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Paper Citation Record · LEDGER

EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2403.09977.

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

pith.paper-citation-record.v1
2403.09977 v1

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:03:44.497250Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:25:47.190043Z

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Outbound references

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Pith citing papers

Observation 1663833d-5331-46ee-9616-ad6f061ff288 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 145

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arxiv_id, observed 2026-05-23T22:13:30.734688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T22:09:19.917854Z digest=sha256:ae4fd9a266f20e7b98354249afc4983fd3583e15cb9d5c938627a9136b11f4de

Observation 1cca1a6a-cc38-445d-bab1-76d6320ac077 · inbound

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

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 53

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source=pdf_text observed=2026-08-12T15:07:15.989793Z digest=sha256:3f0c8534a28de6726d814036e2f9bf30a613c10870e24022c30dd40d226258f5

Observation 9954e844-50d8-42d4-924f-6fafa3bfbe35 · inbound

MobileMamba: Lightweight Multi-Receptive Visual Mamba Network cites this paper.

MobileMamba: Lightweight Multi-Receptive Visual Mamba Network EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 51

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source=pdf_text observed=2026-08-12T13:47:58.062269Z digest=sha256:721f37345950148cdd680d26a15a533110fc7b958221fd67663ae13b897abbf0

Observation bd1160b6-2db7-40b7-a0ce-e1872d3909c6 · inbound

Deformable Mamba for Wide Field of View Segmentation cites this paper.

Deformable Mamba for Wide Field of View Segmentation EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 41

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no resolver link, observed 2026-08-12T13:06:35.377263Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:06:35.377263Z digest=sha256:6b6f0734c6e40e98a312d9c2dbc64d80d8168dcbce9e936f0c6ea9c92ea097c2

Observation af0b597e-cd4e-479b-80d5-bf05042bef0d · inbound

BadScan: An Architectural Backdoor Attack on Visual State Space Models cites this paper.

BadScan: An Architectural Backdoor Attack on Visual State Space Models EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 24

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no resolver link, observed 2026-08-12T12:21:32.154108Z

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source=pdf_text observed=2026-08-12T12:21:32.154108Z digest=sha256:4114f3bb9d681d31203130fb931f021a51673e6ce546289e008faeafdbff83db

Observation f113bcfd-9f82-42a5-a765-b1fedf2ac45c · inbound

EMOv2: Pushing 5M Vision Model Frontier cites this paper.

EMOv2: Pushing 5M Vision Model Frontier EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 65

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no resolver link, observed 2026-08-11T19:33:08.985119Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:33:08.985119Z digest=sha256:1de40f0e0fd08867f401a8565548446f78e7485caaed6fba63126f9967eabb92

Observation f34d5484-9ddd-401d-bac9-749880d066b6 · inbound

Image Forgery Localization with State Space Models cites this paper.

Image Forgery Localization with State Space Models EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 12

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source=pdf_text observed=2026-08-11T15:14:35.484435Z digest=sha256:09817739f688d44ac0155eb789ad602c3892f2f6f867b4202dc41c4cc85e36ce

Observation 529ebcb7-eb87-48b1-bc21-dd4c65412677 · inbound

Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training cites this paper.

Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 34

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no resolver link, observed 2026-08-11T14:07:16.151633Z

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source=pdf_text observed=2026-08-11T14:07:16.151633Z digest=sha256:3b758b901a391f667267eb601d88350a384bf5f21d3b8c34f95902d4709e6b1c

Observation 778db84f-a612-44d3-b739-ccd305924f97 · inbound

Chimera: A Block-Based Neural Architecture Search Framework for Event-Based Object Detection cites this paper.

Chimera: A Block-Based Neural Architecture Search Framework for Event-Based Object Detection EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 41

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source=pdf_text observed=2026-08-11T00:10:11.731499Z digest=sha256:be3398d7c23768fe158da0c6815a7df7eeb37ca62e453e2c18791c6b10f44c86

Observation ce5a78ab-2418-4897-afd8-c61906f2784e · inbound

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis cites this paper.

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 21

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no resolver link, observed 2026-08-10T22:50:08.475187Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:08.475187Z digest=sha256:e18c8066ac0cebe890ca1f73627993d4d9fba8149d4d582c0c1b0cb95da5c24b

Observation 8d946543-2aa5-41ab-b464-9f20a21d24cf · inbound

Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging cites this paper.

Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 25

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no resolver link, observed 2026-08-10T22:34:56.941632Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:34:56.941632Z digest=sha256:bc93bc6ca688f154385327c9cd119bfe87861e6b797758849f952f8b2b3d94b3

Observation 5cf6f873-042f-4317-ad0c-4e5903be495b · inbound

AVS-Mamba: Exploring Temporal and Multi-modal Mamba for Audio-Visual Segmentation cites this paper.

AVS-Mamba: Exploring Temporal and Multi-modal Mamba for Audio-Visual Segmentation EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 48

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no resolver link, observed 2026-08-10T20:38:56.500611Z

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source=pdf_text observed=2026-08-10T20:38:56.500611Z digest=sha256:a119ad9f5a188149b4aef43c431b64356627098fa8ac1b7b113b1ae052bd26ee

Observation b5809af3-f36f-4d0c-9124-b96b3bb605ba · inbound

CD-Lamba: Boosting Remote Sensing Change Detection via a Cross-Temporal Locally Adaptive State Space Model cites this paper.

CD-Lamba: Boosting Remote Sensing Change Detection via a Cross-Temporal Locally Adaptive State Space Model EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 28

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no resolver link, observed 2026-08-10T14:19:14.432929Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:19:14.432929Z digest=sha256:c46a5fc03d4dd73bee3e6e5ec4082ee39d4bd36eb4ec06735af3483d13d5c447

Observation d908720d-f5d6-415c-a9a2-8945a4edf26b · inbound

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization cites this paper.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 23

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no resolver link, observed 2026-08-10T11:08:55.344254Z

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source=pdf_text observed=2026-08-10T11:08:55.344254Z digest=sha256:8de105afd4252c56f11e3bb4c6f86b705dc88bacf5eb7e92ed61072fed7e1cd1

Observation 7d0a776c-ba42-44fe-8301-06be5fcc2179 · inbound

Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing cites this paper.

Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 47

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no resolver link, observed 2026-08-09T18:28:47.924619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:28:47.924619Z digest=sha256:a166856ba5c3625e7244c3f9855bbe145acd8daf3ddfe343d586d73e17e8c442

Observation 9af92e6f-5a56-4bbb-9ec1-32acb9cf53de · inbound

Adaptive Dual-domain Learning for Underwater Image Enhancement cites this paper.

Adaptive Dual-domain Learning for Underwater Image Enhancement EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 29

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no resolver link, observed 2026-08-16T06:03:44.497250Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T06:03:44.497250Z digest=sha256:715723044bf56163955b60ac8d00dfa4cbd53914af0813318bfccb6e107c6ab7

Observation 6ed5ecd9-7135-4bd1-a1d8-bdd2c1728d14 · inbound

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification cites this paper.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 52

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no resolver link, observed 2026-08-07T11:56:32.831998Z

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source=pdf_text observed=2026-08-07T11:56:32.831998Z digest=sha256:4c2e0f1db8311a2c1bd8f308ee7a4b903e17479b15387777340138eb2abb6f89

Observation fdc8a898-f5cd-409b-97c7-cae8d67737db · inbound

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models cites this paper.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:15:13.199100Z digest=sha256:e1aca1bbc6bc80e960dcbd3bc6d80fcbd8276b14ec8ac1821f05f13f144b6fb7

Observation a2950387-485f-4054-be2f-61e641763b91 · inbound

QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models cites this paper.

QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 38

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source=arxiv_source observed=2026-08-06T17:59:30.230457Z digest=sha256:89c08b4cef91b45bf928d4ee3361df30ceda07f7181d394e4dfe88235b3d70af

Observation 94d2db7a-5144-42b7-86d3-4babb6999979 · inbound

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

Training-free Token Reduction for Vision Mamba EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 33

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:16:49.357719Z digest=sha256:b30098804eff1e43e67b0a0f6b6de2e4942b56c3a16d3a498db22b2a76236937

Observation 523e9910-7440-4ea0-979c-2bab3e480c39 · inbound

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

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 22

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no resolver link, observed 2026-08-06T14:35:41.202881Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:41.202881Z digest=sha256:629d06ef772815958cb7fe805c8b408beaf4918e50cdf4b309abc418f6d8b437

Observation 6187292d-47e2-401e-b890-4cc59bfedc32 · 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 EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 51

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:04:42.594952Z digest=sha256:09c77bfc02c1a512747101a5f2de2d0ca70cc20d6181f198ad7c136bca9bbf89

Observation e1e5a52a-243f-460c-bbcf-42898f39b90e · inbound

Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection cites this paper.

Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:36:22.631734Z digest=sha256:96aab36d90d428fc98ada6eb955409f7f53ae67148a1f877d67126dd73fe4b97

Observation 7c317bdf-2d7c-42ca-8244-5286236a622a · inbound

DIME-Net: A Dual-Illumination Adaptive Enhancement Network Based on Retinex and Mixture-of-Experts cites this paper.

DIME-Net: A Dual-Illumination Adaptive Enhancement Network Based on Retinex and Mixture-of-Experts EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 44

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no resolver link, observed 2026-08-05T18:55:18.418610Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:55:18.418610Z digest=sha256:b3b245f7c2f569951aaf073323a9c636196410c80490e699c524100fb4047f26

Observation 651cdc8c-e4b0-4cfd-9626-7ef120c20575 · inbound

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet cites this paper.

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 46

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arxiv_id, observed 2026-05-10T11:40:18.908379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T11:39:03.041265Z digest=sha256:7c376747b131df9bf1adf9863e3f401f37431e2bacbe4a6192169798d38bc013

Observation 9460be16-029b-4886-a2fe-3f2783e125c4 · inbound

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation cites this paper.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 50

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arxiv_id, observed 2026-07-01T14:25:47.191714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:f9ab356a83ef334a8cfcb4965fd58a5c4ae2890affdc6ce0a57a2c239cd38ad9

Observation d24f9ed9-27fc-4a6b-9ab4-f1c0503cc70b · inbound

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders cites this paper.

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 9

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arxiv_id, observed 2026-06-28T19:32:35.299964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T19:23:08.100056Z digest=sha256:2b30256358951361618f872e8b2d5dae40248273d7924186b2bee1df8a74c2eb