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Paper Citation Record · LEDGER

Channel Decomposition into Painting Actions

As of 16 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:1908.04694.

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

pith.paper-citation-record.v1
1908.04694 v4

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:09:50.084539Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy29
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1ff8edb-8766-4732-a6af-a33dbb1c2a6c · outbound

This paper cites Image style transfer using convolutional neural networks.

Channel Decomposition into Painting Actions Image style transfer using convolutional neural networks

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4929e462-0a59-4b7d-a99b-32f3f36a7d9f · outbound

This paper cites Perceptual losses for real-time style transfer and super- resolution.

Channel Decomposition into Painting Actions Perceptual losses for real-time style transfer and super- resolution

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 583447aa-9e18-4a99-8481-8e6f8e5b0e5b · outbound

This paper cites Texture networks: Feed- forward synthesis of textures and stylized images.

Channel Decomposition into Painting Actions Texture networks: Feed- forward synthesis of textures and stylized images

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5cc68d35-d8a3-4143-94e9-3bb9ed634669 · outbound

This paper cites Universal style transfer via feature transforms.

Channel Decomposition into Painting Actions Universal style transfer via feature transforms

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8792f8bb-7ce3-4032-9380-9cc398c3e19d · outbound

This paper cites Stroke controllable fast style transfer with adaptive receptive fields.

Channel Decomposition into Painting Actions Stroke controllable fast style transfer with adaptive receptive fields

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9b580019-b86c-43e7-a161-c1d9c9161c03 · outbound

This paper cites Synthesizing programs for images using reinforced adversarial learning.

Channel Decomposition into Painting Actions Synthesizing programs for images using reinforced adversarial learning

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d6850dc8-17f6-4033-b138-e101525afe0c · outbound

This paper cites Strokenet: A neural painting environment.

Channel Decomposition into Painting Actions Strokenet: A neural painting environment

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d1336c11-f4d7-4a65-a65c-cb0a7c96177a · outbound

This paper cites Learning to Paint With Model-based Deep Reinforcement Learning.

Channel Decomposition into Painting Actions Learning to Paint With Model-based Deep Reinforcement Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T14:09:49.982538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c7c41979-183d-4206-801c-71c65e5eb118 · outbound

This paper cites Mask r-cnn.

Channel Decomposition into Painting Actions Mask r-cnn

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9c3f8675-ced3-4c10-86b1-ad2c4b7fef40 · outbound

This paper cites Multi-style generative network for real-time transfer.

Channel Decomposition into Painting Actions Multi-style generative network for real-time transfer

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ccbf4d3c-5fad-478a-af86-c674a76c16a0 · outbound

This paper cites Learning internal representations by error propagation.

Channel Decomposition into Painting Actions Learning internal representations by error propagation

Reference 11

Resolution
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no resolver link, observed 2026-08-14T14:09:49.993600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7cc1b5f3-ed35-4b2c-a02d-00bce296ecbd · outbound

This paper cites Modular learning in neural networks.

Channel Decomposition into Painting Actions Modular learning in neural networks

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b9ee5ebf-e49b-4787-9569-2a236c19aa90 · outbound

This paper cites Auto-encoding variational bayes.

Channel Decomposition into Painting Actions Auto-encoding variational bayes

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T14:09:50.001952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5512ef23-5f21-44f9-9fbc-5b880be9d636 · outbound

This paper cites Generative adversarial nets.

Channel Decomposition into Painting Actions Generative adversarial nets

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8c2e196f-c194-489e-b0b4-c992cc331775 · outbound

This paper cites Unsupervised representation learning with deep convolutional generative adversarial networks.

Channel Decomposition into Painting Actions Unsupervised representation learning with deep convolutional generative adversarial networks

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 10ce319f-536c-4776-8587-97b2dd1bc17c · outbound

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

Channel Decomposition into Painting Actions Image-to-image translation with conditional adversarial networks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.454669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3c323f34-9a7d-4e7c-853a-eab245d0300f · outbound

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

Channel Decomposition into Painting Actions Unpaired image-to-image translation using cycle-consistent adversarial networks

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.441083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 97ee2c87-7de4-482d-8016-5228930295a2 · outbound

This paper cites Image-to-image translation via group-wise deep whitening-and-coloring transformation.

Channel Decomposition into Painting Actions Image-to-image translation via group-wise deep whitening-and-coloring transformation

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6c40e1c1-58f5-418a-9cde-d880298d452f · outbound

This paper cites Learning what and where to draw.

Channel Decomposition into Painting Actions Learning what and where to draw

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 11983eff-8441-415d-bbd8-f81ce85b6ba7 · outbound

This paper cites Pose guided person image generation.

Channel Decomposition into Painting Actions Pose guided person image generation

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d6dc6d37-93a6-4949-9e5b-b8936320b3ff · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Channel Decomposition into Painting Actions A style-based generator architecture for generative adversarial networks

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.377471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 426c47a4-5b55-43cc-a968-d773c11cb15d · outbound

This paper cites Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks.

Channel Decomposition into Painting Actions Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.358916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation eba28852-313c-48e2-aa0e-ff7a70aab93e · outbound

This paper cites Large scale GAN training for high fidelity natural image synthesis.

Channel Decomposition into Painting Actions Large scale GAN training for high fidelity natural image synthesis

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.343171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 38094fad-aec9-4b24-88ac-9253d68a1230 · outbound

This paper cites Towards the auto- matic anime characters creation with generative adversarial networks.

Channel Decomposition into Painting Actions Towards the auto- matic anime characters creation with generative adversarial networks

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.328436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a5081395-10bb-4936-9737-6d85360f2296 · outbound

This paper cites Cartoongan: Generative adversarial networks for photo cartoonization.

Channel Decomposition into Painting Actions Cartoongan: Generative adversarial networks for photo cartoonization

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.297773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1e357c86-9808-496e-97dd-ed1c45d4d61b · outbound

This paper cites High- resolution image synthesis and semantic manipulation with conditional gans.

Channel Decomposition into Painting Actions High- resolution image synthesis and semantic manipulation with conditional gans

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.281758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c4e4d924-56cc-4932-b0bf-e5245e52ed90 · outbound

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

Channel Decomposition into Painting Actions Very deep convolutional networks for large-scale image recogni- tion

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.257496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1bebc1b1-2c1e-4d3b-ae09-b655fef96f46 · outbound

This paper cites A learned representation for artistic style.

Channel Decomposition into Painting Actions A learned representation for artistic style

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.231615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4b3a60fc-c48f-40a5-b3d7-bf2cf691372b · outbound

This paper cites Recurrent world models facilitate policy evolution.

Channel Decomposition into Painting Actions Recurrent world models facilitate policy evolution

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.207454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d53aac72-dd43-4e18-a52c-2d913123924f · outbound

This paper cites Learning latent dynamics for planning from pixels.

Channel Decomposition into Painting Actions Learning latent dynamics for planning from pixels

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.187746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 62c43204-8d6a-4f57-8675-efcf224a49f2 · outbound

This paper cites Neural Painters: A learned differentiable constraint for generating brushstroke paintings.

Channel Decomposition into Painting Actions Neural Painters: A learned differentiable constraint for generating brushstroke paintings

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-14T14:09:50.076266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0bc6bfde-bae2-4fa2-af35-06e83a3098f3 · outbound

This paper cites Learning methods for generic object recognition with invariance to pose and lighting.

Channel Decomposition into Painting Actions Learning methods for generic object recognition with invariance to pose and lighting

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.171038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5234364f-5627-4176-8063-a2a790dba929 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Channel Decomposition into Painting Actions Imagenet classification with deep convolutional neural networks

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.149475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

No inbound Pith citation observations are available.