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Paper Citation Record · LEDGER

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior

As of 15 August 2026, this Paper Citation Record lists 100 of 119 outbound references and 0 inbound Pith citation observations for arXiv:2506.15929.

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

pith.paper-citation-record.v1
2506.15929 v1

Coverage vector

measured 100 of 119 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:51:52.016182Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 119 outbound references displayed

  • verified exact2
  • verified fuzzy35
  • unresolved63
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f0e0c15-9509-44f2-a2fd-3bc1d39a9f8c · outbound

This paper cites Coarse- to-fine disentangling demoir ´eing framework for recaptured screen images,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Coarse- to-fine disentangling demoir ´eing framework for recaptured screen images,

Reference 1

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Observation c0f6d929-bcc6-4323-be8e-04e06dc73fe1 · outbound

This paper cites Moir´e photo restoration using multires- olution convolutional neural networks,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Moir´e photo restoration using multires- olution convolutional neural networks,

Reference 2

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source=pdf_text observed=2026-08-06T23:51:43.724900Z digest=sha256:8957ef334f6252994fe9bcded799e39941811608b59ad9af11ed3ff4e3c2e99f

Observation e664471c-7f99-4522-b202-cd20679d4af8 · outbound

This paper cites Learning frequency domain priors for image demoireing,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Learning frequency domain priors for image demoireing,

Reference 3

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Observation 5577114a-edd4-4608-b468-e658220024ec · outbound

This paper cites Hardware-friendly de- screening,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Hardware-friendly de- screening,

Reference 4

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source=pdf_text observed=2026-08-06T23:51:43.914126Z digest=sha256:eb174150657610f330e3755e47f1d5b459e2bfbb4b7cf4226bbef0ca978d229f

Observation 65fa2774-16eb-477e-854f-32d989ee3a54 · outbound

This paper cites Scanned image descreening with image redundancy and adaptive filtering,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Scanned image descreening with image redundancy and adaptive filtering,

Reference 5

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source=pdf_text observed=2026-08-06T23:51:44.031006Z digest=sha256:44e91d9c4ad91e98fca8a3189c0fa06caaf6fb83cc76a759e6d35d20f10780b2

Observation 91492377-12bf-4204-abb4-789265191477 · outbound

This paper cites Textured image demoir´eing via signal decomposition and guided filtering,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Textured image demoir´eing via signal decomposition and guided filtering,

Reference 6

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source=pdf_text observed=2026-08-06T23:51:44.150622Z digest=sha256:1835fdb3bf3e548a49986d4a0ee4e847fc82ab45b033217734271ecb6cc422d8

Observation d082dd84-a909-4c11-9038-d9515f2cc82b · outbound

This paper cites Integral imaging with reduced color moir ´e pattern by using a slanted lens array,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Integral imaging with reduced color moir ´e pattern by using a slanted lens array,

Reference 7

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source=pdf_text observed=2026-08-06T23:51:44.285797Z digest=sha256:ecab874f82383f9bdba6617b78e547d7b7469b508afce1674ac276f168c6a64e

Observation ac0216d6-e9b8-4206-9c01-7e1dc4309788 · outbound

This paper cites A median- gaussian filtering framework for moir´e pattern noise removal from x-ray microscopy image,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior A median- gaussian filtering framework for moir´e pattern noise removal from x-ray microscopy image,

Reference 8

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source=pdf_text observed=2026-08-06T23:51:44.404368Z digest=sha256:3e7ac0e02e0cbb20380a27d0a6c8248b0fd4f42639348007f620317f2483915e

Observation 310c8883-12ee-4017-afd2-8829010e8944 · outbound

This paper cites Recaptured screen image demoir ´eing in raw domain,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Recaptured screen image demoir ´eing in raw domain,

Reference 10

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source=pdf_text observed=2026-08-06T23:51:44.568204Z digest=sha256:8398ca9ad00d262c2e729819f4eb6840d25f5066a7a29bb8c4fbe0671da4fd0a

Observation 35a081c9-8696-412a-a59d-f859ca2c9ed5 · outbound

This paper cites Towards efficient and scale-robust ultra-high-definition image demoir ´eing,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Towards efficient and scale-robust ultra-high-definition image demoir ´eing,

Reference 11

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Observation c0561610-b62b-4120-a45b-7f2806ba6e56 · outbound

This paper cites Image demoireing with learnable bandpass filters,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Image demoireing with learnable bandpass filters,

Reference 12

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source=pdf_text observed=2026-08-06T23:51:44.711711Z digest=sha256:e8877787e1f59ccd2e44a823beedad0c3e34d573309c3c6d61187155ca5f8be8

Observation a7499f4d-f955-4f04-93a6-4b3648619c12 · outbound

This paper cites Image demoir ´eing via multi-scale fusion networks with moir´e data augmentation,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Image demoir ´eing via multi-scale fusion networks with moir´e data augmentation,

Reference 13

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source=pdf_text observed=2026-08-06T23:51:44.767630Z digest=sha256:1626ea58e894d4092a8ed97daac7fbaa860d212c7b9f1be0f7aef858f5deaa53

Observation 54989950-b236-41f0-abd6-90aa738848b8 · outbound

This paper cites Video demoireing with relation-based temporal consistency,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Video demoireing with relation-based temporal consistency,

Reference 14

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Observation 7478cf94-78bf-4b29-89f5-57a18f111e65 · outbound

This paper cites Recaptured Raw Screen Image and Video Demoir\'eing via Channel and Spatial Modulations.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Recaptured Raw Screen Image and Video Demoir\'eing via Channel and Spatial Modulations

Reference 15

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source=pdf_text observed=2026-08-06T23:51:44.909370Z digest=sha256:7c12de812d854e80bb31643cfbe8515a3819d0a1bcea35e1a6383a36a8e9141e

Observation c6577265-9eda-4d9f-9c10-ea1bec9c9ffc · outbound

This paper cites Learning image demoir´eing from unpaired real data,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Learning image demoir´eing from unpaired real data,

Reference 16

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Observation 0146c49b-b8ba-4712-854c-27a77f137d25 · outbound

This paper cites Demoir\'eing of Camera-Captured Screen Images Using Deep Convolutional Neural Network.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Demoir\'eing of Camera-Captured Screen Images Using Deep Convolutional Neural Network

Reference 17

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Observation 86ca6311-2d4a-4c8b-a5a7-411d9029f26a · outbound

This paper cites AIM 2019 Challenge on Image Demoireing: Dataset and Study.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior AIM 2019 Challenge on Image Demoireing: Dataset and Study

Reference 18

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

source=pdf_text observed=2026-08-06T23:51:45.116411Z digest=sha256:a1cacbbd2a849cae341bbd13e6e66a584e47fc6c75978c61cc2e0587d2e7b537

Observation 5c26a354-9ddc-47ac-945f-2ce1597d04d3 · outbound

This paper cites Multi-scale dynamic feature encoding network for image demoir ´eing,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Multi-scale dynamic feature encoding network for image demoir ´eing,

Reference 19

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Observation 60d58475-1e9f-40b3-9ecc-c1d23013c8f4 · outbound

This paper cites Mop moire patterns using mopnet,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Mop moire patterns using mopnet,

Reference 20

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Observation b3a6bfef-23c2-483f-b0ce-24b4c1d9863d · outbound

This paper cites Moir ´e pattern removal with multi-scale feature enhancing network,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Moir ´e pattern removal with multi-scale feature enhancing network,

Reference 21

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Observation ab74957b-445d-4189-873f-51031fe2054a · outbound

This paper cites Wavelet-based dual-branch network for image demoir ´eing,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Wavelet-based dual-branch network for image demoir ´eing,

Reference 22

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source=pdf_text observed=2026-08-06T23:51:45.419728Z digest=sha256:7760b3f731237d1ae21e382ff7a70259d636c372c7809276aecf42d91d670dcc

Observation bf678887-6a94-42ca-8d70-9d4ebc2862b9 · outbound

This paper cites Mmdm: Multi- frame and multi-scale for image demoireing,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Mmdm: Multi- frame and multi-scale for image demoireing,

Reference 23

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Observation 9875a48f-9f21-46c1-81fd-fa485251ecd0 · outbound

This paper cites Image demoir ´eing with a dual- domain distilling network,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Image demoir ´eing with a dual- domain distilling network,

Reference 24

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Observation 8dcda4b8-5183-42bd-a8f4-25325e1c3e0d · outbound

This paper cites Progressive moire removal and texture complementation for image demoireing,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Progressive moire removal and texture complementation for image demoireing,

Reference 25

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source=pdf_text observed=2026-08-06T23:51:45.661564Z digest=sha256:155632260e9e8de706b37bed5df4638e23fd4fc59c275703234a25b19b4c7f90

Observation 2535fa54-6258-4305-b6cf-d7d3ea068571 · outbound

This paper cites Freqformer: Frequency-aware transformer for lightweight image super-resolution,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Freqformer: Frequency-aware transformer for lightweight image super-resolution,

Reference 26

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source=pdf_text observed=2026-08-06T23:51:45.737017Z digest=sha256:0d83e3157d492936345713db9cda311064453abdbdf810506d20e1ec8898f57b

Observation 15a69c43-1d33-4557-a659-1d522f9a6b31 · outbound

This paper cites Image demoireing in raw and srgb domains,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Image demoireing in raw and srgb domains,

Reference 27

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Observation 683dc7ad-2bbe-49dd-a898-71149251588d · outbound

This paper cites Generative Adversarial Networks.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Generative Adversarial Networks

Reference 28

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Observation 08fdb984-12de-4794-91da-46b70b7316c5 · outbound

This paper cites Auto-encoding variational bayes,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Auto-encoding variational bayes,

Reference 29

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Observation 27dbb921-6258-4526-95dc-27265875786a · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Denoising Diffusion Probabilistic Models

Reference 30

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source=pdf_text observed=2026-08-06T23:51:46.110444Z digest=sha256:2a51b07cbfbd8fadde8112c9f419cca2cc683df9820c95450fc130ebf6f24a32

Observation 8e647782-b310-482b-a57c-fa17a1415af1 · outbound

This paper cites Bayesian Image Reconstruction using Deep Generative Models.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Bayesian Image Reconstruction using Deep Generative Models

Reference 31

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Observation 5ce88aa5-f91a-4f3d-a8f2-3bb596e2e0e7 · outbound

This paper cites Compressed sensing using generative models,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Compressed sensing using generative models,

Reference 32

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Observation 429352a3-6b04-4f46-8955-b945d326414d · outbound

This paper cites Invertible generative models for inverse problems: mitigating representation error and dataset bias,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Invertible generative models for inverse problems: mitigating representation error and dataset bias,

Reference 33

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Observation e897b765-605a-417d-82f5-f48f80cf1ada · outbound

This paper cites Deep unfolding with normalizing flow priors for inverse problems,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Deep unfolding with normalizing flow priors for inverse problems,

Reference 34

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source=pdf_text observed=2026-08-06T23:51:46.420935Z digest=sha256:17a15591f7319643c20ac5ebc8de71f2a424cfacf444be5ed42503ddd5f58708

Observation e6ad949c-a13b-4374-b060-dfe354420c13 · outbound

This paper cites Patchnr: learning from very few images by patch normal- izing flow regularization,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Patchnr: learning from very few images by patch normal- izing flow regularization,

Reference 35

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Observation c73df71e-bdaf-4335-8ea0-7237c07d1a0e · outbound

This paper cites D-Flow: Differentiating through Flows for Controlled Generation.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior D-Flow: Differentiating through Flows for Controlled Generation

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:46.543569Z digest=sha256:7cd0f49b9079dab60ff99fef0804762a67ee0afb0286127e1d6d50e2d1b65cf6

Observation 9df993ed-d797-42b0-9671-95128ff7188b · outbound

This paper cites Flow priors for linear inverse problems via iterative corrupted trajec- tory matching,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Flow priors for linear inverse problems via iterative corrupted trajec- tory matching,

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:46.641897Z digest=sha256:e555b398cd4f808ed4d64ace702984f49a8e6aaf8ef9de88c7221089d82f07f2

Observation 0ce89b21-af2d-43ba-8ce9-e52127f2766e · outbound

This paper cites Training-free Linear Image Inverses via Flows.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Training-free Linear Image Inverses via Flows

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:46.719131Z digest=sha256:7dfc8d095ce688c32cc89cde19413c132a35c692a9453685749b97047e0cf21a

Observation e45f214f-e7b5-43b8-ae26-2c354d8fcce9 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 39

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no resolver link, observed 2026-08-06T23:51:46.780614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:46.780614Z digest=sha256:3ecf4af5a9521b7371fc78c297746ceff53615e46e486c34cfccb51d4f137492

Observation 5b6a56a2-356e-4e42-9988-3cee76a485cf · outbound

This paper cites Pseudoinverse-guided diffusion models for inverse problems,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Pseudoinverse-guided diffusion models for inverse problems,

Reference 40

Resolution
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no resolver link, observed 2026-08-06T23:51:46.869172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:46.869172Z digest=sha256:47be8b770c09eefaba7b6289b25b978414d770be4f9ae837885351a98482f70b

Observation 18154ee1-44b0-4ac0-b77b-73dde1955fc6 · outbound

This paper cites Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization,

Reference 41

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no resolver link, observed 2026-08-06T23:51:46.954570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:46.954570Z digest=sha256:9f16b66cc2559d38316083d91b15f65b85aed3cd52f82ba495696631317a47a3

Observation 65eefed9-277b-4850-833a-e1fd0b46e5f8 · outbound

This paper cites Recovery analysis for plug-and-play priors using the restricted eigenvalue condition,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Recovery analysis for plug-and-play priors using the restricted eigenvalue condition,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:47.030044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:47.030044Z digest=sha256:0e58f1667e25b8ff2da7708f8087f7962b6ab4f467d53daf87ae15da9702b0aa

Observation 19fb16c6-9c44-4c31-9369-92be6c8131e0 · outbound

This paper cites PnP-Flow: Plug-and-Play Image Restoration with Flow Matching.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior PnP-Flow: Plug-and-Play Image Restoration with Flow Matching

Reference 43

Resolution
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no resolver link, observed 2026-08-06T23:51:47.165300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:47.165300Z digest=sha256:05e0376c8267b2227920e5e7afb5ed5c8f395b7dcde43839ce58eec2f36b6b2a

Observation 46e098bd-addb-4d45-9319-2c91771b25f4 · outbound

This paper cites Unsupervised moir ´e pattern removal for recaptured screen images,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Unsupervised moir ´e pattern removal for recaptured screen images,

Reference 44

Resolution
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no resolver link, observed 2026-08-06T23:51:47.224263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:47.224263Z digest=sha256:d693444ad0dfb90c455f8b0f86282c3d633eeda5ee1e56480ca081c9a2e5e39c

Observation cbb2e498-0564-403c-a224-ce661698dca7 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 45

Resolution
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no resolver link, observed 2026-08-06T23:51:47.309489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:47.309489Z digest=sha256:4533ec0e2fe7406725789ae5ab5e8e5d7e5fcb73250c84929834cd2a8e14ef87

Observation 8fc94dfd-8163-4cb1-b21a-9076415ab56f · outbound

This paper cites Stationary grid pattern removal using 2d technique for moire-free radiographic image display,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Stationary grid pattern removal using 2d technique for moire-free radiographic image display,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:47.429217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:47.429217Z digest=sha256:cc193060ffb35f17d219a9eba113cb69d1244c19099e367214c30a3f4c3943d6

Observation 4d7d8cd6-716a-4b5e-8b6a-705152fd2ced · outbound

This paper cites Fhde 2 net: Full high definition demoireing network,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Fhde 2 net: Full high definition demoireing network,

Reference 47

Resolution
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no resolver link, observed 2026-08-06T23:51:47.520752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:47.520752Z digest=sha256:831e4c969827d3a0776286bf855a0476b2c0b09a8acb77ef09698ef50117ce12

Observation 68505923-0e6f-4df7-b548-837f91e2dbf2 · outbound

This paper cites Deep residual learning for image recognition,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Deep residual learning for image recognition,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:47.612183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:47.612183Z digest=sha256:df77fbc7c845d459af49ecefddd214aaa4cc1a29e6aa3657ee0f2220cb7e65ae

Observation 3a82c3f3-74cc-4606-9617-54ecc2965d14 · outbound

This paper cites Attention is all you need,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Attention is all you need,

Reference 49

Resolution
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no resolver link, observed 2026-08-06T23:51:47.679251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:47.679251Z digest=sha256:388846395c9556c1c1a90e2da15dff6d1c0315a8c64f685f8149235982c64485

Observation bc3fe162-9e21-4e98-b6ad-6e063ca1a08e · outbound

This paper cites Vmamba: Visual state space model,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Vmamba: Visual state space model,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:47.743654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:47.743654Z digest=sha256:f0f20bb9e34a3d1d475371d0d5be0272f272323381fcfcfb3deafd32f7567b4e

Observation 136786f6-c076-4312-aea5-fb58a1aa8741 · outbound

This paper cites Learning to (Learn at Test Time): RNNs with Expressive Hidden States.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:47.832509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:47.832509Z digest=sha256:0c3d8c9ca68f9d22e54f7b097d0dd040718959fbd1f8ad5e8be3d21e72a14ee1

Observation b580d9df-29f0-4745-a087-253395921f42 · outbound

This paper cites Multi-scale dynamic feature encoding network for image demoir ´eing,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Multi-scale dynamic feature encoding network for image demoir ´eing,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:58.103762Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:47.929978Z digest=sha256:045aff7f7e289853d24dd41d0a79fecd59075be724c1d882504a003cf71b83d5

Observation a357a0c5-c0c0-4882-9c8a-7ccd398c5d0f · outbound

This paper cites Mmdm: Multi-frame and multi-scale for image demoir ´eing,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Mmdm: Multi-frame and multi-scale for image demoir ´eing,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:58.087113Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:48.022220Z digest=sha256:7c89f88e62d6006f9725241614c66dc711a4ca77529a8366199d310164bc0fdc

Observation 89394851-0252-4c60-a8b2-dc5193a7bc02 · outbound

This paper cites Dual-domain deep convolutional neu- ral networks for image demoireing,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Dual-domain deep convolutional neu- ral networks for image demoireing,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:58.070200Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:48.098301Z digest=sha256:7a0daf010fe7158c1a0d1329faf33abe38fe242afdedf1fda9d166fa067c63cb

Observation b5632371-50b3-45b9-830b-3a25404ce9c5 · outbound

This paper cites C3net: Demoir ´eing network attentive in channel, color and concatenation,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior C3net: Demoir ´eing network attentive in channel, color and concatenation,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:58.052928Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:48.190520Z digest=sha256:4f2b47f3aeb46e8b52e39aae39b9cc5dc0aae2a11f48575fd85f3e1f51ffc338

Observation 1f687ce9-6df7-43bc-ac85-f800a0719815 · outbound

This paper cites Moir ´e pattern removal via attentive fractal network,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Moir ´e pattern removal via attentive fractal network,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:58.036353Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:48.265256Z digest=sha256:17ff53c2b3c001ae5fcda1143c88b1a19800b08a124804a33a9115d09e063883

Observation a4bb31d2-eb05-4893-922c-2602090c7b2f · outbound

This paper cites Deep wavelet network with domain adaptation for single image demoireing,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Deep wavelet network with domain adaptation for single image demoireing,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:58.019417Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:48.328725Z digest=sha256:e7df0c74dbc2a57a26e620a5bbca86a70624ba1220fd9aef7aa624f0893b53d7

Observation 35266995-65e5-4225-a97b-6155c9dbd348 · outbound

This paper cites Real-Time Image Demoireing on Mobile Devices.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Real-Time Image Demoireing on Mobile Devices

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:51:53.744519Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:48.430385Z digest=sha256:d2e7b848cca4d93317187fc78d5b6c71a2af3a6a683bfd01cc4ae565936ad07e

Observation 13813dec-ceed-46be-97d0-0e34a4f72847 · outbound

This paper cites Image demoireing in raw and srgb domains,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Image demoireing in raw and srgb domains,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:58.003973Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:48.521568Z digest=sha256:ca03a7af3bb81de7b8adb57183ac2b190408f38422cc86726824117b454daa44

Observation 3629a908-f5bf-429c-a899-a8e3938be144 · outbound

This paper cites Direction-aware video demoireing with temporal-guided bilateral learning,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Direction-aware video demoireing with temporal-guided bilateral learning,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.987955Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:48.595329Z digest=sha256:b60839197177cecfd9ce8adbd5cf488f71cab3e9011065e57822a114c743fd6f

Observation e57722e1-67d7-4ade-9463-f30340341a96 · outbound

This paper cites Std-net: Spatio-temporal decompo- sition network for video demoir ´eing with sparse transformers,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Std-net: Spatio-temporal decompo- sition network for video demoir ´eing with sparse transformers,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.971692Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:48.667646Z digest=sha256:0581cef666f4aec4e521c6fbeff4b34f553941d62b68c330e8073992d710b122

Observation d9f2e85f-891f-487b-959e-317d4ac5fdf0 · outbound

This paper cites Video demoir ´eing with deep temporal color embedding and video- image invertible consistency,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Video demoir ´eing with deep temporal color embedding and video- image invertible consistency,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.954734Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:48.763403Z digest=sha256:2564f6d9d5817bd7c1de3779a1b22ecd3461b77eb2c772fd6083297b6f9bf7d2

Observation b43c8674-d05e-4394-b022-60965344d521 · outbound

This paper cites Recaptured raw screen image and video demoireing via channel and spatial modulations,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Recaptured raw screen image and video demoireing via channel and spatial modulations,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.938955Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:48.845842Z digest=sha256:bb4c55421d852793db36d3f94f6468d533271f0f435e875c8d05feb576a276f8

Observation 964e0af6-d2cb-4ded-b49b-b5b915c3d7b6 · outbound

This paper cites Deep video demoir ´eing via compact invertible dyadic decomposition,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Deep video demoir ´eing via compact invertible dyadic decomposition,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.923036Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:48.964095Z digest=sha256:9d00a7d191027dc05aa4a3019506ae009b6db03704482123fc9a7676a2999e64

Observation 3c0ea3e5-725f-4bcc-ba8b-ce6e5b01d810 · outbound

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

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:49.038678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:49.038678Z digest=sha256:0cd083c26f655dbc02ed88d0506256d7054409fbaffaa82f03306406f3c5cd10

Observation 02c359eb-15d2-430f-915a-c1f79b9294d3 · outbound

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

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:49.103642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:49.103642Z digest=sha256:fd8db72a1e1d746f20f47c500125956ed4eb0163a4dfa8eecf0370a221bc38a5

Observation bad4cf1a-7f60-443b-92de-7d195111f059 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Deep Residual Learning for Image Recognition

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:49.175885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:49.175885Z digest=sha256:dd646e6548e811a1acf406cad2d0df025bfb1c4b3c5c329fad42f8a260b456b1

Observation 8b879b53-3ca9-46de-95e5-119513edbe63 · outbound

This paper cites Transfer reinforcement learning: Feature trans- ferability in ship collision avoidance,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Transfer reinforcement learning: Feature trans- ferability in ship collision avoidance,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.908502Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:49.264323Z digest=sha256:ea6464622dc9065fe91af82fa825ca4c3d475e6a674a901993d547bfcbcdb281

Observation d5052c0f-f3f6-4c9d-a4fd-db2f612d79c5 · outbound

This paper cites A multimodal transformer: Fusing clinical notes with structured ehr data for interpretable in-hospital mortality prediction,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior A multimodal transformer: Fusing clinical notes with structured ehr data for interpretable in-hospital mortality prediction,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.891598Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:49.365575Z digest=sha256:d1e6809dea708009a04405fe9035a6b99d2134678bbb17253ebcc528def8a4b8

Observation 195fd5c4-0572-4fc8-9e1f-73d61d11bd0a · outbound

This paper cites Backdooring Vision-Language Models with Out-Of-Distribution Data.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Backdooring Vision-Language Models with Out-Of-Distribution Data

Reference 70

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:49.435576Z digest=sha256:6e3e16848e66ccb5bb7e80e9f12fc84fcbe4c86f50af6db594ee2b98e585487a

Observation 2baea1d5-9f23-43f9-8e71-cba8c94e36e9 · outbound

This paper cites Swinfsr: Stereo image super-resolution using swinir and frequency domain knowledge,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Swinfsr: Stereo image super-resolution using swinir and frequency domain knowledge,

Reference 71

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raw_fallback, observed 2026-08-06T23:51:57.875014Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:49.526727Z digest=sha256:083cca3554b873f097aa96468188889925eb13264120a9279fa8d755a77184a1

Observation dc8e7adf-5192-4f43-a05f-887f9641da8a · outbound

This paper cites Pscc-net: Progressive spatio- channel correlation network for image manipulation detection and localization,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Pscc-net: Progressive spatio- channel correlation network for image manipulation detection and localization,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.857737Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:49.618853Z digest=sha256:52cb408e447e7bd62f21be54ffc05fa26cee77c5fe34506640971f3dd21c4f5d

Observation bf758262-ac0b-4cb2-bc7c-4b518772db02 · outbound

This paper cites Griddehazenet: Attention- based multi-scale network for image dehazing,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Griddehazenet: Attention- based multi-scale network for image dehazing,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.841571Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:49.717358Z digest=sha256:708f87b2551b98665c401305a4a14e1fb6c0e438e0e2e8d8d7b342e046d74675

Observation b881253d-10fb-4077-8f04-d7b7c88c1429 · outbound

This paper cites Attention- enhancing backdoor attacks against bert-based models,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Attention- enhancing backdoor attacks against bert-based models,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.823859Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:49.809799Z digest=sha256:25be08d320284da9766784d00ad0a08ad156737ef4bfbe7431ad3041345aee06

Observation b28cca76-8c66-4236-98fd-4fe5a83755d5 · outbound

This paper cites A data-centric solution to nonhomogeneous dehazing via vision transformer,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior A data-centric solution to nonhomogeneous dehazing via vision transformer,

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.803083Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:49.872987Z digest=sha256:55e0ed5ad549f2ccf3c9975442dcf12fd9e66ff76677f67ee835b47e7adc53f2

Observation 852db237-5486-4f3c-8d55-5c2cad4dfd58 · outbound

This paper cites Work process transfer reinforcement learning: Feature extraction and finetuning in ship collision avoidance,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Work process transfer reinforcement learning: Feature extraction and finetuning in ship collision avoidance,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.786240Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:49.948001Z digest=sha256:7f542e393825b8b6f6e773f0b90b3900c4dcaa5f38e021f3847e8c73d4699f78

Observation bd1ea6b8-5e9f-4267-aee6-ed495608fe39 · outbound

This paper cites Exploring causalworld: Enhancing robotic manipulation via knowledge transfer and curriculum learning,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Exploring causalworld: Enhancing robotic manipulation via knowledge transfer and curriculum learning,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.766581Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:50.003691Z digest=sha256:9a9e1f313498270aaa1fd8dfbc280fe7f0a29723305ce8e095b686beb0a6dc91

Observation d40989fb-27a5-4593-9750-8d04a0e4ad7a · outbound

This paper cites Alignment-free Raw Video Demoireing.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Alignment-free Raw Video Demoireing

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:50.119653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:50.119653Z digest=sha256:f1c03497b466ec17ed66ef72bf6511a6207d60895b33690652b53740e739cc04

Observation 06f74786-4f89-4cb3-974f-887fed239028 · outbound

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

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:50.199179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:50.199179Z digest=sha256:9f1e9d0a6fe05f0e1fd70a76e3337e81352c972311b7e73f3594b145918783d6

Observation 1c3c53ce-01e0-44b1-bd9b-3d9e982e8fa0 · outbound

This paper cites Cddfuse: Correlation-driven dual-branch feature decomposition for multi-modality image fusion,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Cddfuse: Correlation-driven dual-branch feature decomposition for multi-modality image fusion,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.747162Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:50.279781Z digest=sha256:4c4eff9dada90c8b96d962aa22346c8301a2999075863f36219a9b0e32707abb

Observation 6e3193f0-de1a-47f5-bb8f-dc10a9088c73 · outbound

This paper cites Learning spatial-frequency transformer for visual object tracking,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Learning spatial-frequency transformer for visual object tracking,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.729462Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:50.376282Z digest=sha256:659d4f9add618b9a9f4b07faf963eaa9f11d4652e23e784d24c71fa83f65cf83

Observation fb1ff33e-06d3-4693-9459-583eb9a06409 · outbound

This paper cites Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:50.449233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:50.449233Z digest=sha256:201cb3acc16304c03d129f78d705acd941bfdf2728ab58cf902ef7ee3a30b221

Observation d49ff054-0793-497a-9d6f-51d2ae6368dd · outbound

This paper cites Density estimation using Real NVP.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Density estimation using Real NVP

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:50.540847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:50.540847Z digest=sha256:865f938e17e410566dcc3af91628acfb4ea8ce40ad2e432fc40ed7ac858991bb

Observation 490b0ab1-007e-4e98-afed-d8d7967799a8 · outbound

This paper cites Glow: Generative flow with invertible 1x1 convolutions,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Glow: Generative flow with invertible 1x1 convolutions,

Reference 84

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:50.651343Z digest=sha256:4b54e6297ac2ac1c65b2129d3564db8d385fa6673a3a096b46586174938874ca

Observation dea26784-32e6-463f-ad33-a1087bddb5f2 · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior NICE: Non-linear Independent Components Estimation

Reference 85

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:50.734749Z digest=sha256:216a61433341f41073f0f73d53cc7d91b5985827ab2d79bcd4f7be07cbaa91ea

Observation e2a20f3f-4307-456e-9ada-a828ef6814ea · outbound

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

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Image quality assessment: from error visibility to structural similarity,

Reference 86

Resolution
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no resolver link, observed 2026-08-06T23:51:50.783620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:50.783620Z digest=sha256:4d4050253598c3995e06d3372bfd80d1436c6b596767e7a2b113f8404b04e429

Observation 8bb5b7d9-e029-4e13-b4f1-889507542ff2 · outbound

This paper cites Image-to-image translation with conditional adversarial networks,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Image-to-image translation with conditional adversarial networks,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.683310Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:50.855892Z digest=sha256:8d5f40ca1bc3113f3d181c64b5707e884a800b6107c6488398e60574e2ac25ed

Observation 99f2ddec-435d-4b17-82fc-00e4cb7b081a · outbound

This paper cites Fields of experts: A framework for learning image priors,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Fields of experts: A framework for learning image priors,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.666177Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:50.918652Z digest=sha256:34514c73de87881f2c93c04ed3ce86f392dcbb95715c1a13776526e58d456bde

Observation 6014f1b4-8173-41a9-a7e1-8644e5553d62 · outbound

This paper cites Prior learning and gibbs reaction- diffusion,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Prior learning and gibbs reaction- diffusion,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.648734Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:51.020351Z digest=sha256:215787d8baeedd55ad7566cd449cdf77538a3bbe5092929cc9994eb95d8df2e7

Observation 268c3f8e-58e0-4342-be72-f48bdcf520dd · outbound

This paper cites Stochastic relaxation, gibbs distributions, and the bayesian restoration of images,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Stochastic relaxation, gibbs distributions, and the bayesian restoration of images,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.631747Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:51.094754Z digest=sha256:cbecc1557fb1c217a816ebd5144523e5c159043cb6135e2164094f29cbe0b129

Observation 851e5c82-8794-4c04-85ee-57169ab4d282 · outbound

This paper cites Single image haze removal using dark channel prior,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Single image haze removal using dark channel prior,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.613776Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:51.221056Z digest=sha256:47d1330857da5760c22ec9b942688cb4587fac71258ffb58e9856eab3726f4e5

Observation f8cdbf1c-f415-43c8-84ef-4128555e0e23 · outbound

This paper cites Nonlinear total variation based noise removal algorithms,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Nonlinear total variation based noise removal algorithms,

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:51.298627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:51.298627Z digest=sha256:39c227fc0c337a1a291af85c3abc08d267df0090463816a42406ea53dfb596af

Observation 5893d418-f9c9-440f-bd60-fa13e8e8f39a · outbound

This paper cites Statistics of natural images: Scaling in the woods,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Statistics of natural images: Scaling in the woods,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.533988Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:51.359781Z digest=sha256:9f829558c3b085025f5e14cbf8304280b19feb60cfb1beb2517260d154cc8109

Observation 948b8170-17ff-4331-942a-6612d85fc31a · outbound

This paper cites Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage,

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:51.480089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:51.480089Z digest=sha256:2a8cdf84f53979432b90acf5644132bb83b08b7ccd21bfde4515cc88c8846658

Observation a1ef4cf1-87f6-4309-b11c-440d2e963adc · outbound

This paper cites De-noising by soft-thresholding,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior De-noising by soft-thresholding,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.284294Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:51.551918Z digest=sha256:89c6c2119322164940abc97db0e6e36c63d8f07da017f010cd8153d61540a58a

Observation 6b83b171-24c6-4c06-8705-27c71e0dba0e · outbound

This paper cites Adapting to unknown smoothness via wavelet shrinkage,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Adapting to unknown smoothness via wavelet shrinkage,

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:51.606489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:51.606489Z digest=sha256:59c16496eff88571bce558e883a738e64b1f591c38a5c775dee8211268e2b50e

Observation a4549713-4a6b-4b1b-be24-741814ddf546 · outbound

This paper cites Analysis of multiresolution image denoising schemes using generalized gaussian and complexity priors,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Analysis of multiresolution image denoising schemes using generalized gaussian and complexity priors,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:57.032825Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:51.666132Z digest=sha256:5bb0f7921b43d0c9413b5ddc06b92682acef1ad1aeac5d009908805b343250b7

Observation ce8c63ae-055d-45e7-a486-97626ba27069 · outbound

This paper cites Mallat, A wavelet tour of signal processing.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Mallat, A wavelet tour of signal processing

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:56.740049Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:51.768058Z digest=sha256:26adf2b85be06b00d2aaf8e3a2772e1c40c44939480c5733e5efa9fc94d6be3d

Observation 4cc82e95-61e7-4af5-9de0-6d9e0206edde · outbound

This paper cites Recent developments in total variation image restoration,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior Recent developments in total variation image restoration,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:56.502214Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:51.860174Z digest=sha256:6c65f536b411ba1d951b0804d89c6a5c04d7bd8020e47f8d5adf532acdac1dad

Observation 6a797620-79cc-4827-a4f3-7a444382e5ab · outbound

This paper cites An algorithm for total variation minimization and applications,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior An algorithm for total variation minimization and applications,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:56.238766Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:51.927816Z digest=sha256:9179f282fc2e20a6199b405bb410dd2b94647cf088b0e89018df6fbdad985b88

Observation 0690cae4-db91-4572-98fd-d1a390beb812 · outbound

This paper cites From learning models of natural image patches to whole image restoration,.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior From learning models of natural image patches to whole image restoration,

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:51:55.994703Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T23:51:52.016182Z digest=sha256:8e2580900d1908fdde58d6b65ee8d8e6b6ecba50158af26048d0b95dd58f882e

Pith citing papers

No inbound Pith citation observations are available.