Paper Citation Record · LEDGER

Convolutional Neural Networks Do Work with Pre-Defined Filters

As of 12 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2411.18388.

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

pith.paper-citation-record.v1
2411.18388 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:20:27.995415Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

26 of 26 outbound references displayed

verified exact1
verified fuzzy20
unresolved5
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d51e199a-8142-4804-8f6d-33cd7deb71ca · outbound

This paper cites Large neural networks learning from scratch with very few data and without regularization,.

Convolutional Neural Networks Do Work with Pre-Defined Filters Large neural networks learning from scratch with very few data and without regularization,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.335548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 12f8c2e2-cfea-47a9-8f2b-7db650ba1d73 · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Convolutional Neural Networks Do Work with Pre-Defined Filters Deep Residual Learning for Image Recognition,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.324679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e7473d82-ea79-47dc-9979-4ca25896067d · outbound

This paper cites Handcrafted versus CNN Features for Ear Recognition,.

Convolutional Neural Networks Do Work with Pre-Defined Filters Handcrafted versus CNN Features for Ear Recognition,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.312124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5119ff40-2c4c-40fc-b7ad-4fc88c5044f8 · outbound

This paper cites Deep Convolutional Neural Networks as Generic Feature Extractors.

Convolutional Neural Networks Do Work with Pre-Defined Filters Deep Convolutional Neural Networks as Generic Feature Extractors

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:20:28.079868Z

Source-reported events for the cited work

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Observation 75bcd077-062c-49d6-b1b6-3573297fe7b6 · outbound

This paper cites Reconciling modern machine-learning practice and the classical bias–variance trade-off,.

Convolutional Neural Networks Do Work with Pre-Defined Filters Reconciling modern machine-learning practice and the classical bias–variance trade-off,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.300803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation df92de9e-273a-49d1-a7bf-bf163baa5b1c · outbound

This paper cites Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position,.

Convolutional Neural Networks Do Work with Pre-Defined Filters Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.288765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b40c763f-8b15-46a4-8d2d-f197227f28b0 · outbound

This paper cites PCFNet: Deep neural network with predefined convolutional filters,.

Convolutional Neural Networks Do Work with Pre-Defined Filters PCFNet: Deep neural network with predefined convolutional filters,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.276705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e66c6338-f1d6-4a7e-b56b-56f6070b11ee · outbound

This paper cites The Power of Linear Combinations: Learning with Random Convolutions.

Convolutional Neural Networks Do Work with Pre-Defined Filters The Power of Linear Combinations: Learning with Random Convolutions

Reference 8

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Source-reported events for the cited work

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Observation d62b2098-7c03-4325-9088-8bde8d3363a9 · outbound

This paper cites ImageNet Classification with Deep Convolutional Neural Networks,.

Convolutional Neural Networks Do Work with Pre-Defined Filters ImageNet Classification with Deep Convolutional Neural Networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.265764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0dba2b3c-07ff-468e-ae20-276060cf04fe · outbound

This paper cites CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters,.

Convolutional Neural Networks Do Work with Pre-Defined Filters CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.254846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 58d5f61f-0e28-4afc-b490-bbf94d0bf08e · outbound

This paper cites Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories,.

Convolutional Neural Networks Do Work with Pre-Defined Filters Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.243269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f0174b39-1835-4c1b-845e-103587eacabd · outbound

This paper cites The Caltech-UCSD Birds-200-2011 Dataset,.

Convolutional Neural Networks Do Work with Pre-Defined Filters The Caltech-UCSD Birds-200-2011 Dataset,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.231763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 61cc3964-c4fe-4dcd-89fc-da20800b620b · outbound

This paper cites Caltech-UCSD Birds 200,.

Convolutional Neural Networks Do Work with Pre-Defined Filters Caltech-UCSD Birds 200,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T11:20:27.943530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91288202-6cfa-43ce-8819-50d177eccf3e · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Convolutional Neural Networks Do Work with Pre-Defined Filters Fine-Grained Visual Classification of Aircraft

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T11:20:27.947980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff2943ed-ee8a-49ff-a4db-ac91722deed3 · outbound

This paper cites Automated Flower Classification over a Large Number of Classes,.

Convolutional Neural Networks Do Work with Pre-Defined Filters Automated Flower Classification over a Large Number of Classes,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.213399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6775fbd7-dd92-4548-9e65-9926925562c8 · outbound

This paper cites 3D Object Representations for Fine-Grained Categorization,.

Convolutional Neural Networks Do Work with Pre-Defined Filters 3D Object Representations for Fine-Grained Categorization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.201757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dfe91590-f0a2-48b5-8665-b801560c8987 · outbound

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

Convolutional Neural Networks Do Work with Pre-Defined Filters Learning multiple layers of features from tiny images,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T11:20:27.959908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad09d921-9f48-4b2e-b9e0-66dbdeee1b7a · outbound

This paper cites Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification,.

Convolutional Neural Networks Do Work with Pre-Defined Filters Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.181979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0a502bb1-0dfb-4e9d-b043-5435e070e738 · outbound

This paper cites Large batch optimization for deep learning: Training BERT in 76 minutes,.

Convolutional Neural Networks Do Work with Pre-Defined Filters Large batch optimization for deep learning: Training BERT in 76 minutes,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.169708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eff6720d-2442-4be2-83cf-0f32992bff97 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library,.

Convolutional Neural Networks Do Work with Pre-Defined Filters PyTorch: An Imperative Style, High-Performance Deep Learning Library,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.157886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d8973a1b-850c-459c-bc5b-e732e3fd6c4b · outbound

This paper cites Visualizing higher-layer features of a deep network,.

Convolutional Neural Networks Do Work with Pre-Defined Filters Visualizing higher-layer features of a deep network,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.144591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d2f13945-8557-4e81-8a11-e9b92b6c81a0 · outbound

This paper cites Understanding deep image representations by inverting them,.

Convolutional Neural Networks Do Work with Pre-Defined Filters Understanding deep image representations by inverting them,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.130847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 02f025a3-bc02-482f-902e-c41e9a2ebce7 · outbound

This paper cites Understanding Neural Networks Through Deep Visualization.

Convolutional Neural Networks Do Work with Pre-Defined Filters Understanding Neural Networks Through Deep Visualization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T11:20:27.982507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 423f55db-67b6-4752-8a88-8d58fa83b62a · outbound

This paper cites Inceptionism: Going deeper into neural networks,.

Convolutional Neural Networks Do Work with Pre-Defined Filters Inceptionism: Going deeper into neural networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.117933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bc51dfc3-b495-4ba6-9129-3ecd4398d0ec · outbound

This paper cites Deep neural networks are easily fooled: High confidence predictions for unrecognizable images,.

Convolutional Neural Networks Do Work with Pre-Defined Filters Deep neural networks are easily fooled: High confidence predictions for unrecognizable images,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.105156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 765240fb-9ecd-4623-8e83-4a70c9138894 · outbound

This paper cites ImageNet Large Scale Visual Recognition Challenge,.

Convolutional Neural Networks Do Work with Pre-Defined Filters ImageNet Large Scale Visual Recognition Challenge,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:20:28.091952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.