Paper Citation Record · LEDGER

Optimal Weighted Convolution for Classification and Denosing

As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2505.24558.

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

pith.paper-citation-record.v1
2505.24558 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:29.880979Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy32
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c862815-76d6-43fd-94b8-4a4cf479bdf1 · outbound

This paper cites A new convolution neural layer based on weights constraints.

Optimal Weighted Convolution for Classification and Denosing A new convolution neural layer based on weights constraints

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:25.212355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dfbf234-08f6-4ac2-a099-755c596fe0bb · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study.

Optimal Weighted Convolution for Classification and Denosing Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:36.557264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6c5f7544-5a32-446e-894b-2d4d934a71cc · outbound

This paper cites Noise2Self: Blind Denoising by Self-Supervision.

Optimal Weighted Convolution for Classification and Denosing Noise2Self: Blind Denoising by Self-Supervision

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:25.410514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7068a67d-6fdd-4833-9159-465867299575 · outbound

This paper cites Simple baselines for image restoration.

Optimal Weighted Convolution for Classification and Denosing Simple baselines for image restoration

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:36.351169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a51192f-76e6-49ae-990b-4ae6703cb12e · outbound

This paper cites Dynamic convolution: Attention over convolution kernels.

Optimal Weighted Convolution for Classification and Denosing Dynamic convolution: Attention over convolution kernels

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:35.991706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e9dff81-1de5-4027-93ec-f18a5e800483 · outbound

This paper cites Convolutional kernel networks for graph-structured data.

Optimal Weighted Convolution for Classification and Denosing Convolutional kernel networks for graph-structured data

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:35.567959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 52876c9b-9912-4916-99d3-cb77cd07ec00 · outbound

This paper cites Real-time denoising of ultrasound images based on deep learning.

Optimal Weighted Convolution for Classification and Denosing Real-time denoising of ultrasound images based on deep learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:35.258912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b9cc641c-a038-4f96-9c8d-01d59f457dd5 · outbound

This paper cites Analysis and comparison of high-performance computing solvers for minimisation problems in signal processing.

Optimal Weighted Convolution for Classification and Denosing Analysis and comparison of high-performance computing solvers for minimisation problems in signal processing

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:34.959726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 131facff-1c23-4abf-8032-8094acc92c7a · outbound

This paper cites Weighted convolutional neural network ensemble.

Optimal Weighted Convolution for Classification and Denosing Weighted convolutional neural network ensemble

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.123485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60c10684-c403-4816-b7cf-a92b337af826 · outbound

This paper cites Deep learning for computational chemistry.

Optimal Weighted Convolution for Classification and Denosing Deep learning for computational chemistry

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:34.602062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a16df642-2679-44cc-9d3a-d51e92a99d28 · outbound

This paper cites CascadedGaze: Efficiency in Global Context Extraction for Image Restoration.

Optimal Weighted Convolution for Classification and Denosing CascadedGaze: Efficiency in Global Context Extraction for Image Restoration

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.309203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29cffc59-63ab-400f-ba31-c1f3c668bb2f · outbound

This paper cites Generalizing the convolution operator in convolutional neural networks.

Optimal Weighted Convolution for Classification and Denosing Generalizing the convolution operator in convolutional neural networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:34.463419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da1c4aa7-1109-4b92-8670-8f176ac3e191 · outbound

This paper cites Weighted channel dropout for regularization of deep convolutional neural network.

Optimal Weighted Convolution for Classification and Denosing Weighted channel dropout for regularization of deep convolutional neural network

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.515263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d22760f-2bf6-4c33-bbd8-8c98594839d6 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification.

Optimal Weighted Convolution for Classification and Denosing Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:34.253173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c6ba03e-dec0-4426-975b-f68790e991a4 · outbound

This paper cites Deep residual learning for image recognition.

Optimal Weighted Convolution for Classification and Denosing Deep residual learning for image recognition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.693284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7058d6ff-a7d4-4928-a75c-e9388711d9eb · outbound

This paper cites Backpropagation and stochastic gradient descent method.

Optimal Weighted Convolution for Classification and Denosing Backpropagation and stochastic gradient descent method

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:34.053291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 769795f8-8ea7-431e-a477-5311a11ce8fb · outbound

This paper cites Variable weight algorithm for convolutional neural networks and its applications to classification of seizure phases and types.

Optimal Weighted Convolution for Classification and Denosing Variable weight algorithm for convolutional neural networks and its applications to classification of seizure phases and types

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:33.911969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2bd60ddb-a0d5-4e93-93fb-c28da60d7ac2 · outbound

This paper cites Hyper-parameter optimization of deep learning model for prediction of parkinson’s disease.

Optimal Weighted Convolution for Classification and Denosing Hyper-parameter optimization of deep learning model for prediction of parkinson’s disease

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:33.745832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe8a3e90-c71f-4e53-8954-4e96a89271bc · outbound

This paper cites Air learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation.

Optimal Weighted Convolution for Classification and Denosing Air learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:33.549872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f40f5e99-6eee-458a-82be-bb328db9b8d7 · outbound

This paper cites Noise2void-learning denoising from single noisy images.

Optimal Weighted Convolution for Classification and Denosing Noise2void-learning denoising from single noisy images

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:33.424438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7922a45-a255-4e9e-acb8-f1eeb7d566dc · outbound

This paper cites Learning multiple layers of features from tiny images.

Optimal Weighted Convolution for Classification and Denosing Learning multiple layers of features from tiny images

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.321348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08f23a47-0a3a-4792-b6b5-23a6d2ce49a4 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Optimal Weighted Convolution for Classification and Denosing Adam: A Method for Stochastic Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.400509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72e061e4-6a5d-4333-a359-c485f976635c · outbound

This paper cites Network In Network.

Optimal Weighted Convolution for Classification and Denosing Network In Network

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.501349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50208763-f09c-4830-ac60-764531592009 · outbound

This paper cites Pay attention to mlp s.

Optimal Weighted Convolution for Classification and Denosing Pay attention to mlp s

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:33.295282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b0afc6df-ce2c-41e6-831a-8e07bae413f1 · outbound

This paper cites Noise2Noise: Learning Image Restoration without Clean Data.

Optimal Weighted Convolution for Classification and Denosing Noise2Noise: Learning Image Restoration without Clean Data

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.763153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33e42c00-b922-4f94-9239-ee6e15223016 · outbound

This paper cites Omni-dimensional dynamic convolution.

Optimal Weighted Convolution for Classification and Denosing Omni-dimensional dynamic convolution

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.875719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cb6baab-eaca-451b-828a-b4827d2ff8ee · outbound

This paper cites Convolutional kernel networks.

Optimal Weighted Convolution for Classification and Denosing Convolutional kernel networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:33.068378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8747053d-c541-4625-bbab-7d170425c008 · outbound

This paper cites Gated attention coding for training high-performance and efficient spiking neural networks.

Optimal Weighted Convolution for Classification and Denosing Gated attention coding for training high-performance and efficient spiking neural networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:32.916592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a8341eb7-fea2-410b-bc39-a537192e1eb9 · outbound

This paper cites Deep CNN hyperparameter optimization algorithms for sensor-based human activity recognition.

Optimal Weighted Convolution for Classification and Denosing Deep CNN hyperparameter optimization algorithms for sensor-based human activity recognition

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:32.761978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8eb6903f-8508-4e16-ac24-77b5f47df5f3 · outbound

This paper cites Artificial intelligence, machine learning and deep learning in advanced robotics, a review.

Optimal Weighted Convolution for Classification and Denosing Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:32.567480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ffb82646-88ce-4d65-ad88-27716e55d248 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

Optimal Weighted Convolution for Classification and Denosing Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:28.488036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 267433b6-bcb1-4196-8874-f6bff69b7418 · outbound

This paper cites Avoiding overfitting: A survey on regularization methods for convolutional neural networks.

Optimal Weighted Convolution for Classification and Denosing Avoiding overfitting: A survey on regularization methods for convolutional neural networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:32.385115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0666ea6-4add-4e3f-9f6b-4e5ddd4a331f · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

Optimal Weighted Convolution for Classification and Denosing Very deep convolutional networks for large-scale image recognition

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:32.198520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a03a84a8-6090-4d74-91b9-9f80377a477f · outbound

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

Optimal Weighted Convolution for Classification and Denosing Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:31.949477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c271de96-bff0-438a-9fdf-ff535e6242da · outbound

This paper cites https://top500.org/lists/top500/2024/06/.

Optimal Weighted Convolution for Classification and Denosing https://top500.org/lists/top500/2024/06/

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:31.713700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5215eeba-7180-4827-aa38-ae5db98f6150 · outbound

This paper cites Attention is all you need.

Optimal Weighted Convolution for Classification and Denosing Attention is all you need

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:31.585133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 009d6892-1e6c-4b85-a262-d26639ef145e · outbound

This paper cites A universal image quality index.

Optimal Weighted Convolution for Classification and Denosing A universal image quality index

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:31.416166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 84883c18-d9ef-47d7-8ceb-9d300f6d38e1 · outbound

This paper cites Regularization of neural networks using dropconnect.

Optimal Weighted Convolution for Classification and Denosing Regularization of neural networks using dropconnect

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:31.252039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d13aa99e-346b-4a17-9b89-5af6b1e34879 · outbound

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

Optimal Weighted Convolution for Classification and Denosing Restormer: Efficient transformer for high-resolution image restoration

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:31.102146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f28b163a-a017-40fa-a3e1-8aa075532e7c · outbound

This paper cites Hyperparameter optimization in cnn for learning-centered emotion recognition for intelligent tutoring systems.

Optimal Weighted Convolution for Classification and Denosing Hyperparameter optimization in cnn for learning-centered emotion recognition for intelligent tutoring systems

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:30.932229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 265621c4-d161-47ee-9818-bd7b00ff100f · outbound

This paper cites Improvement of generalization ability of deep CNN via implicit regularization in two-stage training process.

Optimal Weighted Convolution for Classification and Denosing Improvement of generalization ability of deep CNN via implicit regularization in two-stage training process

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:30.702895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f6bccaa-356c-4bb6-afcb-3b594084049a · outbound

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

Optimal Weighted Convolution for Classification and Denosing Beyond a gaussian denoiser: Residual learning of deep CNN for image denoising

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:30.520670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f5573f31-a8d0-43be-a6e5-be19db5e3d83 · outbound

This paper cites Fsim: A feature similarity index for image quality assessment.

Optimal Weighted Convolution for Classification and Denosing Fsim: A feature similarity index for image quality assessment

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:30.342158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15124851-ebd4-4dfb-8c28-0c266c911593 · outbound

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

Optimal Weighted Convolution for Classification and Denosing Ffdnet: Toward a fast and flexible solution for CNN -based image denoising

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:30.147999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.