Paper Citation Record · LEDGER

A Survey on Mamba Architecture for Vision Applications

As of 9 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 2 inbound Pith citation observations for arXiv:2502.07161.

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

pith.paper-citation-record.v1
2502.07161 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:40:59.697257Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T00:09:29.861387Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T00:14:46.936853Z

Reference resolution

70 of 70 outbound references displayed

verified exact9
verified fuzzy14
unresolved47
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cefe63ef-ecd6-4495-a063-88fd25eaa985 · outbound

This paper cites What Makes Convolutional Models Great on Long Sequence Modeling?.

A Survey on Mamba Architecture for Vision Applications What Makes Convolutional Models Great on Long Sequence Modeling?

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.367565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 946b2f0e-dbd5-4ace-8480-4479084deecf · outbound

This paper cites Time-aware large kernel convolutions,.

A Survey on Mamba Architecture for Vision Applications Time-aware large kernel convolutions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:41:01.062723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9aa4553e-9c9b-4844-9f33-e0c09463311c · outbound

This paper cites Depth-wise convolutions in vision transformers for efficient training on small datasets,.

A Survey on Mamba Architecture for Vision Applications Depth-wise convolutions in vision transformers for efficient training on small datasets,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:41:01.047661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 93632301-974e-4a00-8c12-b935852a7420 · outbound

This paper cites Attention is all you need,.

A Survey on Mamba Architecture for Vision Applications Attention is all you need,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.383401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8cfab20-75bd-4410-9d36-bf70a350d342 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

A Survey on Mamba Architecture for Vision Applications An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.388076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aeee6dc-2f9c-4baf-9e66-8639063747db · outbound

This paper cites Predicting therapeutic response to hypoglossal nerve stimulation using deep learning,.

A Survey on Mamba Architecture for Vision Applications Predicting therapeutic response to hypoglossal nerve stimulation using deep learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:41:01.021821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc57be17-aa17-400e-ac97-75378015f307 · outbound

This paper cites Aphid cluster recognition and detection in the wild using deep learning models,.

A Survey on Mamba Architecture for Vision Applications Aphid cluster recognition and detection in the wild using deep learning models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:41:01.005640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 78c84e5c-baa4-48fa-9fdb-f5daddf8194d · outbound

This paper cites A new dataset and comparative study for aphid cluster detection and segmentation in sorghum fields,.

A Survey on Mamba Architecture for Vision Applications A new dataset and comparative study for aphid cluster detection and segmentation in sorghum fields,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:41:00.988111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation be81930b-5d87-47e4-96f6-f21c0be41304 · outbound

This paper cites Edge-aware multi-task network for integrating quantification segmentation and uncertainty prediction of liver tumor on multi-modality non-contrast mri,.

A Survey on Mamba Architecture for Vision Applications Edge-aware multi-task network for integrating quantification segmentation and uncertainty prediction of liver tumor on multi-modality non-contrast mri,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:41:00.970424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b298cb7a-af43-4d37-b9a1-9bb63d597aee · outbound

This paper cites Deep residual learning for image recognition,.

A Survey on Mamba Architecture for Vision Applications Deep residual learning for image recognition,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.413049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a14e83cd-fe0e-49e7-b33e-ea10188ca7fc · outbound

This paper cites Is space-time attention all you need for video understanding?.

A Survey on Mamba Architecture for Vision Applications Is space-time attention all you need for video understanding?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.417727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddb7fb22-0ed0-4074-bd5d-6897ab9498cb · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

A Survey on Mamba Architecture for Vision Applications Generating Long Sequences with Sparse Transformers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.422136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation effa2afa-7e40-4027-ac66-3d2b4231d98b · outbound

This paper cites Xcit: Cross- covariance image transformers,.

A Survey on Mamba Architecture for Vision Applications Xcit: Cross- covariance image transformers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:41:00.933491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b424ceb-5029-4eb2-9119-b51543955b54 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

A Survey on Mamba Architecture for Vision Applications Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.431786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79fa4be1-de52-46e9-ba8f-2b9654e433a6 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

A Survey on Mamba Architecture for Vision Applications Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.436447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 790f8a8a-894f-4dc3-a087-65cadd65e5b0 · outbound

This paper cites Videomamba: State space model for efficient video understanding,.

A Survey on Mamba Architecture for Vision Applications Videomamba: State space model for efficient video understanding,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:41:00.916939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28839067-d9f1-4609-8c4f-c7f713aa9cb3 · outbound

This paper cites A Survey of Mamba.

A Survey on Mamba Architecture for Vision Applications A Survey of Mamba

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.445760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84847436-d64a-4607-be1f-9182ccbe17d0 · outbound

This paper cites Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges.

A Survey on Mamba Architecture for Vision Applications Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.450778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb8b7b09-1e22-4e4d-a9a4-04db05f7b940 · outbound

This paper cites MedMamba: Vision Mamba for Medical Image Classification.

A Survey on Mamba Architecture for Vision Applications MedMamba: Vision Mamba for Medical Image Classification

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.455621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef036012-28e5-472a-99a7-02689247054b · outbound

This paper cites A comprehensive survey of mamba architectures for medical image analysis: Classification, segmentation, restoration and beyond,.

A Survey on Mamba Architecture for Vision Applications A comprehensive survey of mamba architectures for medical image analysis: Classification, segmentation, restoration and beyond,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.460364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd98d46c-61c6-4ba6-82ba-c6b1683e7117 · outbound

This paper cites Visual Mamba: A Survey and New Outlooks.

A Survey on Mamba Architecture for Vision Applications Visual Mamba: A Survey and New Outlooks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.464933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 209bdb1a-5b3b-4531-b31e-9ced1b8ffc40 · outbound

This paper cites A survey on visual mamba,.

A Survey on Mamba Architecture for Vision Applications A survey on visual mamba,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.469797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca2b8b02-d2b3-4aaf-9a01-bc324c755d88 · outbound

This paper cites Comparison between first-order hold with zero-order hold in discretization of input-delay nonlinear systems,.

A Survey on Mamba Architecture for Vision Applications Comparison between first-order hold with zero-order hold in discretization of input-delay nonlinear systems,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:41:00.891438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4178db16-4df7-48bd-bd70-7499ba93dcfa · outbound

This paper cites VMamba: Visual State Space Model.

A Survey on Mamba Architecture for Vision Applications VMamba: Visual State Space Model

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.478823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71d6637c-3fbe-48c3-903f-27798fb6665f · outbound

This paper cites Mamba-R: Vision Mamba ALSO Needs Registers.

A Survey on Mamba Architecture for Vision Applications Mamba-R: Vision Mamba ALSO Needs Registers

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.483832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 575f7fcb-4d09-475b-bf49-3b94dd235682 · outbound

This paper cites VSSD: Vision Mamba with Non-Causal State Space Duality.

A Survey on Mamba Architecture for Vision Applications VSSD: Vision Mamba with Non-Causal State Space Duality

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.488875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e9b1379-f5ff-477a-bfad-fc34f214b0fc · outbound

This paper cites LocalMamba: Visual State Space Model with Windowed Selective Scan.

A Survey on Mamba Architecture for Vision Applications LocalMamba: Visual State Space Model with Windowed Selective Scan

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.493735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb0b2c40-ee28-4d2a-be3b-30faf05b9f70 · outbound

This paper cites Mamba2d: A natively multi-dimensional state-space model for vision tasks,.

A Survey on Mamba Architecture for Vision Applications Mamba2d: A natively multi-dimensional state-space model for vision tasks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.498453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ba82ae4-3dde-4f04-80c6-c3ae013c5d22 · outbound

This paper cites EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality.

A Survey on Mamba Architecture for Vision Applications EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-08T13:41:00.356683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 52e3f2ff-15d6-47ed-a90d-4a5e1fa59d20 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

A Survey on Mamba Architecture for Vision Applications Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.507730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 971af3c4-120e-49d2-bcac-589d806e7f38 · outbound

This paper cites Vivit: A video vision transformer,.

A Survey on Mamba Architecture for Vision Applications Vivit: A video vision transformer,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.512620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94e6b906-42fc-491c-937f-b05e4922fbe3 · outbound

This paper cites Snakes and Ladders: Two Steps Up for VideoMamba.

A Survey on Mamba Architecture for Vision Applications Snakes and Ladders: Two Steps Up for VideoMamba

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.517392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0446e20-d227-437c-8b4e-437b6bc0d3e1 · outbound

This paper cites Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding.

A Survey on Mamba Architecture for Vision Applications Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.522333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47fba5fc-418b-4aa9-ad4e-4b70fa6bacaf · outbound

This paper cites Vivim: a Video Vision Mamba for Medical Video Segmentation.

A Survey on Mamba Architecture for Vision Applications Vivim: a Video Vision Mamba for Medical Video Segmentation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.527417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b6d21ac-d807-4230-8ab2-42e52d94e3b5 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

A Survey on Mamba Architecture for Vision Applications Imagenet classification with deep convolutional neural networks,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.532223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7938c73-9912-4c92-bcfc-5042630e53e6 · outbound

This paper cites Object detection with deep learning: A review,.

A Survey on Mamba Architecture for Vision Applications Object detection with deep learning: A review,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.536747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5854be4b-aa08-4cf7-846a-5f0baa6b7272 · outbound

This paper cites Unified perceptual parsing for scene understanding,.

A Survey on Mamba Architecture for Vision Applications Unified perceptual parsing for scene understanding,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.541327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fc27851-cfc1-456d-af44-1a5e01e85e99 · outbound

This paper cites Meth- ods and datasets on semantic segmentation: A review,.

A Survey on Mamba Architecture for Vision Applications Meth- ods and datasets on semantic segmentation: A review,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:41:00.838620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2709c6f9-7e44-42e3-9b95-3439d6531afa · outbound

This paper cites A brief survey on semantic segmentation with deep learning,.

A Survey on Mamba Architecture for Vision Applications A brief survey on semantic segmentation with deep learning,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.551303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad883d6d-6d29-4db0-a921-0bba7ab9c90b · outbound

This paper cites Neural Architecture Search based Global-local Vision Mamba for Palm-Vein Recognition.

A Survey on Mamba Architecture for Vision Applications Neural Architecture Search based Global-local Vision Mamba for Palm-Vein Recognition

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-08T13:41:00.274007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4754307d-0ad8-4e5f-947a-81b62369a1ea · outbound

This paper cites Venturing into Uncharted Waters: The Navigation Compass from Transformer to Mamba.

A Survey on Mamba Architecture for Vision Applications Venturing into Uncharted Waters: The Navigation Compass from Transformer to Mamba

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-08T13:41:00.252432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26a8c319-3df8-4730-864f-38db2a855715 · outbound

This paper cites MambaBEV: An EV-based 3D detection model with Mamba2.

A Survey on Mamba Architecture for Vision Applications MambaBEV: An EV-based 3D detection model with Mamba2

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-08T13:41:00.230117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3cd8286c-9eff-4435-a197-d8b359240a3c · outbound

This paper cites PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition.

A Survey on Mamba Architecture for Vision Applications PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.570969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 288e5ca1-92af-4478-9942-a9a8e1dc6137 · outbound

This paper cites Spatial-Mamba: Effective Visual State Space Models via Structure-aware State Fusion.

A Survey on Mamba Architecture for Vision Applications Spatial-Mamba: Effective Visual State Space Models via Structure-aware State Fusion

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.575695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2cdb792-40f2-4704-bd79-15df2e205a70 · outbound

This paper cites Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion.

A Survey on Mamba Architecture for Vision Applications Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.580532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e348e3e8-bf82-49c4-8df9-a58e5327f133 · outbound

This paper cites Towards accurate post-training quantization for vision transformer,.

A Survey on Mamba Architecture for Vision Applications Towards accurate post-training quantization for vision transformer,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.585301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dd8351c-d96c-4f16-8722-4438b50dd360 · outbound

This paper cites Token Merging: Your ViT But Faster.

A Survey on Mamba Architecture for Vision Applications Token Merging: Your ViT But Faster

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.589697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2cc6f93-3ff4-4c25-a630-e9e490d7563b · outbound

This paper cites PuMer: Pruning and Merging Tokens for Efficient Vision Language Models.

A Survey on Mamba Architecture for Vision Applications PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.594437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c526bfd0-aa12-4f97-8638-f3d729e9a41d · outbound

This paper cites Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution.

A Survey on Mamba Architecture for Vision Applications Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.598951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d33a8e67-4932-4eb1-a354-e2994e19ab3a · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

A Survey on Mamba Architecture for Vision Applications Efficiently Modeling Long Sequences with Structured State Spaces

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.603952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef1cd1dd-f80a-4607-b975-bdf65f8667e4 · outbound

This paper cites Mask r-cnn,.

A Survey on Mamba Architecture for Vision Applications Mask r-cnn,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.608796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07bb3982-387a-4388-b724-9f9c0b173966 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

A Survey on Mamba Architecture for Vision Applications Imagenet: A large-scale hierarchical image database,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.613074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa0e6627-1a06-4706-97a2-d376a09ae8e6 · outbound

This paper cites Semantic understanding of scenes through the ade20k dataset,.

A Survey on Mamba Architecture for Vision Applications Semantic understanding of scenes through the ade20k dataset,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.617404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45e729d5-c3b4-4c09-99ac-bd511b3632e1 · outbound

This paper cites Microsoft coco: Common objects in context,.

A Survey on Mamba Architecture for Vision Applications Microsoft coco: Common objects in context,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.622115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa0d2196-c9df-48fe-8bb3-a07933ead893 · outbound

This paper cites The Kinetics Human Action Video Dataset.

A Survey on Mamba Architecture for Vision Applications The Kinetics Human Action Video Dataset

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.626623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdeab26d-9ee4-4718-88d6-ae526c667bb2 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset,.

A Survey on Mamba Architecture for Vision Applications Quo vadis, action recognition? a new model and the kinetics dataset,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:41:00.764866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 579b4497-7fdd-4bcb-8b86-c4c1e5b0cb38 · outbound

This paper cites The” something something.

A Survey on Mamba Architecture for Vision Applications The” something something

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:41:00.749265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cebced32-002d-4a55-891c-36a33637cca8 · outbound

This paper cites Masked-attention mask transformer for universal image segmentation,.

A Survey on Mamba Architecture for Vision Applications Masked-attention mask transformer for universal image segmentation,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.640667Z

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Observation 41ec4869-cbb5-4a6e-a287-54e6f475e483 · outbound

This paper cites FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation.

A Survey on Mamba Architecture for Vision Applications FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-08T13:41:00.082057Z

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Observation d35c39d5-109c-4a77-b87f-628952b870c5 · outbound

This paper cites Pv-ssm: Exploring pure visual state space model for high-dimensional medical data analysis,.

A Survey on Mamba Architecture for Vision Applications Pv-ssm: Exploring pure visual state space model for high-dimensional medical data analysis,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:41:00.724609Z

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Observation 4a12e345-f469-4ac2-839f-8cfb3582ea43 · outbound

This paper cites MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation.

A Survey on Mamba Architecture for Vision Applications MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-08T13:41:00.058940Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 521a8c6a-ac4e-48a3-a2f2-faaade30ec32 · outbound

This paper cites Shuffle mamba: State space models with random shuffle for multi-modal image fusion,.

A Survey on Mamba Architecture for Vision Applications Shuffle mamba: State space models with random shuffle for multi-modal image fusion,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.659094Z

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Observation 47bc694a-3889-4e68-bca2-6584b7fd8294 · outbound

This paper cites MambaSOD: Dual Mamba-Driven Cross-Modal Fusion Network for RGB-D Salient Object Detection.

A Survey on Mamba Architecture for Vision Applications MambaSOD: Dual Mamba-Driven Cross-Modal Fusion Network for RGB-D Salient Object Detection

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-08T13:40:59.952427Z

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Observation 61474d01-7a16-4996-9b52-af9784f6ee83 · outbound

This paper cites NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMs.

A Survey on Mamba Architecture for Vision Applications NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMs

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.668993Z

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Observation e9a7d187-c4ef-4ffd-8134-5ccaa0547388 · outbound

This paper cites Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model.

A Survey on Mamba Architecture for Vision Applications Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.673820Z

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Observation a3fd4c72-53c0-45d0-aa1d-0414c9a00486 · outbound

This paper cites Mamba YOLO: A Simple Baseline for Object Detection with State Space Model.

A Survey on Mamba Architecture for Vision Applications Mamba YOLO: A Simple Baseline for Object Detection with State Space Model

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.678691Z

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Observation 88371fa8-2444-4bb9-abf7-d92e7dc96143 · outbound

This paper cites Pillarmamba: A lightweight mamba-based model for 3d object detection,.

A Survey on Mamba Architecture for Vision Applications Pillarmamba: A lightweight mamba-based model for 3d object detection,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:41:00.709417Z

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Observation e5a74ee5-a612-4744-ac26-c9103f4cc6ab · outbound

This paper cites MambaDETR: Query-based Temporal Modeling using State Space Model for Multi-View 3D Object Detection.

A Survey on Mamba Architecture for Vision Applications MambaDETR: Query-based Temporal Modeling using State Space Model for Multi-View 3D Object Detection

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-08T13:40:59.885828Z

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Observation fad22f8c-1f0f-407d-a562-b8863431b45a · outbound

This paper cites MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling.

A Survey on Mamba Architecture for Vision Applications MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-08T13:40:59.863551Z

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Observation 27d0e446-e4db-45be-a137-e12ba369ea14 · outbound

This paper cites Ms-temba: Multi- scale temporal mamba for efficient temporal action detection,.

A Survey on Mamba Architecture for Vision Applications Ms-temba: Multi- scale temporal mamba for efficient temporal action detection,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.697257Z

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Pith citing papers

Observation e85c4644-c370-440e-9e89-e0515dcc2b74 · inbound

Beyond ZOH: Advanced Discretization Strategies for Vision Mamba cites this paper.

Beyond ZOH: Advanced Discretization Strategies for Vision Mamba A Survey on Mamba Architecture for Vision Applications

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:14:46.940321Z

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Observation 5179b57a-776a-44ce-8f68-d0ef73bf5b05 · inbound

ViM-Q: Scalable Algorithm-Hardware Co-Design for Vision Mamba Model Inference on FPGA cites this paper.

ViM-Q: Scalable Algorithm-Hardware Co-Design for Vision Mamba Model Inference on FPGA A Survey on Mamba Architecture for Vision Applications

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T05:45:22.488102Z

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