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Paper Citation Record · LEDGER

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model

As of 7 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 2026-08-07T06:34:17.273281+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:deaae21357fc4fc4feb3abbef1313ea2401c0324bd7b264ee5fd4b730bbbf819

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

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source=pdf_text observed=2026-08-06T20:09:30.095529Z digest=sha256:278602aa39abfa17661223db06448488124c0312bcb48c7bbc17cfec3ae4bce1

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=sha256:73f2e00d3b71a29ffea57fd88a7c70db9839ceb128eef85f5105e1baeb1195bf

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=sha256:3b7d7e5260cd49b43c1bef76f46db6b082b58c92bd8016c3959100735a287b8c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:09:30.279530Z digest=sha256:2fac54830ba6e562df38c028adc08620455ca1fe06231ca11b7a401603415ade

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:db2ee9293093356a5680636143bbd1a575e57c172bd979d2a8233d7fc80181f6

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:fe8eabe8f5e95ec4485f118391ad65841de86fdfd75c9e94a560c160df74a683

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=sha256:6d15016f326c66ac2ca6fbe654196aa6435e95c78b986c3c8266ff92505a04e3

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.547449Z digest=sha256:eb1e061e49dca4c4928178e59fd919fc6fd30f36b07f9dc06cdee446cd512be6

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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no resolver link, observed 2026-08-06T20:09:30.594557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.594557Z digest=sha256:4be9d5442c41981fc71e9a830d2f60651311995ea6ac99faa5cfbf674fcabb91

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:09:30.674154Z digest=sha256:5d0d7044c306a261e441e559a3a5ade7c01a4b6623ce798b95f36f699be4bca4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:09:30.728032Z digest=sha256:ca3cba926ec17c5737eb60adaf56d14609934092f9ac639004d3fa54d745b2fa

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:30.765373Z digest=sha256:db2e947a11971310b7f81ed2dcbdf7eb279013d2cb4eb3c6c435dbffe5087aef

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=sha256:7178cbd18551878d71f77743b7732e23ae9fa25ddfc78362284329164ab52c4a

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
raw_fallback, observed 2026-08-06T20:09:32.693159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:09:30.904602Z digest=sha256:300efc46ce433fd48e1e076c8d247fa87cc5d805c28deee779c520f71143bb91

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=sha256:1551d8bc4f32cfa470abbbafc9f24c6835d9aba791f9f1c578009ff1fa5dbc0f

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=sha256:3e89cb573d2ffe0765f83f15e279a448d07cca12f7e74e86ffaf944220c02fe0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:09:31.175764Z digest=sha256:9aa126b0db9f1da0e6076c7ecd768c0b25ab5ec684af595865e204466136fc47

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:09:31.318473Z digest=sha256:30fcf88f83e2265a103d490a85da3818fd807bdab108413abda37203dcc15926

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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verified fuzzy
raw_fallback, observed 2026-08-06T20:09:32.084449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:09:31.402529Z digest=sha256:6c044e1dce260ed8bd62f8001c9143a0dd32f74a81f120a1fa094770b21e2e24

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=sha256:6cd738aa2772554f4507fdd7e386e6eb4214b9116e59b3355f0f42518c604855

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:b8eda6a8481f6044330c951df42c09c145698f7fad8ea8a92e9d391b1a435ad3

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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source=pdf_text observed=2026-08-06T20:09:31.684585Z digest=sha256:74614e1867cc9ccca5a3e8e0f167e88f5680c05e89522e1fd9dd9bd3f6e120d6

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=sha256:9b67a579024a9ac87ed6059a0d1d0390d958e435e4527df5455fd6f6a69710ed

Pith citing papers

No inbound Pith citation observations are available.