{"as_of":"2026-08-18T19:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:491681c65275a21228b5f6f957c72743cd83de640427824c898d75ddeb7490d7","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:09:50.084539Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.04694/citation-record","integrity":"/paper/1908.04694/integrity","json":"/paper/1908.04694/citation-record.json","paper":"/paper/1908.04694"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.621777Z","title":"Image style transfer using convolutional neural networks","venue":null,"work_id":"d8d0c9d4-ed50-4f89-b53e-a9f98ab9d217","year":2016},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:49.952574Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:c946b25e891689546bb1a50f8147d3ff8236b4d7f5fbb0ce197c38880f7ebbb5","observation_id":"c1ff8edb-8766-4732-a6af-a33dbb1c2a6c","resolution":{"observed_at":"2026-08-14T14:09:50.626863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.609929Z","title":"Perceptual losses for real-time style transfer and super- resolution","venue":null,"work_id":"cb607d06-ec95-4689-a4c9-408f4d2b6738","year":2016},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:49.957967Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:480ef06511295fa84959927d9f91f228e595dffef72467245a121c0f079d3d92","observation_id":"4929e462-0a59-4b7d-a99b-32f3f36a7d9f","resolution":{"observed_at":"2026-08-14T14:09:50.613894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.598023Z","title":"Texture networks: Feed- forward synthesis of textures and stylized images","venue":null,"work_id":"a9b309e2-16fc-4bec-af50-3002256b9854","year":2016},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:49.962410Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:1761d0df38ad21a0d65c7504e92a8a36813f33b15c6a463183135522a5c5ded7","observation_id":"583447aa-9e18-4a99-8481-8e6f8e5b0e5b","resolution":{"observed_at":"2026-08-14T14:09:50.601779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.583238Z","title":"Universal style transfer via feature transforms","venue":null,"work_id":"2d284a94-cfca-46a2-be30-9f9dd9220bc9","year":2017},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:49.966572Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:b1c25113ceb938f85bbd5c74e0be5fa89ed793e48e03a7a2490e9da36a87f917","observation_id":"5cc68d35-d8a3-4143-94e9-3bb9ed634669","resolution":{"observed_at":"2026-08-14T14:09:50.587772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.568957Z","title":"Stroke controllable fast style transfer with adaptive receptive fields","venue":null,"work_id":"ec704b50-2df0-4a4e-ae3e-f0d1146ab8b8","year":2018},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:49.970930Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:21f1bbbf51fffb11f14db49c9333a38787d5d142d5acf924c5a8df52066d15f0","observation_id":"8792f8bb-7ce3-4032-9380-9cc398c3e19d","resolution":{"observed_at":"2026-08-14T14:09:50.573707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.555322Z","title":"Synthesizing programs for images using reinforced adversarial learning","venue":null,"work_id":"0c9e07d7-e4b3-4eec-8c45-b8f1b69936bf","year":2019},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:49.974916Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:af7536bdeca79daff12ca4fd6e3dc8cc5c3a72adb8a0b55468d2b02e71a1ed4e","observation_id":"9b580019-b86c-43e7-a161-c1d9c9161c03","resolution":{"observed_at":"2026-08-14T14:09:50.559926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.542108Z","title":"Strokenet: A neural painting environment","venue":null,"work_id":"7923f9c7-3f87-47cf-a205-cbf0ca6c99cf","year":2019},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:49.979131Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:359dc7a5e806ae666b84c75f00c45be23fe4a833df076500a7a960b337bb76ce","observation_id":"d6850dc8-17f6-4033-b138-e101525afe0c","resolution":{"observed_at":"2026-08-14T14:09:50.546669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.04411","last_updated":"2019-08-16T08:02:02Z","snapshot_observed_at":"2026-08-16T07:07:44.481258Z","submitted_at":"2019-03-11T16:21:46Z","title":"Learning to Paint With Model-based Deep Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.04411","snapshot_observed_at":"2026-08-14T14:09:49.982538Z","title":"Learning to paint with model-based deep reinforcement learning","venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:49.982538Z"},"links":{"cited_paper":"/paper/1903.04411","citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:76abf614eacc1a764e54329491463399605b171069eb83be1ba4af197da48851","observation_id":"d1336c11-f4d7-4a65-a65c-cb0a7c96177a","resolution":{"observed_at":"2026-08-14T14:09:49.982538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.530153Z","title":"Mask r-cnn","venue":null,"work_id":"dd3dde5a-ac2c-4596-b2ef-88ee240c18ae","year":2017},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:49.986158Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:3dac0fd82b2c35307c661fc15f2ce3fbc705a3fc54689585b18162640637514b","observation_id":"c7c41979-183d-4206-801c-71c65e5eb118","resolution":{"observed_at":"2026-08-14T14:09:50.533954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.518406Z","title":"Multi-style generative network for real-time transfer","venue":null,"work_id":"4ffd5152-2650-4732-b018-0fdb12dcbfa2","year":2018},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:49.989505Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:1692a639e9a6248de0a62d8cbe8c8e16e0c25540c50f7b095bf5b0f8cd0945ba","observation_id":"9c3f8675-ced3-4c10-86b1-ad2c4b7fef40","resolution":{"observed_at":"2026-08-14T14:09:50.522393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:49.993600Z","title":"Learning internal representations by error propagation","venue":null,"work_id":null,"year":1985},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:49.993600Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:8bd013038d861ac00842ce89539bb8646190efb6cc50494d50d95be617a752ef","observation_id":"ccbf4d3c-5fad-478a-af86-c674a76c16a0","resolution":{"observed_at":"2026-08-14T14:09:49.993600Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.498130Z","title":"Modular learning in neural networks","venue":null,"work_id":"1e5ff043-c4f8-41d9-868e-026882f1410a","year":1987},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:49.997534Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:11effa1a7f4dea6b9184a08b015a711ab1d902eab47f5893180cfd19e2894263","observation_id":"7cc1b5f3-ed35-4b2c-a02d-00bce296ecbd","resolution":{"observed_at":"2026-08-14T14:09:50.501563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.001952Z","title":"Auto-encoding variational bayes","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.001952Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:fc5f536f39faed99d22a5ebf38722001e07e9f05094567a2612dec5cf6749735","observation_id":"b9ee5ebf-e49b-4787-9569-2a236c19aa90","resolution":{"observed_at":"2026-08-14T14:09:50.001952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.476746Z","title":"Generative adversarial nets","venue":null,"work_id":"aa26e9b0-9df8-4805-b84f-e20a73584379","year":2014},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.005524Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:5cc9f49ed48dd3dab5a5c53a3f16b3f289dd5e4d678fbe8b14404c5206995e4d","observation_id":"5512ef23-5f21-44f9-9fbc-5b880be9d636","resolution":{"observed_at":"2026-08-14T14:09:50.481069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.463686Z","title":"Unsupervised representation learning with deep convolutional generative adversarial networks","venue":null,"work_id":"e3d5052c-8e95-45f9-a6e6-879a4705ede9","year":2016},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.010001Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:2651e619acfa693c656ac613de9e9e1a3507122f87db9cd65990dbbdf6a65be8","observation_id":"8c2e196f-c194-489e-b0b4-c992cc331775","resolution":{"observed_at":"2026-08-14T14:09:50.468227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.449910Z","title":"Image-to-image translation with conditional adversarial networks","venue":null,"work_id":"e4c76762-b8cb-4b86-8ef1-8d89088e28f3","year":2017},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.014687Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:72531f3e126dfe039897d9c8c062aed3ce1b7155ff0b66edb95ac3a863fff166","observation_id":"10ce319f-536c-4776-8587-97b2dd1bc17c","resolution":{"observed_at":"2026-08-14T14:09:50.454669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.433518Z","title":"Unpaired image-to-image translation using cycle-consistent adversarial networks","venue":null,"work_id":"be2fd93f-8a9e-4c0e-9c0f-49aebd46f4ec","year":2017},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.018623Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:bfa03948e3b613eb503f66292ae0491f9feb790ac2eaef5f3077ab9235ba50ae","observation_id":"3c323f34-9a7d-4e7c-853a-eab245d0300f","resolution":{"observed_at":"2026-08-14T14:09:50.441083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.420315Z","title":"Image-to-image translation via group-wise deep whitening-and-coloring transformation","venue":null,"work_id":"58a76ad9-87cf-4b78-9897-a5adaca6f87e","year":2019},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.022415Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:38cb373273523846b77e109f748272129e5d466ef854f278532b7838fe181238","observation_id":"97ee2c87-7de4-482d-8016-5228930295a2","resolution":{"observed_at":"2026-08-14T14:09:50.424067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.405394Z","title":"Learning what and where to draw","venue":null,"work_id":"49476cae-545b-43c7-9b6e-b41ebc4eb757","year":2016},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.025984Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:8c6d59807177417d2a3894b4ea84477a07efc74399175b84fd85d2cb86df7a61","observation_id":"6c40e1c1-58f5-418a-9cde-d880298d452f","resolution":{"observed_at":"2026-08-14T14:09:50.411159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.388131Z","title":"Pose guided person image generation","venue":null,"work_id":"2feb9a00-1d63-4437-8d67-af5e8419d2fd","year":2017},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.030740Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:df2deab9580516177442b6de3bf1a171add71f63a801e113b65fa36feffaa43e","observation_id":"11983eff-8441-415d-bbd8-f81ce85b6ba7","resolution":{"observed_at":"2026-08-14T14:09:50.392379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.372606Z","title":"A style-based generator architecture for generative adversarial networks","venue":null,"work_id":"2fc35b60-1151-4342-90e7-3e9fef9ee940","year":2019},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.035475Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:4ce4c5800b2e818b1bbfcdd4a43e74f340f3c42282b6a4ba16cdbd5a1ee79435","observation_id":"d6dc6d37-93a6-4949-9e5b-b8936320b3ff","resolution":{"observed_at":"2026-08-14T14:09:50.377471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.353224Z","title":"Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks","venue":null,"work_id":"479f714b-1a07-4fad-9b12-fc3b8dd0ad5c","year":2017},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.040810Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:f805e36cc54ed5e5ae470c0a1117fb1b31e9602b04c8c3577088ffcc5cadd35e","observation_id":"426c47a4-5b55-43cc-a968-d773c11cb15d","resolution":{"observed_at":"2026-08-14T14:09:50.358916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.338822Z","title":"Large scale GAN training for high fidelity natural image synthesis","venue":null,"work_id":"e1c080b4-0055-4e0f-89f4-5975d2c612c2","year":2019},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.044751Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:a7eed262276da6cbfa2f18a9b091622cb635ce1278dedef74307d9c453d459c1","observation_id":"eba28852-313c-48e2-aa0e-ff7a70aab93e","resolution":{"observed_at":"2026-08-14T14:09:50.343171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.323069Z","title":"Towards the auto- matic anime characters creation with generative adversarial networks","venue":null,"work_id":"0938fa6c-5b4f-48fd-bcae-0709a89b5470","year":2017},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.048664Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:279c244e52d5c82dda874e121d67275d2e25fe739ae93932a2893d56ec1adc46","observation_id":"38094fad-aec9-4b24-88ac-9253d68a1230","resolution":{"observed_at":"2026-08-14T14:09:50.328436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.290981Z","title":"Cartoongan: Generative adversarial networks for photo cartoonization","venue":null,"work_id":"6edf7487-a0fe-404c-9b28-02644a1b5e36","year":2018},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.052595Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:fd2c06805a143a547919472988fc2435bfea99f640d96ad27d3fbe925fdd8341","observation_id":"a5081395-10bb-4936-9737-6d85360f2296","resolution":{"observed_at":"2026-08-14T14:09:50.297773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.276979Z","title":"High- resolution image synthesis and semantic manipulation with conditional gans","venue":null,"work_id":"926dfe9e-06f0-4bf7-bfc2-fbcd5cb16ac5","year":2018},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.056873Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:be340543e6c6c1e18c82c7f0a1478bc177f66d5160ff3f22f27963c5ec1b1510","observation_id":"1e357c86-9808-496e-97dd-ed1c45d4d61b","resolution":{"observed_at":"2026-08-14T14:09:50.281758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.251102Z","title":"Very deep convolutional networks for large-scale image recogni- tion","venue":null,"work_id":"8178d141-e0bb-4d8b-a5e8-b215fca582e2","year":2015},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.060777Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:1e104185231fdbf35e1418bd5016d5503c7d176dcab967db2ff1a502df5e4021","observation_id":"c4e4d924-56cc-4932-b0bf-e5245e52ed90","resolution":{"observed_at":"2026-08-14T14:09:50.257496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.223444Z","title":"A learned representation for artistic style","venue":null,"work_id":"0ec7e775-3cb0-41f4-a40f-1f0b1e53aa55","year":2017},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.064596Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:abee451fcaa1e87e3ed1d4739cf6fd043f7cf82a7134c14c21500c2ccb55275d","observation_id":"1bebc1b1-2c1e-4d3b-ae09-b655fef96f46","resolution":{"observed_at":"2026-08-14T14:09:50.231615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.199960Z","title":"Recurrent world models facilitate policy evolution","venue":null,"work_id":"5a5d550d-86a8-4f9c-911c-4e97bf19a3d2","year":2018},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.068651Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:3c06c47b0d0cea39993430d7d768ee6c07f2889ea85ae9e08581f9e3f58ac604","observation_id":"4b3a60fc-c48f-40a5-b3d7-bf2cf691372b","resolution":{"observed_at":"2026-08-14T14:09:50.207454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.180325Z","title":"Learning latent dynamics for planning from pixels","venue":null,"work_id":"b7db26f6-8f35-46de-819f-548a1e5ab07b","year":2019},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.072525Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:b6f210db4705ebefd333bc4c5c244cc5b5b319d0eaee362ebe0be593d0a8daac","observation_id":"d53aac72-dd43-4e18-a52c-2d913123924f","resolution":{"observed_at":"2026-08-14T14:09:50.187746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.08410","last_updated":"2019-04-22T17:14:53Z","snapshot_observed_at":"2026-08-14T16:45:17.082987Z","submitted_at":"2019-04-17T03:03:49Z","title":"Neural Painters: A learned differentiable constraint for generating brushstroke paintings","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.08410","snapshot_observed_at":"2026-08-14T14:09:50.076266Z","title":"Neural painters: A learned differentiable constraint for generating brushstroke paintings","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.076266Z"},"links":{"cited_paper":"/paper/1904.08410","citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:2636fd0d4d353e782d7ac7cea61727d8815d9889788055807f35fa1207a2840a","observation_id":"62c43204-8d6a-4f57-8675-efcf224a49f2","resolution":{"observed_at":"2026-08-14T14:09:50.076266Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.162340Z","title":"Learning methods for generic object recognition with invariance to pose and lighting","venue":null,"work_id":"560744a7-25b9-4652-bd09-f297d80037ae","year":2004},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.080020Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:29e5307242bc3b4386ee406d84aa5066a6d87b3db0d5310013e794bc49c5f8f9","observation_id":"0bc6bfde-bae2-4fa2-af35-06e83a3098f3","resolution":{"observed_at":"2026-08-14T14:09:50.171038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:09:50.142938Z","title":"Imagenet classification with deep convolutional neural networks","venue":null,"work_id":"005c90d7-be4c-4ffe-9e05-21893fd2ced5","year":2012},"citing_paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions","version":4},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T14:09:50.084539Z"},"links":{"citing_paper":"/paper/1908.04694"},"observation_digest":"sha256:45cca96acafbe89b110697efeff1539f71e16bc5026191b3b1717b816faeef98","observation_id":"5234364f-5627-4176-8063-a2a790dba929","resolution":{"observed_at":"2026-08-14T14:09:50.149475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.04694","last_updated":"2019-11-12T06:24:11Z","latest_version":4,"primary_category":"cs.GR","snapshot_observed_at":"2026-08-18T12:27:26.584074Z","submitted_at":"2019-08-10T06:58:55Z","title":"Channel Decomposition into Painting Actions"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":33},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"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."}