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Paper Citation Record · LEDGER

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

As of 15 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 2026-08-14T06:32:32.682623+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

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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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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.198503Z digest=sha256:270cf2d4e6ea42bac9f32664fae867c87261ff72f2c6fe0dc51fdac1ca3e5a8c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:09:30.279530Z digest=sha256:95daa7f77b76e6b0abf2b08d66dc6046091aecf1cc72620bda70336a29cf945c

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:fabe7bf9d5a6ce21e9837cfdaf783ffd1f13c66fd5d5aff9ece8c4c4e76bf8f6

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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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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Source-reported events for the cited work

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=sha256:69cb4c8e023eadfce562ca5fa1ed61d1bb766ae71daabeea5d4e045ccbd5a712

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:09:30.674154Z digest=sha256:bc3852f75cc41c32299450016f6a251720bb848739f88ca91d2c3bfe939dedf0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:09:30.728032Z digest=sha256:0bd7a42f2b4f796986e06902eb5beb6fa2656accb24a554eda0ee8cb315b2ab8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:09:30.904602Z digest=sha256:73fa00ba2ec35c7caf6c361ad0f87e3edee68263535ecbc06aa89cf6844cff96

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:09:31.175764Z digest=sha256:e738df9de4f7debad2507c66b12e5edcaa819059d306aef3a13485c9223c9e27

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:09:31.318473Z digest=sha256:5f9059ffa16f8b7058d1fa3cff09f41dab40bcadb319fdde08cf6adfda854e0d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T20:09:31.402529Z digest=sha256:1344b24f3d9adb7652981d3a0639f930f9342b610f0663fafb57066f1be8138b

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:e871047e7dadbb5c13daf188b08014529465eb6bcf949480d227958d87002050

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:cce6abafa89abfd4319bf35bc8b43fd7cf8118a0feaa34fefd793d73d3fca2f4

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=sha256:80f3c2d329822476eb17899f6b3e2d4ad2b57309686369d65a4c1686c132cc54

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.

source=pdf_text observed=2026-08-06T20:09:31.806401Z digest=sha256:e828f71bcd915aea2273bf8f9f4f99710bd9e9c2b6b485a2a91d882bcc8a52ce

Pith citing papers

No inbound Pith citation observations are available.