T04:29:18.564771Z

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:29:21.805374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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
unresolved
raw_fallback, observed 2026-08-07T04:29:21.654834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:29:21.341272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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
raw_fallback, observed 2026-08-07T04:29:21.191151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:29:19.201285Z digest=sha256:1ddcb4f9c8223fe649cbfc67c5b34b20ce4e023657a4de9f7cf233f9a367e6f0

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
unresolved
raw_fallback, observed 2026-08-07T04:29:21.010092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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
unresolved
raw_fallback, observed 2026-08-07T04:29:20.850314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:29:19.469312Z digest=sha256:aaab485309947b38ef2816d3bf55fb0e3016e5bb1f6b572590559602d4f3d787

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
unresolved
no resolver link, observed 2026-08-07T04:29:19.600144Z

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
raw_fallback, observed 2026-08-07T04:29:20.721230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:29:19.720201Z digest=sha256:06feb7274ca01c1e8f5d425e6fae41b2b742868c9e8f6bdd51e6100698dcb9b7

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
no resolver link, observed 2026-08-07T04:29:19.828131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:19.828131Z digest=sha256:12820ec02ea8b4bdef45dcc81271af56d9c95c2eba1c3e915e659ef5a858fad0

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:19.921774Z

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
raw_fallback, observed 2026-08-07T04:29:20.559569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:29:20.016001Z digest=sha256:3139e62dc2090e1cb67a1df81c7f1c75c39319396445bfd6fdf15809291245bc

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:20.135393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:20.135393Z digest=sha256:427f2ab46920108fc6241784b6048d2bf14d25897b9985192de84da74be75f98

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

Resolution
unresolved
no resolver link, observed 2026-08-03T22:08:34.153984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:08:34.153984Z digest=sha256:cb486859a752baecb54190361b9d158087c6a0269a3a3278dac54a102d65536a