Paper Citation Record · LEDGER

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 7 inbound Pith citation observations for arXiv:2501.12844.

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

pith.paper-citation-record.v1
2501.12844 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:46:37.052973Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:07:21.847508Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T05:41:02.337122Z

Reference resolution

33 of 33 outbound references displayed

verified exact1
verified fuzzy20
unresolved9
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9bb30b10-de9b-4281-b007-f4437ce352d5 · outbound

This paper cites Multi-organ segmentation over partially labeled datasets with multi-scale feature abstraction,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Multi-organ segmentation over partially labeled datasets with multi-scale feature abstraction,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.849105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe8dd86f-af51-4d2b-b004-51e78b668b2b · outbound

This paper cites Boutillon, P.-H.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Boutillon, P.-H

Reference 2

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T16:46:37.835154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d3a82d1e-9d8c-42e7-991b-256f3228fd3c · outbound

This paper cites Multi-organ segmentation network for abdominal ct images based on spatial attention and deformable convolution,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Multi-organ segmentation network for abdominal ct images based on spatial attention and deformable convolution,

Reference 3

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T16:46:37.535644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b7d16d30-cdb6-4fdb-8808-c3072f9c3e86 · outbound

This paper cites Mpsht: Multiple progressive sampling hybrid model multi-organ segmentation,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Mpsht: Multiple progressive sampling hybrid model multi-organ segmentation,

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T16:46:37.452361Z

Source-reported events for the cited work

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Observation 9228008c-3b3a-4106-908f-55f30e242d47 · outbound

This paper cites Deep snake for real-time instance segmentation,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Deep snake for real-time instance segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.822124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f1a1ba6-d0cf-43ea-ba61-4bc9e478d0a9 · outbound

This paper cites Polarmask: Single shot instance segmentation with polar representation,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Polarmask: Single shot instance segmentation with polar representation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T16:46:36.944445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb423d04-8df3-45a3-9ac6-bff498aa3ddd · outbound

This paper cites Instance segmentation with mask- supervised polygonal boundary transformers,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Instance segmentation with mask- supervised polygonal boundary transformers,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.808621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b884f235-4129-4973-93ac-fd4e3ed5c2d7 · outbound

This paper cites Snakes: Active contour models,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Snakes: Active contour models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.795512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 435e7427-6b0c-44a4-a360-ee1aad18592a · outbound

This paper cites Pixel difference networks for efficient edge detection,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Pixel difference networks for efficient edge detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.781541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc8d95f4-8e94-4fdc-8972-cb06a7cb4ab7 · outbound

This paper cites SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T16:46:36.960516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63b0f9ee-3080-4c22-b445-4645932a66a6 · outbound

This paper cites Fast interactive object annotation with curve-gcn,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Fast interactive object annotation with curve-gcn,

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-10T16:46:37.279156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a0e3833c-619d-46b8-bdc6-9396bd5376da · outbound

This paper cites Objects as points,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Objects as points,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.768312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 005a9fe6-94d5-4124-b422-2904d7a94d19 · outbound

This paper cites ESA: Annotation-Efficient Active Learning for Semantic Segmentation.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation ESA: Annotation-Efficient Active Learning for Semantic Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T16:46:36.972494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0925c305-7ab4-4612-8450-3c73d71dd8d0 · outbound

This paper cites Attractive deep morphology-aware active contour network for vertebral body contour extraction with extensions to heterogeneous and semi-supervised scenarios,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Attractive deep morphology-aware active contour network for vertebral body contour extraction with extensions to heterogeneous and semi-supervised scenarios,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.756096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c7da93c4-f3ca-4dc9-968a-928b58c8d9d3 · outbound

This paper cites VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.743065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bb0cf15e-7c1d-4008-a718-298300d803cd · outbound

This paper cites Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.729899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 90ddfa48-3605-4659-9368-718ce3b08fa7 · outbound

This paper cites Miccai multi-atlas labeling beyond the cranial vault–workshop and challenge,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Miccai multi-atlas labeling beyond the cranial vault–workshop and challenge,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T16:46:36.987234Z

Source-reported events for the cited work

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Observation 681e57f8-e38f-488a-8055-cf3a36796bdd · outbound

This paper cites Bhsd: A 3d multi-class brain hemorrhage segmentation dataset,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Bhsd: A 3d multi-class brain hemorrhage segmentation dataset,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.708404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 416a4f5d-4f5c-4f16-a61c-3049586005cc · outbound

This paper cites nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.695842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f4cf15da-fef8-4e41-bd90-27807cc19b0e · outbound

This paper cites Thin-thick adapter: Segmenting thin scans using thick annotations,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Thin-thick adapter: Segmenting thin scans using thick annotations,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.683503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e342167c-dfb1-4245-bd7b-66bad3be4344 · outbound

This paper cites UNETR: Transformers for 3D Medical Image Segmentation,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation UNETR: Transformers for 3D Medical Image Segmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.670150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20f9069b-2675-490d-9a58-37e6a5452a24 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.656988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ea3350f6-cc48-49ab-a84a-c07c0ad1e7dc · outbound

This paper cites Swin-Unet: Unet-like Pure Transformer for Medical Image Segmenta- tion,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Swin-Unet: Unet-like Pure Transformer for Medical Image Segmenta- tion,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.643166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8f4c6079-eba3-45ae-a649-2ec6c288102e · outbound

This paper cites Segment anything in medical images,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Segment anything in medical images,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.630014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4f3146d5-cde6-494b-bf97-1002ac55e27a · outbound

This paper cites MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T16:46:37.020036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 873928dd-0b57-49a3-8ce2-40f10d081515 · outbound

This paper cites Segreg: Segmenting oars by registering mr images and ct annotations,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Segreg: Segmenting oars by registering mr images and ct annotations,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.616776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c23cb589-117c-484f-94ba-2c2292dde462 · outbound

This paper cites Mask R-CNN,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Mask R-CNN,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.603565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d9d6d7f7-23c4-4894-98db-6e450fc4f6ac · outbound

This paper cites Fast r-cnn,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Fast r-cnn,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T16:46:37.032888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae416da0-bba9-4b57-99cd-f729b154e158 · outbound

This paper cites Efficientnetv2: Smaller models and faster training,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Efficientnetv2: Smaller models and faster training,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.590099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0cb320a3-6196-4f47-a15f-06b594bf5456 · outbound

This paper cites an unresolved cited work.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:46:37.576007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 177d9a66-7df2-4b75-b7ad-4690b79ee454 · outbound

This paper cites SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T16:46:37.045264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9ba4bae-211d-43e0-94a6-046d0b0c0512 · outbound

This paper cites an unresolved cited work.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:46:37.562861Z

Source-reported events for the cited work

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Observation 9f5fa598-af26-4179-a254-9b9484d4cb5b · outbound

This paper cites Deep layer aggrega- tion,.

GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation Deep layer aggrega- tion,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:46:37.550499Z

Source-reported events for the cited work

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Pith citing papers

Observation cc78ee30-9b42-49da-9c72-395193677c1e · inbound

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction cites this paper.

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation

Reference 12

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Source-reported events for the cited work

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Observation b26af42b-fdcf-4005-b805-1f4b94f0a0a4 · inbound

A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation cites this paper.

A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T19:33:21.530680Z

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Observation b3179890-2889-411c-8f87-2cf97c6e568d · inbound

MediAug: Exploring Visual Augmentation in Medical Imaging cites this paper.

MediAug: Exploring Visual Augmentation in Medical Imaging GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-16T10:07:21.847508Z

Source-reported events for the cited work

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Observation dc65e7c0-ccea-46a0-b602-82a8332fe21e · inbound

SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation cites this paper.

SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:37.291706Z

Source-reported events for the cited work

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Observation f420e6a7-5d32-45ff-9649-900a76a3f5e7 · inbound

MARL-MambaContour: Unleashing Multi-Agent Deep Reinforcement Learning for Active Contour Optimization in Medical Image Segmentation cites this paper.

MARL-MambaContour: Unleashing Multi-Agent Deep Reinforcement Learning for Active Contour Optimization in Medical Image Segmentation GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation

Reference 156

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:07.847863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10226bcc-f05f-4cd8-9e39-a4174f69d9fb · inbound

CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation cites this paper.

CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation

Reference 114

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:43.655950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41eac1b0-cdf4-4bdf-863e-1fd282e2c195 · inbound

SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation cites this paper.

SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:41:02.338709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.