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Paper Citation Record · LEDGER

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality

As of 15 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 1 inbound Pith citation observation for arXiv:2411.15241.

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

pith.paper-citation-record.v1
2411.15241 v2

Coverage vector

measured 94 of 94 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:07:16.156455Z

measured 95 of 95 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:40:59.502890Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T13:41:00.351566Z

Reference resolution

94 of 94 outbound references displayed

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  • verified fuzzy56
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External citation measurements

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Outbound references

Observation b700c24e-3e78-4490-bd9e-d7863413457c · outbound

This paper cites Token merging: Your vit but faster.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Token merging: Your vit but faster

Reference 1

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Observation 8c1ef89a-86f4-45d9-9ba0-f76f36018dfd · outbound

This paper cites Dynamic relu.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Dynamic relu

Reference 2

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Observation 45c0648f-c15f-4e5b-bfe1-b4413d0bf69d · outbound

This paper cites Mobile- former: Bridging mobilenet and transformer.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Mobile- former: Bridging mobilenet and transformer

Reference 3

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Observation 15367d6e-fd4d-4c59-8bf3-b868c319060b · outbound

This paper cites vid-tldr: Training free token merging for light-weight video transformer.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality vid-tldr: Training free token merging for light-weight video transformer

Reference 4

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Observation 45433963-2ac3-475e-8640-a64f5d0705ef · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Xception: Deep learning with depthwise separable convolutions

Reference 5

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Observation 226cd8e0-72db-4fe1-9b0f-6e44903952b8 · outbound

This paper cites Rethinking attention with performers.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Rethinking attention with performers

Reference 6

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Observation 5b99d6ff-f049-497d-b85d-9ff4a56af388 · outbound

This paper cites Twins: Revisiting the design of spatial attention in vision transformers.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Twins: Revisiting the design of spatial attention in vision transformers

Reference 7

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Observation a6286f2b-a832-48a5-96e9-76b651c8d8ab · outbound

This paper cites Autoaugment: Learning augmentation strategies from data.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Autoaugment: Learning augmentation strategies from data

Reference 8

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Observation 7f934239-5afa-4596-9c52-ea4afaf29b55 · outbound

This paper cites Transformers are SSMs: Gen- eralized models and efficient algorithms through structured state space duality.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Transformers are SSMs: Gen- eralized models and efficient algorithms through structured state space duality

Reference 9

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Observation 109e2f3f-86b5-49a6-9347-3dff4f227ee9 · outbound

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

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Imagenet: A large-scale hierarchical image database

Reference 10

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Observation 1cf95e7b-e876-4bbe-89c7-5f938a05a5f1 · outbound

This paper cites Cswin transformer: A general vision transformer backbone with cross-shaped windows.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Cswin transformer: A general vision transformer backbone with cross-shaped windows

Reference 11

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Observation 8ef4906c-5721-4139-add1-243246a4eb8d · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 12

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Observation dc8523cc-8f59-4b26-af2f-4e5ede0aa040 · outbound

This paper cites Sharpness-aware training for free.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Sharpness-aware training for free

Reference 13

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Observation d0a742c1-22c8-4b36-a958-e0c2b4d6747e · outbound

This paper cites Hungry hungry hippos: To- wards language modeling with state space models.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Hungry hungry hippos: To- wards language modeling with state space models

Reference 14

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Observation c4da64bb-eaa4-4f30-964c-54fd6d739aa4 · outbound

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

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 15

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Observation ac081f86-a68a-4aaa-a5aa-2273c90ae45f · outbound

This paper cites Efficiently mod- eling long sequences with structured state spaces.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Efficiently mod- eling long sequences with structured state spaces

Reference 16

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Observation 9cb8ee7c-a876-4de4-81cf-fa7bd32201cb · outbound

This paper cites Demystify Mamba in Vision: A Linear Attention Perspective.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Demystify Mamba in Vision: A Linear Attention Perspective

Reference 17

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Observation 06214ed4-bf86-47ac-8058-49a254ca67bc · outbound

This paper cites Ghostnet: More features from cheap opera- tions.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Ghostnet: More features from cheap opera- tions

Reference 18

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Observation 70551748-310b-4c24-bd2a-8f105f3cc942 · outbound

This paper cites Deep residual learning for image recognition.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Deep residual learning for image recognition

Reference 19

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Observation aee7f3dd-2282-48e8-9f01-7a250ed180cb · outbound

This paper cites Mask r-cnn.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Mask r-cnn

Reference 20

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Observation 79d71409-a3ce-40cc-998a-0dd8afa3a403 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Gaussian Error Linear Units (GELUs)

Reference 21

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Observation cdb469ae-0f8d-4cbd-ae9a-18e1722ef515 · outbound

This paper cites Searching for mo- bilenetv3.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Searching for mo- bilenetv3

Reference 22

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Observation bc191a04-bb10-4f0b-a78b-f046d7215268 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 23

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Observation d80e00aa-e3ab-42b2-a2ba-54d81af439e9 · outbound

This paper cites You only segment once: To- wards real-time panoptic segmentation.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality You only segment once: To- wards real-time panoptic segmentation

Reference 24

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Observation 90151019-502c-44d5-afa7-e38defe85848 · outbound

This paper cites Densely connected convolutional net- works.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Densely connected convolutional net- works

Reference 25

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Observation cdca357d-ff5f-477f-b932-3311f1b0a57c · outbound

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

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality LocalMamba: Visual State Space Model with Windowed Selective Scan

Reference 26

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Observation 544cfa2d-34ee-4e3d-a4f3-b718575a27c5 · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 27

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Observation 1b0e2b1a-4769-4d87-ae74-a5ba13f3f6fd · outbound

This paper cites Perceiver: General perception with iterative attention.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Perceiver: General perception with iterative attention

Reference 28

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Observation bb13d214-9c1d-47fd-acf7-26171854780e · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 29

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Observation 6e9b5a09-afcf-4758-aad1-a4ce0213f2ba · outbound

This paper cites Panoptic feature pyramid networks.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Panoptic feature pyramid networks

Reference 30

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Observation e475c151-a9ef-4e19-9ae5-6eb7dbbc2711 · outbound

This paper cites Re- former: The efficient transformer.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Re- former: The efficient transformer

Reference 31

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Observation ce089e83-f7ca-41d0-95ac-3622827cd2e1 · outbound

This paper cites Deeply-supervised nets.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Deeply-supervised nets

Reference 32

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Observation ce004bfd-3aa8-4959-a815-1dc821871f9a · outbound

This paper cites Multi-criteria token fusion with one-step-ahead attention for efficient vision transformers.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Multi-criteria token fusion with one-step-ahead attention for efficient vision transformers

Reference 33

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Observation 65ec704d-7ec6-496f-a2dd-8cc189987690 · outbound

This paper cites Mimicking very efficient network for object detection.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Mimicking very efficient network for object detection

Reference 34

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Observation bb20a653-1d51-46ab-8120-77d9c19254ae · outbound

This paper cites Efficientformer: Vision transformers at mobilenet speed.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Efficientformer: Vision transformers at mobilenet speed

Reference 35

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Observation e82ce354-b109-4101-9525-f668a52a972b · outbound

This paper cites Re- thinking vision transformers for mobilenet size and speed.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Re- thinking vision transformers for mobilenet size and speed

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:15.923220Z digest=sha256:89ffcd8b3d4a0fc10751e42e5484ceccdefcf97389795d113ad4f4c106a52838

Observation 2383cf73-b70f-450b-b880-9ce30d7fca41 · outbound

This paper cites Microsoft coco: Common objects in context.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Microsoft coco: Common objects in context

Reference 37

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source=pdf_text observed=2026-08-12T15:07:15.927070Z digest=sha256:83bac65421fe667e2dde0d5df1bf6271dadb7b02f079afe4a935d8a9cb4a5fdf

Observation f40df806-3564-4ab2-a3d4-4e2e7b5cd933 · outbound

This paper cites Feature pyramid networks for object detection.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Feature pyramid networks for object detection

Reference 38

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:15.931157Z digest=sha256:955bb46f8d425a2d6abf32333dbb3412095294fe1c95c29dd0a32bb20ba8439f

Observation bf69749e-acf1-484b-9ce6-84628edf7e92 · outbound

This paper cites LinFusion: 1 GPU, 1 Minute, 16K Image.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 39

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source=pdf_text observed=2026-08-12T15:07:15.935114Z digest=sha256:ab9a7a27061a9bb2a9eac50961f064d77fbc70b1a1df30510f0310277c5d2b25

Observation 445a14df-b8d6-413b-b6bc-d35110a458d4 · outbound

This paper cites Efficientvit: Memory efficient vision transformer with cascaded group attention.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Efficientvit: Memory efficient vision transformer with cascaded group attention

Reference 40

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source=pdf_text observed=2026-08-12T15:07:15.939441Z digest=sha256:8b9f6f922b77bdfbded6fb42a131b2450ac6e7d1f00611fd7a164c0815df14cc

Observation c04d5301-60f9-42cb-ad35-a8e5d4c97815 · outbound

This paper cites Vmamba: Visual state space model.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Vmamba: Visual state space model

Reference 41

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:15.943351Z digest=sha256:f22d42bc54a25c8e9daa3a62f740b99f71def62eccad72fdc07ea8a752e36c3c

Observation c224af1c-bbfb-4c35-978a-cc19870cc46b · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Swin transformer: Hierarchical vision transformer using shifted windows

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:15.947212Z digest=sha256:b059c1472330ee956c8fa35b0283a1b626dc452cc9b084b7c86b24f4dee28fe9

Observation 7070273e-cb3e-4ce6-ae5e-305e40c76b34 · outbound

This paper cites Decoupled weight decay regularization.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Decoupled weight decay regularization

Reference 43

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source=pdf_text observed=2026-08-12T15:07:15.951470Z digest=sha256:9f9fc24c544a4e2e67c024c8d5d268779e63f0c87702559a269101fffd2ec403

Observation ee5aa2c4-6e7e-4521-8b75-23d264e6f0d2 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 44

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source=pdf_text observed=2026-08-12T15:07:15.955399Z digest=sha256:d2a106e5fedcaddb73fa363f0cf54e3bf7151dd22bab83e2fdc751faa61dab62

Observation faccea2f-7b3a-41cd-951b-977b0c1a5df9 · outbound

This paper cites Understanding the effective receptive field in deep convolu- tional neural networks.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Understanding the effective receptive field in deep convolu- tional neural networks

Reference 45

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:15.958957Z digest=sha256:5998ff5ecf450cf513c37731287d4f845b67607124fb1de2deae5eba4387052c

Observation 7f7573cd-7128-449e-bc23-1641d6aa6f85 · outbound

This paper cites Shufflenet v2: Practical guidelines for efficient cnn architec- ture design.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Shufflenet v2: Practical guidelines for efficient cnn architec- ture design

Reference 46

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raw_fallback, observed 2026-08-12T15:07:16.812443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:15.962356Z digest=sha256:f3dd38a4643153037bb6fd0863b8303a975745b84994972029752eaa6270196e

Observation f49950af-8000-41f7-8524-4f0da49468b5 · outbound

This paper cites Efficient modulation for vision net- works.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Efficient modulation for vision net- works

Reference 47

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raw_fallback, observed 2026-08-12T15:07:16.801668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:15.967409Z digest=sha256:c9d8a9d66647d0a8e48b6d0c7291588210d291c8ca7acda8db953489faacb6c1

Observation 1186f2b2-2254-4377-a292-b38c4e6256f7 · outbound

This paper cites Mobilevit: light- weight, general-purpose, and mobile-friendly vision trans- former.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Mobilevit: light- weight, general-purpose, and mobile-friendly vision trans- former

Reference 48

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raw_fallback, observed 2026-08-12T15:07:16.791002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:15.970557Z digest=sha256:2b446fb458332f07760e8d7db56ae63d1cedbe749612663ec7f06f75c477018a

Observation 98d1e366-d763-4145-bca0-b00fc4023175 · outbound

This paper cites Separable Self-attention for Mobile Vision Transformers.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Separable Self-attention for Mobile Vision Transformers

Reference 49

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source=pdf_text observed=2026-08-12T15:07:15.973700Z digest=sha256:8d3204a9a91108250faeb1b48e05357f216acf5ae42db9f8c113bfcbc25f8e82

Observation 2e7f3418-136c-4141-9697-6d0db54a0300 · outbound

This paper cites https://developer.apple.com/documentation/coreml,.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality https://developer.apple.com/documentation/coreml,

Reference 50

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raw_fallback, observed 2026-08-12T15:07:16.780165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:15.978578Z digest=sha256:e1a65b081d08fea4ef226176cf5bb8a65293707c3cb352613ebcc9ac2910f9f8

Observation 6fcea433-b226-4d29-bc55-ce6ce911791e · outbound

This paper cites Rectified linear units improve restricted boltzmann machines.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Rectified linear units improve restricted boltzmann machines

Reference 51

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raw_fallback, observed 2026-08-12T15:07:16.769301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:15.982931Z digest=sha256:beaec849e182fe088cbf47e3756a75ffc052219250dbba63922ca52f14ce5fc2

Observation daaa327f-f9f2-4522-9a64-8778be9a6713 · outbound

This paper cites Edgevits: Competing light-weight cnns on mobile devices with vision transformers.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Edgevits: Competing light-weight cnns on mobile devices with vision transformers

Reference 52

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raw_fallback, observed 2026-08-12T15:07:16.757909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:15.986402Z digest=sha256:8a35d834ca0e2d479ec31ff1cdcea54f56bb1e705ed9dd41efe8a35485fdd24c

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

This paper cites EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba.

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:f94d60569c5714246a1148d88eebbf4524b741f52f0e408a2928e021d4dfe8ef

Observation 2219d83f-8036-471e-b85b-0ae399738fba · outbound

This paper cites Designing network design spaces.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Designing network design spaces

Reference 54

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:15.993652Z digest=sha256:f4fca0d776da6615af0c84aef0143bf38a0860a9c07a3deb1b382084d07b0019

Observation 2a28ce05-85a0-4385-a85b-9052f3043d50 · outbound

This paper cites You only look once: Unified, real-time object detection.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality You only look once: Unified, real-time object detection

Reference 55

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source=pdf_text observed=2026-08-12T15:07:15.997731Z digest=sha256:6a87e7de59a1d8012419e18fae2f569c5306b74d11b2c6cccabb98acffc6b762

Observation 8318a14d-76f3-442c-b0ae-b841835963cb · outbound

This paper cites Focal loss for dense object detection.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Focal loss for dense object detection

Reference 56

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.001454Z digest=sha256:f12f3c8ed5b539902a966aa0733a936b20f76547e03edb99cb8feed76c2760ee

Observation c1669aa8-a880-4d4f-b7a6-6213a27454ba · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 57

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raw_fallback, observed 2026-08-12T15:07:16.718997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.004978Z digest=sha256:6a27c8458b630ff46110cc21390795c3d101776de98eb2ab361a1e8906b687aa

Observation 008d5cda-82a6-48ec-b2ac-dbd16046c6fa · outbound

This paper cites Swiftformer: Efficient additive attention for transformer- based real-time mobile vision applications.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Swiftformer: Efficient additive attention for transformer- based real-time mobile vision applications

Reference 58

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raw_fallback, observed 2026-08-12T15:07:16.708226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.008222Z digest=sha256:b86bd22da535303d8e4f95c21c53efe28278391a744074e4cfbd79e6c8cd4864

Observation 84e21508-106a-483b-9aa4-476fcecb6431 · outbound

This paper cites GroupMamba: Efficient Group-Based Visual State Space Model.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality GroupMamba: Efficient Group-Based Visual State Space Model

Reference 59

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source=pdf_text observed=2026-08-12T15:07:16.012535Z digest=sha256:62f00218a16f8f92d8b2cb6c9f275e6b90bf8d483065029e6d7eb478fdf15792

Observation 1861071c-a598-4b8d-a607-c5dfa4bf6a67 · outbound

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

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality VSSD: Vision Mamba with Non-Causal State Space Duality

Reference 60

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source=pdf_text observed=2026-08-12T15:07:16.017021Z digest=sha256:2bb7f03f706d1eca1f3976919ec961e55462245d1b4503695a41eef91701443c

Observation f988416a-5b9c-4c07-ac5e-231a05c79bb0 · outbound

This paper cites Multi-scale vmamba: Hierarchy in hierarchy visual state space model.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Multi-scale vmamba: Hierarchy in hierarchy visual state space model

Reference 61

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.021485Z digest=sha256:0e4033ebb79daa78ea7c5993cc7786669ec353a966d286080ee6513b85c55dc1

Observation dc51e64d-80a9-430b-ad59-eeef9e2358e7 · outbound

This paper cites Simplified state space layers for sequence modeling.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Simplified state space layers for sequence modeling

Reference 62

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.030736Z digest=sha256:61c07e9ff0c8a7454122fe844a86aa95801f09b8176496e7fb430c4070b37211

Observation ac27c990-9dd4-4d78-8831-7077c406f399 · outbound

This paper cites Rethinking the inception ar- chitecture for computer vision.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Rethinking the inception ar- chitecture for computer vision

Reference 63

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.035352Z digest=sha256:63a69ab068a5a46163425be1509c0c9baa9df8924cd548863881d77584f28d80

Observation ac0de31f-86e1-4860-aee3-910afa984a17 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 64

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.039608Z digest=sha256:1d3f2e285dca85542ee74d1a61616c6b5914f9026ff254dc5fa2d4f52ba7a500

Observation 1199a258-ad02-4271-80ec-a1d2b3b98989 · outbound

This paper cites Efficientdet: Scalable and efficient object detection.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Efficientdet: Scalable and efficient object detection

Reference 65

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.043435Z digest=sha256:f1a555879add7bb01a1beb58de95e5e4b272fd9458be8244c02ec1955fc3753f

Observation 0d74a80c-2216-4c9e-8323-b301c971448f · outbound

This paper cites Scalable Visual State Space Model with Fractal Scanning.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Scalable Visual State Space Model with Fractal Scanning

Reference 66

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source=pdf_text observed=2026-08-12T15:07:16.047428Z digest=sha256:533eaf63549af9862a5208c0657568762676e2a8c0053908488a053c91000345

Observation e9ac7900-b5fd-4339-91df-7c40319f0c4e · outbound

This paper cites Training data-efficient image transformers & distillation through at- tention.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Training data-efficient image transformers & distillation through at- tention

Reference 67

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.051837Z digest=sha256:6220812f49d2d892d6dae9fa305452222379a6d8afd0a56b9a44d8500912ea76

Observation e879b548-2750-4138-8a78-40cfe065bace · outbound

This paper cites Going deeper with im- age transformers.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Going deeper with im- age transformers

Reference 68

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.055907Z digest=sha256:7baa088d198ceace74d6b4a180bc23d17f62b4d52edbca201b2e727e648e58e1

Observation 956a02b7-da30-4674-b3ed-cfc3e585b2a2 · outbound

This paper cites Deit iii: Revenge of the vit.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Deit iii: Revenge of the vit

Reference 69

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raw_fallback, observed 2026-08-12T15:07:16.620012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.059638Z digest=sha256:4138c864268792cf47465dec734d1060070c6c73075a1d95fa8ff68003d2406d

Observation 7afd773c-b6eb-4e6f-b813-d61954d5a7f2 · outbound

This paper cites Fastvit: A fast hybrid vision transformer using structural reparameterization.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Fastvit: A fast hybrid vision transformer using structural reparameterization

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:07:16.063589Z digest=sha256:2f550077276c8fb17327a5c7d1371bb212d2c2ca37e8d111dd42c8f460c29431

Observation d8dc96f9-0d7f-4d11-85b5-cbe44c084774 · outbound

This paper cites Mobileone: An improved one millisecond mobile backbone.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Mobileone: An improved one millisecond mobile backbone

Reference 71

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raw_fallback, observed 2026-08-12T15:07:16.601249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.067749Z digest=sha256:f0b6e18752add0093a9a8223a44516d4f29f43167e7d9c18e1fa222124d9b119

Observation a1e17fe9-3637-48cd-8349-a8c84795876e · outbound

This paper cites Attention is all you need.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Attention is all you need

Reference 72

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raw_fallback, observed 2026-08-12T15:07:16.590497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.070990Z digest=sha256:ffd153d13f7d9ee8c1b8cfca690eee32e7cd40f9d13d7d38b615cfcc888df1ef

Observation 76cc8134-405a-427a-87d6-bcb00c9d302e · outbound

This paper cites Gold-yolo: Ef- ficient object detector via gather-and-distribute mechanism.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Gold-yolo: Ef- ficient object detector via gather-and-distribute mechanism

Reference 73

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.074455Z digest=sha256:2f7eda3b2efe5e5a9f3324a95cd7a05e3389a139a8ebdb3e81311056158d83e0

Observation d1193124-3f8c-487e-8791-9e3cfc8b42ee · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Linformer: Self-Attention with Linear Complexity

Reference 74

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no resolver link, observed 2026-08-12T15:07:16.077813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:07:16.077813Z digest=sha256:b0744e6e044817136668551077892e37e89bd8f733c0c20560772580a76f6a17

Observation e3e991b4-5bc2-4793-87cf-186ec3fbbbc9 · outbound

This paper cites Pvtv2: Improved baselines with pyramid vision transformer,.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Pvtv2: Improved baselines with pyramid vision transformer,

Reference 75

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raw_fallback, observed 2026-08-12T15:07:16.570174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.081855Z digest=sha256:8cb01483a1ad0c6aa4b660b53137850eed39d3d73bfdfb20e1c33fafff825f19

Observation 56d26193-f6ab-4f28-9e0b-da98f18823e6 · outbound

This paper cites Con- vnext v2: Co-designing and scaling convnets with masked autoencoders.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Con- vnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 76

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raw_fallback, observed 2026-08-12T15:07:16.558909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.086141Z digest=sha256:add2a5984d9c7fca5b4e293ef1b93053253428e7177e73a053241855a5c34292

Observation 24e92588-9139-4e19-b035-da904a6a6eba · outbound

This paper cites Segformer: Simple and ef- ficient design for semantic segmentation with transformers.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Segformer: Simple and ef- ficient design for semantic segmentation with transformers

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-12T15:07:16.548277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.096774Z digest=sha256:b8b76fa7bd7d2a50f1c845ca6c35fad65e9e7447fba274fb3cee73d3169d4d1c

Observation b626521b-89b2-4348-be82-118319d08640 · outbound

This paper cites Nystr¨omformer: A nystr¨om-based algorithm for approximat- ing self-attention.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Nystr¨omformer: A nystr¨om-based algorithm for approximat- ing self-attention

Reference 78

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raw_fallback, observed 2026-08-12T15:07:16.537487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.100081Z digest=sha256:6d1404a7b817b7d68a3715f66885b159c96afbe930f888a82618af096e2904a9

Observation bf892e34-84b2-41f2-851b-0b8d0e0e8cfd · outbound

This paper cites Efficientsam: Leveraged masked image pre- training for efficient segment anything.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Efficientsam: Leveraged masked image pre- training for efficient segment anything

Reference 79

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raw_fallback, observed 2026-08-12T15:07:16.525026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.103626Z digest=sha256:a07f7ac670c27da377121fe2bb5c6480dd8e384a06697044885625e55d04bd9b

Observation 64685515-5a0d-40c0-a5cf-3821e5e7d398 · outbound

This paper cites Pidnet: A real-time semantic segmentation network inspired by pid controllers.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Pidnet: A real-time semantic segmentation network inspired by pid controllers

Reference 80

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verified fuzzy
raw_fallback, observed 2026-08-12T15:07:16.513567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.107183Z digest=sha256:0659e842c553215769d0966581cd4ef0d667091a0505800b138849f0660f0e22

Observation 52427e86-bb00-4cb5-b6b1-e344947d1a77 · outbound

This paper cites Plainmamba: Improving non-hierarchical mamba in visual recognition.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Plainmamba: Improving non-hierarchical mamba in visual recognition

Reference 81

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verified fuzzy
raw_fallback, observed 2026-08-12T15:07:16.501796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.110651Z digest=sha256:9c8f0465eb4b7799fbf205d2bd66a28a9f2aa22d06d76147e826b4126c281e58

Observation 42ccc5aa-4d7c-4ffe-8b2b-59433aa379f3 · outbound

This paper cites A-vit: Adaptive tokens for efficient vision transformer.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality A-vit: Adaptive tokens for efficient vision transformer

Reference 82

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raw_fallback, observed 2026-08-12T15:07:16.490104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.114037Z digest=sha256:006dbc2f26fb6f3ef6036ef20ea472fcee1819cc52a422c55f553f2fa0884afd

Observation 623be505-eb60-4e54-94af-a7657b087d03 · outbound

This paper cites Metaformer is actually what you need for vision.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Metaformer is actually what you need for vision

Reference 83

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verified fuzzy
raw_fallback, observed 2026-08-12T15:07:16.479017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.117626Z digest=sha256:689f2778cd1dcba2be4092a6cd0570510736d89fc1152fb3c22ff40155fd9f11

Observation dec2d9e6-03a6-42af-91ae-44faadadf179 · outbound

This paper cites Shvit: Single-head vision transformer with memory efficient macro design.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Shvit: Single-head vision transformer with memory efficient macro design

Reference 84

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unresolved
no resolver link, observed 2026-08-12T15:07:16.120716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:07:16.120716Z digest=sha256:623752b5431c6797a5051d91d99f9d383d91403066096f61431fad9043c41a4a

Observation 6c7d9534-9ff6-4fbd-b65d-88169d219430 · outbound

This paper cites Cutmix: Regu- larization strategy to train strong classifiers with localizable features.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Cutmix: Regu- larization strategy to train strong classifiers with localizable features

Reference 85

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raw_fallback, observed 2026-08-12T15:07:16.448892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.127463Z digest=sha256:38163eede85231a432e093aa2d734fc8ce42048c941c105c5ae3b0be3280bde6

Observation 7c2c9809-28c2-44b1-8d43-57685938f050 · outbound

This paper cites mixup: Beyond empirical risk minimization.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality mixup: Beyond empirical risk minimization

Reference 86

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.130895Z digest=sha256:3828fe59e860b94e33aaec82f233d5af64b6440fddeaf6988a0ddf7041ff1cdd

Observation fde2f62c-725e-4225-8ad5-0c041f4b2bd2 · outbound

This paper cites Rethinking mobile block for ef- ficient attention-based models.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Rethinking mobile block for ef- ficient attention-based models

Reference 87

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.134482Z digest=sha256:163ba260d174bdab7db0bb82da40a66fc1fdde88b39f5bdb3b3f95893546a004

Observation 3150eb84-dbc8-4407-bc49-698083fbf342 · outbound

This paper cites Shufflenet: An extremely efficient convolutional neural net- work for mobile devices.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Shufflenet: An extremely efficient convolutional neural net- work for mobile devices

Reference 88

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raw_fallback, observed 2026-08-12T15:07:16.414356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.138289Z digest=sha256:8e247dcb4b6559c11653097849a6705fe64b40b4805a59bc66ea3d3ec4936501

Observation 62d33c38-99c7-4cc5-9691-aadb4e3ea12a · outbound

This paper cites Icnet for real-time semantic segmentation on high-resolution images.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Icnet for real-time semantic segmentation on high-resolution images

Reference 89

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raw_fallback, observed 2026-08-12T15:07:16.402392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.141990Z digest=sha256:d5dc5b44dae563dae65163c685679eb201fc701c76b3fecbdf5d4c425e41e49b

Observation 901f9bf8-3598-433a-b5a4-d3440e674e4d · outbound

This paper cites Random erasing data augmentation.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Random erasing data augmentation

Reference 90

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raw_fallback, observed 2026-08-12T15:07:16.390667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.145856Z digest=sha256:79809952a3c0dd35a9abce32ac2947715e42cb596f68ab467a86187e8fd3f39e

Observation 93d7486f-5e96-4413-9442-59f287a5b13b · outbound

This paper cites Scene parsing through ade20k dataset.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Scene parsing through ade20k dataset

Reference 91

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unresolved
no resolver link, observed 2026-08-12T15:07:16.149475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:07:16.149475Z digest=sha256:3b5daa63c27298b07a1192792ce8b731946444bd931a59b6314b2eed9ff4b480

Observation 2b741be9-fa70-4af1-bd6d-d8e5fc35bd37 · outbound

This paper cites Unet++: A nested u-net architecture for medical image segmentation.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Unet++: A nested u-net architecture for medical image segmentation

Reference 92

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raw_fallback, observed 2026-08-12T15:07:16.363923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.152949Z digest=sha256:aee615fc097b24cd4d04824a663474b28bb4abf5e81d56ab2c6bd38fec91adf9

Observation c428b5fc-e85a-4a01-94cd-d2d8c047b946 · outbound

This paper cites Vision mamba: Efficient visual representation learning with bidirectional state space model.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Vision mamba: Efficient visual representation learning with bidirectional state space model

Reference 93

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raw_fallback, observed 2026-08-12T15:07:16.351201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.156455Z digest=sha256:19b170290511ee0c1185ee88609fbe0744a00e002b67a3bba13383b0cfc0de23

Observation bc50abfa-7822-408b-9167-0cb244ca2404 · outbound

This paper cites an unresolved cited work.

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Unresolved cited work

Reference 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:07:16.124135Z digest=sha256:22439a4990b78131d7a3d024b44a05b4bb55824665883e908be2ccaa6d08db23

Pith citing papers

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

A Survey on Mamba Architecture for Vision Applications cites this paper.

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

Reference 29

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T13:40:59.502890Z digest=sha256:d758e92343ef69a6ad465b45a5185311224723b6b86ec4760cca404a7ddb19b0