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Paper Citation Record · LEDGER

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks

As of 13 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2508.05068.

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

pith.paper-citation-record.v1
2508.05068 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:36:43.079795Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86894e98-89f2-4eee-a076-c720e97f954b · outbound

This paper cites Image Colorization: A Survey and Dataset.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Image Colorization: A Survey and Dataset

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:36:43.354312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-05T23:36:41.731212Z digest=sha256:019ee1c7a87341adfc494a03f558d0d244018b03bab936d078cbe956a1746457

Observation 4dded52e-a212-4753-a5cf-d41e080db01b · outbound

This paper cites Image colorization.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Image colorization

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:36:45.436051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-05T23:36:41.803095Z digest=sha256:d4bc5ed6237847e841c3031072aa1469763a0a64930c6ef176a9462ee9c18ca8

Observation b337da21-566a-408d-9c15-b1a4723f6532 · outbound

This paper cites colorization-traininglayers-tf.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks colorization-traininglayers-tf

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:36:45.177866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-05T23:36:41.889125Z digest=sha256:8082e3d907b19c85bdb32ed1d56c58a7f9b09b0314dd9f9abdc5d61dbf2332cd

Observation fe5704fe-0702-4e71-8ea2-dbf084167f46 · outbound

This paper cites an unresolved cited work.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:36:45.073897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-05T23:36:41.945021Z digest=sha256:60358f98d2ec39bd2c829b9c889ac6e6628702f763b1fe5bf6ce1fe7b12ac923

Observation 6118506d-e691-4986-a54e-844b204498cf · outbound

This paper cites Deep colorization.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Deep colorization

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:36:44.874762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-05T23:36:42.002775Z digest=sha256:c42d97ef11790faf25811e99a5361cc5450fe0927fd3f579529e7e5967eb3e9d

Observation 8e7d0b5c-9767-4388-9489-eea77bd03db7 · outbound

This paper cites Deng , W.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Deng , W

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:36:44.722403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-05T23:36:42.065777Z digest=sha256:8145e3741fde2cc2c643bc90da86d1c2199d2e1c7b2036359a293102d49d4c38

Observation 1cdb53a1-62d0-4b63-a2ef-ecff0c9067ae · outbound

This paper cites Generative Adversarial Networks.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Generative Adversarial Networks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T23:36:42.158033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:36:42.158033Z digest=sha256:3a94cd18e413174a0f39e419c0c701d325ffc466965c9bc53cd42eb96207cbed

Observation 86e0f42b-96e9-4a1f-bdcf-dcaaff3e984f · outbound

This paper cites Deep residual learning for image recognition.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Deep residual learning for image recognition

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T23:36:42.218915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:36:42.218915Z digest=sha256:c981d48d2debc3c68845947915e438d55e08ed09d57cd9974dcde9b2d8334cd5

Observation 563f34fc-4ed5-4c00-a30d-8d9c64b81d60 · outbound

This paper cites Horé and D.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Horé and D

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:36:44.532069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-05T23:36:42.277678Z digest=sha256:32aec97f0bb417b435a211ff0d453ad474029bac0886f0b2a85839891e0fbd5f

Observation e5ce20e8-443c-4a97-a39b-0d7cd1c160b1 · outbound

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

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Image-to-image translation with conditional adversarial networks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:36:44.369862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-05T23:36:42.346667Z digest=sha256:53d5282a321839cbed5fae40e1f8de8934c9d7f8cbaa8e4ca80452ee41cb6a17

Observation e978844f-caff-4b28-acae-186e5901a175 · outbound

This paper cites Kingma and Jimmy Ba.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Kingma and Jimmy Ba

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T23:36:42.390977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:36:42.390977Z digest=sha256:b0bdd9cfbe5cfbd1f9601459fb405479a42e8b86b5c044b7ee386e7d0ec55052

Observation 93dd4976-26de-4584-9774-7eaf466b2e9d · outbound

This paper cites Auto-Encoding Variational Bayes.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Auto-Encoding Variational Bayes

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T23:36:42.426528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:36:42.426528Z digest=sha256:c8eff0c100b8e1bdd94b00f658c301bcb6a9164e25c8430facd5a90a3787a37f

Observation b8fefaab-1a35-49f7-afc1-5f1563c1570f · outbound

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

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Learning multiple layers of features from tiny images

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T23:36:42.494568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:36:42.494568Z digest=sha256:7b7d6e639718221268be70d4349f9c41796e5c20a719d8d085a3274e6549e623

Observation f4cdf3b8-d533-4884-8acd-0b3fafc9f468 · outbound

This paper cites Microsoft coco: Common objects in context.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Microsoft coco: Common objects in context

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:36:44.154395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-05T23:36:42.573072Z digest=sha256:6b5c534ab49f0e8fa3eec6585efcbacecec1fd2ee400e222cf2c4d1c32aea267

Observation f36318cc-6f6d-452d-9a0d-8f223b1efcac · outbound

This paper cites Image colorization using generative adversarial networks.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Image colorization using generative adversarial networks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:36:44.037511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-05T23:36:42.634106Z digest=sha256:024b8bcec93b018a87f4fc87825ace5a2917cad347ef2a1d402664a4dbd96196

Observation d7968906-a41a-4f1a-ba9c-db650ecb5938 · outbound

This paper cites Neural Discrete Representation Learning.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Neural Discrete Representation Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T23:36:42.695525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:36:42.695525Z digest=sha256:19f976794a184cabbb5a5a8c5a1502b5f88b000d9c884b444fe8c3fc6ca16cdb

Observation 31d0f56e-7c25-4e86-8f9b-b1b342b32080 · outbound

This paper cites Unsupervised representation learning with deep convolutional generative adversarial networks, 2016.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Unsupervised representation learning with deep convolutional generative adversarial networks, 2016

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:36:43.894114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-05T23:36:42.751654Z digest=sha256:34e6692651664fda723bab92ab4d344f6db6f710bee995b0db2ed917ce910b59

Observation 52a1f043-72f5-4098-8ba0-06be20a4d84e · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation, 2015.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks U-net: Convolutional networks for biomedical image segmentation, 2015

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T23:36:42.839134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:36:42.839134Z digest=sha256:594346b5acbe6966a7dae9187958e88554d8c831247a552fb498aaf658e6d16b

Observation 2d47b11d-cdc2-4b80-8007-04e2fa2330b9 · outbound

This paper cites Multi-scale context aggregation by dilated convolutions.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Multi-scale context aggregation by dilated convolutions

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:36:43.762829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-05T23:36:42.908748Z digest=sha256:bde04a467b216c4cf7ad564c5c6ca74a56f5c4b1083b8955f791f3f14765e9ab

Observation 5551b998-10bd-49a3-aff6-5d4584eb56df · outbound

This paper cites an unresolved cited work.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:36:43.609916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-05T23:36:42.951900Z digest=sha256:6bd71bd2400a868c98ae0ee6d9f5077c50a58cb2b77f5ffff711411161c236be

Observation f7e337a0-f679-4562-af54-3bfa28d313a1 · outbound

This paper cites Real-time user-guided image colorization with learned deep priors.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Real-time user-guided image colorization with learned deep priors

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:36:43.458058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-05T23:36:43.038938Z digest=sha256:77464c556569a1396e1d44ccd63496f5017386b73a622f4187877062353067a8

Observation 25d37f54-e02c-4c14-93ed-e2e36969b54d · outbound

This paper cites write newline.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks write newline

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T23:36:43.079795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:36:43.079795Z digest=sha256:77e30c4423d6a98d47d2baacaef1c7cfcd894f94f0b89db051a3510c8ce46ddf

Pith citing papers

No inbound Pith citation observations are available.