Pith. sign in

Paper Citation Record · LEDGER

Channel Decomposition into Painting Actions

As of 18 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 2026-08-18T06:34:40.430872+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
raw_fallback, observed 2026-08-14T14:09:50.626863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:49.952574Z digest=sha256:c946b25e891689546bb1a50f8147d3ff8236b4d7f5fbb0ce197c38880f7ebbb5

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
raw_fallback, observed 2026-08-14T14:09:50.613894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:49.957967Z digest=sha256:480ef06511295fa84959927d9f91f228e595dffef72467245a121c0f079d3d92

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
raw_fallback, observed 2026-08-14T14:09:50.601779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:49.962410Z digest=sha256:1761d0df38ad21a0d65c7504e92a8a36813f33b15c6a463183135522a5c5ded7

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
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.587772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:49.966572Z digest=sha256:b1c25113ceb938f85bbd5c74e0be5fa89ed793e48e03a7a2490e9da36a87f917

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
raw_fallback, observed 2026-08-14T14:09:50.573707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:49.970930Z digest=sha256:21f1bbbf51fffb11f14db49c9333a38787d5d142d5acf924c5a8df52066d15f0

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
raw_fallback, observed 2026-08-14T14:09:50.559926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:49.974916Z digest=sha256:af7536bdeca79daff12ca4fd6e3dc8cc5c3a72adb8a0b55468d2b02e71a1ed4e

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
raw_fallback, observed 2026-08-14T14:09:50.546669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:49.979131Z digest=sha256:359dc7a5e806ae666b84c75f00c45be23fe4a833df076500a7a960b337bb76ce

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.

source=pdf_text observed=2026-08-14T14:09:49.982538Z digest=sha256:76abf614eacc1a764e54329491463399605b171069eb83be1ba4af197da48851

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
raw_fallback, observed 2026-08-14T14:09:50.533954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:49.986158Z digest=sha256:3dac0fd82b2c35307c661fc15f2ce3fbc705a3fc54689585b18162640637514b

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
raw_fallback, observed 2026-08-14T14:09:50.522393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:49.989505Z digest=sha256:1692a639e9a6248de0a62d8cbe8c8e16e0c25540c50f7b095bf5b0f8cd0945ba

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:09:49.993600Z digest=sha256:8bd013038d861ac00842ce89539bb8646190efb6cc50494d50d95be617a752ef

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
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.501563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:49.997534Z digest=sha256:11effa1a7f4dea6b9184a08b015a711ab1d902eab47f5893180cfd19e2894263

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.

source=pdf_text observed=2026-08-14T14:09:50.001952Z digest=sha256:fc5f536f39faed99d22a5ebf38722001e07e9f05094567a2612dec5cf6749735

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

This paper cites Generative adversarial nets.

Channel Decomposition into Painting Actions Generative adversarial nets

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.481069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.005524Z digest=sha256:5cc9f49ed48dd3dab5a5c53a3f16b3f289dd5e4d678fbe8b14404c5206995e4d

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
raw_fallback, observed 2026-08-14T14:09:50.468227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.010001Z digest=sha256:2651e619acfa693c656ac613de9e9e1a3507122f87db9cd65990dbbdf6a65be8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.014687Z digest=sha256:72531f3e126dfe039897d9c8c062aed3ce1b7155ff0b66edb95ac3a863fff166

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.018623Z digest=sha256:bfa03948e3b613eb503f66292ae0491f9feb790ac2eaef5f3077ab9235ba50ae

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
raw_fallback, observed 2026-08-14T14:09:50.424067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.022415Z digest=sha256:38cb373273523846b77e109f748272129e5d466ef854f278532b7838fe181238

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
verified fuzzy
raw_fallback, observed 2026-08-14T14:09:50.411159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.025984Z digest=sha256:8c6d59807177417d2a3894b4ea84477a07efc74399175b84fd85d2cb86df7a61

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
raw_fallback, observed 2026-08-14T14:09:50.392379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.030740Z digest=sha256:df2deab9580516177442b6de3bf1a171add71f63a801e113b65fa36feffaa43e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.035475Z digest=sha256:4ce4c5800b2e818b1bbfcdd4a43e74f340f3c42282b6a4ba16cdbd5a1ee79435

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.040810Z digest=sha256:f805e36cc54ed5e5ae470c0a1117fb1b31e9602b04c8c3577088ffcc5cadd35e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.044751Z digest=sha256:a7eed262276da6cbfa2f18a9b091622cb635ce1278dedef74307d9c453d459c1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.048664Z digest=sha256:279c244e52d5c82dda874e121d67275d2e25fe739ae93932a2893d56ec1adc46

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.052595Z digest=sha256:fd2c06805a143a547919472988fc2435bfea99f640d96ad27d3fbe925fdd8341

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.056873Z digest=sha256:be340543e6c6c1e18c82c7f0a1478bc177f66d5160ff3f22f27963c5ec1b1510

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.060777Z digest=sha256:1e104185231fdbf35e1418bd5016d5503c7d176dcab967db2ff1a502df5e4021

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.064596Z digest=sha256:abee451fcaa1e87e3ed1d4739cf6fd043f7cf82a7134c14c21500c2ccb55275d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.068651Z digest=sha256:3c06c47b0d0cea39993430d7d768ee6c07f2889ea85ae9e08581f9e3f58ac604

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.072525Z digest=sha256:b6f210db4705ebefd333bc4c5c244cc5b5b319d0eaee362ebe0be593d0a8daac

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.

source=pdf_text observed=2026-08-14T14:09:50.076266Z digest=sha256:2636fd0d4d353e782d7ac7cea61727d8815d9889788055807f35fa1207a2840a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.080020Z digest=sha256:29e5307242bc3b4386ee406d84aa5066a6d87b3db0d5310013e794bc49c5f8f9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T14:09:50.084539Z digest=sha256:45cca96acafbe89b110697efeff1539f71e16bc5026191b3b1717b816faeef98

Pith citing papers

No inbound Pith citation observations are available.