{"as_of":"2026-08-08T07:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b5c861f2ebedbc8a22918b863c20110558bdf36fb6f87939fff72ccc5092a798","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:58:49.911618Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T18:36:08.236164Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1511.06390","last_updated":"2016-04-30T21:23:46Z","snapshot_observed_at":"2026-07-06T04:37:08.670695Z","submitted_at":"2015-11-19T21:26:58Z","title":"Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06390","snapshot_observed_at":"2026-08-07T14:58:49.911618Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.16725","last_updated":"2025-05-22T14:33:03Z","snapshot_observed_at":"2026-08-07T14:54:15.553828Z","submitted_at":"2025-05-22T14:33:03Z","title":"Masked Conditioning for Deep Generative Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T14:58:49.911618Z"},"links":{"cited_paper":"/paper/1511.06390","citing_paper":"/paper/2505.16725"},"observation_digest":"sha256:ca8e64426868f33c2bb2be8880012ac8c006010a7c2dc052458930d47c077bbd","observation_id":"42b861df-ee9e-47a5-9148-7c5e1476874b","resolution":{"observed_at":"2026-08-07T14:58:49.911618Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06390","last_updated":"2016-04-30T21:23:46Z","snapshot_observed_at":"2026-07-06T04:37:08.670695Z","submitted_at":"2015-11-19T21:26:58Z","title":"Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06390","snapshot_observed_at":"2026-08-06T19:36:18.157373Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.05184","last_updated":"2025-07-07T16:40:35Z","snapshot_observed_at":"2026-08-08T01:18:27.727113Z","submitted_at":"2025-07-07T16:40:35Z","title":"$\\varphi$-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material Discovery","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T19:36:18.157373Z"},"links":{"cited_paper":"/paper/1511.06390","citing_paper":"/paper/2507.05184"},"observation_digest":"sha256:63c1fe8f7ab68d62bd24284cdd95686fabf0e2bf97ed352d3724c58468a61e09","observation_id":"f6438f31-c4b0-40d2-9192-7163c10670dd","resolution":{"observed_at":"2026-08-06T19:36:18.157373Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06390","last_updated":"2016-04-30T21:23:46Z","snapshot_observed_at":"2026-07-06T04:37:08.670695Z","submitted_at":"2015-11-19T21:26:58Z","title":"Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06390","snapshot_observed_at":"2026-08-06T00:55:38.703470Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.04176","last_updated":"2025-08-06T08:02:21Z","snapshot_observed_at":"2026-08-06T00:55:28.102667Z","submitted_at":"2025-08-06T08:02:21Z","title":"Uncertainty-Aware Spatial Color Correlation for Low-Light Image Enhancement","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T00:55:38.703470Z"},"links":{"cited_paper":"/paper/1511.06390","citing_paper":"/paper/2508.04176"},"observation_digest":"sha256:829294c9db28bdf495a20dc637c37148331392cd8a2af3160e0918e8f40f440d","observation_id":"d9b78ed9-b685-45d7-9ea1-651037415cfe","resolution":{"observed_at":"2026-08-06T00:55:38.703470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06390","last_updated":"2016-04-30T21:23:46Z","snapshot_observed_at":"2026-07-06T04:37:08.670695Z","submitted_at":"2015-11-19T21:26:58Z","title":"Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks","version":2},"cited_work":{"arxiv_id":"1511.06390","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1511.06390","snapshot_observed_at":"2026-07-04T20:59:42.539829Z","title":"Unsupervised and semi- supervised learning with categorical generative adversarial networks","venue":null,"work_id":"9b1a4890-816e-4191-82d9-c3195b3c491a","year":2015},"citing_paper":{"arxiv_id":"2605.05590","last_updated":"2026-05-07T02:17:17Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T02:17:17Z","title":"Uncertainty-Guided Edge Learning for Deep Image Regression in Remote Sensing","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-08T15:03:20.201082Z"},"links":{"cited_paper":"/paper/1511.06390","citing_paper":"/paper/2605.05590"},"observation_digest":"sha256:9f42dfd69682bbdfcb1388fd6fe4af95e33195e9596c33822dbf8bb47eec3cd5","observation_id":"52b101ee-625c-45c8-aa92-b80b5415eff4","resolution":{"observed_at":"2026-07-04T20:59:42.539829Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1511.06390/citation-record","integrity":"/paper/1511.06390/integrity","json":"/paper/1511.06390/citation-record.json","paper":"/paper/1511.06390"},"outbound":[],"paper":{"arxiv_id":"1511.06390","last_updated":"2016-04-30T21:23:46Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-06T04:37:08.670695Z","submitted_at":"2015-11-19T21:26:58Z","title":"Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1511.06390."}