{"as_of":"2026-08-16T13:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:072d78d598d40158d29d55281bfb1123fbc96ac0a2fbb90096dc72e5101923fc","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T10:32:21.749867Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"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/1908.10999/citation-record","integrity":"/paper/1908.10999/integrity","json":"/paper/1908.10999/citation-record.json","paper":"/paper/1908.10999"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T10:32:21.991694Z","title":"Generative adversarial nets,","venue":null,"work_id":"e2a95528-9a82-4530-a544-239c423c430c","year":2014},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.682076Z"},"links":{"citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:c663fdaff14b2e8e4d1edc43d571270da7bd7a16e426c6e9a145a6213fae1016","observation_id":"987a33d0-996f-40ce-b6ea-b4c295938538","resolution":{"observed_at":"2026-08-14T10:32:21.995488Z","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":"1511.06434","last_updated":"2016-01-07T23:09:39Z","snapshot_observed_at":"2026-08-12T18:43:14.431633Z","submitted_at":"2015-11-19T22:50:32Z","title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06434","snapshot_observed_at":"2026-08-14T10:32:21.686823Z","title":"Unsupervised representation learning with deep convolutional generative adversarial networks,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.686823Z"},"links":{"cited_paper":"/paper/1511.06434","citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:c243f3e005e37c3a2c9e2503137512cefc0bba4d8a3fd2b8e88b9a999aa5d2a9","observation_id":"6e83064b-0df3-421f-bd7f-a6734e509610","resolution":{"observed_at":"2026-08-14T10:32:21.686823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1701.07875","last_updated":"2017-12-06T20:01:54Z","snapshot_observed_at":"2026-08-14T21:19:18.245847Z","submitted_at":"2017-01-26T21:10:29Z","title":"Wasserstein GAN","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.07875","snapshot_observed_at":"2026-08-14T10:32:21.691646Z","title":"Wasserstein gan,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.691646Z"},"links":{"cited_paper":"/paper/1701.07875","citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:b76b52633b361ba86bcb3a6e1d1ae88e935cceab5b60f40a60f2fc65bee06ed1","observation_id":"0ca704b4-2fae-41dd-b025-799c8b144485","resolution":{"observed_at":"2026-08-14T10:32:21.691646Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1712.01026","last_updated":"2018-09-05T12:41:21Z","snapshot_observed_at":"2026-08-14T20:07:16.200367Z","submitted_at":"2017-12-04T11:57:28Z","title":"Wasserstein Divergence for GANs","version":4},"cited_work":{"arxiv_id":"1712.01026","doi":null,"metadata_source":"pith","pith_arxiv_id":"1712.01026","snapshot_observed_at":"2026-08-14T10:32:21.860930Z","title":"Wasserstein Divergence for GANs","venue":"cs.CV","work_id":"4bcb67d0-78a9-4b41-bf1f-ab6779f18232","year":2017},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.696070Z"},"links":{"cited_paper":"/paper/1712.01026","citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:b82cb2e86df148d6d94eb7a4d9a4b67e0d59d31ba94ad581b538bbbca9aba4ae","observation_id":"8ba5ef91-07a7-4120-901d-53df46e83502","resolution":{"observed_at":"2026-08-14T10:32:21.865109Z","resolver_source":"local_arxiv","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":{"arxiv_id":"1703.10717","last_updated":"2017-05-31T19:05:58Z","snapshot_observed_at":"2026-08-14T21:09:03.404431Z","submitted_at":"2017-03-31T00:13:33Z","title":"BEGAN: Boundary Equilibrium Generative Adversarial Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.10717","snapshot_observed_at":"2026-08-14T10:32:21.700374Z","title":"Began: Boundary equilibrium generative adversar-ial networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.700374Z"},"links":{"cited_paper":"/paper/1703.10717","citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:8e57b6cc36960ffc13412801fd7abd703b7e7a10afa5ce0f4b481c191523d61d","observation_id":"02e5969a-f157-4956-b6e1-9a406a8de385","resolution":{"observed_at":"2026-08-14T10:32:21.700374Z","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":"2026-08-14T10:32:21.979464Z","title":"Least squares generative ad-versarial networks,","venue":null,"work_id":"20a7ac27-bab2-42c4-b792-3e83394bc94b","year":2017},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.704803Z"},"links":{"citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:31466e779b95f2065cdc9cde4f93d61d7f86f52ae766fbc3f22a8ed13005cca5","observation_id":"6d9999a7-fd5f-4ff9-a902-dfa9fc52f4ca","resolution":{"observed_at":"2026-08-14T10:32:21.983632Z","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":"2026-08-14T10:32:21.966405Z","title":"Large scale gan training for high ﬁdelity natural image synthesis,","venue":null,"work_id":"d267a864-c0c7-475b-9908-c2c697058591","year":2018},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.709111Z"},"links":{"citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:b3d24de556cba1a0e559f3ead5b52698cd2f7418260b26a2cc9230392111aed0","observation_id":"6717cff6-8aa1-4bad-b109-dbe31710f1e3","resolution":{"observed_at":"2026-08-14T10:32:21.971470Z","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":"2026-08-14T10:32:21.952799Z","title":"Improved training of wasser- stein gans,","venue":null,"work_id":"3229d071-e3b3-49d5-aec3-4570e287c9ed","year":2017},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.713306Z"},"links":{"citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:138c4bd050f3ee0c528be773f9b6239f98876d97c29d90775a1254a9c377abe1","observation_id":"990a6336-037f-4132-9ad8-2f35b24ddfd3","resolution":{"observed_at":"2026-08-14T10:32:21.956661Z","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":"1701.06264","last_updated":"2018-03-19T03:54:50Z","snapshot_observed_at":"2026-08-16T06:41:16.861987Z","submitted_at":"2017-01-23T04:46:22Z","title":"Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities","version":6},"cited_work":{"arxiv_id":"1701.06264","doi":null,"metadata_source":"pith","pith_arxiv_id":"1701.06264","snapshot_observed_at":"2026-08-14T10:32:21.832175Z","title":"Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities","venue":"cs.CV","work_id":"824e6973-ab10-4163-b209-f9ddf7ec9b82","year":2017},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.717344Z"},"links":{"cited_paper":"/paper/1701.06264","citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:34abddea54ed72ef56e37ce600965ff0397250ef4ee2df3091a8ad32dc0352eb","observation_id":"8f9b7e45-ba99-4fec-ba0e-41081e236ce4","resolution":{"observed_at":"2026-08-14T10:32:21.836424Z","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":{"arxiv_id":"1802.05957","last_updated":"2018-02-16T14:41:39Z","snapshot_observed_at":"2026-08-15T15:47:46.409113Z","submitted_at":"2018-02-16T14:41:39Z","title":"Spectral Normalization for Generative Adversarial Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.05957","snapshot_observed_at":"2026-08-14T10:32:21.721338Z","title":"Spectral normalization for generative adversarial networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.721338Z"},"links":{"cited_paper":"/paper/1802.05957","citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:21bace4b8600cbbc3cc03b3b8b8df85e0b17daa1a078e124c42994043f686f09","observation_id":"28638c4a-31cb-4530-90eb-955f89475b4c","resolution":{"observed_at":"2026-08-14T10:32:21.721338Z","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":"2026-08-14T10:32:21.941334Z","title":"Weight normalization: A simple reparam- eterization to accelerate training of deep neural networks,","venue":null,"work_id":"9062080a-5570-4dc1-84c0-49a06dbea756","year":2016},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.725095Z"},"links":{"citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:a021d665c1f7d6118929079644fbb7a25ed55f0b4163228e66bdae400088a031","observation_id":"a887067d-2bc0-4534-96c0-ee84eed58274","resolution":{"observed_at":"2026-08-14T10:32:21.945128Z","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":"2026-08-14T10:32:21.930517Z","title":"Lectures on lipschitz analysis,","venue":null,"work_id":"7b613245-0530-4032-8360-079f71bcd555","year":2005},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.728730Z"},"links":{"citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:812d51b5d7706ec845b4b08a31020e273493a482bd8874592a5ac972081e96fc","observation_id":"5f84b6c8-e16f-414d-a1ab-0db5b3a1ad61","resolution":{"observed_at":"2026-08-14T10:32:21.934222Z","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":"1609.07093","last_updated":"2017-02-06T18:46:50Z","snapshot_observed_at":"2026-08-14T21:38:36.194993Z","submitted_at":"2016-09-22T18:07:56Z","title":"Neural Photo Editing with Introspective Adversarial Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.07093","snapshot_observed_at":"2026-08-14T10:32:21.731940Z","title":"Neural photo editing with introspective adversarial networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.731940Z"},"links":{"cited_paper":"/paper/1609.07093","citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:86b7142c62b865d04dd69d45210af05ec33568ddc89f30ed9356276d587eeeef","observation_id":"4eaf787d-0d89-4150-9500-dd59d02cf7f1","resolution":{"observed_at":"2026-08-14T10:32:21.731940Z","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":"2026-08-14T10:32:21.920213Z","title":"80 million tiny images: A large data set for non-parametric object and scene recognition,","venue":null,"work_id":"4b391b32-d36a-44bd-ab31-a7d0b9f83e35","year":2008},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.735395Z"},"links":{"citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:5f7a482a4c65909dc3c9ea48880209570a5cef1025b0c83d8061c74eaf51282b","observation_id":"2525c5f2-0ea5-4aa0-b97d-b0015588d337","resolution":{"observed_at":"2026-08-14T10:32:21.923672Z","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":"1706.08500","last_updated":"2018-01-12T14:05:44Z","snapshot_observed_at":"2026-08-14T20:51:33.836666Z","submitted_at":"2017-06-26T17:45:23Z","title":"GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.08500","snapshot_observed_at":"2026-08-14T10:32:21.738464Z","title":"Gans trained by a two time-scale update rule converge to a nash equilibrium,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.738464Z"},"links":{"cited_paper":"/paper/1706.08500","citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:d016f0af8da283a2f94c781b0479bc0d13bf4b8de0952d1b14f82107e5e266d8","observation_id":"aee3c0be-788b-43d5-8754-468b99b9ca0e","resolution":{"observed_at":"2026-08-14T10:32:21.738464Z","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":"2026-08-14T10:32:21.909705Z","title":"Imagenet: A large-scale hierarchical image database,","venue":null,"work_id":"0cdda9ff-a968-4d17-89b6-3cc8d6eda5ca","year":2009},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.742242Z"},"links":{"citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:3036770b64a22e3e3ab7af4beb77abd97573fca2a7dd570508a7adb8fb522c0f","observation_id":"c20c94c4-60fe-4f7c-9936-a5a3d2057e05","resolution":{"observed_at":"2026-08-14T10:32:21.913365Z","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":"1808.05637","last_updated":"2018-08-16T18:26:50Z","snapshot_observed_at":"2026-08-14T18:40:15.136582Z","submitted_at":"2018-08-16T18:26:50Z","title":"Jamming and percolation properties of random sequential adsorption with relaxation","version":1},"cited_work":{"arxiv_id":"1808.05637","doi":null,"metadata_source":"pith","pith_arxiv_id":"1808.05637","snapshot_observed_at":"2026-08-14T10:32:21.781161Z","title":"Jamming and percolation properties of random sequential adsorption with relaxation","venue":"cond-mat.stat-mech","work_id":"ad62457b-5a8d-4f02-8622-25b7f8facd70","year":2018},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.745960Z"},"links":{"cited_paper":"/paper/1808.05637","citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:2b521bf723b7ab0a6a64830a4ef0532ff6a9fe6b557d02c7ba53d13363010057","observation_id":"dc2eddad-7549-49fc-a300-e87355d320bc","resolution":{"observed_at":"2026-08-14T10:32:21.787683Z","resolver_source":"local_arxiv","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":"2026-08-14T10:32:21.897580Z","title":"Improved techniques for training gans,","venue":null,"work_id":"97e16601-fb53-418b-ab6c-0623d05b5d47","year":2016},"citing_paper":{"arxiv_id":"1908.10999","last_updated":"2019-10-12T07:43:51Z","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:21.749867Z"},"links":{"citing_paper":"/paper/1908.10999"},"observation_digest":"sha256:cfc9ad3a035b2d440149758e9bd529d63df449e070d0a3effa2aed9227657436","observation_id":"c445950e-a27a-49c1-b5fd-4356b75fd36d","resolution":{"observed_at":"2026-08-14T10:32:21.901941Z","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":"1908.10999","last_updated":"2019-10-12T07:43:51Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T11:14:24.337972Z","submitted_at":"2019-08-29T00:56:47Z","title":"Spectral Regularization for Combating Mode Collapse in GANs"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":6,"verified_exact":1,"verified_fuzzy":9},"total_outbound_references":18},"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 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:1908.10999."}