{"as_of":"2026-08-16T21:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8399d619607ee89afcc5997cfc45c2478bb1a2479d93895cb513e714b1ac4206","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:40:20.988295Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"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/1908.02723/citation-record","integrity":"/paper/1908.02723/integrity","json":"/paper/1908.02723/citation-record.json","paper":"/paper/1908.02723"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:40:21.251864Z","title":"Automatic Differentiation in PyTorch","venue":null,"work_id":"d36ab7ec-ecf9-432c-b48a-824f2b0145e8","year":2017},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.894846Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:6bd536fb3f11a04886ebe8cb8d7c51aec2745c87f7e71e2983a9945caf017838","observation_id":"1c0a215c-0147-4813-a66f-487c9e722027","resolution":{"observed_at":"2026-08-14T14:40:21.255830Z","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":"2026-08-14T14:40:21.227359Z","title":"Predic- tion of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Ap- proach","venue":null,"work_id":"bb0c7e19-b6e0-4e41-b773-ea0ed5125aea","year":2016},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.904808Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:9f1a88e5a4e40bae4fc0e39010d28278ec239e16d7bc123d0b4cd1537aa74a54","observation_id":"cd6df097-79de-40d5-a384-b9b15930b521","resolution":{"observed_at":"2026-08-14T14:40:21.231611Z","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":"1703.07771","last_updated":"2019-08-09T19:21:40Z","snapshot_observed_at":"2026-08-14T21:10:30.856358Z","submitted_at":"2017-03-22T17:53:27Z","title":"Multitask learning and benchmarking with clinical time series data","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.07771","snapshot_observed_at":"2026-08-14T14:40:20.922960Z","title":"[He et al., 2016] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.922960Z"},"links":{"cited_paper":"/paper/1703.07771","citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:292a08c45e941dccac2024a023f2941d26f81359bf0904b33562b1b61bed918a","observation_id":"f06ff543-45b8-4337-aaaf-31b3c6f09de2","resolution":{"observed_at":"2026-08-14T14:40:20.922960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.00899","last_updated":"2018-10-22T17:36:07Z","snapshot_observed_at":"2026-08-14T21:47:20.607853Z","submitted_at":"2018-05-02T16:27:32Z","title":"AI safety via debate","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.00899","snapshot_observed_at":"2026-08-14T14:40:20.931990Z","title":"[Itti et al., 1998] L","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.931990Z"},"links":{"cited_paper":"/paper/1805.00899","citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:ae6ef274b82388fc2c89d0e614b644ccc498acfccfe7aec44aedf4c55ab304fd","observation_id":"2e608cb0-21ac-4668-af40-bf34fcdb58bd","resolution":{"observed_at":"2026-08-14T14:40:20.931990Z","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":"2026-08-14T14:40:21.170095Z","title":"Kingma and Jimmy Ba","venue":null,"work_id":"97c69c8a-e8f8-4dae-a82a-c9f5003ea9c1","year":2014},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.941242Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:804a598341110cf6e91b8b56e67d3a6438e2059dd5b9e4a51023dbe5a758284d","observation_id":"ee01eafe-9edd-4bc0-b353-767929405d4d","resolution":{"observed_at":"2026-08-14T14:40:21.174143Z","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":"2026-08-14T14:40:21.157934Z","title":null,"venue":null,"work_id":"8204050f-17ab-43ff-b5b7-2aeffbbeed6c","year":2015},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.946807Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:b331513e4afe133aaf42e6212ffe25ce1734637f683bf03de1b816309b9bef68","observation_id":"781a28d5-66b1-4781-b9af-6494e0b58b1e","resolution":{"observed_at":"2026-08-14T14:40:21.161868Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-14T14:40:21.132913Z","title":"Deconvolution and checkerboard artifacts","venue":null,"work_id":"6f2076d8-18ca-4ca0-95a4-1735a1f2c7ab","year":2016},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.955687Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:db6deea2812ec439165875cf505f55702c32bff6c35132217fd00ef3842fc222","observation_id":"edafaffb-27c8-4443-80ab-b61c6f7e5c28","resolution":{"observed_at":"2026-08-14T14:40:21.137331Z","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":"2026-08-14T14:40:21.118679Z","title":"Learning Independent Causal Mechanisms","venue":null,"work_id":"6b78b3dd-9933-4931-b399-353380d0e97c","year":2018},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.960341Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:71b068bb05d4534cf5c5481253f4642ee3e3a7e7be28541729b607cfdbc43b3d","observation_id":"59f17215-bbbd-42bc-be6a-259c26c32550","resolution":{"observed_at":"2026-08-14T14:40:21.123095Z","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":"2026-08-14T14:40:21.107092Z","title":"”Why Should I Trust You?”: Ex- plaining the Predictions of Any Classifier","venue":null,"work_id":"62a7026c-2be2-4146-911d-6082ee20462d","year":2016},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.964974Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:29113f9852435b2871350b93ec88ec777f08e258690ae5f2633e848978dd8212","observation_id":"43c6a85b-28c5-4166-afa9-836b95a6db1a","resolution":{"observed_at":"2026-08-14T14:40:21.110832Z","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":"2026-08-14T14:40:21.094101Z","title":"event- place: San Francisco, California, USA","venue":null,"work_id":"ddaaddeb-b02e-42da-ae70-2838f25766db","year":2015},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.970346Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:8e8be85ae2d93fd1d84fda15a29644c552509ff9957a369fd8b6c70acf4acf9f","observation_id":"d18c556b-e8c8-4815-83ca-8d756c452070","resolution":{"observed_at":"2026-08-14T14:40:21.098518Z","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":"2026-08-14T14:40:21.081867Z","title":null,"venue":null,"work_id":"575b8465-69be-4b9b-996f-f5615a7fe885","year":2017},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.974480Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:e2aee34d3dbd803aebe6f04efa0932325d0fbaa40c6cdae1c90e21f203433cd9","observation_id":"57e4d7bc-fe77-4504-84df-1ad9de77f07f","resolution":{"observed_at":"2026-08-14T14:40:21.085728Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-14T14:40:21.066305Z","title":"Mastering the game of Go without human knowledge","venue":null,"work_id":"10199859-84e1-4371-bcad-e701c2b18290","year":2017},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.978506Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:3ff7c2b5aec4fc1bd8a195b5b151e152d29c7238a86726d123fe3d04898503be","observation_id":"dcdefc74-29ac-4f56-bdad-f53819c80937","resolution":{"observed_at":"2026-08-14T14:40:21.072485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:40:20.982379Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.982379Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:ca21b96bb19442fa6283aba9282f67d8cc1a70855d58c257f5bb6072db991f85","observation_id":"49dbc526-a1d7-4b7f-b275-e0ec47a81742","resolution":{"observed_at":"2026-08-14T14:40:20.982379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.07747","last_updated":"2017-09-15T21:29:49Z","snapshot_observed_at":"2026-08-13T15:13:33.081929Z","submitted_at":"2017-08-25T14:01:29Z","title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.07747","snapshot_observed_at":"2026-08-14T14:40:20.988295Z","title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.988295Z"},"links":{"cited_paper":"/paper/1708.07747","citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:2fc17f935679ec59cb159c58b26374a5bf7680899192465789a4dac0261ddb42","observation_id":"a8b3c4fb-92b3-4a60-9fbc-4581d2a5cf9c","resolution":{"observed_at":"2026-08-14T14:40:20.988295Z","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":"2026-08-14T14:40:21.181631Z","title":"Pollard, Lu Shen, H","venue":null,"work_id":"db6469e5-e9cf-4189-b320-71ac4d7ed2a0","year":2016},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":1998,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.936555Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:26161c444abafee675ebfe9c0e52df4f0839b0d7b091ca281d0925daea7d4edc","observation_id":"e0c84f81-c808-488b-8148-0209354ad39d","resolution":{"observed_at":"2026-08-14T14:40:21.187043Z","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":"2026-08-14T14:40:21.145714Z","title":"Maslove, Francois Lamon- tagne, John C","venue":null,"work_id":"5182d4bc-1a63-432f-808c-17f92678d2e8","year":2017},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.951469Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:d34bd6ca0e9fde45ac9b260dd39b21f64edfadd145f3bb852ae4d3542e441466","observation_id":"1e75c7b7-53c3-4d30-8fc9-eb1e79cd0034","resolution":{"observed_at":"2026-08-14T14:40:21.149497Z","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":"2026-08-14T14:40:21.215058Z","title":"Namboodiri, Philip H","venue":null,"work_id":"a39f7ccf-9c65-4e2a-a06d-d3971df06402","year":2018},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.909120Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:77972c8a02e43fb26c90dda3f6bfccb86ba16f1e19f5bf6f8a3d61b1e66265fb","observation_id":"b09f3ef1-cdf9-4a55-bc18-63b5ee228694","resolution":{"observed_at":"2026-08-14T14:40:21.218988Z","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":"2026-08-14T14:40:21.239957Z","title":"Segnet: A deep convolu- tional encoder-decoder architecture for image segmenta- tion","venue":null,"work_id":"85dc3770-8ba5-4263-a796-37514c0f6eab","year":2017},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.899648Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:eb6ddbe751d337908d8a8b42a103a7f9358b177d7f1a1d512c8c1b3531d3f95f","observation_id":"e8fd789f-0d38-435d-84db-4461c1bc9158","resolution":{"observed_at":"2026-08-14T14:40:21.244166Z","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":"2026-08-14T14:40:21.202340Z","title":"Gen- erative adversarial nets","venue":null,"work_id":"fe54f3aa-206f-461b-9808-dc6adb8ed724","year":2014},"citing_paper":{"arxiv_id":"1908.02723","last_updated":"2019-08-07T16:55:44Z","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-14T14:40:20.913605Z"},"links":{"citing_paper":"/paper/1908.02723"},"observation_digest":"sha256:9e4cda2c8f83bed832d520c919c98c1a8133f58e7d9f0a268586c1f33e7e40e1","observation_id":"32066e7f-7fdb-4b29-affb-929e1a34daf0","resolution":{"observed_at":"2026-08-14T14:40:21.206873Z","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":"1908.02723","last_updated":"2019-08-07T16:55:44Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T05:21:19.640638Z","submitted_at":"2019-08-07T16:55:44Z","title":"Advocacy Learning: Learning through Competition and Class-Conditional Representations"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":13},"total_outbound_references":19},"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 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:1908.02723."}