{"as_of":"2026-08-21T03:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ed7505d12da5e4ed01819b4e6b37ae7cc7e4008ad290c56a19d2ba3ce472fd13","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T13:39:11.338949Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/1908.04388/citation-record","integrity":"/paper/1908.04388/integrity","json":"/paper/1908.04388/citation-record.json","paper":"/paper/1908.04388"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:39:12.481275Z","title":"Weinberger","venue":null,"work_id":"c514f22d-29ab-4a67-bbf8-1b814094f4a2","year":2017},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.053223Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:2c474bc1b29213f3a21294b7b2c1520c612f948ded85646db2a66091ac304a50","observation_id":"a6adf940-adde-4b8b-93b5-7cb21de0c54f","resolution":{"observed_at":"2026-08-14T13:39:12.488204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:11.060512Z","title":"Wichmann, and Wieland Brendel","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.060512Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:a2d3be5f6618bfbef3c6dd41b393c452eee30e4557f21e3ed7d1781e370a2cde","observation_id":"7375f447-669a-4f07-a09a-14e56f1a6556","resolution":{"observed_at":"2026-08-14T13:39:11.060512Z","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":"2026-08-14T13:39:12.442194Z","title":"Strike (with) a pose: Neural networks are easily fooled by strange poses of familiar objects","venue":null,"work_id":"332ab481-776f-4324-9b55-0b97d4b4b884","year":2019},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.067181Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:fce6a40b9da5db36d0a42478806ee29b6c9225385e9d77e24f9de0b6dd3e1a51","observation_id":"4d68ffe7-0c9a-4e9d-9ab1-85654ec1cd05","resolution":{"observed_at":"2026-08-14T13:39:12.448638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.423351Z","title":"Recognition in terra incognita","venue":null,"work_id":"73fbc5e9-aeec-41dd-9b33-2375c6ba0e70","year":2018},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.073816Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:1f57969ddb1bda141a4796bb8d10ee25b420fd7066558b9cd604660e3b5041b4","observation_id":"a8043527-51cb-40f4-b60f-c0f4a8a3144c","resolution":{"observed_at":"2026-08-14T13:39:12.429268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.06565","last_updated":"2016-07-25T17:23:29Z","snapshot_observed_at":"2026-07-06T05:00:46.434335Z","submitted_at":"2016-06-21T13:37:05Z","title":"Concrete Problems in AI Safety","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.06565","snapshot_observed_at":"2026-08-14T13:39:11.081312Z","title":"Christiano, John Schulman, and Dan Mané","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.081312Z"},"links":{"cited_paper":"/paper/1606.06565","citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:8964c9ffd43298c24b661dc8fb78ed5dff9dce7eee29fe18ac50baaea45e5f1d","observation_id":"f8711d75-8557-4a5d-bb8b-3b4a49397420","resolution":{"observed_at":"2026-08-14T13:39:11.081312Z","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":"2026-08-14T13:39:12.401439Z","title":"A baseline for detecting misclassified and out-of- distribution examples in neural networks","venue":null,"work_id":"30ad07d8-e74d-4135-b114-980710c06e7a","year":2017},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.087963Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:12a7c7c4e0505ade877511ab434bf0139a40c003b38b1f78ad414d5612e60836","observation_id":"94ab2945-51a8-4bd6-b44a-3122fa47d46c","resolution":{"observed_at":"2026-08-14T13:39:12.407859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.382291Z","title":null,"venue":null,"work_id":"deb19fa9-8d79-4c46-a1e5-d33c83730454","year":2018},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.095833Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:66869bc79bf56c14e5df7da092ae3f85215d901f6ae9af2600bd884e5f420ce2","observation_id":"4f9200cf-1436-4bdd-8ebc-c22fabea0dbb","resolution":{"observed_at":"2026-08-14T13:39:12.387870Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.362308Z","title":"Torralba and A","venue":null,"work_id":"78fa2de5-56f1-4fbc-bd00-79aa7ebcb436","year":2011},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.101404Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:f125e24698bba5b0ee1d75a828771e4b0c81b8e04273859f7c043abb0ae08f9c","observation_id":"20e6dcdc-a983-43e6-8543-ddd166ea2c7d","resolution":{"observed_at":"2026-08-14T13:39:12.367550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.345459Z","title":"A Deeper Look at Dataset Bias, pages 37–55","venue":null,"work_id":"14fce698-3a56-4fb6-a53d-63c69015b113","year":2017},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.107446Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:15790b68f7894a2f74675294218eac5c4158e799445239be279cb1d7821aca59","observation_id":"d0987bc2-4af7-4345-b2d1-0e02bd6925e7","resolution":{"observed_at":"2026-08-14T13:39:12.351001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.315749Z","title":"Do deep generative models know what they don’t know? ICLR, 2019","venue":null,"work_id":"4340ea1d-18e9-4dd8-a5af-8386c925fee4","year":2019},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.114155Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:0d57fcabd8df3f67c5f2a5775d2b3360b9be1f2c9162edb9d99e79498fd73bb9","observation_id":"2178d199-3879-48be-be1e-d266710f5d70","resolution":{"observed_at":"2026-08-14T13:39:12.321652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.297015Z","title":"Fodor and Zenon W","venue":null,"work_id":"aeadcd1d-9178-451c-ab0e-7cd14b668606","year":1988},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.119979Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:5eebe2016ec929c4bb639bfdade0674bde27d14be0fab2ef0b2ac2e53ff7c2bb","observation_id":"12d94e97-61c1-450d-bc18-91d7f50a5b1d","resolution":{"observed_at":"2026-08-14T13:39:12.302434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.280158Z","title":"https : / / news","venue":null,"work_id":"b6c458a2-63f7-4b71-bee1-43c3169b3f6d","year":2019},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.125477Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:b38d85aafcd829824d239baba5c112fd0a9429f4670be0ad9a52ed005731e9ef","observation_id":"08321d43-5bc1-4cc7-b7b2-2a797348e6f7","resolution":{"observed_at":"2026-08-14T13:39:12.285227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.261637Z","title":"Artificial intelligence in pest insect monitoring","venue":null,"work_id":"3cf1f7a6-3064-475d-90cb-3c83c3dc9c7b","year":2009},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.132081Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:a6ccd54079415fd96e253b56e089f81e64a44b0c623ec306164719f6e0e61789","observation_id":"678a8d8e-282e-430f-b856-663a23f1e7dc","resolution":{"observed_at":"2026-08-14T13:39:12.267401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.243116Z","title":"Pitman, Anabelle W","venue":null,"work_id":"7bbb1188-2bc5-4f74-9cdb-73b9e2b25cc8","year":2019},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.138387Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:3c4e0a5ed1b470e2f642ccdc6feddd716c7e6ac7bb3ca6d9f0b676ee9dccefa9","observation_id":"46683ef4-0028-4d7b-8b2d-d739bf9c09e6","resolution":{"observed_at":"2026-08-14T13:39:12.249013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.221779Z","title":"Going deeper in the automated identification of herbarium specimens","venue":null,"work_id":"cf1499b2-eff0-4c5e-ae47-d0d8795690bf","year":2017},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.144022Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:8d847efc2ed4b54aaa354adcc9b884ddd0e59ff200fe0ddf34d7b327e5a31fe9","observation_id":"62b2835d-180f-4c5b-a9db-b800dfef5b4f","resolution":{"observed_at":"2026-08-14T13:39:12.227827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.11210","last_updated":"2020-02-02T18:34:09Z","snapshot_observed_at":"2026-08-14T17:23:13.225872Z","submitted_at":"2019-01-31T04:53:53Z","title":"Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.11210","snapshot_observed_at":"2026-08-14T13:39:11.153874Z","title":"Chester: A web delivered locally computed chest x-ray disease prediction system","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.153874Z"},"links":{"cited_paper":"/paper/1901.11210","citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:7c253bc559cbcac2b3ca0df8beb1cd0816ba119959561595f3319347412cdca1","observation_id":"a2a5fa7c-ac89-4f52-a79c-558c88ebc5e5","resolution":{"observed_at":"2026-08-14T13:39:11.153874Z","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":"2026-08-14T13:39:12.200254Z","title":"Deep learning approach to bacterial colony classification","venue":null,"work_id":"7bcd53c7-f95d-4342-aa7b-b6a880595bf8","year":2017},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.164911Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:12c3e4bee15a06a48e0a68fa8a1c9e47030dcae0e71775fe9651cf4f81867e09","observation_id":"adda4f6b-8e50-4104-b7e4-0943b0fd8767","resolution":{"observed_at":"2026-08-14T13:39:12.208363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.171648Z","title":"Akcay, A","venue":null,"work_id":"835cd244-379d-44d3-8188-cfbb47c219f0","year":2018},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.170568Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:37c9c898c26b324475858d8262956ac65233f56d391575bff6ce7a4f9f75fe11","observation_id":"88e6c4b6-c3df-41a9-937d-f6ce8088864b","resolution":{"observed_at":"2026-08-14T13:39:12.181014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.06222","last_updated":"2019-05-01T21:54:16Z","snapshot_observed_at":"2026-08-19T21:21:23.269481Z","submitted_at":"2018-02-17T11:26:53Z","title":"Efficient GAN-Based Anomaly Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.06222","snapshot_observed_at":"2026-08-14T13:39:11.175837Z","title":"Efficient gan-based anomaly detection","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.175837Z"},"links":{"cited_paper":"/paper/1802.06222","citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:e01d7ab2283a54deb4dcd038cb26b9299e10ef56d6b2a394c6e2401010f9ce29","observation_id":"29b3b63c-6996-4b99-92fb-6b3c2562705b","resolution":{"observed_at":"2026-08-14T13:39:11.175837Z","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":"2026-08-14T13:39:12.143378Z","title":"Generative probabilistic novelty detection with adversarial autoencoders","venue":null,"work_id":"542088ec-b59e-4218-bb4f-8430f76efc11","year":2018},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.182184Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:1f54ad9f528604e7e3ead2c21b25d619615db6714109f0826690e5c558ebb5b9","observation_id":"46ee5c5b-434d-472e-ab80-f1c9cac3031b","resolution":{"observed_at":"2026-08-14T13:39:12.149296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.120551Z","title":"Deep anomaly detection using geometric transformations","venue":null,"work_id":"58a241a3-0488-496b-b6fb-682219ea1d1d","year":2018},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.188277Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:d1b82d3e5301a1fbaf4f16bd45ca87a56fd79e0a474dd3ac5dd13bb8b21ee7a3","observation_id":"d36b2bf1-69ab-4335-bd31-9da5b27c28a8","resolution":{"observed_at":"2026-08-14T13:39:12.127620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.095158Z","title":"Berg, and Li Fei-Fei","venue":null,"work_id":"b4261b6c-d1eb-41bd-9b61-f756884db362","year":2015},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.194237Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:d9c151f347e197389a8262a8d984a0ffa2e177aeb2869d242f779b84ed02a7eb","observation_id":"4333230a-be15-4cbd-bae7-cb6c7ef671c2","resolution":{"observed_at":"2026-08-14T13:39:12.100542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.075024Z","title":"An introduction to roc analysis","venue":null,"work_id":"82894675-a328-4880-953c-9c21e6f19e1c","year":2006},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.199281Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:e3fdf3a3a2754790af4643ca7003ae67b705380083e46eea56b3d1101603d00e","observation_id":"716b2828-5b3b-41cf-a430-fa2411b440a5","resolution":{"observed_at":"2026-08-14T13:39:12.080784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.056290Z","title":"The relationship between precision-recall and roc curves","venue":null,"work_id":"45be1947-2ee0-434f-9f74-2eb09128c981","year":2006},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.205435Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:e186dc4bcc9f8fa2aab0b0e4955135f1a470856de2f49627c0f36ad78ed1eb18","observation_id":"657b2ea8-b99a-438f-bb4b-5762de2b2a2b","resolution":{"observed_at":"2026-08-14T13:39:12.062167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.024021Z","title":null,"venue":null,"work_id":"e7b6806e-545a-4064-997a-00e8a8783137","year":2018},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.211000Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:9ce486e06424feb69420fa45399adaee992020220e4f4712cf2ebb39ea16a893","observation_id":"ad67961f-e8b5-47d8-8b06-d0f46b49b6c5","resolution":{"observed_at":"2026-08-14T13:39:12.031786Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:12.004367Z","title":"Eng, and C","venue":null,"work_id":"519573b5-e902-42a5-abec-feba6f97a4bd","year":2013},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.216215Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:5d17decbd7c468d84898c8159bf82b15a73c4af8db267c459e7ab06799112925","observation_id":"75503a37-c6c1-440c-bda6-e31f4f2397e8","resolution":{"observed_at":"2026-08-14T13:39:12.010521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:11.985454Z","title":"Towards open set deep networks","venue":null,"work_id":"55a3db52-876d-48bf-81f5-f8986e307554","year":2016},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.221835Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:55b1ce539d250fa098ec3ed6ca0dc225d005fbeafc732793c3b25e805b416333","observation_id":"6795d39c-a10e-4199-b41d-9348e7039d20","resolution":{"observed_at":"2026-08-14T13:39:11.991930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:11.961485Z","title":"Reducing network agnostophobia","venue":null,"work_id":"4ffde00d-b258-44ea-9ef2-bda7ad0446a8","year":2018},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.229825Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:3359aff4c159bbab830fe9c8776dcf2939bade103a7bc4ce05a6a2b176ca3ebb","observation_id":"61504902-cbdc-4121-b0db-daabe0227b27","resolution":{"observed_at":"2026-08-14T13:39:11.970758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.04865","last_updated":"2018-02-13T21:31:36Z","snapshot_observed_at":"2026-08-14T19:46:10.262380Z","submitted_at":"2018-02-13T21:31:36Z","title":"Learning Confidence for Out-of-Distribution Detection in Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.04865","snapshot_observed_at":"2026-08-14T13:39:11.236614Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.236614Z"},"links":{"cited_paper":"/paper/1802.04865","citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:ccd7b1ea8958b7454dce456f02b19e445e9ec89eea2be60b1ea55a24063cf2e1","observation_id":"96d53b7b-accc-4a8b-9b0f-753875248320","resolution":{"observed_at":"2026-08-14T13:39:11.236614Z","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":"2026-08-14T13:39:11.925693Z","title":"Deep anomaly detection with outlier exposure","venue":null,"work_id":"4b950dc7-e69c-4bb2-9359-53e5828c0472","year":2019},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.243251Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:ac46a87673d93495b98b5786cdb59bcaa5779ced1bc31cb43f7a32d65d1917e1","observation_id":"a5c3ac96-29d7-41d6-923a-2a37352cd265","resolution":{"observed_at":"2026-08-14T13:39:11.932442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:11.904395Z","title":"Training confidence-calibrated classifiers for detecting out-of-distribution samples","venue":null,"work_id":"5aa0ed66-caf9-44ea-8670-15972e141245","year":2018},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.251795Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:7b2160dc61a27b6d641f40fd03aacaf853dffd595829ec9b43978f08b39614e3","observation_id":"b355ae09-a832-4b42-a0ad-8ff5105238a8","resolution":{"observed_at":"2026-08-14T13:39:11.911648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:11.882444Z","title":"Out-of-distribution detection using multiple semantic label representations","venue":null,"work_id":"932e04ab-7152-48db-a761-73316e2e2ad1","year":2018},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.257564Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:1084e235f035e2c1e47390c7233c211b32641eae1c69d8b58ec5ed08aa10ab35","observation_id":"73e567c6-8760-453b-86b0-f7a862273b1c","resolution":{"observed_at":"2026-08-14T13:39:11.888270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:11.863146Z","title":"Learning fair representa- tions","venue":null,"work_id":"80c8f64b-ab17-42f8-b1e4-071454342643","year":2013},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.263881Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:6762bc7a1127df23253ec2c6d960048f845f08b3531e349940190bbe072a46c3","observation_id":"389bf097-4fa7-4f70-bcbe-bdfb3b1464a3","resolution":{"observed_at":"2026-08-14T13:39:11.869153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:11.843750Z","title":"Multitask learning: A knowledge-based source of inductive bias","venue":null,"work_id":"f43a6f49-6d07-4c26-a040-dd1aa7aa626d","year":1993},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.269855Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:f8a59d8b7797803a78516b19b30b0d09298cbd9b895da3575e2f92ad640c4fed","observation_id":"cf3cc4bf-a658-4ef0-94f6-cce66dcdbf35","resolution":{"observed_at":"2026-08-14T13:39:11.850292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:11.822560Z","title":"Unsupervised visual representation learning by context prediction","venue":null,"work_id":"8732f6c7-09ab-44ae-9880-12319d9c4ed5","year":2015},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.276189Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:041ee4d9131a72891f094248919c28c401b21e12457b22e7a6eae4edcc9cfa7e","observation_id":"3c1aaa01-502b-4ae6-ad67-6fedc01eb09a","resolution":{"observed_at":"2026-08-14T13:39:11.828079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:11.804284Z","title":"Context encoders: Feature learning by inpainting","venue":null,"work_id":"b3ec7cdd-113f-40a1-b041-d77981aab909","year":2016},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.282373Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:b2c9b60a7d96359d6edceef99d2279f5e4ded65e9e746cc063a0e32d39991d55","observation_id":"c77547cf-03fd-4658-8251-ac1b551d2ccc","resolution":{"observed_at":"2026-08-14T13:39:11.810090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:11.288475Z","title":"Unsupervised learning of visual representations by solving jigsaw puzzles","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.288475Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:a0c3601b1003643b78f0f3182fd22ea27d9748ad7ea6f7cfe75135401eb02112","observation_id":"cb1e415e-fa58-4d7a-986a-036c1213264b","resolution":{"observed_at":"2026-08-14T13:39:11.288475Z","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":"2026-08-14T13:39:11.772487Z","title":"Split-brain autoencoders: Unsupervised learning by cross-channel prediction","venue":null,"work_id":"aadf0c5e-f76c-4f20-a051-facf493dba8a","year":2017},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.294352Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:ae0b918bcf2ba0a267d608b1fc5623e503510c267a551a5fcac62d190ab49bde","observation_id":"c6ce4513-0ea0-4551-a9e9-d652d5442df5","resolution":{"observed_at":"2026-08-14T13:39:11.779643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-08-14T18:53:38.574749Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-14T13:39:11.300804Z","title":"Representation learning with contrastive predictive coding","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.300804Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:454fe76990f90b2533eaedcb22a6274af1ac4b9d9dce5ddb7a2656fc18e54a2d","observation_id":"06e7221a-1a7f-43ac-9642-f45314f4eb66","resolution":{"observed_at":"2026-08-14T13:39:11.300804Z","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":"2026-08-14T13:39:11.749144Z","title":"Unsupervised representation learning by predicting image rotations","venue":null,"work_id":"6982f257-2105-4f72-b99c-a19b88dd013d","year":2018},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.308354Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:8ae60d458c9f322752c739c78f18c2a0ceeedae55944a0d4b0ea5c4e6d29275d","observation_id":"3e48ad87-1719-48a0-9b97-8fbef1c9827c","resolution":{"observed_at":"2026-08-14T13:39:11.757384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:11.314678Z","title":"Deep clustering for unsupervised learning of visual features","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.314678Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:ca5f5f9e5ad253f22620c79919c1ddd858e8c033b692c5032ba6d784ca2aa4cc","observation_id":"e942c4fb-eeeb-4482-bd0d-136d48ef60ce","resolution":{"observed_at":"2026-08-14T13:39:11.314678Z","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":"2026-08-14T13:39:11.690024Z","title":"Multi-task self-supervised visual learning","venue":null,"work_id":"39cb9a06-76ae-4ac1-8c5b-088e27de16f4","year":2017},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.320675Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:c070272a10a801bb23fc8cd48ed99167116dfbbcd4d985e83455a9713c3fa909","observation_id":"3e6e2750-66fc-4257-836e-e21adfaee303","resolution":{"observed_at":"2026-08-14T13:39:11.697407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T13:39:11.326668Z","title":"Wide residual networks","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.326668Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:34ba918b0d66c52ebd18600267ff48529323882e0fe94a24129dd280f883a38e","observation_id":"0650ac31-e6bf-4f70-9c18-0c05ef84fb7c","resolution":{"observed_at":"2026-08-14T13:39:11.326668Z","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":"2026-08-14T13:39:11.646007Z","title":"Courville","venue":null,"work_id":"5d16aa5e-9c75-4d2b-b9c5-48eb52929861","year":2017},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.332262Z"},"links":{"citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:8a3d6ccd3282b3bffbe6d6dd03f0d5362dd94c2ad547302d4ace1fe2a5f7f25d","observation_id":"ef57696e-387f-4993-96fa-b3254183f473","resolution":{"observed_at":"2026-08-14T13:39:11.654326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.09272","last_updated":"2020-07-01T11:22:05Z","snapshot_observed_at":"2026-08-14T16:28:15.077249Z","submitted_at":"2019-05-22T17:57:49Z","title":"Data-Efficient Image Recognition with Contrastive Predictive Coding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.09272","snapshot_observed_at":"2026-08-14T13:39:11.338949Z","title":"sits inside","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T13:39:11.338949Z"},"links":{"cited_paper":"/paper/1905.09272","citing_paper":"/paper/1908.04388"},"observation_digest":"sha256:e0e372335e9e16e3dfe293dab4e525f723c1457e99cd631598cb650f1af92853","observation_id":"15bbdc5b-0356-4d8b-a16d-011f21b6e6ac","resolution":{"observed_at":"2026-08-14T13:39:11.338949Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"1908.04388","last_updated":"2019-11-21T20:48:53Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-20T09:13:25.356019Z","submitted_at":"2019-08-13T14:56:40Z","title":"Detecting semantic anomalies"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":33},"total_outbound_references":45},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:1908.04388."}