Paper Citation Record · LEDGER

Stylized Structural Patterns for Improved Neural Network Pre-training

As of 22 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.19465.

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

pith.paper-citation-record.v1
2506.19465 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:38:09.418852Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

39 of 39 outbound references displayed

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verified fuzzy26
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d84ef78f-d0db-4058-a19c-7205a59c9c47 · outbound

This paper cites Autoencoder configuration file (kl-f4), 2023.

Stylized Structural Patterns for Improved Neural Network Pre-training Autoencoder configuration file (kl-f4), 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:38:09.644781Z

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Observation cdfc2a80-b65c-49ea-a6c7-878618684afe · outbound

This paper cites Improving fractal pre- training.

Stylized Structural Patterns for Improved Neural Network Pre-training Improving fractal pre- training

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:38:09.632785Z

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Observation 7aaeab75-ad09-4e66-9c9c-edf60c8aea69 · outbound

This paper cites Neuralfractal - a visual exploration of neu- ral dynamical systems.

Stylized Structural Patterns for Improved Neural Network Pre-training Neuralfractal - a visual exploration of neu- ral dynamical systems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:38:09.620757Z

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Observation f1cd18a3-d18f-4fb2-b130-0ca0e8b03a6c · outbound

This paper cites Learning to see by looking at noise.

Stylized Structural Patterns for Improved Neural Network Pre-training Learning to see by looking at noise

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:38:09.607481Z

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Observation ac05a36f-bf71-41e1-b794-5a8084c52c96 · outbound

This paper cites Procedural image programs for representation learning.

Stylized Structural Patterns for Improved Neural Network Pre-training Procedural image programs for representation learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:30.474739Z

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Observation 1b80eeee-fad5-48a2-aede-334fdd87298f · outbound

This paper cites Demystifying MMD GANs.

Stylized Structural Patterns for Improved Neural Network Pre-training Demystifying MMD GANs

Reference 6

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Observation c57638d5-85e8-46eb-8bf2-7786cc9155bc · outbound

This paper cites The design and evolution of disney’s hyperion renderer.

Stylized Structural Patterns for Improved Neural Network Pre-training The design and evolution of disney’s hyperion renderer

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:30.254749Z

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Observation 057ebbcf-fb2b-4287-b25b-0a1cbbb7ea8d · outbound

This paper cites Im- age neural style transfer: A review.

Stylized Structural Patterns for Improved Neural Network Pre-training Im- age neural style transfer: A review

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:30.000181Z

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Observation 1bf47154-dd25-46ec-9241-ec951d17d54d · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Stylized Structural Patterns for Improved Neural Network Pre-training Emerg- ing properties in self-supervised vision transformers

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:29.817485Z

Source-reported events for the cited work

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Observation 8fa7bd2d-29bb-435d-a322-933131aa32ab · outbound

This paper cites Pre-training vision models with mandelbulb variations.

Stylized Structural Patterns for Improved Neural Network Pre-training Pre-training vision models with mandelbulb variations

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:29.548576Z

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Observation 74df3757-3b9b-44bd-b73d-e0c8e1f679c8 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Stylized Structural Patterns for Improved Neural Network Pre-training Imagenet: A large-scale hierarchical image database

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:29.283711Z

Source-reported events for the cited work

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Observation 184e5f6f-cfb9-4f7c-9572-d5f5f3e49843 · outbound

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

Stylized Structural Patterns for Improved Neural Network Pre-training An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

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Observation 7179d6ed-2985-450f-9756-f2c605eb8957 · outbound

This paper cites A Neural Algorithm of Artistic Style.

Stylized Structural Patterns for Improved Neural Network Pre-training A Neural Algorithm of Artistic Style

Reference 13

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Source-reported events for the cited work

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Observation ef8376cf-4202-4a11-87b7-d1cedc82e5c9 · outbound

This paper cites 9 amazing fractals found in nature.

Stylized Structural Patterns for Improved Neural Network Pre-training 9 amazing fractals found in nature

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:28.903963Z

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Observation ffb6d526-5cde-4bd6-afa1-a464a062e77e · outbound

This paper cites Diffusion- enhanced patchmatch: A framework for arbitrary style trans- fer with diffusion models.

Stylized Structural Patterns for Improved Neural Network Pre-training Diffusion- enhanced patchmatch: A framework for arbitrary style trans- fer with diffusion models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:28.601814Z

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Observation 77b9d4fd-a7e2-41ac-a4a7-59fae95abbca · outbound

This paper cites Neural style transfer: A review.

Stylized Structural Patterns for Improved Neural Network Pre-training Neural style transfer: A review

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:28.240342Z

Source-reported events for the cited work

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Observation 62af0145-f5c0-4742-b218-85ab10df8fb2 · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

Stylized Structural Patterns for Improved Neural Network Pre-training Analyzing and improving the training dynamics of diffusion models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:27.920608Z

Source-reported events for the cited work

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Observation 0ad15f1e-85a9-4524-9e04-11a3174880b3 · outbound

This paper cites Pre-training without natural images.

Stylized Structural Patterns for Improved Neural Network Pre-training Pre-training without natural images

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:27.598360Z

Source-reported events for the cited work

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Observation 88bedf03-6fca-4467-806d-11bd351deef5 · outbound

This paper cites Re- placing labeled real-image datasets with auto-generated con- tours.

Stylized Structural Patterns for Improved Neural Network Pre-training Re- placing labeled real-image datasets with auto-generated con- tours

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:27.217445Z

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Observation a782ac36-7f99-490b-8360-5de2d1ada7f6 · outbound

This paper cites Neural neighbor style transfer.

Stylized Structural Patterns for Improved Neural Network Pre-training Neural neighbor style transfer

Reference 20

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Source-reported events for the cited work

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Observation 3e845375-532f-4bae-bb0f-45b7bdad4fc0 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Stylized Structural Patterns for Improved Neural Network Pre-training Microsoft COCO: Common Objects in Context

Reference 21

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Observation a36712c8-f26b-4c1c-aa44-25a6f1b07853 · outbound

This paper cites The fractal geometry of nature/revised and enlarged edition.

Stylized Structural Patterns for Improved Neural Network Pre-training The fractal geometry of nature/revised and enlarged edition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:26.405162Z

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Observation d6338fd1-6e9d-4068-88b5-947191a1130a · outbound

This paper cites Can vi- sion transformers learn without natural images? In Proceed- ings of the AAAI Conference on Artificial Intelligence, pages 1990–1998, 2022.

Stylized Structural Patterns for Improved Neural Network Pre-training Can vi- sion transformers learn without natural images? In Proceed- ings of the AAAI Conference on Artificial Intelligence, pages 1990–1998, 2022

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:26.054754Z

Source-reported events for the cited work

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Observation 6155329a-6ecf-4311-b88a-4719afec7f64 · outbound

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

Stylized Structural Patterns for Improved Neural Network Pre-training High-resolution image synthesis with latent diffusion models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:25.654728Z

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Observation 2df076a6-9d4b-4172-99b4-ddd4ad156484 · outbound

This paper cites DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer.

Stylized Structural Patterns for Improved Neural Network Pre-training DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer

Reference 25

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Observation 5d8e3939-01c0-45af-8992-df60eeac5058 · outbound

This paper cites No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models.

Stylized Structural Patterns for Improved Neural Network Pre-training No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Reference 26

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Observation c73e3dd7-f970-4904-90c6-b859e9ee38bc · outbound

This paper cites Segrcdb: Seman- tic segmentation via formula-driven supervised learning.

Stylized Structural Patterns for Improved Neural Network Pre-training Segrcdb: Seman- tic segmentation via formula-driven supervised learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:25.394343Z

Source-reported events for the cited work

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Observation a9aa3cc4-adce-4098-ac5b-0aaf8616fe72 · outbound

This paper cites Visual atoms: Pre-training vision transformers with sinusoidal waves.

Stylized Structural Patterns for Improved Neural Network Pre-training Visual atoms: Pre-training vision transformers with sinusoidal waves

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:25.159434Z

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Observation f1340f8b-23d5-4d02-b35c-93cd49770fea · outbound

This paper cites Common techniques for generating fractals, 2024.

Stylized Structural Patterns for Improved Neural Network Pre-training Common techniques for generating fractals, 2024

Reference 29

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Source-reported events for the cited work

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Observation e9518a34-481e-46b9-bbcf-996ce5f8a583 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Stylized Structural Patterns for Improved Neural Network Pre-training mixup: Beyond Empirical Risk Minimization

Reference 30

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Observation e2bd6a02-9de1-47f8-88dd-a8920661377c · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Stylized Structural Patterns for Improved Neural Network Pre-training The unreasonable effectiveness of deep features as a perceptual metric

Reference 31

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Stylized Structural Patterns for Improved Neural Network Pre-training Inversion-based style transfer with diffusion models

Reference 32

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Observation ceb9c6fe-b71c-4774-a8ae-2ad725ceb8ca · outbound

This paper cites Places: A 10 million image database for scene recognition.

Stylized Structural Patterns for Improved Neural Network Pre-training Places: A 10 million image database for scene recognition

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:24.344749Z

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Observation 1eb1b6ea-2912-4442-bc53-d68aa2dfc0c7 · outbound

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Stylized Structural Patterns for Improved Neural Network Pre-training Unresolved cited work

Reference 34

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Observation d0a81605-e3a4-45ee-9ff9-e9793a1060fa · outbound

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Stylized Structural Patterns for Improved Neural Network Pre-training Unresolved cited work

Reference 34

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Observation e66f6779-0434-4c2a-80d9-6d10771dbee2 · outbound

This paper cites The latent space of AE has 4 channels as in [1].

Stylized Structural Patterns for Improved Neural Network Pre-training The latent space of AE has 4 channels as in [1]

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:38:09.564129Z

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Observation ed73aa1b-58fc-4c92-865c-288a08804f36 · outbound

This paper cites The latent space of AE has 4 channels as in [1].

Stylized Structural Patterns for Improved Neural Network Pre-training The latent space of AE has 4 channels as in [1]

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:14:23.617603Z

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Observation 286d76ea-9876-4386-ba6c-58ce4efc161c · outbound

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Stylized Structural Patterns for Improved Neural Network Pre-training Unresolved cited work

Reference 36

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Observation 89775163-011f-4c95-92de-1f26077fb895 · outbound

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Stylized Structural Patterns for Improved Neural Network Pre-training Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:38:09.550670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

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