{"as_of":"2026-08-05T08:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0e0233897d7991588869f8b62f99d094bf50a08a95a305df6db00b75750a1b75","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T22:36:45.139931Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-06-28T22:42:46.979293Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1711.03213","last_updated":"2017-12-29T05:00:37Z","snapshot_observed_at":"2026-07-06T06:08:32.009246Z","submitted_at":"2017-11-08T23:54:52Z","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","version":3},"cited_work":{"arxiv_id":"1711.03213","doi":null,"metadata_source":"pith","pith_arxiv_id":"1711.03213","snapshot_observed_at":"2026-06-28T22:42:46.979293Z","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","venue":"cs.CV","work_id":"1372a21e-240c-474b-9f12-5016db339dff","year":2017},"citing_paper":{"arxiv_id":"1906.10267","last_updated":"2019-06-24T23:42:55Z","snapshot_observed_at":"2026-08-01T22:54:34.167932Z","submitted_at":"2019-06-24T23:42:55Z","title":"Efficient Multi-Domain Network Learning by Covariance Normalization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-25T17:08:59.768804Z"},"links":{"cited_paper":"/paper/1711.03213","citing_paper":"/paper/1906.10267"},"observation_digest":"sha256:aeda5c57db04437f8012bd430f6f8bff2e0572a473cfa242a056126337cdf0a6","observation_id":"6f162ec9-4d84-43cb-a120-df7cd3b14c8f","resolution":{"observed_at":"2026-05-25T17:11:04.416392Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.03213","last_updated":"2017-12-29T05:00:37Z","snapshot_observed_at":"2026-07-06T06:08:32.009246Z","submitted_at":"2017-11-08T23:54:52Z","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","version":3},"cited_work":{"arxiv_id":"1711.03213","doi":null,"metadata_source":"pith","pith_arxiv_id":"1711.03213","snapshot_observed_at":"2026-06-28T22:42:46.979293Z","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","venue":"cs.CV","work_id":"1372a21e-240c-474b-9f12-5016db339dff","year":2017},"citing_paper":{"arxiv_id":"1907.03426","last_updated":"2019-07-08T07:11:54Z","snapshot_observed_at":"2026-07-06T08:05:45.616325Z","submitted_at":"2019-07-08T07:11:54Z","title":"Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-25T01:20:26.260111Z"},"links":{"cited_paper":"/paper/1711.03213","citing_paper":"/paper/1907.03426"},"observation_digest":"sha256:08bc7899803e92c6ab5c18211809f7219d10ea08aca26b62925915aa74782ddc","observation_id":"aad832f8-83c6-4c81-a322-c2e6937bdce6","resolution":{"observed_at":"2026-05-25T01:25:10.928556Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.03213","last_updated":"2017-12-29T05:00:37Z","snapshot_observed_at":"2026-07-06T06:08:32.009246Z","submitted_at":"2017-11-08T23:54:52Z","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","version":3},"cited_work":{"arxiv_id":"1711.03213","doi":null,"metadata_source":"pith","pith_arxiv_id":"1711.03213","snapshot_observed_at":"2026-06-28T22:42:46.979293Z","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","venue":"cs.CV","work_id":"1372a21e-240c-474b-9f12-5016db339dff","year":2017},"citing_paper":{"arxiv_id":"1907.07061","last_updated":"2019-07-16T15:21:38Z","snapshot_observed_at":"2026-07-06T08:08:05.915923Z","submitted_at":"2019-07-16T15:21:38Z","title":"How much real data do we actually need: Analyzing object detection performance using synthetic and real data","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-24T20:48:51.430219Z"},"links":{"cited_paper":"/paper/1711.03213","citing_paper":"/paper/1907.07061"},"observation_digest":"sha256:de65f9e6cfb3be2e07ad25e8c4d50046c6ca005d0c93e7ab145995b6814dc4b0","observation_id":"6cffc965-d240-4a06-99e7-799dfed7cd3a","resolution":{"observed_at":"2026-05-24T20:49:54.461919Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.03213","last_updated":"2017-12-29T05:00:37Z","snapshot_observed_at":"2026-07-06T06:08:32.009246Z","submitted_at":"2017-11-08T23:54:52Z","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","version":3},"cited_work":{"arxiv_id":"1711.03213","doi":null,"metadata_source":"pith","pith_arxiv_id":"1711.03213","snapshot_observed_at":"2026-06-28T22:42:46.979293Z","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","venue":"cs.CV","work_id":"1372a21e-240c-474b-9f12-5016db339dff","year":2017},"citing_paper":{"arxiv_id":"1907.11943","last_updated":"2019-07-27T16:14:08Z","snapshot_observed_at":"2026-08-03T12:49:21.078054Z","submitted_at":"2019-07-27T16:14:08Z","title":"Learnable Parameter Similarity","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-24T14:51:05.155524Z"},"links":{"cited_paper":"/paper/1711.03213","citing_paper":"/paper/1907.11943"},"observation_digest":"sha256:05ec2e4a4c9b94a53a588e7a08344c1d31c0317b494c259ef9d30fb69b8c9c2a","observation_id":"18178618-d4be-4392-a35f-eb61c42a190c","resolution":{"observed_at":"2026-05-24T14:54:36.450092Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.03213","last_updated":"2017-12-29T05:00:37Z","snapshot_observed_at":"2026-07-06T06:08:32.009246Z","submitted_at":"2017-11-08T23:54:52Z","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","version":3},"cited_work":{"arxiv_id":"1711.03213","doi":null,"metadata_source":"pith","pith_arxiv_id":"1711.03213","snapshot_observed_at":"2026-06-28T22:42:46.979293Z","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","venue":"cs.CV","work_id":"1372a21e-240c-474b-9f12-5016db339dff","year":2017},"citing_paper":{"arxiv_id":"2605.31100","last_updated":"2026-05-29T10:12:52Z","snapshot_observed_at":"2026-07-06T23:40:17.605034Z","submitted_at":"2026-05-29T10:12:52Z","title":"Vector Linking via Cross-Model Local Isometric Consistency","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-28T22:36:45.139931Z"},"links":{"cited_paper":"/paper/1711.03213","citing_paper":"/paper/2605.31100"},"observation_digest":"sha256:c11d27aeb457332452022c8801c6f6212f718ff0765e8dd66cd9040a7e2196b7","observation_id":"8d2ceda4-f4be-4743-a366-8ef565532df1","resolution":{"observed_at":"2026-06-28T22:42:46.980361Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1711.03213/citation-record","integrity":"/paper/1711.03213/integrity","json":"/paper/1711.03213/citation-record.json","paper":"/paper/1711.03213"},"outbound":[],"paper":{"arxiv_id":"1711.03213","last_updated":"2017-12-29T05:00:37Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T06:08:32.009246Z","submitted_at":"2017-11-08T23:54:52Z","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1711.03213."}