Paper Citation Record · LEDGER

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

As of 11 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 9 inbound Pith citation observations for arXiv:2501.16583.

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

pith.paper-citation-record.v1
2501.16583 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T12:09:09.712338Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:41:51.399836Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T07:01:11.788404Z

Reference resolution

65 of 65 outbound references displayed

verified exact1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f197f3d0-8bc2-40ad-8274-52f2fef933de · outbound

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

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Low- complexity single-image super-resolution based on non- negative neighbor embedding

Reference 1

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Observation 57797881-7aef-4514-b364-8e0596de4148 · outbound

This paper cites ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 3

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Observation 237a32e2-b266-421b-b8f0-14a19dd59a3a · outbound

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

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Second-order attention net- work for single image super-resolution

Reference 5

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Observation bd814d9c-f116-4e03-a747-96e08c8ecb25 · outbound

This paper cites Removing rain from single images via a deep detail network.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Removing rain from single images via a deep detail network

Reference 10

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Observation a5333871-4178-4524-9fbe-7edc1930c683 · outbound

This paper cites Zero-reference deep curve estimation for low-light image enhancement.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Zero-reference deep curve estimation for low-light image enhancement

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.822003Z

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Observation 24be3b71-0eaf-4b09-aefa-4ccdf1ab3122 · outbound

This paper cites MambaIR: A Simple Baseline for Image Restoration with State-Space Model.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration MambaIR: A Simple Baseline for Image Restoration with State-Space Model

Reference 14

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Observation 1fdb9939-c531-45c4-af72-11cbc8e21f54 · outbound

This paper cites Latent degradation representation constraint for single image deraining.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Latent degradation representation constraint for single image deraining

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.805874Z

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Observation 4141beb4-c62f-4758-90ec-87e1552b58f2 · outbound

This paper cites Accelerating image super- resolution networks with pixel-level classification.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Accelerating image super- resolution networks with pixel-level classification

Reference 16

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Observation 40ec1fb2-4314-4c48-94b3-1d2ed47671dc · outbound

This paper cites Enlightengan: Deep light en- hancement without paired supervision.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Enlightengan: Deep light en- hancement without paired supervision

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.763838Z

Source-reported events for the cited work

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Observation c7304ddc-5af3-48e8-aff4-8441d3c176f9 · outbound

This paper cites A new approach to linear filtering and prediction problems.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration A new approach to linear filtering and prediction problems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.750700Z

Source-reported events for the cited work

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Observation 87dab015-b4b7-472e-bd83-27ffba88236e · outbound

This paper cites Recurrent squeeze-and-excitation context aggregation net for single image deraining.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Recurrent squeeze-and-excitation context aggregation net for single image deraining

Reference 22

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Observation 597e2d45-293f-4ebf-b4b1-fbf28037bac0 · outbound

This paper cites Low-light image and video enhancement using deep learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(12):9396–9416,.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Low-light image and video enhancement using deep learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(12):9396–9416,

Reference 24

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Observation f9073364-e1bd-4953-8f49-73e6d639b5b7 · outbound

This paper cites An efficient single image de-raining model with decoupled deep networks.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration An efficient single image de-raining model with decoupled deep networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.689701Z

Source-reported events for the cited work

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Observation c4f78c78-441a-4919-ac76-038d460c4b20 · outbound

This paper cites FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining

Reference 26

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Source-reported events for the cited work

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Observation d14b9718-2ea4-4807-a8ed-f4565addfb66 · outbound

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

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Enhanced deep resid- ual networks for single image super-resolution

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.634835Z

Source-reported events for the cited work

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Observation e2f35f6e-8874-474a-a6be-346046e8b3f2 · outbound

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

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration A database of human segmented natural images and its application to evaluat- ing segmentation algorithms and measuring ecological statistics

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.454751Z

Source-reported events for the cited work

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Observation 876719c8-35d4-486c-a6f4-a376e810ec0b · outbound

This paper cites Im- age super-resolution with cross-scale non-local attention and exhaustive self-exemplars mining.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Im- age super-resolution with cross-scale non-local attention and exhaustive self-exemplars mining

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.350919Z

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Observation d9ef4eb8-5cca-469d-88bb-1fe30492f751 · outbound

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

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Single image super-resolution via a holistic attention network

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.337538Z

Source-reported events for the cited work

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Observation 1ff0bd3c-31ef-457a-abeb-343756597031 · outbound

This paper cites SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T12:09:09.578073Z

Source-reported events for the cited work

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Observation ce2c17b3-d083-4c0e-8c37-ab8bde17b972 · outbound

This paper cites Cumulative rain density sensing network for single image derain.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Cumulative rain density sensing network for single image derain

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.323800Z

Source-reported events for the cited work

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Observation 4e0f16d2-a211-4cc3-831c-5580005e64de · outbound

This paper cites Ensemble single im- age deraining network via progressive structural boosting constraints.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Ensemble single im- age deraining network via progressive structural boosting constraints

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.308644Z

Source-reported events for the cited work

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Observation 4cba1e25-31af-4aa0-99eb-ecef7de224d6 · outbound

This paper cites Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution

Reference 35

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Observation 43652391-13bb-483b-9f97-2f43d80ab023 · outbound

This paper cites Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution

Reference 36

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Source-reported events for the cited work

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Observation 305b5ba9-f3a2-483b-a5b8-b6d006bc2262 · outbound

This paper cites Towards Realistic Data Generation for Real-World Super-Resolution.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Towards Realistic Data Generation for Real-World Super-Resolution

Reference 37

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Observation 607c1773-5882-433e-addf-e7cd3cb468fb · outbound

This paper cites VL-Mamba: Exploring State Space Models for Multimodal Learning.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration VL-Mamba: Exploring State Space Models for Multimodal Learning

Reference 38

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Observation 029ce570-5eb8-4887-a615-7b417ff93e66 · outbound

This paper cites Progressive image de- raining networks: A better and simpler baseline.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Progressive image de- raining networks: A better and simpler baseline

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.294873Z

Source-reported events for the cited work

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Observation 75e0d176-d8f8-4b68-ab87-541a2707e9e4 · outbound

This paper cites Real-world blur dataset for learning and benchmarking deblurring algorithms.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Real-world blur dataset for learning and benchmarking deblurring algorithms

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.281987Z

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Observation 001f2477-5f30-4248-ac7c-a7f8b44cb2a4 · outbound

This paper cites Retinex-inspired unrolling with cooperative prior architecture search for low-light im- age enhancement.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Retinex-inspired unrolling with cooperative prior architecture search for low-light im- age enhancement

Reference 41

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Observation 7728d1ba-cf69-4a92-a2fb-2414a06f30da · outbound

This paper cites Spatially-adaptive feature modulation for efficient image super-resolution.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Spatially-adaptive feature modulation for efficient image super-resolution

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.255062Z

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Observation 731d5de8-a0a8-436d-bcfb-6004b63e6c84 · outbound

This paper cites Vmrnn: Integrating vision mamba and lstm for efficient and accurate spa- tiotemporal forecasting.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Vmrnn: Integrating vision mamba and lstm for efficient and accurate spa- tiotemporal forecasting

Reference 43

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Observation 2dfadc84-efc9-441f-b152-314209bf5df5 · outbound

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

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Ntire 2017 challenge on single image super-resolution: Methods and results

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.229600Z

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Observation 2ce2a891-2230-4fb5-b164-f7146d8b8993 · outbound

This paper cites Multiframe image restoration and registration.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Multiframe image restoration and registration

Reference 45

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Observation d47653b6-d99e-40e4-8ebb-36b6a7a02eb9 · outbound

This paper cites A model-driven deep neural network for sin- gle image rain removal.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration A model-driven deep neural network for sin- gle image rain removal

Reference 47

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Source-reported events for the cited work

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Observation 207bdf07-8218-48c1-9872-28bd92014c68 · outbound

This paper cites Low-Light Image Enhancement with Normalizing Flow.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Low-Light Image Enhancement with Normalizing Flow

Reference 48

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Observation 06370cf8-9b01-4069-b204-e013f2e29b21 · outbound

This paper cites Uformer: A general u-shaped transformer for image restoration.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Uformer: A general u-shaped transformer for image restoration

Reference 49

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Observation c955bd94-eee8-4353-87d3-bfe07cd2a539 · outbound

This paper cites Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation

Reference 50

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Observation d7edf862-b1bd-458f-8675-a51d1dea5082 · outbound

This paper cites Deep retinex decomposition for low-light enhancement.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Deep retinex decomposition for low-light enhancement

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.160501Z

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Observation a2fddd7b-c05e-4b80-9a5a-4f43bd300780 · outbound

This paper cites Image de-raining transformer.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Image de-raining transformer

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.141848Z

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Observation a0704238-a64e-4b43-8c9d-6c86e6172bb8 · outbound

This paper cites Snr-aware low-light image enhancement.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Snr-aware low-light image enhancement

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.126675Z

Source-reported events for the cited work

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Observation 8fcedd48-ae2a-4c45-ba66-30b6af8cc56a · outbound

This paper cites Deep joint rain detection and removal from a single image.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Deep joint rain detection and removal from a single image

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.104948Z

Source-reported events for the cited work

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Observation 0c5015f3-dac6-4d8c-83f1-b45b55543ff1 · outbound

This paper cites From fidelity to per- ceptual quality: A semi-supervised approach for low-light image enhancement.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration From fidelity to per- ceptual quality: A semi-supervised approach for low-light image enhancement

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.091636Z

Source-reported events for the cited work

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Observation 98b6008e-5988-428d-bbe7-fd8c89159ef7 · outbound

This paper cites Sparse gradient reg- ularized deep retinex network for robust low-light image enhancement.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Sparse gradient reg- ularized deep retinex network for robust low-light image enhancement

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.079013Z

Source-reported events for the cited work

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Observation 98064721-a040-449d-a0c0-9f998a00068e · outbound

This paper cites Multi-stage progres- sive image restoration.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Multi-stage progres- sive image restoration

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.051962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4051ab24-ac22-429f-bd27-1988cbfad304 · outbound

This paper cites Learning image-adaptive 3d lookup tables for high performance photo enhancement in real- time.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Learning image-adaptive 3d lookup tables for high performance photo enhancement in real- time

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.037975Z

Source-reported events for the cited work

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Observation 5e82cc3e-2bf4-406d-ac3b-01345957215a · outbound

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

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration On single image scale-up using sparse- representations

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.021270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9761ff64-5529-4903-a3aa-321a703e3801 · outbound

This paper cites Kindling the darkness: A practical low-light image enhancer.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Kindling the darkness: A practical low-light image enhancer

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.004429Z

Source-reported events for the cited work

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Observation 3722d23f-254d-4a18-a61e-1a3fc708e5ed · outbound

This paper cites FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining

Reference 61

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Observation 38a48fc4-8c7e-4a49-ac07-dd86b7acf9c0 · outbound

This paper cites Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond

Reference 62

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Observation e99e9f8c-5128-45da-951b-0b970e70bd16 · outbound

This paper cites Lednet: Joint low-light enhancement and deblurring in the dark.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Lednet: Joint low-light enhancement and deblurring in the dark

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:09.987617Z

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Observation e9754927-b766-4e24-a178-025ee0ed7cd1 · outbound

This paper cites SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-Resolution.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-Resolution

Reference 64

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Observation aeb957b4-ce51-4710-bb4f-8da3635939a9 · outbound

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

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T12:09:09.712338Z

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Observation 0a0b605b-d923-47c3-8011-84b4e229077b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Adam: A Method for Stochastic Optimization

Reference 1960

Resolution: unresolved; no resolver link, observed 2026-08-10T12:09:09.520979Z

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Observation 10bbc42b-cefc-42aa-9cf5-4080e490215f · outbound

This paper cites Esrgan: Enhanced super-resolution generative adver- sarial networks.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Esrgan: Enhanced super-resolution generative adver- sarial networks

Reference 1984

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.202047Z

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Observation 578c4359-d064-47d4-bbfd-9fadc51a127f · outbound

This paper cites Sketch-based manga retrieval using manga109 dataset.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Sketch-based manga retrieval using manga109 dataset

Reference 2001

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.370425Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 141a835f-1723-47bf-bf3a-22f404c79c58 · outbound

This paper cites Classsr: A general framework to accelerate super-resolution networks by data charac- teristic.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Classsr: A general framework to accelerate super-resolution networks by data charac- teristic

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.738621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 65b691d7-c9ce-42a9-9cfc-9d7b12ab088c · outbound

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

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-10T12:09:09.471657Z

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Observation 96eeffe5-48bd-4129-bdff-de4a9fa47825 · outbound

This paper cites Rain streak removal via dual graph convolutional network.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Rain streak removal via dual graph convolutional network

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.838624Z

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Observation 262b5672-9d83-4cbb-b476-7381c4a8b05b · outbound

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

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T12:09:09.535165Z

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Observation 146911ed-7507-473a-9e2c-ff964daf471a · outbound

This paper cites Image super-resolution using deep convolutional networks.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Image super-resolution using deep convolutional networks

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.888366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2709badd-c6a1-4fde-9e49-a17537b2c6c2 · outbound

This paper cites A hybrid network of cnn and trans- former for lightweight image super-resolution.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration A hybrid network of cnn and trans- former for lightweight image super-resolution

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.874959Z

Source-reported events for the cited work

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Observation 0e71be53-c23b-49c6-a3e0-c022d2d1d7c6 · outbound

This paper cites SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising

Reference 2021

Resolution: verified exact; local_arxiv, observed 2026-08-10T12:09:09.943456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1c298963-9447-4f45-bb5c-41731e95e0cd · outbound

This paper cites You only need one color space: An efficient network for low-light image enhancement,.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration You only need one color space: An efficient network for low-light image enhancement,

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.863709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c7277204-efa6-4ed0-87c3-0cd93decdd55 · outbound

This paper cites Pre-trained image processing transformer.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Pre-trained image processing transformer

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.939103Z

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Observation 5f61efe7-d8a6-470c-b6c6-551ef2682144 · outbound

This paper cites Focal network for image restoration.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Focal network for image restoration

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.922314Z

Source-reported events for the cited work

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Observation 065e5f16-12fe-4477-9897-d3c60ea856e8 · outbound

This paper cites Multi-scale progressive fusion network for sin- gle image deraining.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration Multi-scale progressive fusion network for sin- gle image deraining

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:09:10.777411Z

Source-reported events for the cited work

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Pith citing papers

Observation e92fd0d3-1fec-4a76-8b5c-616f56773c00 · inbound

Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking cites this paper.

Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T12:41:51.399836Z

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Observation 8cc1a0de-d6ed-485e-ad72-523ac0ffe0df · inbound

Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment cites this paper.

Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T05:31:24.563650Z

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Observation 90ee6f21-4b6c-46d7-8f51-4b9382ff2a04 · inbound

Focus Through Motion: RGB-Event Collaborative Token Sparsification for Efficient Object Detection cites this paper.

Focus Through Motion: RGB-Event Collaborative Token Sparsification for Efficient Object Detection Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T10:40:00.577211Z

Source-reported events for the cited work

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Observation d5964011-e682-4ed8-b8fb-0514ca918c09 · inbound

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GS-STVSR: Ultra-Efficient Continuous Spatio-Temporal Video Super-Resolution via 2D Gaussian Splatting Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:40:19.489960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d82a8b57-cd00-494a-be80-d0ca60341956 · inbound

Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models cites this paper.

Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:40:40.185708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f57b57d7-c5a3-4f1b-bdab-c0f54c485181 · inbound

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Interactive State Space Model with Cross-Modal Local Scanning for Depth Super-Resolution Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:07:22.481330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c1caa3a2-2c85-4091-8e2d-efac45ce35ee · inbound

OP4KSR: One-Step Patch-Free 4K Super-Resolution with Periodic Artifact Suppression cites this paper.

OP4KSR: One-Step Patch-Free 4K Super-Resolution with Periodic Artifact Suppression Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:39:27.052983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7129214d-4367-4bd3-bacd-9d0af7872b37 · inbound

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EventGait: Towards Robust Gait Recognition with Event Streams Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:01:11.791694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a945bfea-a471-4a1e-bf39-9811676a5f2a · inbound

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Event-Illumination Collaborative Low-light Image Enhancement with a High-resolution Real-world Dataset Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:34:41.100209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.