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Paper Citation Record · LEDGER

VM-UNet: Vision Mamba UNet for Medical Image Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2402.02491.

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

pith.paper-citation-record.v1
2402.02491 v2

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measured 0 of 0 reference resolution

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measured 44 of 44 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:11.996960Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-07-04T09:49:44.601177Z

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Outbound references

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Pith citing papers

Observation eadde677-7410-4744-9cb2-226aa2aa8452 · inbound

3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion cites this paper.

3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 31

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arxiv_id, observed 2026-05-24T02:13:45.126119Z

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source=pdf_text observed=2026-05-24T02:09:11.515173Z digest=sha256:c906797c630de47e31a4677d9a5c22a9a9abf8a4e5b4d7a88c95913883c65bc5

Observation 10e7e58a-2c06-486b-8a30-8122778e2f67 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 159

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arxiv_id, observed 2026-05-23T22:13:31.064678Z

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source=pdf_text observed=2026-05-23T22:09:19.917854Z digest=sha256:660bf0d885760efd9a43f1ae56d4c51a4493f492cc0f7fde49101da90cb5f8c9

Observation 5d57f3f0-19ca-430c-86d7-2eb54444cc08 · inbound

Uncertainty-Based Ensemble Learning in CMR Semantic Segmentation cites this paper.

Uncertainty-Based Ensemble Learning in CMR Semantic Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 19

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arxiv_id, observed 2026-05-23T03:25:20.265964Z

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source=pdf_text observed=2026-05-23T03:25:05.828381Z digest=sha256:233d57b730c3e1dd4df33d28d2448d11834526cd3963cce8e6e958cfbd938a50

Observation 0c7564ec-ea70-428c-848b-d3779ba63034 · inbound

COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel Segmentation cites this paper.

COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 35

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arxiv_id, observed 2026-05-23T01:47:22.347001Z

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source=pdf_text observed=2026-05-23T01:46:22.021695Z digest=sha256:065bbdb064c9dc2ea111a9c6b806af4847b04b084d2c38dac733154ad1789aff

Observation 711ac6f3-f5eb-45fe-b2d8-e610e9c5cde4 · inbound

Hierarchical Feature Learning for Medical Point Clouds via State Space Model cites this paper.

Hierarchical Feature Learning for Medical Point Clouds via State Space Model VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 16

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arxiv_id, observed 2026-05-22T19:01:58.064378Z

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source=pdf_text observed=2026-05-22T18:58:40.012438Z digest=sha256:559f31f41efc35e8e7329eb1267c929ceeb46fa9b86a702926de85ee173cebee

Observation a29094bf-1900-4ac8-828b-83f37ceed7fe · inbound

CENet: Context Enhancement Network for Medical Image Segmentation cites this paper.

CENet: Context Enhancement Network for Medical Image Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 21

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source=pdf_text observed=2026-08-07T14:35:11.996960Z digest=sha256:ced999ab0f44473f2b962e63942f0efef34b216df7afe4208f35dfc00764c2fe

Observation c1fe9d42-62c2-425e-814c-c9afba853ab0 · inbound

HTMNet: A Hybrid Network with Transformer-Mamba Bottleneck Multimodal Fusion for Transparent and Reflective Objects Depth Completion cites this paper.

HTMNet: A Hybrid Network with Transformer-Mamba Bottleneck Multimodal Fusion for Transparent and Reflective Objects Depth Completion VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 38

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source=pdf_text observed=2026-08-07T13:47:43.337874Z digest=sha256:64dbcb8d60837c12aac8bc2dfbe598f2ca29a9cbd92b21677682b19e6f802fe6

Observation 25096845-5727-4817-a0e2-0d89bd2c4bf4 · inbound

ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation cites this paper.

ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 5

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source=pdf_text observed=2026-08-07T12:25:14.722093Z digest=sha256:6caf002391fdab4de0fa487f4a8d7991ead9ad95dff084bfc3014b1d5457eb9b

Observation c219cedc-6437-4dcf-a1f8-f99987bb2ce9 · inbound

ControlMambaIR: Conditional Controls with State-Space Model for Image Restoration cites this paper.

ControlMambaIR: Conditional Controls with State-Space Model for Image Restoration VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 80

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source=pdf_text observed=2026-08-07T11:23:53.821184Z digest=sha256:d6f9c24ad76ed0b65e0a1053216f7c873b1c1d64ef8fcfc852fd2e3f70cf34bd

Observation 54d06e6c-9e71-44bd-8e36-2910591c9257 · inbound

Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework cites this paper.

Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 33

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source=pdf_text observed=2026-08-07T11:19:09.649773Z digest=sha256:8d19f16021df5d22b38c0247fc2bf94f5e8ef296b65d6dada350c0a55e7159fc

Observation c1953a42-7ca6-4804-bcaf-f41954121966 · inbound

Med-URWKV{\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation cites this paper.

Med-URWKV{\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 40

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source=pdf_text observed=2026-08-07T04:19:50.601768Z digest=sha256:89a2965939dbd5a5e81677c7d42dc7cfdac535b836c87e0dc65417fdc4f629c3

Observation 90624ba9-782e-4308-a5c2-ffc821c404fc · inbound

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation cites this paper.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 19

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source=pdf_text observed=2026-08-07T00:53:58.338018Z digest=sha256:9027784a38a9189f14c222ff07cc3732cb292fe23e74555dab870e0ad04afef6

Observation 5c3dafd6-3e03-4b8a-a234-5ab3590f7333 · inbound

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model cites this paper.

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 20

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source=pdf_text observed=2026-08-06T23:26:31.462237Z digest=sha256:8b55a0d98d850c96fe09bd07186eda82ed765e605a6f1ca6788045fb3b4e0080

Observation ebd6cbbb-b5f8-4b4e-b0ed-952f2adf3c6f · 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 VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 123

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source=pdf_text observed=2026-08-06T23:20:04.313122Z digest=sha256:3d065d6adcfa68d34cb88e481ed9aeeaab4725fea438ea838b6899af023e65ac

Observation 34860136-d212-404e-881e-f98ef1bddf1c · inbound

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ cites this paper.

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+ VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 19

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source=pdf_text observed=2026-08-06T21:18:23.395110Z digest=sha256:bc11d41bf2a6f22b6da6bf3b30029f8817aa0c0b981998d3c30ab5f2179f9de1

Observation dfa9b625-7ea4-4c1c-9f2b-36a32dc9f7fe · inbound

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation cites this paper.

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 18

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source=pdf_text observed=2026-08-06T21:02:35.436576Z digest=sha256:ed61837fb11c0796c7419f6c8314b5ee6e98df5e448d9f2afd18e189515c0044

Observation ee8bfb60-aa99-4ebf-8921-f81c082bf9da · inbound

PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans cites this paper.

PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 21

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source=arxiv_source observed=2026-08-06T20:05:37.481087Z digest=sha256:ef5933c2ba0d13972c9ad8d2e1e1004260d93af9263d684738570cae3a29f520

Observation ef529d0d-cf6b-4623-a889-ed725d16184e · inbound

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation cites this paper.

Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 15

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source=pdf_text observed=2026-08-06T19:02:36.108306Z digest=sha256:b5201071da956fa384c94ae54f613630f88c63c3036404c255b0d4a02a8026fb

Observation d0bd8fc9-e0f9-40a4-8fa7-ccc03be4fc44 · inbound

Spatial-Temporal Graph Mamba for Music-Guided Dance Video Synthesis cites this paper.

Spatial-Temporal Graph Mamba for Music-Guided Dance Video Synthesis VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 63

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source=pdf_text observed=2026-08-06T19:01:20.564093Z digest=sha256:717ef8d654f3357997194d3044453943d1521603662b0d74eb36b4d25035a787

Observation c6508286-6794-44b2-b6b5-2118f474509e · inbound

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV cites this paper.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 21

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source=pdf_text observed=2026-08-06T17:17:30.725241Z digest=sha256:cd83cc58a6e0c2047d5de5d876418078b7d12b514d44922d7413ab6dca9cd486

Observation 9b709971-3476-42da-81f7-c1a7c85e860f · inbound

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation cites this paper.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 19

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source=pdf_text observed=2026-08-06T17:08:26.961134Z digest=sha256:18d3ea1186cfc65ab9cd27331e31e92c7222db87d639f0d663dcc8398fd33911

Observation 4575dff2-4102-4720-90d6-ed29d06d5ccc · inbound

Training-free Token Reduction for Vision Mamba cites this paper.

Training-free Token Reduction for Vision Mamba VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 38

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source=arxiv_source observed=2026-08-06T16:16:49.385303Z digest=sha256:40b421e8df0dfba17dfdc3d9706c170ea8952329409fcd0e44cea6207684ce4e

Observation 429e24a5-fcfc-435e-b089-0747dd812b52 · inbound

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection cites this paper.

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 9

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source=pdf_text observed=2026-08-06T15:20:44.916341Z digest=sha256:99e327c3fd6476d9b78d7d11676fe049d5ef344bde200082baf498201834471e

Observation 98907876-d9f9-4ec9-a0dd-f3ec99a48c92 · inbound

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion cites this paper.

A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 12

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source=pdf_text observed=2026-08-06T15:05:35.333662Z digest=sha256:86253d5dcae41d63a75496ef4c5be16b49aa5cf2f043dd6c9aa05ab4b694cc06

Observation 0bf9c88e-159a-4c90-8bfb-ead569fe876d · inbound

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation cites this paper.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 23

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source=pdf_text observed=2026-08-06T14:35:41.207934Z digest=sha256:078dde2d476fc2d33bfffb1bbf8086ed11f7a433f5156a2dd7e45fe4c4d4f84f

Observation 41878de8-6d04-4da3-bac2-5e1b8ddcaaa3 · inbound

HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning cites this paper.

HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 53

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source=pdf_text observed=2026-08-06T14:04:42.620197Z digest=sha256:c8e4a54767390ccfcce6b8fba4c66a2a7a891be6321787c16dbbd7edb5b3e827

Observation 4cbea056-60f4-4b5a-908b-67f88649573c · inbound

MambaVesselNet++: A Hybrid CNN-Mamba Architecture for Medical Image Segmentation cites this paper.

MambaVesselNet++: A Hybrid CNN-Mamba Architecture for Medical Image Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 47

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source=pdf_text observed=2026-08-06T13:55:43.501373Z digest=sha256:c317bb5f2aa8d385fb3a7586144f009549a4b5d158f15ae3d081d50992885e32

Observation f1351424-0be7-4b82-aaa4-410695004ac5 · inbound

ASM-UNet: Adaptive Scan Mamba Integrating Group Commonalities and Individual Variations for Fine-Grained Segmentation cites this paper.

ASM-UNet: Adaptive Scan Mamba Integrating Group Commonalities and Individual Variations for Fine-Grained Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 36

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source=pdf_text observed=2026-08-05T22:19:05.092898Z digest=sha256:2c8a7507a5d1ed7f039f30a8542e6efe060a0f487520386bf8901f8c06d6f3ec

Observation 194949cd-111e-4d91-af1b-f73fc2d6a7d9 · inbound

Automated Charge Transition Detection in Quantum Dot Charge Stability Diagrams cites this paper.

Automated Charge Transition Detection in Quantum Dot Charge Stability Diagrams VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 95

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source=arxiv_source observed=2026-08-05T21:18:33.315801Z digest=sha256:ca1a787dbdec2a0ab60329a4f0d548d56e7107dfe25c820ce9dfbc15fbe7457a

Observation 259365d7-e050-4c97-9e7f-6c68f4e0574f · inbound

Mitosis detection in domain shift scenarios: a Mamba-based approach cites this paper.

Mitosis detection in domain shift scenarios: a Mamba-based approach VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 8

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source=pdf_text observed=2026-08-05T14:38:55.342986Z digest=sha256:7bf890421aba7dd39a0f432e64724080b1a3d1051bfa03d92c329f64b29fde5d

Observation fde5c244-e151-47f0-9b67-8d0e41a2ea4a · inbound

SpectMamba: Integrating Frequency and State Space Models for Enhanced Medical Image Detection cites this paper.

SpectMamba: Integrating Frequency and State Space Models for Enhanced Medical Image Detection VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 36

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source=pdf_text observed=2026-08-05T12:59:30.884643Z digest=sha256:94b1637c21ce6242070534f7989d4a1c06c46aec83091192589488fb85580f6e

Observation 5c56ab32-8913-4388-afbb-4944724fcdbf · inbound

Rethinking the long-range dependency in Mamba/SSM and transformer models cites this paper.

Rethinking the long-range dependency in Mamba/SSM and transformer models VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 25

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source=pdf_text observed=2026-08-05T10:22:53.136110Z digest=sha256:cf95a6d108cfa9d4eb78b2d4219ee2c7ec48252244b3b95662d5159dd157d76e

Observation c8349468-bf92-4053-8a53-0a05dfb32127 · inbound

Dual Interaction Network with Cross-Image Attention for Medical Image Segmentation cites this paper.

Dual Interaction Network with Cross-Image Attention for Medical Image Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 31

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source=pdf_text observed=2026-08-05T04:51:40.974676Z digest=sha256:68207148119f77b3a1f51d71090eb58997ce91fb348c92087732443e7be6f08b

Observation f9063e00-ce97-4155-a396-af598ad9771b · inbound

SFD-Mamba2Net: Structure-Guided Frequency-Enhanced Dual-Stream Mamba2 Network for Coronary Artery Segmentation cites this paper.

SFD-Mamba2Net: Structure-Guided Frequency-Enhanced Dual-Stream Mamba2 Network for Coronary Artery Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 13

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source=pdf_text observed=2026-08-04T20:01:41.479900Z digest=sha256:181f6920bfcafbccd3943f2edcf45324239e1bc0b2adc5353a2110e29ce3e24a

Observation 460382cb-f022-4636-a183-b7a5c6becd17 · inbound

CLIMP: Contrastive Language-Image Mamba Pretraining cites this paper.

CLIMP: Contrastive Language-Image Mamba Pretraining VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:22:14.630383Z digest=sha256:eb7c503a91d3cca85d550be6111ea0a3bca79da503f6e796ad0575813ccb156e

Observation 98b1bf84-f3ac-4fda-b8bc-8870623d8ae8 · inbound

DSVM-UNet : Enhancing VM-UNet with Dual Self-distillation for Medical Image Segmentation cites this paper.

DSVM-UNet : Enhancing VM-UNet with Dual Self-distillation for Medical Image Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 6

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metadata mismatch
arxiv_id, observed 2026-05-16T10:50:51.463603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T10:49:00.846547Z digest=sha256:29b5f10560272249e5cf7823369f01156fedd6d6ee9d15d9a6635cd8b83be6c8

Observation 14d896e7-3ef0-4a92-a86a-870f8fa081ba · inbound

Gated Differential Linear Attention: A Linear-Time Decoder for High-Fidelity Medical Segmentation cites this paper.

Gated Differential Linear Attention: A Linear-Time Decoder for High-Fidelity Medical Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 31

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verified exact
arxiv_id, observed 2026-05-15T17:31:22.073902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T17:31:20.004673Z digest=sha256:6d96a34f72eb73374e3348c6bda331881c390fca3e51961db9ed68175ddace3b

Observation dcdbf174-4d18-4d17-ad09-447efc952a5c · inbound

MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentation cites this paper.

MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:24:46.625611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T00:24:45.639336Z digest=sha256:48235d6016fbb548ecdec8a49784db2b5649545fdfe96ef1696b91cd5ec4f13c

Observation 66085296-d406-471e-b7b6-069394a3ac09 · inbound

Learning from Noisy Prompts: Saliency-Guided Prompt Distillation for Robust Segmentation with SAM cites this paper.

Learning from Noisy Prompts: Saliency-Guided Prompt Distillation for Robust Segmentation with SAM VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:31:14.677976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T08:37:19.723297Z digest=sha256:b3bd03a273f0dc253a6c274a3c32418c500f58feb29ed4c0ef3250630dd11d14

Observation 4770542e-6436-4f1a-a893-b591b401bdd1 · inbound

Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI cites this paper.

Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:51:27.664826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T04:50:02.652779Z digest=sha256:6deed27db034fda32a51725b85edfc17bfe38feb40973c76ca741198c5a1e32f

Observation 7aabb147-cc79-4ff8-8c8e-781b62cb764d · inbound

VMU-Diff: A Coarse-to-fine Multi-source Data Fusion Framework for Precipitation Nowcasting cites this paper.

VMU-Diff: A Coarse-to-fine Multi-source Data Fusion Framework for Precipitation Nowcasting VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:09:44.657489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T05:09:06.254532Z digest=sha256:8edaeff11aebe7b0cc9487f690988131c7062b51c0376d264264cbdeba2e3246

Observation 8b48b4ca-f8b1-4664-9571-dff8f3dd73e0 · inbound

Patch-MoE Mamba: A Patch-Ordered Mixture-of-Experts State Space Architecture for Medical Image Segmentation cites this paper.

Patch-MoE Mamba: A Patch-Ordered Mixture-of-Experts State Space Architecture for Medical Image Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T21:57:48.469007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T21:54:50.362150Z digest=sha256:53dba5c8a74d2176ee3abe8a0509df7deaf9d8c4acc1907249d47f90117db35b

Observation 262c05aa-f9ab-4ac0-83bd-634e1ef69e8f · inbound

Reload-Mamba: Hierarchical Anti-Dilution State-Space Modeling for Multi-Class Semantic Segmentation cites this paper.

Reload-Mamba: Hierarchical Anti-Dilution State-Space Modeling for Multi-Class Semantic Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T20:38:55.692468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T01:14:53.133165Z digest=sha256:687fceba2a37f62a29df8d0c062272f3a5f922054a5cef2c7859caa48088492e

Observation 376d30fc-f5ac-4675-b548-15d9f6ad4555 · inbound

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection cites this paper.

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:49:44.602563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T09:26:51.456652Z digest=sha256:035a59d08889b521490855f272d3243334cdd1ace137b2878d847a589245628d