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Paper Citation Record · LEDGER

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.17693.

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

pith.paper-citation-record.v1
2607.17693 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:19:32.190046Z

measured 40 of 40 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

40 of 40 outbound references displayed

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  • verified fuzzy0
  • unresolved39
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Outbound references

Observation a2af50ba-0925-4979-87d0-52a98c7ccdda · outbound

This paper cites GPT-4 Technical Report.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation GPT-4 Technical Report

Reference 1

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Observation db3502c6-84eb-4d1b-b6df-42c3a7ded3ce · outbound

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

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 2

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Observation cb699456-32b2-41f8-bb4c-c16e75737b6d · outbound

This paper cites ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models

Reference 3

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Observation 1a56ee8d-4a65-484f-a9b0-d0d9665322e5 · outbound

This paper cites In: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Reference 4

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Observation 1b2eb429-15bf-430c-9526-e890a61803a0 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition

Reference 5

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Observation e8459661-82a4-4d37-8502-ec165976a805 · outbound

This paper cites an unresolved cited work.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation Unresolved cited work

Reference 6

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Observation a8f3b256-1d73-4d40-aed7-bad453caa513 · outbound

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

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation SAMAug: Point Prompt Augmentation for Segment Anything Model

Reference 7

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Observation 8c79f987-6dd6-43ea-b66a-81533af3bdfc · outbound

This paper cites In: 2011 24th International Symposium on Computer-based Medical Systems (CBMS).

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: 2011 24th International Symposium on Computer-based Medical Systems (CBMS)

Reference 8

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Observation cc93edc9-9958-4698-9798-b8e657998750 · outbound

This paper cites ICLR1(2), 3 (2022).

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation ICLR1(2), 3 (2022)

Reference 9

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Observation 65b2329b-2d9c-469c-80b5-35ee9c9b5a1a · outbound

This paper cites IEEE transactions on medical imaging33(2), 233–245 (2013).

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation IEEE transactions on medical imaging33(2), 233–245 (2013)

Reference 10

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Observation 2864ccfa-99fe-42cb-8221-b9dfe4c738b2 · outbound

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

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 11

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Observation 3be7b413-cd16-483c-96bc-ffd351d45a5f · outbound

This paper cites In: International conference on medical image computing and computer-assisted intervention.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: International conference on medical image computing and computer-assisted intervention

Reference 12

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Observation 220e4061-c70d-4915-a320-c6aad38e9ebd · outbound

This paper cites Medical Image Analysis p.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation Medical Image Analysis p

Reference 13

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Observation 14220846-cf23-46e8-9eec-e60fef7bf9b9 · outbound

This paper cites In: 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Reference 14

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Observation aaf92405-adb3-47f3-ad48-9f0c0d566e2f · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applica- tions of Computer Vision.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: Proceedings of the IEEE/CVF Winter Conference on Applica- tions of Computer Vision

Reference 15

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Observation 21b2bdfb-645a-4b98-9870-efe56376e2c9 · outbound

This paper cites Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

Reference 16

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Observation b964ee58-7663-40b2-8ca0-462b33e249b5 · outbound

This paper cites Advances in Neural Informa- tion Processing Systems36, 6690–6702 (2023).

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation Advances in Neural Informa- tion Processing Systems36, 6690–6702 (2023)

Reference 17

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Observation dd486ad1-80bf-4f43-8265-a44669dd11bc · outbound

This paper cites One Polyp Identifies All: One-Shot Polyp Segmentation with SAM via Cascaded Priors and Iterative Prompt Evolution.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation One Polyp Identifies All: One-Shot Polyp Segmentation with SAM via Cascaded Priors and Iterative Prompt Evolution

Reference 18

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Observation 7a0917a8-9e4c-4356-b983-eed2a383e292 · outbound

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

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 19

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Observation caa2f682-7a81-45f1-85ec-a20670511e8b · outbound

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

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 20

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Observation 885df5dc-3462-4119-892b-4b55a10c3440 · outbound

This paper cites In: International conference on machine learning.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: International conference on machine learning

Reference 21

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Observation 320c1354-53e8-453f-9530-502689b4683f · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation DINOv2: Learning Robust Visual Features without Supervision

Reference 22

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Observation 6e166ca5-fdc9-45a9-b9cc-ce08222e89e2 · outbound

This paper cites Medical Image Analysis59, 101570 (2020).

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation Medical Image Analysis59, 101570 (2020)

Reference 23

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Observation 8ac83591-74f9-4292-9005-f1043c468fd7 · outbound

This paper cites In: European conference on computer vision.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: European conference on computer vision

Reference 24

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Observation 1dc5baa9-8a35-4707-b783-76c36134f5e5 · outbound

This paper cites In: International conference on machine learning.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: International conference on machine learning

Reference 25

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Observation f3df23b2-ce8e-4b98-ab23-d1d5765fdbbc · outbound

This paper cites EURASIP Journal on Image and Video Processing2016(1), 35 (2016).

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation EURASIP Journal on Image and Video Processing2016(1), 35 (2016)

Reference 26

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Observation 9bfa6657-8fe6-4dfb-8010-76f2e9bfefbd · outbound

This paper cites Computers in biology and medicine132, 104319 (2021).

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation Computers in biology and medicine132, 104319 (2021)

Reference 27

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Observation 34e36e08-6948-48c9-8da7-a08593b5e81d · outbound

This paper cites JSM Biomedical Imaging Data Papers2(1), 1004 (2015).

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation JSM Biomedical Imaging Data Papers2(1), 1004 (2015)

Reference 28

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Observation f1231a9a-6df9-475d-88e1-b1f2183a71cd · outbound

This paper cites Tent: Fully Test-time Adaptation by Entropy Minimization.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 29

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

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 30

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Observation 779c244d-6f13-46ba-8532-dc39f66dae21 · outbound

This paper cites Advances in Neural Information Processing Systems36, 16009–16027 (2023).

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation Advances in Neural Information Processing Systems36, 16009–16027 (2023)

Reference 31

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This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence45(7), 8827–8844 (2023).

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence45(7), 8827–8844 (2023)

Reference 32

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Observation 61fc284c-22f8-464e-9623-759abbecb4b6 · outbound

This paper cites In: Proceed- ings of the AAAI Conference on Artificial Intelligence.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: Proceed- ings of the AAAI Conference on Artificial Intelligence

Reference 33

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Observation 5f568056-f5db-49c3-9716-3e67043671db · outbound

This paper cites Personalize Segment Anything Model with One Shot.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation Personalize Segment Anything Model with One Shot

Reference 34

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Observation 43cbc83b-bc81-4bb0-a510-20761202d08d · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 35

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Observation e513987a-22a8-4473-a058-9723e23396e8 · outbound

This paper cites Test-Time Training for Semantic Segmentation with Output Contrastive Loss.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation Test-Time Training for Semantic Segmentation with Output Contrastive Loss

Reference 36

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Observation 14a8381e-80c2-48bc-a1d8-d4aa9f658c81 · outbound

This paper cites In: 2010 Annual international conference of the IEEE engineering in medicine and biology.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: 2010 Annual international conference of the IEEE engineering in medicine and biology

Reference 37

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no resolver link, observed 2026-08-01T17:19:31.876393Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T17:19:31.876393Z digest=sha256:d4249aa05fe9d6f33cf7d3f0f98a0ce25587a0d12a6ba7e9e2629eaca9497d88

Observation 19d3bff2-ae3b-43d7-97a6-c35aa2b81df6 · outbound

This paper cites DELTA: degradation-free fully test-time adaptation.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation DELTA: degradation-free fully test-time adaptation

Reference 38

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no resolver link, observed 2026-08-01T17:19:32.023655Z

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source=pdf_text observed=2026-08-01T17:19:32.023655Z digest=sha256:7bb7b2b110dd9cb5e18df79ee6c6fbda31205d5f96d7a2a45d3a02c165ab5a0a

Observation 342d075c-22e8-4843-87fa-4b9fbc6ee493 · outbound

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

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T17:19:32.134076Z

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source=pdf_text observed=2026-08-01T17:19:32.134076Z digest=sha256:db53a4005b3015e6cedcd43e53db5744f4fe6df6c017de621aca79937869196b

Observation 819d71cc-933a-4569-bef8-4303446c6ccd · outbound

This paper cites IEEE TPAMI47(11), 10378–10395 (2025).https://doi.org/10.1109/ TPAMI.2025.3596943.

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation IEEE TPAMI47(11), 10378–10395 (2025).https://doi.org/10.1109/ TPAMI.2025.3596943

Reference 40

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no resolver link, observed 2026-08-01T17:19:32.190046Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:19:32.190046Z digest=sha256:aed1fe4ca65efde539417a0db1bd7666c95c7a92fa71cb2fe765daf5fa2cda5e

Pith citing papers

No inbound Pith citation observations are available.