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Paper Citation Record · LEDGER

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.03698.

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

pith.paper-citation-record.v1
2507.03698 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:09:31.806401Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4691d2ce-bd59-48b0-8516-3f768bbbfcc1 · outbound

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

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Nature communications13(1), 4128 (2022)

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.053158Z digest=sha256:be8c1846904e1ae686b0dfbba89d0a94f1218aeaff875207157db47cc8fb7896

Observation d141fb6c-6c9a-4e4e-ac2b-32d744ea8921 · outbound

This paper cites In: European conference on computer vision.

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model In: European conference on computer vision

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.095529Z digest=sha256:db55f0f4aa88e07635690c2547887e6fa267b65afec7d85f113e3376e450e65f

Observation bccf5cb6-4f6d-439a-9b84-26908afd0628 · outbound

This paper cites Medical Image Analysis98, 103310 (2024).

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Medical Image Analysis98, 103310 (2024)

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.146941Z digest=sha256:d573c6061f0e33aa890c1955cf833091b1af98846f04312e92f590988bde6fd8

Observation 4f13581d-22c2-46c2-9a62-9fd7418477f7 · outbound

This paper cites SAMAug: Point Prompt Augmentation for Segment Anything Model.

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model SAMAug: Point Prompt Augmentation for Segment Anything Model

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.198503Z digest=sha256:949afd7e6c9c0116ab58417408cd4da5166b05bc25657ae35951fa1a20f38ccc

Observation a282f033-da8f-43c1-85ee-f405d1084d9c · outbound

This paper cites Biomedical & Pharmacology Journal11(3), 1227 (2018).

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Biomedical & Pharmacology Journal11(3), 1227 (2018)

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T20:09:33.168902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:09:30.279530Z digest=sha256:1b14076bc528e829fd50483cf088d176729373f13d7aba2c5e1e9f740fb3fdfd

Observation 421b64c7-2c34-4eb7-9729-c8de0d28cf58 · outbound

This paper cites Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC).

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.376100Z digest=sha256:30ff66bf1dd02e848862c3f5cb3a7a0b7d6bbeefcfe4808dc8ce9d2ba5e4d86a

Observation 223c9204-5d15-4518-ab5a-c70a713c3332 · outbound

This paper cites an unresolved cited work.

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Unresolved cited work

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.440949Z digest=sha256:fc08d224192cdb32aaec6a96ba479ecf711334fbdcd1d165909f0fe5b114912d

Observation 31f0575a-3d62-4504-991b-3201d32efedc · outbound

This paper cites Nature methods 18(2), 203–211 (2021).

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Nature methods 18(2), 203–211 (2021)

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.490836Z digest=sha256:2fb280f915cdb7d77108866fd81fbbb8fc66eb871a7bd356d6f2c265b7174998

Observation fa92de5d-4d5d-44e5-bfaf-6eb9125b4c6d · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.547449Z digest=sha256:5efce700a3ba5c3cd7d774cea5ac7862e96b9e5993a0270b83fd20a8204b41dd

Observation 6b97772b-6997-41d1-8823-c03071d711c3 · outbound

This paper cites Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects.

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.594557Z digest=sha256:d53032d578efc48c88796c668b1141141f15d67406f5ab06b084d83b35b920c4

Observation f211d90a-9c81-48ac-8715-9a5b1ec2a0d6 · outbound

This paper cites In: Medical Imaging 2024: Computer-Aided Diagnosis.

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model In: Medical Imaging 2024: Computer-Aided Diagnosis

Reference 11

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raw_fallback, observed 2026-08-06T20:09:33.049726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:09:30.674154Z digest=sha256:e717d88740c059216373bc8bebc728e99e0cf4b01efff5d22c8abbf94aa5854e

Observation 0d920822-1dae-42bc-a64b-920e3a3442e6 · outbound

This paper cites Sustainability13(3), 1224 (2021).

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Sustainability13(3), 1224 (2021)

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T20:09:32.856784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:09:30.728032Z digest=sha256:c4a1c88f1fd69b5adacaac9e77681f2f835bcb0736f8c5ce5cb1e9d1ac0681a4

Observation c8b2781c-edc6-4d8a-91dd-5cf8bf566894 · outbound

This paper cites Decoupled Weight Decay Regularization.

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Decoupled Weight Decay Regularization

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.765373Z digest=sha256:91533641a3f730d7975cb6f3bee5eb950ebf20637dc686752b8943e05848f5e8

Observation 645ea281-b578-4535-88f7-31f1493790e5 · outbound

This paper cites Nature Communications15(1), 654 (2024).

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Nature Communications15(1), 654 (2024)

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.854231Z digest=sha256:5386e7b46301e7806bf2cabdf111d00f34b3fee7296de4e2faf7cbb29a72c45a

Observation 9b1f3318-a5ff-4d24-bc8b-e98915854e3a · outbound

This paper cites https://www.kaggle.com/datasets/eiraoi/ thyroidultrasound (2023).

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model https://www.kaggle.com/datasets/eiraoi/ thyroidultrasound (2023)

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:09:30.904602Z digest=sha256:b7043f8e8ae2bc7d91653d89e7bfb7b3fa461ba82317b04b3da697f66921ae7b

Observation 8043bf8b-40cf-46c3-99af-e87bc9e18fee · outbound

This paper cites An Introduction to Convolutional Neural Networks.

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model An Introduction to Convolutional Neural Networks

Reference 16

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source=pdf_text observed=2026-08-06T20:09:30.967993Z digest=sha256:ea33e030c880654ba544a2f5b3f4c9a17769a291d1ff5a787fa98fe3219c8a10

Observation 5c47a675-0cc0-4180-a728-57cd6e2b3d10 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model SAM 2: Segment Anything in Images and Videos

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:31.083558Z digest=sha256:8eb4a532713f8f40549e83ebe12b188f2c66189744e7a04d1693b9d7717c1df2

Observation c2f917b1-aa30-4b1f-b290-6b4f8d407430 · outbound

This paper cites an unresolved cited work.

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-06T20:09:32.460514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:09:31.175764Z digest=sha256:a261bb00c4d0133fd71e854ba07f5941dfd49c297d34e69fff6f0b1b3c8ad7e0

Observation e37169ab-34aa-4ff6-b5f7-77f090612ac7 · outbound

This paper cites In: 2014 IEEE 11th international symposium on biomedical imaging (ISBI).

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model In: 2014 IEEE 11th international symposium on biomedical imaging (ISBI)

Reference 19

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raw_fallback, observed 2026-08-06T20:09:32.233711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:09:31.318473Z digest=sha256:61320516e8ee807d860b3d08dd822fcec61dc4f90f52fb9804adf9cfd02a7131

Observation 6692666d-785a-4c0b-98f1-3a59916b597d · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:09:31.402529Z digest=sha256:7b10b67e49fca8bf97973337738ead6c52d25ea3fb6713e82f6838339ba2af4b

Observation f43d49a3-e4ff-4633-89c1-73a601729739 · outbound

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

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Customized Segment Anything Model for Medical Image Segmentation

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:31.481534Z digest=sha256:5e2852c7c711afa748c43a3663259216ec063841a5be4d0d031f0947a1df6027

Observation bd56553f-3107-4696-b1a0-5646b04e4449 · outbound

This paper cites Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey.

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:31.587292Z digest=sha256:3eba5e63695e57e83559b144600c63a7a2447b73953c5309b9da4c82b39a3a47

Observation f8096e88-5eb6-4c6f-ae4d-cd2a1197d7c6 · outbound

This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:31.684585Z digest=sha256:ce62dd979fa97469f2b6d69f7d16bb3bc9e82373e22d54dd658577bbc43e7bc8

Observation 0970f9e9-1843-4439-9893-0338b97a3c71 · outbound

This paper cites Advances in neural information processing systems 36, 19769–19782 (2023).

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model Advances in neural information processing systems 36, 19769–19782 (2023)

Reference 24

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.