{"as_of":"2026-08-15T08:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0f8aaf35b9149302882b2e39bb0a924a42dbca21359d0a305deb47d4d6f99bcb","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":"2026-08-14T15:23:24.069225Z","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":"2026-08-15T06:32:42.880941+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/1908.01342/citation-record","integrity":"/paper/1908.01342/integrity","json":"/paper/1908.01342/citation-record.json","paper":"/paper/1908.01342"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:23:24.790195Z","title":null,"venue":null,"work_id":"a0024fe4-df3f-4fb6-81e9-7132639fb06e","year":2007},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.853857Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:79df65352570e27be645d8234dce1f69bb11924cd46390e03282f8be1a3550ec","observation_id":"2583c1cc-1be4-43cf-ab80-881bdcdac655","resolution":{"observed_at":"2026-08-14T15:23:24.794884Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.774920Z","title":null,"venue":null,"work_id":"10886a0c-e2b9-4aef-83f0-5f9fbb07ba51","year":2017},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.859354Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:ef07dc2c11d0b7eb0c0ec76daf8c1cb6d6d83b4566e35f3a3844b9ac33dae7bb","observation_id":"91927e83-fdf1-41d3-bb85-30f488a2f351","resolution":{"observed_at":"2026-08-14T15:23:24.779738Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.759704Z","title":"Pouyanfar, S","venue":null,"work_id":"c0b56111-e3f1-43f1-8671-253426446b9b","year":2019},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.864249Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:6bb289da7a4e8e22d9912097e1c90dff5f26525868c9a0129b9414056b788459","observation_id":"45798519-6443-47bc-a862-04f65aa404cd","resolution":{"observed_at":"2026-08-14T15:23:24.764258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.744691Z","title":null,"venue":null,"work_id":"91e62548-f2bf-4207-8830-a54b6208c720","year":2017},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.869149Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:500369c841c60c038db93a92968ecbfab9a23c7d0cecb675e27d333e4d4e4f90","observation_id":"22c7e6be-54e4-4fa9-a5c0-968694a64fef","resolution":{"observed_at":"2026-08-14T15:23:24.749378Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.729928Z","title":"Jiang, H","venue":null,"work_id":"68e1704c-c03b-43a6-bee2-bef7df811196","year":2019},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.874047Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:8ccb8f660b1c0568fe2ab7ffb9261ef018b9683fd250c7fa04c5033b92dac31f","observation_id":"a82f7b8c-5c8d-466f-8e87-5dd7af283b18","resolution":{"observed_at":"2026-08-14T15:23:24.734803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.705764Z","title":null,"venue":null,"work_id":"4b497303-a3ab-430b-b981-2a25cd9add4e","year":2010},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.879080Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:eb41b01dfee635258abad72196e5130243a7a520b789dda91f4684c7ab674564","observation_id":"71a85e73-805c-462f-b144-b78103a44e69","resolution":{"observed_at":"2026-08-14T15:23:24.710729Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.690639Z","title":"Sagha, N","venue":null,"work_id":"6fb21287-f625-4f62-9a00-7049017485ff","year":2017},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.884800Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:394940c2a379e853471c2a4ca7ba9312a567a7e3582f6dfa27f14b666e2b9808","observation_id":"957325fe-26da-4469-b65a-d057d0d8e08b","resolution":{"observed_at":"2026-08-14T15:23:24.695393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.676706Z","title":null,"venue":null,"work_id":"c383b8ed-ed31-445d-a15f-645f793075af","year":2018},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.889641Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:304448d8ff4ab503f8eab404936697def6e5490aa7f323fb405f58cf8a82d5ff","observation_id":"a9bfa1d4-6d34-4095-b02d-cbee6ab6a2a7","resolution":{"observed_at":"2026-08-14T15:23:24.681542Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.656331Z","title":"Zellinger, B","venue":null,"work_id":"84eced5b-e6bd-4025-8f1c-1e002d6aee62","year":2019},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.894579Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:792dff5011a8b4ce20215c67953b1d39949c1504087e96ae7cf5e99b646e47af","observation_id":"e6d6e653-1d0b-4ab3-a990-48fec4b80410","resolution":{"observed_at":"2026-08-14T15:23:24.660957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.640511Z","title":"Glorot, A","venue":null,"work_id":"458c2a07-3eed-42d2-9dc8-0e72cbf96d71","year":2011},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.899531Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:08b4be27a98b0077e42112d603d45291f2506349cc45931985394bcefc5d7044","observation_id":"55f06d1a-ff48-46bf-9bde-97611dce51ba","resolution":{"observed_at":"2026-08-14T15:23:24.645211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.625587Z","title":null,"venue":null,"work_id":"2f0e4c8f-ad0c-47a4-9180-a75628024a23","year":2012},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.904117Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:bf24a54088ea84a7a915c43704e5f270cdb025dc64029d63bb965654c5ef5899","observation_id":"289fa48e-10fc-4d26-996b-5aedfd5897f6","resolution":{"observed_at":"2026-08-14T15:23:24.630126Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.611046Z","title":null,"venue":null,"work_id":"e7cdf327-b8bf-44ab-b94f-2c49916debc7","year":2018},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.908996Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:11d328307ce7396dc4cdfef549a01c0714a1c369ce747100243be4975eb222e5","observation_id":"2e2ab1f5-9d02-46fb-a743-c4888184166d","resolution":{"observed_at":"2026-08-14T15:23:24.615543Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.596816Z","title":null,"venue":null,"work_id":"1e919c2d-36b7-4828-9381-ca8471a97cd4","year":2018},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.913594Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:8dd3760d392e5a7519dbf262b6d23ccc1a8d7f25916fdf485f7134dfc7fbf313","observation_id":"d0ec67eb-51d2-4a4c-9906-ad085598f4f8","resolution":{"observed_at":"2026-08-14T15:23:24.601384Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.582883Z","title":null,"venue":null,"work_id":"0cb2c7c6-2683-4dba-8052-29c4f1f52c00","year":2017},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.918794Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:de17447535045355563148542b92e83713f6831f1c33ace44acd0f3881e85013","observation_id":"2947283a-605a-4954-a49e-e435f318d71d","resolution":{"observed_at":"2026-08-14T15:23:24.587331Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.567657Z","title":null,"venue":null,"work_id":"dfbcb226-850a-4b83-9b82-acd6ca574896","year":2018},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.923412Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:9468e67adb55ee68de4d6e3ef8060c5b2934ed0b7253df1fce20a631f5b9246f","observation_id":"1b18b021-5001-4b38-beac-14cc666baaaf","resolution":{"observed_at":"2026-08-14T15:23:24.572210Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.553279Z","title":null,"venue":null,"work_id":"fd4c287a-9136-4f81-96dd-757445884124","year":2018},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.927807Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:691454c9451ffda1727c8e1dad7a15f607d28b17f4187c276b7721aa8a55b829","observation_id":"b8ad44bd-adac-4020-bf2c-8fe256fca730","resolution":{"observed_at":"2026-08-14T15:23:24.558090Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.538038Z","title":"Jaech, L","venue":null,"work_id":"3bea805d-571e-43d8-ad57-7481e3f32c1d","year":2016},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.932676Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:2da53f65f33bd23a1be3d3cdd1343cfcc128f6a4ecd07833da74d503a3b4af85","observation_id":"e8b9b091-d7b9-468e-bb23-6862da0cbef3","resolution":{"observed_at":"2026-08-14T15:23:24.542708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.523525Z","title":null,"venue":null,"work_id":"6587683d-2b05-4284-88f3-80cc079637ea","year":2017},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.937145Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:5ade11ae508674b8497560cf177d8c3597a8f385cf230965458af15cac18f44c","observation_id":"4630d1b3-2900-4b33-b146-d13dfd6d7c22","resolution":{"observed_at":"2026-08-14T15:23:24.528267Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.508604Z","title":null,"venue":null,"work_id":"a1e6006d-6695-47f0-b009-b49c054e6313","year":2018},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.941615Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:250e51aced3b93ba87420c148598406622162da0cfe9d1ac1924b665d313c579","observation_id":"abc57c69-c77f-4c72-8a5e-b93f452ba13d","resolution":{"observed_at":"2026-08-14T15:23:24.513527Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.492555Z","title":"Tzeng, J","venue":null,"work_id":"9e762047-f47b-433c-8d94-841e7980ee45","year":2017},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.946191Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:210b2d24887e2d0da6e36b570127d6f628c731b56cab9d3b09e5c4eb8c78d7ec","observation_id":"43ee693d-21b4-4130-94ca-e26b69ae9de3","resolution":{"observed_at":"2026-08-14T15:23:24.497292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.477159Z","title":null,"venue":null,"work_id":"1aeeec72-a8d0-47fe-8a9d-52c00f955985","year":2018},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.950879Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:2f30c8037a8bb015cf01f6dc5d4dcaba7994f91d80709ca73f7e9475186c76e5","observation_id":"c78618f8-e6d1-4d6d-af67-619289e9bfc0","resolution":{"observed_at":"2026-08-14T15:23:24.481958Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.462735Z","title":null,"venue":null,"work_id":"785773e8-06ae-4d24-a2d9-623445ee9cab","year":2018},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.956100Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:d845808eb9b7acaa576e19bb9b5a0cdf343ea1de61b422f6ab8ddb79627440d6","observation_id":"a9374f8a-eb7d-41c3-ae63-d2fc63a5c69a","resolution":{"observed_at":"2026-08-14T15:23:24.467553Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.448554Z","title":null,"venue":null,"work_id":"d7b967b2-f74f-4bdd-9393-9b5d620362d9","year":2018},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.960985Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:203db2cd9115d010bdbb2b4eb7ece366727c962ddea7377f2a81145c47e91d90","observation_id":"a8cfaad4-c4d5-4d6b-8333-77b6f643f0af","resolution":{"observed_at":"2026-08-14T15:23:24.453099Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.434420Z","title":null,"venue":null,"work_id":"bf6e90d3-4c66-4ddf-a2cf-367f50a05875","year":2016},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.966026Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:e7b864ffa7dec33cec5f82803f53e92b67b2cbf77fbfc1417127a4195c918411","observation_id":"691a4991-5a7c-4ba2-9fe0-1dda1ea53eb1","resolution":{"observed_at":"2026-08-14T15:23:24.438916Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1702.05993","last_updated":"2017-02-20T15:00:13Z","snapshot_observed_at":"2026-08-14T21:15:42.210339Z","submitted_at":"2017-02-20T15:00:13Z","title":"An Extended Framework for Marginalized Domain Adaptation","version":1},"cited_work":{"arxiv_id":"1702.05993","doi":null,"metadata_source":"pith","pith_arxiv_id":"1702.05993","snapshot_observed_at":"2026-08-14T15:23:24.107728Z","title":"An Extended Framework for Marginalized Domain Adaptation","venue":"cs.CV","work_id":"616b81a2-6cb3-4ec8-909d-89a60890d9af","year":2017},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.971165Z"},"links":{"cited_paper":"/paper/1702.05993","citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:3aa3173be9de840802f64903cf2f7b9cdc2259e4db1435e9a530136b8b44a587","observation_id":"809c512f-9253-460d-a289-97f8ef2c3fd2","resolution":{"observed_at":"2026-08-14T15:23:24.115147Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.420282Z","title":null,"venue":null,"work_id":"97ee0884-74f8-4f7a-8d1a-8ce7762c6afa","year":2019},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.976165Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:0a183f626b7695ad7bce222fc9715bf32538bb2f859314ed3eb8d4446f9c3faf","observation_id":"578b7d6e-7e10-4674-82c1-53ec33eea417","resolution":{"observed_at":"2026-08-14T15:23:24.424690Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.405100Z","title":null,"venue":null,"work_id":"e2fd17f6-1980-44d5-a372-6e0ab3241627","year":2019},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.980861Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:d377000165aaaa121ce5e17e974c872edcbfe1593bb01f887f8f5492cfc64caf","observation_id":"d406888a-259e-4b3c-be76-89572dc45ba4","resolution":{"observed_at":"2026-08-14T15:23:24.410484Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.389466Z","title":"Blitzer, R","venue":null,"work_id":"d89405a7-8e26-45c6-880b-d42b6c86c2c3","year":2006},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.985591Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:049231f315dae4c3a39ec3daf2483ae7e6d89426e91ae2021ccc3954a00fd641","observation_id":"53bb9c19-8432-4ee7-9936-7d89301b9ce6","resolution":{"observed_at":"2026-08-14T15:23:24.394755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.374115Z","title":null,"venue":null,"work_id":"e14e0c38-5532-4ee3-bb6a-401a0dacbce9","year":2011},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.990055Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:720791e7750b692987ea294bdf6ffc2bbcd95e11ac62533c8b9af1684e0fc37f","observation_id":"25d09caf-ff16-42a9-80a8-ee9ae6c55260","resolution":{"observed_at":"2026-08-14T15:23:24.378889Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.358043Z","title":null,"venue":null,"work_id":"3adf3c0a-3deb-4ed2-9a6e-2542d2475cec","year":2017},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.994798Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:a6a655dfe31cc64efa080c96ee207d9a7d4007ac13c147c121069ad024ba3149","observation_id":"7d72e33d-46b6-4f0d-bcbe-c02d951207df","resolution":{"observed_at":"2026-08-14T15:23:24.362800Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.342147Z","title":null,"venue":null,"work_id":"f4e71c09-0e15-44d1-90cf-7572b43d965a","year":2016},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:23.999999Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:95a3baabc2b1f26574fbfe9aeebfb1ded65aece7d5a3829c978b454e4868f61a","observation_id":"09bbee04-5c1a-494b-a06a-fc351c828e6b","resolution":{"observed_at":"2026-08-14T15:23:24.347032Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.327646Z","title":"Sharma, P","venue":null,"work_id":"ad114b32-44fe-497c-bdab-6d5b6bf81b68","year":2018},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:24.005323Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:ddacc3a8623816037387639e9706399c52ec13108b96ca8504862d25aa0e0e31","observation_id":"d2dd070f-b33d-4bff-a84d-90ad5fb7de78","resolution":{"observed_at":"2026-08-14T15:23:24.332118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.312825Z","title":null,"venue":null,"work_id":"32c8c734-e2b6-4607-9582-7055af8b332a","year":2018},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:24.010060Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:637c452c116eb45473c331489165315c13cf001b8e6f49f8b4eb606fd9cc8bef","observation_id":"83dfaf6a-f68a-44a8-912c-36f281cc36b1","resolution":{"observed_at":"2026-08-14T15:23:24.317904Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.297690Z","title":null,"venue":null,"work_id":"e5d25256-7131-4f67-8cb4-b8d1ba67e63d","year":2019},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:24.015662Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:b9417ea76e6c0400467c35ede4eefb59472a8d5dec559cafdd56fe7c5939fc2f","observation_id":"aa60d9ba-5117-4970-8c32-336271e5b4ce","resolution":{"observed_at":"2026-08-14T15:23:24.302552Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.281455Z","title":null,"venue":null,"work_id":"61337a84-15d6-46d5-ba9c-171bed1b4715","year":2019},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:24.020547Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:3a7b135e1e383c9caf62b650a7fa1089045629edcedf176c93e4cf5724bd6b08","observation_id":"2e800400-6b38-4430-bd9d-eb90f7bbd38b","resolution":{"observed_at":"2026-08-14T15:23:24.286969Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.266781Z","title":null,"venue":null,"work_id":"9060d8a9-694f-46c7-b8c6-19ea8668c8f4","year":2019},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:24.025165Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:f2b1b304bc7f4d7243bf33a458da6e05d6524e061bcd06b06b3c6f1d5c6db599","observation_id":"6a1a0bb5-2145-4b4f-90b2-f231e8c71cd8","resolution":{"observed_at":"2026-08-14T15:23:24.271365Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.251328Z","title":null,"venue":null,"work_id":"ecd3cac3-8397-400c-bcca-9a2d1481b33b","year":2018},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:24.030596Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:486fc9b9464363d4751b596f2d475f8c9f3811cd5faeeb42281c2b70995eb3b4","observation_id":"a4d0c2cd-72b5-4178-8e60-7cc6ebcad24e","resolution":{"observed_at":"2026-08-14T15:23:24.256048Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.235989Z","title":"Jiang, H","venue":null,"work_id":"29913a1d-3604-4f9a-a198-dd7d84c1c2ab","year":2016},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:24.035433Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:71c4e16a286b3dad083b4cd814779959621e47ae0ccee2d8f063fdc97362ccaa","observation_id":"7dd001ba-b9cd-4355-ac17-c881f3b5eef8","resolution":{"observed_at":"2026-08-14T15:23:24.241437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.221218Z","title":"Ganin, V","venue":null,"work_id":"e6d4896c-7b6a-4449-aac6-e1a4ea49ec18","year":2015},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:24.040095Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:61c32fad5529df6c1bf79cde8a1de1992f753a723e9cbcc59b0bb61b4397ef18","observation_id":"cea13b65-e697-4782-9f67-985ae5625c4c","resolution":{"observed_at":"2026-08-14T15:23:24.226221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.206669Z","title":"Clinchant, G","venue":null,"work_id":"66a74b38-e092-4b0d-80e7-319fb50aed3c","year":2016},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:24.045043Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:315c554b4d0a1d1eec6425d3d2dfe47fb88d9bf38178578a90876b3d689bc470","observation_id":"f0e9c278-a5b6-4081-92af-0160765294c8","resolution":{"observed_at":"2026-08-14T15:23:24.211293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.189891Z","title":null,"venue":null,"work_id":"bd64216d-f262-4b4c-b755-ae82b396e1a6","year":2018},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:24.049728Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:76a1985e30e2f9c860f08084f3f34588db43704edd724da7a1c9a909ab0b5922","observation_id":"80405045-241c-469c-837b-a33d601563e6","resolution":{"observed_at":"2026-08-14T15:23:24.195144Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.174059Z","title":"Ben-David, J","venue":null,"work_id":"c353d206-e990-46ff-a2f7-59542628a369","year":2006},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:24.054460Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:eef1d5da1c62c1c9027edb13dd492fd145d98795347962cdda8d6927316f1408","observation_id":"edf3898f-ca5a-4cab-aff8-e9cf5bcef156","resolution":{"observed_at":"2026-08-14T15:23:24.178782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.157632Z","title":"Mansour, M","venue":null,"work_id":"46e551c8-21b6-437e-9c95-1bd8db26415b","year":2009},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:24.059753Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:dea384ddcfd11b9bf8f5283527fb83fb69c58ae811b3f93db4b2ba7bf94ddac4","observation_id":"51635773-4101-44e1-8201-88124a97386f","resolution":{"observed_at":"2026-08-14T15:23:24.162644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.141632Z","title":"Vapnik, Statistical learning theory, Wiley, 1998","venue":null,"work_id":"d2c65587-0f4b-41d7-b7da-c8e490c3830c","year":1998},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:24.064482Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:9833f7620167a8409cac510d26cf690a5514b595c792035d9d0344d3aee50e26","observation_id":"b4979201-1c36-405c-ab33-2dc7fff2d4c1","resolution":{"observed_at":"2026-08-14T15:23:24.146929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:23:24.126483Z","title":"Ghifary, D","venue":null,"work_id":"e60d9d54-fe62-48c0-92e3-861436efea4a","year":2017},"citing_paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation","version":4},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T15:23:24.069225Z"},"links":{"citing_paper":"/paper/1908.01342"},"observation_digest":"sha256:3b15b451efc3857c4bc492af21d62811b2f6f480f37fbd28f659c57ce008e659","observation_id":"bc9a0e9b-59a0-46fe-8945-935dd09c27d3","resolution":{"observed_at":"2026-08-14T15:23:24.131137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.01342","last_updated":"2019-10-25T08:13:48Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T05:58:52.487900Z","submitted_at":"2019-08-04T13:49:34Z","title":"Semi-supervised representation learning via dual autoencoders for domain adaptation"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":1,"verified_fuzzy":16},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:1908.01342."}