{"as_of":"2026-08-16T12:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fa581da104ae45829664d9b8664ec5c3a111f2cc1e0009b2bff6cee5c927f033","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T10:07:41.357297Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.11863/citation-record","integrity":"/paper/1908.11863/integrity","json":"/paper/1908.11863/citation-record.json","paper":"/paper/1908.11863"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:08:12.569992Z","title":"Generative adversarial nets","venue":null,"work_id":"3372d2d3-3b8a-4d84-a1d5-dc5338b33776","year":2014},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.254235Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:9874e285925331fc1cec810e37a77634ec7abcfb9befef12b43a424b29dbdd67","observation_id":"621651bf-96f0-45cf-aae4-32e070e07ef4","resolution":{"observed_at":"2026-08-14T10:08:12.573203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.560343Z","title":"Deep learning","venue":null,"work_id":"41d315f2-1a05-4a12-b21a-f2b2a29539b4","year":2016},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.258277Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:fb5bc84c2b0b5eed8e0bcedcd982c68dac2099970080c2fca2df1f5ff142299e","observation_id":"3acec2f3-abcf-4881-ba28-1d2481e07f5e","resolution":{"observed_at":"2026-08-14T10:08:12.563647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.550384Z","title":"Unsupervised representation learning with deep convolutional generative adversarial networks,","venue":null,"work_id":"06db8d74-21dc-4eea-a368-2e2f91663920","year":2016},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.261953Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:5873d523c6b04e79b630ab2b6bb163f2b00f2526816ae3faf4b0f759ce58f748","observation_id":"279c05dd-c9d6-48e5-89c4-a16e8742a63d","resolution":{"observed_at":"2026-08-14T10:08:12.553704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.539142Z","title":"Characterization and computation of local Nash equilibria in continuous games,","venue":null,"work_id":"caec7591-8f87-47a8-8b2e-50ff26f96698","year":2013},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.265775Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:42ceb45aa434a65c4c64475f4136dbfcee6e6d92527c9efb5474724da2a47001","observation_id":"11da5bb7-2e8d-4152-a33f-9662b2849031","resolution":{"observed_at":"2026-08-14T10:08:12.544241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.527672Z","title":"MidiNet: A convolutional generative adversarial network for symbolic -domain music generation,","venue":null,"work_id":"68465d91-7bec-42f6-b274-c37747169953","year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.269222Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:1eb6c3a0b477ce3ddf68cad017da99e9aa2c6a97dfcb02eca1032b92fc148afe","observation_id":"47e4a035-d443-4863-9f4e-98082466fc83","resolution":{"observed_at":"2026-08-14T10:08:12.532600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.516867Z","title":"StackGAN: Text to photo -realistic image synthesis with stacked generative adversarial networks,","venue":null,"work_id":"f79ff61a-0034-43f9-a189-387b4a7dc134","year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.272648Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:af325eb863a6cd34a00f82fc8125b862239c689f8de965d0361c41d260fe6841","observation_id":"35284ed7-8420-47e2-bfc2-2da4aaf7163e","resolution":{"observed_at":"2026-08-14T10:08:12.520589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.506525Z","title":"Learning to Discover Cross-Domain Relations with Generative Adversarial Networks,","venue":null,"work_id":"fb5ec4fa-a841-4cd5-9a4e-71a5f79c58b4","year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.276299Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:0ca063e64f28a6562968d59f6ae07348d079ac6b91a5b0126e9a7b405cfed542","observation_id":"f78f8c03-10d4-4590-b51d-2860f4734953","resolution":{"observed_at":"2026-08-14T10:08:12.510098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.460361Z","title":"TextureGAN: Controlling Deep Image Synthesis With Texture Patches,","venue":null,"work_id":"eeaa7c5c-25bb-4c8b-8be0-9f3bff7161bd","year":2018},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.280199Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:846c6e6783d073eb1fa822b46bc0e87a9bb489c27cb8e38c7378b1bdb4d1320c","observation_id":"826abe7b-e975-4f76-9737-10009e731670","resolution":{"observed_at":"2026-08-14T10:08:12.498855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.338424Z","title":"Generating videos with scene dynamics,","venue":null,"work_id":"d6a681f1-c336-44d8-8dd5-7a2d5d5e81aa","year":2016},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.283433Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:da655c3f8346422ee8cb317d8ab4188526211156511bbf90e6095bfd52b9350d","observation_id":"81943335-bd17-41bf-83e8-f999eaf228d4","resolution":{"observed_at":"2026-08-14T10:08:12.404520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.193518Z","title":"GAN Based Synthetic Brain MR Image Generation,","venue":null,"work_id":"2dd458f3-c5ba-4a0a-a0d1-ad35cd37d82a","year":2018},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.286717Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:f2b7447f11a575d66f581695449240261d6e7a44ee49fd8f132498120ab9bab9","observation_id":"1661a9c5-c66e-4b0e-8eb1-b18a63f207f8","resolution":{"observed_at":"2026-08-14T10:08:12.242263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.182355Z","title":"Deep generative image models using a Laplacian pyramid of adversarial netw orks","venue":null,"work_id":"8ce57ac9-9fb5-481e-b81b-73f5fe09b4eb","year":2015},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.290039Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:f6e131caef7fe581b5fe17cc90b283a3aafdf2f7ed6a8843d5e98f37ece6a995","observation_id":"91edd5e5-c462-40d9-8462-fbd7fb587faf","resolution":{"observed_at":"2026-08-14T10:08:12.186306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.172045Z","title":"Infrared Image Colorization Based on a Triplet DCGAN Architecture","venue":null,"work_id":"82e2f315-0645-4e8f-807e-8aca4a9e7970","year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.293433Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:a21ca99b7e944d63c6bf51860116e21044eec1a96db5587c7b29cb8cd0be082e","observation_id":"a8f7c2e7-d4da-41e5-99d3-98cf7d94e19d","resolution":{"observed_at":"2026-08-14T10:08:12.175633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.161702Z","title":"Generative adversarial models for people attribute recognition in surveillance,","venue":null,"work_id":"fc6d0f73-053e-4a40-ad95-b59681467072","year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.296755Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:1f58602110b866bcf051f33f4fe46c9b9bf5530b91086f214fb48e8d3fb55a63","observation_id":"ab3dc717-7510-461c-b823-7244e5480cd3","resolution":{"observed_at":"2026-08-14T10:08:12.164937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.150808Z","title":"Face Aging Simulation with Deep Convolutional Generative Adversarial Networks,","venue":null,"work_id":"1345928c-c6c0-4ada-894c-72860589f833","year":2018},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.300219Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:e77538a6a78982b0aa8ce4646164326ff8dffba0f57176aaa240b38304336dcf","observation_id":"4f5d679d-8388-4e94-b4b7-f7a9c413f692","resolution":{"observed_at":"2026-08-14T10:08:12.154394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1411.1784","last_updated":"2014-11-06T22:33:22Z","snapshot_observed_at":"2026-08-12T18:51:00.108451Z","submitted_at":"2014-11-06T22:33:22Z","title":"Conditional Generative Adversarial Nets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1411.1784","snapshot_observed_at":"2026-08-14T10:07:41.303635Z","title":"Conditional generative adversarial nets","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.303635Z"},"links":{"cited_paper":"/paper/1411.1784","citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:ca43c5b42b332823af391c516d15865063563937c672d6e4259baad1d79898dc","observation_id":"9cf793f5-d092-4824-98ea-376fdd30a7a3","resolution":{"observed_at":"2026-08-14T10:07:41.303635Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:07:41.307242Z","title":"ArtGAN: Artwork synthesis with conditional categorical GANs,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.307242Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:f40c175c748a6936157d894adb2189426d01d677cb3290de3978a09caede3aa6","observation_id":"068e5362-ffa9-4304-899e-a42a1e21c4c4","resolution":{"observed_at":"2026-08-14T10:07:41.307242Z","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":"2017.82966","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:07:56.562601Z","title":"Face aging with conditional generative adversarial networks,","venue":null,"work_id":"740efc41-0504-44db-945c-24606a1835a5","year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.310657Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:db968c5b20c7a7655d679336708518fa839244cda8131ff6d9e0f99e5bba01da","observation_id":"ea100477-6044-4871-8b48-36ed4356bde7","resolution":{"observed_at":"2026-08-14T10:07:56.568282Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.140268Z","title":"Generative adversarial text-to-image synthesis","venue":null,"work_id":"1f48b68c-b4bf-4449-9623-013d56651f44","year":2016},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.313874Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:2749e08e4a91e773e67a6568ed4f08d3dc5b65f895b6946c6ad1ff0a0c7379b4","observation_id":"4283f68f-d05e-4987-8de1-2c7573636e61","resolution":{"observed_at":"2026-08-14T10:08:12.144626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:12.128520Z","title":"Learning What and Where to Draw,","venue":null,"work_id":"d245df77-5242-44b7-967b-c240d5af5043","year":2016},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.317136Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:bda4ba3fb2b69162d8e53f784dc393d5620704a275af4979bcb35a2f2361ba48","observation_id":"9eece76a-77cd-4746-b965-39c341b3f424","resolution":{"observed_at":"2026-08-14T10:08:12.132746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10916","last_updated":"2018-06-28T00:49:19Z","snapshot_observed_at":"2026-08-14T20:22:05.208461Z","submitted_at":"2017-10-19T18:45:59Z","title":"StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks","version":3},"cited_work":{"arxiv_id":"1710.10916","doi":null,"metadata_source":"pith","pith_arxiv_id":"1710.10916","snapshot_observed_at":"2026-08-14T10:07:41.408347Z","title":"StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks","venue":"cs.CV","work_id":"2577258d-0b6e-424c-b99b-d68a3e6485f1","year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.320564Z"},"links":{"cited_paper":"/paper/1710.10916","citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:ec474302554bac73fb078feaa45989446ea2256130c6ccd673dba45af1fbeab7","observation_id":"808986d7-807b-48f0-8c48-fd6fe3e39c4a","resolution":{"observed_at":"2026-08-14T10:07:41.412124Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:11.954716Z","title":"AttnGAN: Fine -Grained Text to Image Generation With Attentional Generative Adversarial Networks,","venue":null,"work_id":"c33eac18-2907-40c8-8e84-a0327788e78d","year":2018},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.324273Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:4dae85dc3afc9daad30766702506b4cfe97b37c0990ca09c37f1ca46dd8dd162","observation_id":"64ae80a7-c2f1-4ea6-b24e-9b0336f836ec","resolution":{"observed_at":"2026-08-14T10:08:12.036330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:11.894915Z","title":"Image -to-image translation with conditional adversarial networks","venue":null,"work_id":"088e5a23-91fe-47a8-8603-0f89715d8391","year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.327507Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:57bf4bcdd5969e778425659a6b869d9c06adc4358f0053a7b7dc4312977809a3","observation_id":"e80c3e12-fc20-4cf8-adcc-73d7b8ee7d5f","resolution":{"observed_at":"2026-08-14T10:08:11.900382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:11.883665Z","title":"Unsupervised crossdomain image generation,","venue":null,"work_id":"2fda763c-dc20-4ffb-8df2-47549e3253e3","year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.330787Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:90ff6c347bb8eb3fa117f66ff0d833b0ad90985a95d4a49392fb0e599a779154","observation_id":"53921f86-99a1-4992-9b4e-8a485c60ec7a","resolution":{"observed_at":"2026-08-14T10:08:11.888329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:07:41.334369Z","title":"Unpaired Image -to- Image Translation Using Cycle -Consistent Adversarial Networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.334369Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:bd40ecd6e576c9385ac693ad7c1a51d2633978b16199f2bcbcc7a94c763b06a7","observation_id":"bae86daa-9b64-4ba0-8ea0-172c1261e5d1","resolution":{"observed_at":"2026-08-14T10:07:41.334369Z","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":"2026-08-14T10:08:11.870827Z","title":"Learning dense correspondence via 3d -guided cycle consistency,","venue":null,"work_id":"c12cc8e1-fb4e-48a1-9ea9-976ce1fe8aa5","year":2016},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.337629Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:35ad9f6508eb9b67d41127b5ac17c60e021f917d38eb416469b3ff0e2c5a2ed6","observation_id":"105f3c09-1658-407e-914b-1c818193fec6","resolution":{"observed_at":"2026-08-14T10:08:11.875619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:11.763159Z","title":"SegNet: A Deep Convolutional Encoder -Decoder Architecture for Image Segmentation,","venue":null,"work_id":"37ca4f9f-29e4-4e54-9081-e02695ea5a37","year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.340738Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:a9c439d4cf38a4d9c99e31ec2a784b25d630516a152fab4086c3e250050be4c9","observation_id":"b6c1588e-02f1-4d55-a59a-2ac539e974bc","resolution":{"observed_at":"2026-08-14T10:08:11.767402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:11.751782Z","title":"Photo -realistic single image super - resolution using a generative adversarial network,","venue":null,"work_id":"b4461ff9-335e-48fd-8888-79e81e2dc268","year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.343954Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:9d696b9e27c9c36006f55f6a4105fc81ec5faf0e852a558ae3f178acd1e91acd","observation_id":"50783b1d-017a-4a9c-872a-c46a9ed8f815","resolution":{"observed_at":"2026-08-14T10:08:11.755994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:11.739812Z","title":"Scribbler: Controlling deep image synthesis with sketch and color,","venue":null,"work_id":"6c313a3b-949e-4191-8aa0-33582e732674","year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.347319Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:4cd9e3bb08c12aa1c219f4cbd88b602fd7aeeddce878e3c1c89d05b5212aca00","observation_id":"12fe1dc2-874b-40ab-a4d4-593a0645d38a","resolution":{"observed_at":"2026-08-14T10:08:11.744214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.02753","last_updated":"2018-04-12T22:18:29Z","snapshot_observed_at":"2026-08-14T19:56:51.630235Z","submitted_at":"2018-01-09T02:07:26Z","title":"SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis","version":2},"cited_work":{"arxiv_id":"1801.02753","doi":null,"metadata_source":"pith","pith_arxiv_id":"1801.02753","snapshot_observed_at":"2026-08-14T10:07:41.392069Z","title":"SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis","venue":"cs.CV","work_id":"2c330a84-91ec-47c2-bb8a-a99b72822132","year":2018},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.350638Z"},"links":{"cited_paper":"/paper/1801.02753","citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:aa5118fff5cc3d3da5b5ed218a7c25bddec33a377e63dd3873fda5265def41dc","observation_id":"dc189ccd-48ee-4d76-a9f5-1279d610a874","resolution":{"observed_at":"2026-08-14T10:07:41.397449Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:11.730256Z","title":"Semantic image sy nthesis via adversarial learning,","venue":null,"work_id":"5685ca06-41b6-4670-822e-06d5f22dedfc","year":2017},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.354084Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:d6dc6fc47aa9d65f69972c2747b7e47a3f462cd3c989a5c6b8d6fda8d3b8206b","observation_id":"23f852de-6e0e-43a1-befd-501eb01f3e23","resolution":{"observed_at":"2026-08-14T10:08:11.733463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T10:08:11.628103Z","title":"Multimodal neural language models,","venue":null,"work_id":"cc66c69b-fd83-4add-8a00-1340f6247d45","year":2014},"citing_paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T10:07:41.357297Z"},"links":{"citing_paper":"/paper/1908.11863"},"observation_digest":"sha256:bf5783c2d7deed0f04d971006d2260a4c635e170febe35320cf8c247a35aafa6","observation_id":"3ba494f4-0ea3-4e89-b82d-94aeed29f91a","resolution":{"observed_at":"2026-08-14T10:08:11.722679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.11863","last_updated":"2019-08-30T17:48:05Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T20:58:23.962496Z","submitted_at":"2019-08-30T17:48:05Z","title":"Systematic Analysis of Image Generation using GANs"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":3,"verified_exact":2,"verified_fuzzy":25},"total_outbound_references":31},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:1908.11863."}