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Paper Citation Record · LEDGER

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2504.20501.

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

pith.paper-citation-record.v1
2504.20501 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:31:25.941892Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:23:44.887084Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T00:23:45.727719Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77299ce7-8e70-4d57-a12c-b0991c6926c0 · outbound

This paper cites International Journal of Computer Assisted Radiology and Surgery17(4), 699–710 (2022).

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation International Journal of Computer Assisted Radiology and Surgery17(4), 699–710 (2022)

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f5df4df1-1def-4b9f-ad00-e5b45e4d8c8f · outbound

This paper cites In: Proceedings of the AAAI con- ference on artificial intelligence.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation In: Proceedings of the AAAI con- ference on artificial intelligence

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation cca2a618-3be2-409f-ace4-226bd794e374 · outbound

This paper cites IEEE Access9, 95551–95568 (2021).

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation IEEE Access9, 95551–95568 (2021)

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2b6455a7-0727-4753-99cd-50d896b81f90 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fc043052-24ee-4fd4-b013-39ab3a6387e0 · outbound

This paper cites 3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation 3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eb214428-4aa7-4eaa-bd5d-24a9a23a09d0 · outbound

This paper cites IEEE Transactions on Medical Imaging (2023).

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation IEEE Transactions on Medical Imaging (2023)

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 54afa47f-8f09-40e6-a10c-df60424ff82d · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems35(2), 2588–2601 (2022).

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation IEEE Transactions on Neural Networks and Learning Systems35(2), 2588–2601 (2022)

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5b0545b4-e1ed-49a3-b02c-1ebf4b46aab7 · outbound

This paper cites an unresolved cited work.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2772c128-a1b5-4cd0-8fed-91bf899c5137 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation 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.

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Observation c5e0b2c3-404f-4620-9361-f64e8ca646ac · outbound

This paper cites Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Reference 10

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Unavailable: canonical work link unavailable.

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Observation 11ddc00d-a378-4dc4-bd92-92188f9c2b01 · outbound

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

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation Nature Communications15(1), 654 (2024)

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 079ad8e5-70b7-48fd-933f-02799538b7e2 · outbound

This paper cites Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0f979ff3-f087-4bf7-bf0f-fda8ed5111ec · outbound

This paper cites Journal of cognitive neuroscience22(12), 2677–2684 (2010) 10 Jia Wang, Yunan Mei, Jiarui Liu, and Xin Fan.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation Journal of cognitive neuroscience22(12), 2677–2684 (2010) 10 Jia Wang, Yunan Mei, Jiarui Liu, and Xin Fan

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d8390550-954f-448b-af02-55b4dfeef55d · outbound

This paper cites an unresolved cited work.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation Unresolved cited work

Reference 14

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raw_fallback, observed 2026-08-16T05:31:26.199661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e33156f7-be8a-4faf-9416-afbe9a0095b2 · outbound

This paper cites In: 2023 IEEE/CVF International Con- ference on Computer Vision (ICCV).

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation In: 2023 IEEE/CVF International Con- ference on Computer Vision (ICCV)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:31:26.183968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:31:25.894619Z digest=sha256:2894dad82fd4c6117ae3ae8f27f021f092c9dade16fc2b8edd84c5a0c44d67da

Observation 15684daa-78b8-4a8c-8097-c4f0197ea03a · outbound

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

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation In: Proceedings of the IEEE/CVF winter conference on applications of computer vision

Reference 16

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raw_fallback, observed 2026-08-16T05:31:26.167392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 980f7c6d-03d6-422a-80f5-5d689f315da5 · outbound

This paper cites Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 8(5), 519–528 (2020).

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 8(5), 519–528 (2020)

Reference 17

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raw_fallback, observed 2026-08-16T05:31:26.152241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8e4cc436-35aa-428b-9870-555194a995aa · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 18

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Unavailable: canonical work link unavailable.

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Observation d9663cef-8feb-466e-a2af-dbb7c868af8c · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 19

Resolution
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raw_fallback, observed 2026-08-16T05:31:26.136118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:31:25.913209Z digest=sha256:d4bf1ed7a275817203986e2b9da63e7ec6554b8792cff13e800a29f0bc08ecbe

Observation 95d29591-5a26-405d-9d38-a95ef9508410 · outbound

This paper cites De-LightSAM: Modality-Decoupled Lightweight SAM for Generalizable Medical Segmentation.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation De-LightSAM: Modality-Decoupled Lightweight SAM for Generalizable Medical Segmentation

Reference 20

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no resolver link, observed 2026-08-16T05:31:25.917787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:31:25.917787Z digest=sha256:a58b47fe712f3c2f808d3b844218d0d66f109ae5a0325da0071e2267fa3d7a59

Observation a605940b-2c5b-4bdf-8932-49606b1a5b06 · outbound

This paper cites Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:31:25.922569Z digest=sha256:3d5a309044591177d32e28a27d01caabac6fc8041b265e936ff15cd37ceaa74b

Observation 29e3d965-7c5a-43f5-8ee4-c92003c81c23 · outbound

This paper cites EfficientViT-SAM: Accelerated Segment Anything Model Without Accuracy Loss.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation EfficientViT-SAM: Accelerated Segment Anything Model Without Accuracy Loss

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:31:25.928323Z digest=sha256:fff0a84e047eee6955eeac9cc906cc6c8641a1ca160b974f2a1e84f2f5ea48e3

Observation 86ea4f78-e0f3-4eb8-8bf5-713b6a3e3ca6 · outbound

This paper cites an unresolved cited work.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation 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 2026-08-18T06:34:40.430872+00:00.

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Observation 3b3f69d8-a9e6-48a5-90fb-417dc2bd5013 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer- Assisted Intervention.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation In: International Conference on Medical Image Computing and Computer- Assisted Intervention

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-16T05:31:26.104581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:31:25.937627Z digest=sha256:d344e2f838ab14287509ae8abbec82575d83ab27ab0085b11e138e40bc8a5068

Observation 485eaa87-8f16-42c5-b1c1-a58c7b93ba7b · outbound

This paper cites EdgeSAM: Prompt-In-the-Loop Distillation for SAM.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation EdgeSAM: Prompt-In-the-Loop Distillation for SAM

Reference 25

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source=pdf_text observed=2026-08-16T05:31:25.941892Z digest=sha256:31da4a73b7a4cad12f7aeddeae724fa320e1e6c90ecd26226424f99525ecebb7

Pith citing papers

Observation a6ce9f21-d8bb-4473-bd41-05611b9a2d77 · inbound

SAMOT: State-Aware Step Modulation and Optimal Transport Matching for Audio-Visual Instance Segmentation cites this paper.

SAMOT: State-Aware Step Modulation and Optimal Transport Matching for Audio-Visual Instance Segmentation SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation

Reference 49

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local_arxiv, observed 2026-08-12T00:23:45.734721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T00:23:44.887084Z digest=sha256:5ef174fb67f696fbd010949d42c3f796ee2e8cbb3f6196ba2213b083ec63fa86