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Paper Citation Record · LEDGER

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation

As of 24 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 2 inbound Pith citation observations for arXiv:2412.15845.

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

pith.paper-citation-record.v1
2412.15845 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:05:04.055570Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:56.795087Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:20:13.339300Z

Reference resolution

71 of 71 outbound references displayed

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  • unresolved34
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81cfe5ef-6a5f-4ff0-8eac-382a56883f75 · outbound

This paper cites Hy- perspectral image denoising via self-modulating convolutional neural networks,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Hy- perspectral image denoising via self-modulating convolutional neural networks,

Reference 1

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Observation 228589c7-33df-428b-b737-e635f0dccd6a · outbound

This paper cites Multi- stage image denoising with the wavelet transform,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Multi- stage image denoising with the wavelet transform,

Reference 2

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Source-reported events for the cited work

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

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Observation 604dd8b7-c7f5-4d28-a8df-e9e262b0404b · outbound

This paper cites Blind2unblind: Self-supervised im- age denoising with visible blind spots,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Blind2unblind: Self-supervised im- age denoising with visible blind spots,

Reference 3

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Observation 7dc417fc-7d5e-4dff-b26f-7670a0de0245 · outbound

This paper cites Hybrid transformer-cnn for real image denoising,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Hybrid transformer-cnn for real image denoising,

Reference 4

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Source-reported events for the cited work

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Observation 7b69d3ac-1eb9-4903-8bb0-59737246a3f7 · outbound

This paper cites Efficient and accu- rate multi-scale topological network for single image dehazing,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Efficient and accu- rate multi-scale topological network for single image dehazing,

Reference 5

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Source-reported events for the cited work

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Observation 40f919d9-942d-4c1b-912e-f28680ca26c0 · outbound

This paper cites Single uhd image dehazing via interpretable pyramid network,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Single uhd image dehazing via interpretable pyramid network,

Reference 6

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Source-reported events for the cited work

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Observation cdcdfc57-d7ea-47cf-b2de-ac64772a2a77 · outbound

This paper cites A new fast and efficient dehazing and defogging algorithm for single remote sensing images,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation A new fast and efficient dehazing and defogging algorithm for single remote sensing images,

Reference 7

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Source-reported events for the cited work

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Observation 93c25158-7844-4a0f-adcf-397a80d673ae · outbound

This paper cites A new approach for training a physics-based dehazing network using synthetic images,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation A new approach for training a physics-based dehazing network using synthetic images,

Reference 8

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Source-reported events for the cited work

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Observation 378a9329-7896-471f-93bf-7369c4469bab · outbound

This paper cites Restoring vision in adverse weather conditions with patch-based denoising diffusion models,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Restoring vision in adverse weather conditions with patch-based denoising diffusion models,

Reference 9

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Source-reported events for the cited work

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Observation 1b21b3bf-d589-46f6-a833-c577993e9a44 · outbound

This paper cites Learning a sparse transformer network for effective image deraining,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Learning a sparse transformer network for effective image deraining,

Reference 10

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Source-reported events for the cited work

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Observation 6e83181e-7bc0-4e08-9136-339918a6c16a · outbound

This paper cites Ensemble single image deraining network via progressive structural boosting constraints,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Ensemble single image deraining network via progressive structural boosting constraints,

Reference 11

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Source-reported events for the cited work

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Observation 861b4792-5d01-4e5c-82df-3057eb0f6ce2 · outbound

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

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Cumulative rain density sensing network for single image derain,

Reference 12

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Source-reported events for the cited work

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

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Observation 4815544e-01d8-4b2d-84e4-42f17d2ca502 · outbound

This paper cites Self-supervised multi- scale pyramid fusion networks for realistic bokeh effect rendering,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Self-supervised multi- scale pyramid fusion networks for realistic bokeh effect rendering,

Reference 13

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Source-reported events for the cited work

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Observation a1697cc2-8d73-40e8-bdb0-683dba7321da · outbound

This paper cites Structure- preserving deraining with residue channel prior guidance,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Structure- preserving deraining with residue channel prior guidance,

Reference 14

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Source-reported events for the cited work

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

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Observation fe984031-8584-41da-916a-92bf0634003d · outbound

This paper cites Cascaded transformer u-net for image restoration,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Cascaded transformer u-net for image restoration,

Reference 15

Resolution
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Source-reported events for the cited work

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

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Observation 5fbca548-54c8-42b9-aeaf-199c12b08173 · outbound

This paper cites All-in-one image restoration for unknown corruption,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation All-in-one image restoration for unknown corruption,

Reference 16

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Source-reported events for the cited work

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Observation 35095d1b-9aca-4636-9008-6490b2df54f2 · outbound

This paper cites Ingredient-oriented multi-degradation learning for image restoration,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Ingredient-oriented multi-degradation learning for image restoration,

Reference 17

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Source-reported events for the cited work

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

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Observation 75828ef6-a1ff-4cdd-9c63-44a2bd9bb103 · outbound

This paper cites ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fa0109ec-95d2-4fa0-ac7d-0438aeee7c36 · outbound

This paper cites Promptir: Prompting for all-in-one image restoration,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Promptir: Prompting for all-in-one image restoration,

Reference 19

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Source-reported events for the cited work

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Observation 9054e8d5-2a3c-4046-b11b-a32f6b562409 · outbound

This paper cites Attention is all you need,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Attention is all you need,

Reference 20

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Observation ebdaac09-d3ba-401e-94d4-6d6d3f696e3b · outbound

This paper cites End-to-end object detection with transformers,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation End-to-end object detection with transformers,

Reference 21

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Observation 9553126e-4054-4994-81eb-27decd2ae1fe · outbound

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

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 22

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Unavailable: canonical work link unavailable.

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Observation dbf474ed-cb06-4459-b4fa-fc7661ba662c · outbound

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

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a9e7eb45-40a0-498e-b9c4-aa7f6798871b · outbound

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

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 86896b3f-d04c-47a3-b1d4-94d7247724e1 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Combining recurrent, convolutional, and continuous-time models with linear state space layers,

Reference 25

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Source-reported events for the cited work

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Observation 1756bcec-0419-4a76-b475-28336e37c876 · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Simplified State Space Layers for Sequence Modeling

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5905be50-ff40-4ed2-8a87-251e4cae7917 · outbound

This paper cites Vmamba: Visual state space model,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Vmamba: Visual state space model,

Reference 27

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Source-reported events for the cited work

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

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Observation 304185b0-0b5b-4959-9a10-21ff914c6330 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9776a3e4-00a3-4962-8f5e-040bb8fbefa8 · outbound

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

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 29

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Observation bdfdd4a5-9850-40af-8c8f-a0f6205d9fdc · outbound

This paper cites All in one bad weather removal using architectural search,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation All in one bad weather removal using architectural search,

Reference 30

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Source-reported events for the cited work

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

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Observation f0b363ef-5dd9-4771-b5be-306b33b28c26 · outbound

This paper cites Pre-trained image processing transformer,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Pre-trained image processing transformer,

Reference 31

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Source-reported events for the cited work

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

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Observation b6c31cc0-ce93-4214-9fcb-4763dc23e25b · outbound

This paper cites Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a uni- fied model,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a uni- fied model,

Reference 32

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raw_fallback, observed 2026-08-11T11:05:04.698619Z

Source-reported events for the cited work

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

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Observation a0186ffd-74fc-43e6-851f-f14b1c266d7a · outbound

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

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0f6b6628-8d58-4766-90d7-aa869112852b · outbound

This paper cites Long Range Language Modeling via Gated State Spaces.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Long Range Language Modeling via Gated State Spaces

Reference 34

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Observation f60a8f7b-001a-4638-a192-d8eec66e6857 · outbound

This paper cites Selective structured state-spaces for long-form video understanding,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Selective structured state-spaces for long-form video understanding,

Reference 35

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source=pdf_text observed=2026-08-11T11:05:03.883134Z digest=sha256:1dd337232751199cc49812be469b6a57057ffb9b36a04ebe2aa3f6229d7493ec

Observation f4918082-d5d2-4972-9d07-5557a8094b83 · outbound

This paper cites Efficient movie scene detection using state-space transformers,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Efficient movie scene detection using state-space transformers,

Reference 36

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:03.888022Z digest=sha256:ecaaeb6765d0183b2e1b8d869045f289503989bf7b037393e9e3b90a1c70f3a1

Observation 31912fcb-07d5-44b2-81d9-a6a6a8ff4b1d · outbound

This paper cites S4nd: Modeling images and videos as multidimensional signals with state spaces,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation S4nd: Modeling images and videos as multidimensional signals with state spaces,

Reference 37

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:03.892659Z digest=sha256:66f089c18c293ba4abf213f117d3ea2c82e83839f412386b83139856878202e9

Observation d7cdca80-3b59-4916-b5a8-2857161d6b29 · outbound

This paper cites Sarkar, Text analytics with Python: a practitioner’s guide to natural language processing.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Sarkar, Text analytics with Python: a practitioner’s guide to natural language processing

Reference 38

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:03.897163Z digest=sha256:a785f9e6e58d28601cbd63435b6d1657a458e8b2b75da726a8c1159fbc83b632

Observation 5627f698-0d52-42ef-a753-f05797ad3109 · outbound

This paper cites Improving natural language processing tasks with human gaze-guided neural attention,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Improving natural language processing tasks with human gaze-guided neural attention,

Reference 39

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:03.901897Z digest=sha256:d6ed89a387fdbb53dd66634932d9738a300f1b5ff91a99944a23044e02fae232

Observation 8aac477d-56b0-43e3-89b8-73f74d62f033 · outbound

This paper cites Imagen editor and editbench: Advancing and evaluating text-guided image inpainting,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Imagen editor and editbench: Advancing and evaluating text-guided image inpainting,

Reference 40

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source=pdf_text observed=2026-08-11T11:05:03.906467Z digest=sha256:9c27042c2a42f33f539ecf335f04b74d6d81cf0931cfdd7cfc33c9f23a59455e

Observation 305bcbd4-7f1b-48ae-9dca-048722dbba51 · outbound

This paper cites Smartbrush: Text and shape guided object inpainting with diffusion model,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Smartbrush: Text and shape guided object inpainting with diffusion model,

Reference 41

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source=pdf_text observed=2026-08-11T11:05:03.911067Z digest=sha256:752022314acec80229560b9f72356a226e705d941e64c22ee394ec051af9c4a7

Observation dd1dc9bf-6c50-4c07-8ac6-792e8e25951c · outbound

This paper cites Learning to prompt for vision- language models,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Learning to prompt for vision- language models,

Reference 42

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source=pdf_text observed=2026-08-11T11:05:03.915522Z digest=sha256:82346a8a7d8b373ef77a3059f50822163b91b9582de012476d8e0c3c721918ec

Observation 99641b3e-cbb8-4fce-87f9-632b100ef8a3 · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Restormer: Efficient transformer for high-resolution image restoration,

Reference 43

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source=pdf_text observed=2026-08-11T11:05:03.920216Z digest=sha256:2ea239c62dad30bb89acfba7017e9981340ecacd8e1350678245c9d4194661bc

Observation 3563b0f0-d0ca-4132-a32a-066c71afce96 · outbound

This paper cites Layer Normalization.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Layer Normalization

Reference 44

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source=pdf_text observed=2026-08-11T11:05:03.924842Z digest=sha256:a3aba41541e1f77f4aab28aa77b0bd45764e2ec28792a2358f8e0c8e49860e1b

Observation 12e8e958-0e04-4963-b668-ab2e0a4ebc8a · outbound

This paper cites GLU Variants Improve Transformer.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation GLU Variants Improve Transformer

Reference 45

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source=pdf_text observed=2026-08-11T11:05:03.929418Z digest=sha256:4adc9d85ed873ba75fe2473644c0d2d565ff0eb92dd668c12b2c1a54b2c38a73

Observation 213e86c0-ca8c-45c5-a1b1-f54311ad38ae · outbound

This paper cites Crossvit: Cross-attention multi- scale vision transformer for image classification,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Crossvit: Cross-attention multi- scale vision transformer for image classification,

Reference 46

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source=pdf_text observed=2026-08-11T11:05:03.934498Z digest=sha256:0d65b3400c81758924e6fd3c305adad21b8aed0242b4ff2ef065de7f095b455e

Observation 74489262-7f8b-4f04-bbbd-ef4fe4825748 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 47

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source=pdf_text observed=2026-08-11T11:05:03.939435Z digest=sha256:27d170fc96917d3ac459d8597180d5351aee2ca5a7ee5eb3e3eb41888332aab9

Observation e191ae0e-7102-499e-984a-468609e548c9 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation High- resolution image synthesis with latent diffusion models,

Reference 48

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source=pdf_text observed=2026-08-11T11:05:03.944595Z digest=sha256:b52ceef3e023b0ebd0013b8f31fc00e85ab19d0bfcbe83a669f323f2e54ad90a

Observation bb2f0084-984f-4cce-9966-ea0322b691d0 · outbound

This paper cites Image denoising using deep cnn with batch renormalization,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Image denoising using deep cnn with batch renormalization,

Reference 49

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raw_fallback, observed 2026-08-11T11:05:04.552444Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:03.949271Z digest=sha256:e155b01ef355c0a7fefb2678e76a41ef6cb5007b4ac09ca7d38ffd42fe152aa0

Observation b0a54289-45a1-4891-b40c-4413dcaa1986 · outbound

This paper cites Lightweight pyramid networks for image deraining,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Lightweight pyramid networks for image deraining,

Reference 50

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

source=pdf_text observed=2026-08-11T11:05:03.954528Z digest=sha256:d107d49c73747067c53a43e3d7763cf7467f4fd023282669288bfbcff3db0aa6

Observation 605c2e37-634c-489d-8949-64f3a1528a28 · outbound

This paper cites Fd-gan: Generative adversarial networks with fusion-discriminator for single image dehaz- ing,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Fd-gan: Generative adversarial networks with fusion-discriminator for single image dehaz- ing,

Reference 51

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:03.960352Z digest=sha256:7b7597f912893aae51ceb34dfaafcde89bfd3d9b2b7928f94b8a780aa3527b4a

Observation daad9a27-cc2a-4d3a-9ffc-ce9d726b4192 · outbound

This paper cites Multi-stage progressive image restoration,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Multi-stage progressive image restoration,

Reference 52

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source=pdf_text observed=2026-08-11T11:05:03.964923Z digest=sha256:5976137dcca9f1092fd27180aee16eab16cc13e0c6838102fd0cdaed9725b865

Observation 061a92c3-2914-4e83-b2ee-a4ec08db04f5 · outbound

This paper cites A general decoupled learning framework for parameterized image operators,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation A general decoupled learning framework for parameterized image operators,

Reference 53

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:03.969386Z digest=sha256:bd1723ebe73882a787c1c3203fd959a3b9cf5e60364e6e969c433c03b9b52990

Observation 0468ada2-f205-4708-bc3d-b4a83cc3fd35 · outbound

This paper cites LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Reference 54

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source=pdf_text observed=2026-08-11T11:05:03.974548Z digest=sha256:e3afdbe7255132da3fa59fa0d949a8d499149a3274de3b60f22b21577a04de8c

Observation cc62c44d-8683-4715-a160-2765cd72bf27 · outbound

This paper cites Controlling vision-language models for multi-task image restoration,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Controlling vision-language models for multi-task image restoration,

Reference 55

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:03.979449Z digest=sha256:d8488e19a6adea4afbf30efd9fdc4ad2623727d23e7134a45ecd8368b25a3738

Observation d2128ea1-944a-4fd7-b300-69bfe9d601eb · outbound

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

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Deep joint rain detection and removal from a single image,

Reference 56

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raw_fallback, observed 2026-08-11T11:05:04.463919Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:03.984018Z digest=sha256:107eccb44ec9603162219ea90d0524e000f620170e6bf04e5c1f90bd9052a6b7

Observation b7fa6ea3-a0db-4078-a18d-1ac9c95f5296 · outbound

This paper cites Benchmarking single-image dehazing and beyond,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Benchmarking single-image dehazing and beyond,

Reference 57

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source=pdf_text observed=2026-08-11T11:05:03.988737Z digest=sha256:82604ece35b46425e7192d7a7c1bcf82c76b9741410be0c3add8e3cdc4cc75d7

Observation 7f9109a7-7b11-486d-a87c-1f3abcd9e91a · outbound

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

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,

Reference 58

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raw_fallback, observed 2026-08-11T11:05:04.437955Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:03.993294Z digest=sha256:0d935bda053791b66a19df2915c041a7b9e6724085a2d6f243d40e2ef6a5466b

Observation 676362be-e165-4d73-b199-cc0d309022f6 · outbound

This paper cites Color image denoising via sparse 3d collaborative filtering with grouping constraint in luminance-chrominance space,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Color image denoising via sparse 3d collaborative filtering with grouping constraint in luminance-chrominance space,

Reference 59

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:03.998935Z digest=sha256:e7360b4b87ffd01f271ccbe1280d1feb0bd7717963c0d4a8c1c75418e64f94fe

Observation bd3946fa-4b15-4b34-91e4-70aa3c92afc3 · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,

Reference 60

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source=pdf_text observed=2026-08-11T11:05:04.003483Z digest=sha256:b48735cbaa39082c8e3fba26ee7bb25fa66ce198d6c7cc9b97e2016d32ec2968

Observation d19b93f7-7ac6-4832-816c-496d3a254627 · outbound

This paper cites Learning deep cnn denoiser prior for image restoration,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Learning deep cnn denoiser prior for image restoration,

Reference 61

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source=pdf_text observed=2026-08-11T11:05:04.008100Z digest=sha256:6877a2a257ed33289b966f4842d03f2af27a44caef7950d5e95261728a475657

Observation ae67c758-4a9d-4b18-9fae-eed91d802d7a · outbound

This paper cites Ffdnet: Toward a fast and flexible solution for cnn-based image denoising,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Ffdnet: Toward a fast and flexible solution for cnn-based image denoising,

Reference 62

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source=pdf_text observed=2026-08-11T11:05:04.012556Z digest=sha256:76ed374638a76e90b18e6be64fe678ec9155490ada026452da281ba5e708698d

Observation 50ada98d-2e3b-46bc-9e8f-ae2b0d5405db · outbound

This paper cites Multi-scale progressive fusion network for single image deraining,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Multi-scale progressive fusion network for single image deraining,

Reference 63

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source=pdf_text observed=2026-08-11T11:05:04.018009Z digest=sha256:08c6ade3414685bb359a3b82286f383968d4dc393bbad4021d10f0972b957954

Observation b6d7ab26-9c67-4b0d-9db8-e2d4e674603e · outbound

This paper cites Dynamic scene deblurring with parameter selective sharing and nested skip connections,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Dynamic scene deblurring with parameter selective sharing and nested skip connections,

Reference 64

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raw_fallback, observed 2026-08-11T11:05:04.367804Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:04.022693Z digest=sha256:fd2800121b86bac3f204762cd33059f8ad6a29129141bc23cc126690eb438fbb

Observation f54fc40d-607b-4a3d-be86-fff34a83f310 · outbound

This paper cites Dehazenet: An end-to-end system for single image haze removal,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Dehazenet: An end-to-end system for single image haze removal,

Reference 65

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:04.027404Z digest=sha256:c5a7abf089c43fb50b5be4f448367cef8e8a438e733f5315e8e26cc712ad7aec

Observation dde00a3c-8c35-4692-8423-09f0f528b383 · outbound

This paper cites Enhanced pix2pix dehazing network,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Enhanced pix2pix dehazing network,

Reference 66

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:04.032037Z digest=sha256:68f7d12cb25d5102f2c49b75eff7559d3ffa30683e86952d9a8e76f9e2f8fbdc

Observation 5e662a92-8562-40cb-afb5-ebe74f956cab · outbound

This paper cites Waterloo exploration database: New challenges for image quality assessment models,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Waterloo exploration database: New challenges for image quality assessment models,

Reference 67

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source=pdf_text observed=2026-08-11T11:05:04.036779Z digest=sha256:ee172f7f72d5b7d6d710abf1bcc19974cc2d85c6d55863c85d843db89a33d87c

Observation cf36b891-5881-4fc4-8122-b81f61922994 · outbound

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

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Single image super-resolution from transformed self-exemplars,

Reference 68

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raw_fallback, observed 2026-08-11T11:05:04.309693Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:05:04.041238Z digest=sha256:8cdbc5a31fa814e3d85e42fe9d55c057c18751d800b9a945a2cbe34457603a81

Observation bc36edd9-d6b0-487c-b331-c3bc4f7aacb5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Adam: A Method for Stochastic Optimization

Reference 69

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source=pdf_text observed=2026-08-11T11:05:04.046116Z digest=sha256:6a011f45d907cf0ad2ee77fd74cb61cdd7683abf10ea0f5b0abcedd237d314a4

Observation eed15c3a-d586-4503-a47b-60481d040cc7 · outbound

This paper cites Scope of validity of psnr in im- age/video quality assessment,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Scope of validity of psnr in im- age/video quality assessment,

Reference 70

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source=pdf_text observed=2026-08-11T11:05:04.050907Z digest=sha256:bad4e8ec853a9d27001c044ed282ac1fd28feaa063f6233333efe957d82a9427

Observation 0b27e303-5c68-43b5-852a-2f89425ba4c9 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation Image quality assessment: from error visibility to structural similarity,

Reference 71

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unresolved
no resolver link, observed 2026-08-11T11:05:04.055570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:05:04.055570Z digest=sha256:e9dbda2eba07915f8de7aea5a1b38a458e8fbc1b752fce24cf386299b3a3480f

Pith citing papers

Observation 206ef9df-32c6-4f66-bc6d-096ddf8d0c90 · inbound

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration cites this paper.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:56.795087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:56.795087Z digest=sha256:87f2d613089e18ced98d87b18c4d2d6f99ba1a0921012f9d206d839dba36c39d

Observation daaaaca0-bec9-45dc-8b72-9e46f81020a1 · inbound

Frequency-Domain Fusion Transformer for Image Inpainting cites this paper.

Frequency-Domain Fusion Transformer for Image Inpainting Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:20:13.409045Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:20:10.817608Z digest=sha256:c089577458cd3e8d88a74a3724dc4a749d6455c373b6ab2500cea78731b07f1b