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Paper Citation Record · LEDGER

Rotation Equivariant Mamba for Vision Tasks

As of 4 August 2026, this Paper Citation Record lists 93 of 93 outbound references and 1 inbound Pith citation observation for arXiv:2603.09138.

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

pith.paper-citation-record.v1
2603.09138 v2

Coverage vector

measured 93 of 93 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T13:44:43.436876Z

measured 94 of 94 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:02:58.747360Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

93 of 93 outbound references displayed

  • verified exact17
  • verified fuzzy75
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fc5fd794-d2f6-4ab0-97aa-88afbfd6c20d · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces.

Rotation Equivariant Mamba for Vision Tasks Mamba: Linear-time sequence modeling with selective state spaces

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 8be78c51-81cd-4b11-9bea-9d3dd662d6f1 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Rotation Equivariant Mamba for Vision Tasks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 2

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local_arxiv, observed 2026-05-15T13:45:52.133339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 99478dd3-e22e-4220-a7a1-61fb050dd5fc · outbound

This paper cites Deep residual learning for image recognition.

Rotation Equivariant Mamba for Vision Tasks Deep residual learning for image recognition

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation e542fc83-f601-41d7-9be7-7a75f7b3f321 · outbound

This paper cites Densely connected convolutional networks.

Rotation Equivariant Mamba for Vision Tasks Densely connected convolutional networks

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 1a61416e-b56e-4b51-9bad-3c821d9b3c81 · outbound

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

Rotation Equivariant Mamba for Vision Tasks Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 0aebc3fd-2664-412b-ae4c-c812a5673821 · outbound

This paper cites A convnet for the 2020s.

Rotation Equivariant Mamba for Vision Tasks A convnet for the 2020s

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 0cfe50b0-f1c4-4b74-9b53-76a4af6d70c5 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30.

Rotation Equivariant Mamba for Vision Tasks Attention is all you need.Advances in neural information processing systems, 30

Reference 7

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raw_fallback, observed 2026-05-15T13:45:52.785877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9b0747ee-8a58-4c72-bdab-ca66f4b39176 · outbound

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

Rotation Equivariant Mamba for Vision Tasks An image is worth 16x16 words: Transformers for image recognition at scale

Reference 8

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verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.997558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 29b101c8-c98e-4d8b-8f24-dfa63a738c0b · outbound

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

Rotation Equivariant Mamba for Vision Tasks Swin transformer: Hierarchical vision transformer using shifted windows

Reference 9

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raw_fallback, observed 2026-05-15T13:45:52.750117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 41f22dfb-513a-4795-b656-6eab45a95815 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.Advances in neural information processing systems, 34:572–585.

Rotation Equivariant Mamba for Vision Tasks Combining recurrent, convolutional, and continuous-time models with linear state space layers.Advances in neural information processing systems, 34:572–585

Reference 10

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raw_fallback, observed 2026-05-15T13:45:52.746330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7c1876f2-f71f-466f-859a-1efa97a8ec36 · outbound

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

Rotation Equivariant Mamba for Vision Tasks Efficiently Modeling Long Sequences with Structured State Spaces

Reference 11

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local_arxiv, observed 2026-05-15T13:45:52.103864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 5a4f25db-e938-443a-8de5-6a81975588a3 · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Rotation Equivariant Mamba for Vision Tasks Simplified State Space Layers for Sequence Modeling

Reference 12

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arxiv_id, observed 2026-05-16T08:16:11.899530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 800e9a5a-1558-438a-b164-a988c4ec5b2e · outbound

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

Rotation Equivariant Mamba for Vision Tasks Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 13

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local_arxiv, observed 2026-05-15T13:45:52.173473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation cf4a87d6-bd6c-4406-be04-0049e6d82242 · outbound

This paper cites Vmamba: Visual state space model.

Rotation Equivariant Mamba for Vision Tasks Vmamba: Visual state space model

Reference 14

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Source-reported events for the cited work

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Observation b741b844-d5fb-44c7-b457-f2792542b4dd · outbound

This paper cites Spatial-mamba: Effective visual state space models via structure- aware state fusion.

Rotation Equivariant Mamba for Vision Tasks Spatial-mamba: Effective visual state space models via structure- aware state fusion

Reference 15

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raw_fallback, observed 2026-05-15T13:45:52.735672Z

Source-reported events for the cited work

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Observation 20808abc-3ce1-4cbd-b656-016b0f24ff2c · outbound

This paper cites Polyline path masked attention for vision transformer.

Rotation Equivariant Mamba for Vision Tasks Polyline path masked attention for vision transformer

Reference 16

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verified exact
arxiv_id, observed 2026-05-15T13:45:52.097424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation a271235e-f44b-4b4d-b2aa-bf22cac686d3 · outbound

This paper cites Mambair: A simple baseline for image restoration with state- space model.

Rotation Equivariant Mamba for Vision Tasks Mambair: A simple baseline for image restoration with state- space model

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 0a985abf-310b-4258-9dda-19f3e45754e9 · outbound

This paper cites Visualizing and understanding convolutional networks.

Rotation Equivariant Mamba for Vision Tasks Visualizing and understanding convolutional networks

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 41f7292b-e6ec-4e36-9ab1-ceec49653878 · outbound

This paper cites Group equivariant convolutional net- works.

Rotation Equivariant Mamba for Vision Tasks Group equivariant convolutional net- works

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 0710f8b4-e752-4bd4-93a2-9ea0f038ef06 · outbound

This paper cites General e (2)-equivariant steerable cnns.Advances in neural information processing systems, 32.

Rotation Equivariant Mamba for Vision Tasks General e (2)-equivariant steerable cnns.Advances in neural information processing systems, 32

Reference 20

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raw_fallback, observed 2026-05-15T13:45:52.728105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 09ed75e7-e2a6-4910-aab7-d85dcb44d913 · outbound

This paper cites Pdo- econvs: Partial differential operator based equivariant convolutions.

Rotation Equivariant Mamba for Vision Tasks Pdo- econvs: Partial differential operator based equivariant convolutions

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation a3cc635b-b3af-426c-a89a-3bcf4f7f056d · outbound

This paper cites Fourier series ex- pansion based filter parametrization for equivariant convolutions.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4):4537– 4551.

Rotation Equivariant Mamba for Vision Tasks Fourier series ex- pansion based filter parametrization for equivariant convolutions.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4):4537– 4551

Reference 22

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raw_fallback, observed 2026-05-15T13:45:52.732000Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation dae70d1a-81dd-4fa5-bfff-32f2555f47ca · outbound

This paper cites Efficient equivariant network.Advances in Neural Information Processing Systems, 34:5290–5302.

Rotation Equivariant Mamba for Vision Tasks Efficient equivariant network.Advances in Neural Information Processing Systems, 34:5290–5302

Reference 23

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Observation 872fe28c-54f2-4a34-9f05-d6434fc9faee · outbound

This paper cites InUncertainty in Artificial Intelligence, pages 2356–.

Rotation Equivariant Mamba for Vision Tasks InUncertainty in Artificial Intelligence, pages 2356–

Reference 24

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 5b1f8762-689a-4bdc-862b-e36415f53b2a · outbound

This paper cites Steerable transformers for volumetric data.

Rotation Equivariant Mamba for Vision Tasks Steerable transformers for volumetric data

Reference 25

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arxiv_id, observed 2026-05-15T13:45:52.159761Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 4e18dce9-3607-4b53-93e6-6769b328b8cc · outbound

This paper cites Steerable CNNs.

Rotation Equivariant Mamba for Vision Tasks Steerable CNNs

Reference 26

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verified exact
local_arxiv, observed 2026-05-15T13:45:52.166606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 8ed2ec5d-70b8-42e0-a359-bf5df467c185 · outbound

This paper cites Harmonic networks: Deep translation and rotation equivariance.

Rotation Equivariant Mamba for Vision Tasks Harmonic networks: Deep translation and rotation equivariance

Reference 27

Resolution
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raw_fallback, observed 2026-05-15T13:45:52.983576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 29f5996e-1fa6-4289-8e69-416e3a33adfb · outbound

This paper cites Oriented response networks.

Rotation Equivariant Mamba for Vision Tasks Oriented response networks

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.978998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 4163532e-0319-47eb-b379-dd50e7efb4b4 · outbound

This paper cites Rotation equivariant vector field networks.

Rotation Equivariant Mamba for Vision Tasks Rotation equivariant vector field networks

Reference 29

Resolution
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raw_fallback, observed 2026-05-15T13:45:52.981407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:557ad93aee89ebffa684bc2ad2cc3219c96df6853c6c296572fad446229b32e3

Observation b29bb40b-7f11-43d1-a163-af4ec2eaf681 · outbound

This paper cites Learning steerable filters for rotation equivariant cnns.

Rotation Equivariant Mamba for Vision Tasks Learning steerable filters for rotation equivariant cnns

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.990839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 5aa20b37-aed8-44f5-9097-04d2d9e7ebc6 · outbound

This paper cites Group Equivariant Stand-Alone Self-Attention For Vision.

Rotation Equivariant Mamba for Vision Tasks Group Equivariant Stand-Alone Self-Attention For Vision

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:45:52.092166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7ec32d73-7451-4ea3-b91a-1d11811daeee · outbound

This paper cites Rotation equivariant arbitrary-scale image super-resolution.IEEE Transactions on Pattern Analysis and Machine Intelligence.

Rotation Equivariant Mamba for Vision Tasks Rotation equivariant arbitrary-scale image super-resolution.IEEE Transactions on Pattern Analysis and Machine Intelligence

Reference 32

Resolution
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raw_fallback, observed 2026-05-15T13:45:52.972063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation e2991fc5-650d-4444-90d5-c38ba40387d9 · outbound

This paper cites A regularization- guided equivariant approach for image restoration.

Rotation Equivariant Mamba for Vision Tasks A regularization- guided equivariant approach for image restoration

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.974407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:f357cc9e991029ecbdfe5f8100e043bf4b761af132eddfc0494f4fed0495baa4

Observation 2ac99b4e-8dbe-45da-8c99-121053de051f · outbound

This paper cites Spectral state space model for rotation-invariant visual representation learning.

Rotation Equivariant Mamba for Vision Tasks Spectral state space model for rotation-invariant visual representation learning

Reference 34

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raw_fallback, observed 2026-05-15T13:45:52.976842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:58b35f90ce3fc2a70eed4d7247f2e375d90174e6a2f03ed183c5c6d271890326

Observation 14de53e5-0212-454b-9202-00297a05572c · outbound

This paper cites Lietransformer: Equivariant self-attention for lie groups.

Rotation Equivariant Mamba for Vision Tasks Lietransformer: Equivariant self-attention for lie groups

Reference 35

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verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.960173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:d2e8734cae813a9982f74d798ef3280be30d68fe11db937920de1e25fbfe8b67

Observation 1664d3b5-0bb2-43d6-82fc-cef560dba83e · outbound

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

Rotation Equivariant Mamba for Vision Tasks Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.963334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:602c71061e5df25987f368fa80e7bb7c4c7b4c7039324ccd7920eb991949548d

Observation 29da8eb4-f087-448d-afa9-12c1055293fa · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Rotation Equivariant Mamba for Vision Tasks Generating Long Sequences with Sparse Transformers

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-15T13:45:52.163428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:68c59f1ca81d1f26d98073f47bc9e57447046a0c7b7c8cd8d84452da9b4b249d

Observation 0d7f35d2-46a7-4feb-9ecc-345f6b9b8f46 · outbound

This paper cites Long short-term memory.

Rotation Equivariant Mamba for Vision Tasks Long short-term memory

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.966101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:1d75030cc0aa0996335a426e38799bba537df2f7bb101882333935e0d297af6c

Observation 7dce2244-3e26-467b-8395-b5e36f6f6572 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Rotation Equivariant Mamba for Vision Tasks RWKV: Reinventing RNNs for the Transformer Era

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-15T13:45:52.082370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:1bc692299e9ab27d26a5e6445a5173c788aa49bcca847b86579ee8c4507d222d

Observation ff4c7672-3287-42e8-be74-3017b1746b3b · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

Rotation Equivariant Mamba for Vision Tasks Retentive Network: A Successor to Transformer for Large Language Models

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-15T13:45:52.170179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:9a7f337fab463fb4511024789dc68ce583bf4fab8fa9b53f1b307de69b97c817

Observation 57f901e5-4d44-4de9-9b02-88d9a5ef6a81 · outbound

This paper cites Localmamba: Visual state space model with windowed selective scan.

Rotation Equivariant Mamba for Vision Tasks Localmamba: Visual state space model with windowed selective scan

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.945344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:df95a6325ea2d35c9132edf196aad83ad68e2c2c2436c659f185581728c83026

Observation 3b812676-a9d5-470c-8d69-c4bee4fe0956 · outbound

This paper cites Multi-scale vmamba: Hierarchy in hierarchy visual state space model.Advances in Neural Information Processing Systems, 37:25687–25708.

Rotation Equivariant Mamba for Vision Tasks Multi-scale vmamba: Hierarchy in hierarchy visual state space model.Advances in Neural Information Processing Systems, 37:25687–25708

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.969277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:8635ee23d4c054ffecde7fd39a99e8c85af0aa5cfea9e6bc66ca1a100f20eb4e

Observation b460cf31-b785-467d-88a2-36c12537da82 · outbound

This paper cites Demystify mamba in vision: A linear attention perspective.Advances in neural information processing systems, 37:127181–127203.

Rotation Equivariant Mamba for Vision Tasks Demystify mamba in vision: A linear attention perspective.Advances in neural information processing systems, 37:127181–127203

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.948338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:82239c1c60dc77ffe25a165ee39c4b03629d3e0b6762f2847448f137d59496cc

Observation dba363d3-0e87-453f-a6cc-66f3c85b8dda · outbound

This paper cites MambaIRv2: Attentive State Space Restoration.

Rotation Equivariant Mamba for Vision Tasks MambaIRv2: Attentive State Space Restoration

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:45:52.110464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:aa3fb425846c8da2362601f800ee970b908498a2d78b70a95f11dcbcdce119af

Observation d41dbe38-c9b8-46c0-af45-87fbdc022ed9 · outbound

This paper cites Freqmamba: Viewing mamba from a frequency perspective for image deraining.

Rotation Equivariant Mamba for Vision Tasks Freqmamba: Viewing mamba from a frequency perspective for image deraining

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.939336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:062501271ef7b792a728be2b6330a2e64619a90a7fe310e54f5c4f716299c7f7

Observation c6e33d6b-1278-4b6a-a828-8509676b99a2 · outbound

This paper cites DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis.

Rotation Equivariant Mamba for Vision Tasks DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:45:52.147509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:8c2876508cb3e505c97ddcb34f9e435f67f3eb45fb52e0fe13d09feef0ae5af1

Observation 74cab95d-3223-4ec1-820d-5ca3bb41752f · outbound

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

Rotation Equivariant Mamba for Vision Tasks Videomamba: State space model for efficient video understanding

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.935616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:a190fc35d28f5129e20d8ecf6064ce1c4a70b2b0969db00a2d8eed7b5d381f71

Observation 744fb19d-8810-4540-b9f8-f806dd31ce55 · outbound

This paper cites Samba: Semantic segmentation of remotely sensed images with state space model.Heliyon, 10(19).

Rotation Equivariant Mamba for Vision Tasks Samba: Semantic segmentation of remotely sensed images with state space model.Heliyon, 10(19)

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.942414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:61f6cf5f8c9199b05dbdab048e3277f8dd6843e08140326caa8718371ab1abc3

Observation 86a0dce2-7cd4-4cfb-af27-c708bf8e2d74 · outbound

This paper cites Rs-mamba for large remote sensing image dense prediction.IEEE Transactions on Geoscience and Remote Sensing.

Rotation Equivariant Mamba for Vision Tasks Rs-mamba for large remote sensing image dense prediction.IEEE Transactions on Geoscience and Remote Sensing

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.952286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:1f446709f526b9dd75815983788a1c0ec6656e754033c4173acea8bbf7ed59b5

Observation 8013e30b-1871-41f8-89d4-1c0a15bfaee2 · outbound

This paper cites Pointmamba: A simple state space model for point cloud analysis.Advances in neural information processing systems, 37:32653–32677.

Rotation Equivariant Mamba for Vision Tasks Pointmamba: A simple state space model for point cloud analysis.Advances in neural information processing systems, 37:32653–32677

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.928529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:cd797b7f83e8412da9c1f848cff9e7986299dbf9558f71a07777b396cb531e36

Observation e173790c-05b7-406f-9d69-daed393d66e6 · outbound

This paper cites V oxel mamba: Group-free state space models for point cloud based 3d object detection.Advances in Neural Information Processing Systems, 37:81489–81509.

Rotation Equivariant Mamba for Vision Tasks V oxel mamba: Group-free state space models for point cloud based 3d object detection.Advances in Neural Information Processing Systems, 37:81489–81509

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.986172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:b224e08e32a51ab4afc451aa84e149b0face15ca84443d53b9929e4cc4953e7a

Observation efc5c234-bae6-41bc-a9a5-b96272b1b048 · outbound

This paper cites Vm-unet: Vision mamba unet for medical image segmentation.ACM Transactions on Multimedia Computing, Communications and Applications.

Rotation Equivariant Mamba for Vision Tasks Vm-unet: Vision mamba unet for medical image segmentation.ACM Transactions on Multimedia Computing, Communications and Applications

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.988689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:c95757be1dd2a8beb07d32f9bffac79fdf562bbed3de21041e8965c5b3a7400c

Observation bfd9c614-c32d-4838-ad0f-3309bf87b624 · outbound

This paper cites Swinir: Image restoration using swin transformer.

Rotation Equivariant Mamba for Vision Tasks Swinir: Image restoration using swin transformer

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.924962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:2e64c23ea6bc2154cc7ef28f1dbc3efe73c67bccba91e37e86f8b4128cd4799b

Observation 30b1789e-9ae4-4674-956e-a406308ca3f9 · outbound

This paper cites Srformer: Permuted self-attention for single image super- resolution.

Rotation Equivariant Mamba for Vision Tasks Srformer: Permuted self-attention for single image super- resolution

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.932503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:41eedfe55f2bde8cc7610c333df2ae3137ea51ee25feab3f59d4ee6b1549a388

Observation 16e31ad7-057a-49dd-b1f4-91621004211c · outbound

This paper cites Ti-pooling: transformation-invariant pooling for feature learning in convolutional neural networks.

Rotation Equivariant Mamba for Vision Tasks Ti-pooling: transformation-invariant pooling for feature learning in convolutional neural networks

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.917882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:1adfe449876a6155c29726b5ca25a9b02816844db037c5ad56cdbc51736a4dee

Observation 3afd6b78-1772-4845-8369-6d04bf88ab46 · outbound

This paper cites Learning Invariant Representations with Local Transformations.

Rotation Equivariant Mamba for Vision Tasks Learning Invariant Representations with Local Transformations

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-15T13:45:52.155975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:73b646770197c9972826f19a73466e5fc9cc02ad120ce905c12c1d100d6d071e

Observation 0333eb1c-8e8e-4e62-b589-a2d54cea7744 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25.

Rotation Equivariant Mamba for Vision Tasks Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.995456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:dde62012d6a4abfa50b06739d09abdc172d60ef917ffc228f6c76615b0dcc7c4

Observation 20a6ac40-551e-4f37-96ae-95093dc64d23 · outbound

This paper cites HexaConv.

Rotation Equivariant Mamba for Vision Tasks HexaConv

Reference 58

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T13:45:52.127871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:45f0833212970c50165e992ae00f0177f5593c90aab9b8d335f27d52cbd4d848

Observation 23abc67c-c489-4b7a-b80a-724b2f3ae828 · outbound

This paper cites Pdo- es2cnns: Partial differential operator based equivariant spherical cnns.

Rotation Equivariant Mamba for Vision Tasks Pdo- es2cnns: Partial differential operator based equivariant spherical cnns

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.914332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:95a7b28677cc60e37486795bad5e4c4f345e57e0669106575923b63628a4f4b0

Observation d2acd2d9-5d1e-4177-a1e3-f4904dcd7903 · outbound

This paper cites Universal equivariant multilayer perceptrons.

Rotation Equivariant Mamba for Vision Tasks Universal equivariant multilayer perceptrons

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.819446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:9c6f4e3ac5fc8fbb647569a60a68c2c9f954a2b262675400c283ed100886702d

Observation c76beb18-578f-4761-a06d-c20a070f7584 · outbound

This paper cites Unified perceptual parsing for scene understanding.

Rotation Equivariant Mamba for Vision Tasks Unified perceptual parsing for scene understanding

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.993044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:d28f851bd13f767cfbb5ec24633d386857a45a4c38872d7f28f2d77193a8ec08

Observation 763f62a6-e914-4fb8-a629-bcc81d14fd33 · outbound

This paper cites Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network.

Rotation Equivariant Mamba for Vision Tasks Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.888745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:46c727323dd1a0da72cd0f73ea3a920889a81202ce19dc7fc32236d76fce76b8

Observation 6fb42f14-c416-4252-a028-3d5ef369262d · outbound

This paper cites Squeeze-and-excitation networks.

Rotation Equivariant Mamba for Vision Tasks Squeeze-and-excitation networks

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.901661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:e1919e077f5a247a36e0170792351576e980b6690466b1ad15e3231b7f35d351

Observation f6632ecc-560c-4ac1-881f-c5f8e1ec3934 · outbound

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

Rotation Equivariant Mamba for Vision Tasks Training data-efficient image transformers & distillation through attention

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.897530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:ea3e42be394869940a639f2eb29901e831325dd8dd8f6a12ae4238a5e9ee88a8

Observation ccc184d4-1953-4e7e-8e88-3427a5b0cacf · outbound

This paper cites Xcit: Cross-covariance image trans- formers.Advances in neural information processing systems, 34:20014– 20027.

Rotation Equivariant Mamba for Vision Tasks Xcit: Cross-covariance image trans- formers.Advances in neural information processing systems, 34:20014– 20027

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.852547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:4b5353de8e7ad52074b169464904d33b97954bb23bbc9e72e7eb50b5f95331dc

Observation 40598585-4931-4056-9b6f-a46c3bf1b259 · outbound

This paper cites Imagenet100 (kaggle dataset).

Rotation Equivariant Mamba for Vision Tasks Imagenet100 (kaggle dataset)

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.849356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:80cfc0b5e18e1ce4e6c78b1f477a463704b22b2ce2a1d0eb8bdb891221c8910a

Observation e01b7c7e-0947-4f8d-a19e-b2a6fa84a4c9 · outbound

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

Rotation Equivariant Mamba for Vision Tasks Imagenet: A large-scale hierarchical image database

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.893387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:a07a63c2454c63b8bcccf71cb34d8aa21eab3d7bff08ccc42db7172189ed1f6b

Observation 9e78a156-50bb-4c41-861f-24a76d5e4b4a · outbound

This paper cites Decoupled Weight Decay Regularization.

Rotation Equivariant Mamba for Vision Tasks Decoupled Weight Decay Regularization

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-05-15T13:45:52.087066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:f0a821033d38a976fc36039397f4931007d2084e7ef0c6ff38e547fc9d4e35b4

Observation 91dd701f-86af-49cd-90fc-2e6d9c92f35b · outbound

This paper cites Acceleration of stochastic approximation by averaging.SIAM journal on control and optimization, 30(4):838–855.

Rotation Equivariant Mamba for Vision Tasks Acceleration of stochastic approximation by averaging.SIAM journal on control and optimization, 30(4):838–855

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.875711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:0df19954f76f1bae0e4b5835efdf6f510b5a51aa16707233deb888c3784cbc61

Observation 7ab4ded2-e6e5-45fa-b9c1-ccf8b7571771 · outbound

This paper cites Scene parsing through ade20k dataset.

Rotation Equivariant Mamba for Vision Tasks Scene parsing through ade20k dataset

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.713490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:797d3f85c053298668d8f2dbd06bc8b93f5b54451e89b6d4b4f5a23b0d8054cf

Observation 49e2bcd3-d8ca-4e69-a007-29fe0099b435 · outbound

This paper cites The pascal visual object classes (voc) challenge.

Rotation Equivariant Mamba for Vision Tasks The pascal visual object classes (voc) challenge

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.721466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:f0520d09d03f445414913d57c1ff1547727ec156457bebd173f27f5a60b3be67

Observation ae147016-6260-4ac5-b101-23b57a808e24 · outbound

This paper cites The cityscapes dataset for semantic urban scene under- standing.

Rotation Equivariant Mamba for Vision Tasks The cityscapes dataset for semantic urban scene under- standing

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.842683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:7914034ee9ad0803351157dbb5ec8c18849b1fbf47aa2660ce57eb3bf1fef3be

Observation 87334586-f0d9-4dcf-8277-66cef0662d16 · outbound

This paper cites Coco-stuff: Thing and stuff classes in context.

Rotation Equivariant Mamba for Vision Tasks Coco-stuff: Thing and stuff classes in context

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.717968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:050ea20e571d3b62237e9c3fe16b3dda8fee3ebbee12b91cabc5a127944d24e1

Observation 768bfaff-b94e-4013-b409-f4460e0bc8b1 · outbound

This paper cites LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation.

Rotation Equivariant Mamba for Vision Tasks LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:45:52.122055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:c716de339391da1c80adf33980d8de3a8a78e215d5ae045125a59716ff0a07ad

Observation 4105f0f3-e2fe-4b34-9792-79c08890f3ca · outbound

This paper cites The isprs benchmark on urban object classification and 3d building reconstruction.

Rotation Equivariant Mamba for Vision Tasks The isprs benchmark on urban object classification and 3d building reconstruction

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.839611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:5e9396f4b1d77978dade80e32f88b7e323a33c15599175ed9b64b243eae698d6

Observation c2d2e321-0d87-45ec-833b-a24bfcebded6 · outbound

This paper cites Mmsegmentation, an open source semantic segmentation toolbox.

Rotation Equivariant Mamba for Vision Tasks Mmsegmentation, an open source semantic segmentation toolbox

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.845955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:5d1af81b5000413277cfd8f39efad7992019a23e0a9127203facbe82a13fb1f8

Observation b10a069f-30d7-4dde-bf17-88f4dab40053 · outbound

This paper cites Enhanced deep residual networks for single image super- resolution.

Rotation Equivariant Mamba for Vision Tasks Enhanced deep residual networks for single image super- resolution

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.882990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:77b902e833f32cb857f9afecb374e1a688fe532d9d63b740fae16707c315ab52

Observation e73939a8-f539-4306-98a4-4dc89f2e31aa · outbound

This paper cites Image super-resolution using very deep residual channel attention networks.

Rotation Equivariant Mamba for Vision Tasks Image super-resolution using very deep residual channel attention networks

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.904876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:79855a45a221adc8d9e41db5a677483191d28be3f12190c0b2996f50494392c8

Observation e4c66b54-9ee7-40e2-b18c-5eea37a8c1ef · outbound

This paper cites Second-order attention network for single image super-resolution.

Rotation Equivariant Mamba for Vision Tasks Second-order attention network for single image super-resolution

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.827736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:84543066605f63b1cbc9a72910c41fa2a44b375f4fdbcd078a08f258f911923f

Observation 5ca78e5f-5714-4372-8ba5-bb5020589baa · outbound

This paper cites Single image super-resolution via a holistic attention network.

Rotation Equivariant Mamba for Vision Tasks Single image super-resolution via a holistic attention network

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.823751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:d38d60eab899737984a85978ad4d15d6316d4b2cddcce1f798863f2155df50d3

Observation acee7b89-6e90-45ca-bd2f-d39ae5231d33 · outbound

This paper cites Pre- trained image processing transformer.

Rotation Equivariant Mamba for Vision Tasks Pre- trained image processing transformer

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.831341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:79da166a598a095c069324541fac5a6ce0aaf8c5b540b7c810708df0d8b6a150

Observation 2143b22b-b3ad-40bb-b8b1-040998d92b03 · outbound

This paper cites On Efficient Transformer-Based Image Pre-training for Low-Level Vision.

Rotation Equivariant Mamba for Vision Tasks On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:45:52.115640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:17b6e5b13a5e0389eb3284fc02906abaa6663b6eb014d7ab9a08bcb7b23330b2

Observation 111b1f92-03ea-4f3a-9e81-15c283157182 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Methods and results.

Rotation Equivariant Mamba for Vision Tasks Ntire 2017 challenge on single image super-resolution: Methods and results

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.834708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:e86e43e056144b7ac5f08ee61270e6d495d7f4027c29d8e60dc71cb4844dd00b

Observation c7e551e3-beb9-4bb2-9978-64eb10997d3a · outbound

This paper cites Low-complexity single-image super-resolution based on nonnegative neighbor embedding.

Rotation Equivariant Mamba for Vision Tasks Low-complexity single-image super-resolution based on nonnegative neighbor embedding

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.812023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:0dc248032708da686b73c54ca95c279c68c25a83c8c4e343f56aebab0a023cf1

Observation 09768b22-4006-4ae3-be44-05549125a958 · outbound

This paper cites On single image scale-up using sparse-representations.

Rotation Equivariant Mamba for Vision Tasks On single image scale-up using sparse-representations

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.803215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:55a9fbbbc70d8f34737768ff79e1c2f7ef5712b98f51574cf79b8c167bb921e6

Observation 1af348e9-6e68-421e-bc13-5f83792b53c6 · outbound

This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics.

Rotation Equivariant Mamba for Vision Tasks A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.956482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:0448544106c06ee28cef8097c44138997a616d5475e8a1e4ca00a2adc929349f

Observation 3f0dbbda-8eef-4178-ac11-51e843a6b892 · outbound

This paper cites Single image super-resolution from transformed self-exemplars.

Rotation Equivariant Mamba for Vision Tasks Single image super-resolution from transformed self-exemplars

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.908996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:279e2736928c8aca43516c0ac0e0bbcf8c996c2803a563c7ba2a6084b4711f49

Observation a9a70d62-bfa9-45e3-a758-d81f9917e322 · outbound

This paper cites Sketch-based manga re- trieval using manga109 dataset.Multimedia Tools and Applications, 76:21811–21838.

Rotation Equivariant Mamba for Vision Tasks Sketch-based manga re- trieval using manga109 dataset.Multimedia Tools and Applications, 76:21811–21838

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.798104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:4be134e654e0a151b0b77254624b714a40680189ed4765073db55b38b0558db5

Observation 76a9c933-4c6e-4dad-bc63-9f34323975a9 · outbound

This paper cites Fast, accurate, and lightweight super-resolution with cascading residual network.

Rotation Equivariant Mamba for Vision Tasks Fast, accurate, and lightweight super-resolution with cascading residual network

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.806618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:4db761667064dde196063cebefda7c10bf7751b403d86f968782e866b0bce9ec

Observation f4ee3422-fa61-429e-9c2d-2bf392d18703 · outbound

This paper cites Lightweight image super-resolution with information multi-distillation network.

Rotation Equivariant Mamba for Vision Tasks Lightweight image super-resolution with information multi-distillation network

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.815757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:dc53c89e21216ecdd08194483f221de37a209a3680aa0a9749e44f68aa61c9f3

Observation 7779bc46-6ff2-47f6-98ef-944148763975 · outbound

This paper cites Lapar: Linearly-assembled pixel-adaptive regression network for single image super-resolution and beyond.Advances in Neural Information Processing Systems, 33:20343–20355.

Rotation Equivariant Mamba for Vision Tasks Lapar: Linearly-assembled pixel-adaptive regression network for single image super-resolution and beyond.Advances in Neural Information Processing Systems, 33:20343–20355

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.999873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:7b1d2df6f257e90cf48b556596af5d01f6f6fb71991370c4545c06a07ba6f3b5

Observation ffd5f919-b961-44b2-897f-5a96d68dd7ce · outbound

This paper cites Latticenet: Towards lightweight image super-resolution with lattice block.

Rotation Equivariant Mamba for Vision Tasks Latticenet: Towards lightweight image super-resolution with lattice block

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.789618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:54cfc44cc7300bb49a52beb1d0f38cdb104954b0927187a689ce843436ec2e2d

Observation 85a0000c-3851-4de2-ae2c-83a0ad4240be · outbound

This paper cites Efficient long-range attention network for image super-resolution.

Rotation Equivariant Mamba for Vision Tasks Efficient long-range attention network for image super-resolution

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T13:45:52.793134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:d6122c123d5dc89bf2ac642dd999ef5ba0456f62543ac1818308c98ea864a502

Pith citing papers

Observation faf4336e-46df-4ef8-9461-fb585b64c717 · inbound

Flash EQ-Linear: Accelerating Equivariant Linear Layers via Group-wise Discrete Fourier Transform cites this paper.

Flash EQ-Linear: Accelerating Equivariant Linear Layers via Group-wise Discrete Fourier Transform Rotation Equivariant Mamba for Vision Tasks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T08:02:58.747360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:02:58.747360Z digest=sha256:e8b6510cb2e406b0c622e41345e5d652de5cd16baa8366176d9fe5959d683f32