{"as_of":"2026-08-16T11:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c0390ae585c38b22b2c27d87836575240d6356f56dbc1b98b8b34b957bcc6503","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:44:59.221682Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"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/1908.06583/citation-record","integrity":"/paper/1908.06583/integrity","json":"/paper/1908.06583/citation-record.json","paper":"/paper/1908.06583"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:59.696831Z","title":"and POO, D.C.C., 2018","venue":null,"work_id":"f60d524a-fa05-41de-a87d-fbf7df985158","year":2018},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.092656Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:c52d94c9405f58e053e761cba90d88eed57c1eddfed79810aa726f6befd09428","observation_id":"520c69ed-b5f5-42d6-9308-0576c1d61b9d","resolution":{"observed_at":"2026-08-14T12:44:59.704276Z","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":"2026-08-14T12:44:59.681506Z","title":null,"venue":null,"work_id":"9f37bca5-9559-4423-b226-c5c32ccdbfa3","year":null},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.097370Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:434d91ce4abc7cb9115ece40fe5830be8afe0aa6f6560e4bbfdba705eb91ef5c","observation_id":"3a752ea5-b8d9-48fb-b3db-a69639512250","resolution":{"observed_at":"2026-08-14T12:44:59.686573Z","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":{"arxiv_id":"1809.00366","last_updated":"2020-03-16T15:07:38Z","snapshot_observed_at":"2026-08-14T18:34:00.170431Z","submitted_at":"2018-09-02T16:24:38Z","title":"Cold-start recommendations in Collective Matrix Factorization","version":2},"cited_work":{"arxiv_id":"1809.00366","doi":null,"metadata_source":"pith","pith_arxiv_id":"1809.00366","snapshot_observed_at":"2026-08-14T12:44:59.290390Z","title":"Cold-start recommendations in Collective Matrix Factorization","venue":"cs.IR","work_id":"b3a63aff-c252-4769-b585-1f55b39d399d","year":2018},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.105971Z"},"links":{"cited_paper":"/paper/1809.00366","citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:b0cd284e1f26454b06d099e553051f626502eafa8fa5bf4791eb521886d2e22b","observation_id":"aa65db4d-5a97-4ff2-9265-bedb4772c65f","resolution":{"observed_at":"2026-08-14T12:44:59.296983Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-14T12:44:59.651691Z","title":"A multi -view deep learning approach for cross domain user modeling in recommendation systems","venue":null,"work_id":"c022f869-e89e-4ea1-8b78-dbb6fc61baf3","year":2015},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.110923Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:7cfebcaf1e5af818747f8680313a106509125df9128b24dce67d21d4534d030a","observation_id":"aecf727a-09e6-438f-ba44-4fe078627d3e","resolution":{"observed_at":"2026-08-14T12:44:59.655616Z","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":"2026-08-14T12:44:59.639718Z","title":"and KONSTAN, J.A., 2016","venue":null,"work_id":"4195e42b-e7e2-4a94-b872-1822b1364467","year":2016},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.115348Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:e8832ed9616e50c83ff443f7e2cf7a604181e84b4f12bd3b7f992153b449324d","observation_id":"a7849ac3-5732-4a2c-a7bc-daca49089b56","resolution":{"observed_at":"2026-08-14T12:44:59.643741Z","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":"2026-08-14T12:44:59.625534Z","title":"Robust Transfer Learning for Cross -domain Collaborative Filtering Using Multiple Rating Patterns Approximation","venue":null,"work_id":"1adfd711-0df0-4811-8090-63916a76760a","year":2018},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.120852Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:7df0dc1e6221b60d778968fc4071724cd0105f5c781914834feadb3eebba879b","observation_id":"2dd6892e-a1cb-49e8-bbee-64f14ee7668f","resolution":{"observed_at":"2026-08-14T12:44:59.630989Z","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":"2026-08-14T12:44:59.611591Z","title":"and MCAULEY, J., 2016","venue":null,"work_id":"152609a8-1ebf-4da3-90b7-ea08a7bf1517","year":2016},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.129318Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:fdbd41ef9b9ca60bb6e16464b3be1856b1182c3c84fd10cc554d5bf2320d1628","observation_id":"9e36ff3b-040f-4994-9026-38dedf8fc976","resolution":{"observed_at":"2026-08-14T12:44:59.616491Z","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":"2026-08-14T12:44:59.596597Z","title":"Neural collaborative filtering","venue":null,"work_id":"31440354-3f90-4cf8-828c-fe3fcf2d1f14","year":2017},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.133631Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:5fe8e9de2a2ecfe57f9c32e758facfcf4c83b313fec76119effaebd2207b6b72","observation_id":"35463f7e-c9fc-44b7-9f34-0c7bf9ec4cab","resolution":{"observed_at":"2026-08-14T12:44:59.601939Z","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":"2026-08-14T12:44:59.577836Z","title":"CoNet: Collaborative Cross Networks for Cross -Domain Recommendation","venue":null,"work_id":"f7a27c32-7309-4386-856f-622ebfab1227","year":2018},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.137815Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:801bf02a3f5f3455401e804bbdcf2264a89f1a50f66237d9b58d2b2a52c3de5e","observation_id":"02b3e416-f091-4ab3-91ce-7a51e0e9c35e","resolution":{"observed_at":"2026-08-14T12:44:59.583394Z","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":"2026-08-14T12:44:59.562512Z","title":"MTNet: A Neu ral Approach for Cross-Domain Recommendation with Unstructured Text","venue":null,"work_id":"9a456470-7c7b-4a38-8126-775a9df23846","year":2018},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.142103Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:335b4f2d9d9531dc026e097d3187cf777dae8fbdbe4db7a10de1acc3180fed3f","observation_id":"97dfa762-6a25-4f4a-adf7-7df47ef89b2d","resolution":{"observed_at":"2026-08-14T12:44:59.567392Z","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":"2026-08-14T12:44:59.545051Z","title":"Personalized recommendation via cross -domain triadic factorization","venue":null,"work_id":"9563a5a3-1845-49c7-a623-41e77fe90917","year":2013},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.146419Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:fee7184cccd670bab38107a0636b94fd92d4189f79ca1129eddeb1852ded40a0","observation_id":"791ec4ac-c592-4c0c-93c6-8ecf8ac96e02","resolution":{"observed_at":"2026-08-14T12:44:59.551964Z","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":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-08-14T23:50:45.029465Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-14T12:44:59.150305Z","title":"and WELLING, M., 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.150305Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:5a692a49f92b84886d50ed2abc831f521ac4a99923481227d82d7b0d5af04e64","observation_id":"9df3da03-1255-4a84-99a7-4e2d1b897651","resolution":{"observed_at":"2026-08-14T12:44:59.150305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.01715","last_updated":"2017-10-10T22:31:59Z","snapshot_observed_at":"2026-08-14T20:43:03.683293Z","submitted_at":"2017-08-05T06:31:50Z","title":"Training Deep AutoEncoders for Collaborative Filtering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.01715","snapshot_observed_at":"2026-08-14T12:44:59.153925Z","title":"and GINSBURG, B., 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.153925Z"},"links":{"cited_paper":"/paper/1708.01715","citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:a1efbe34d76e9b3dc1ebea9700eda83a0ac1dc926228694f6010e5cb7ae04a4e","observation_id":"101a1683-ec4a-4b80-9f0e-68da03f931b6","resolution":{"observed_at":"2026-08-14T12:44:59.153925Z","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":"2026-08-14T12:44:59.526978Z","title":"Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction","venue":null,"work_id":"a78f40b2-b64a-47f5-abfe-7ba64ad9b1c9","year":2009},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.158123Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:3a6ee033fb0f1c44f38c4910d6dc112b73121c6651584406bfdf901a74d092ab","observation_id":"c67f12b5-fabf-4c70-bd6f-7f50213d0f0b","resolution":{"observed_at":"2026-08-14T12:44:59.532279Z","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":"2026-08-14T12:44:59.513387Z","title":"and SHE, J., 2017","venue":null,"work_id":"90b0803f-41e2-4dd9-baa2-67908c43390f","year":2017},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.161853Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:7e2fb2e225bc6bc8bfcb9cd4de9694fdeae6b54a4dff086231feb74155322472","observation_id":"b47ca9a4-d786-4e14-a661-d4936c91dcd6","resolution":{"observed_at":"2026-08-14T12:44:59.518479Z","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":"2026-08-14T12:44:59.497412Z","title":"CCCFNet: a content - boosted collaborative filtering neural network for cross do main recommender systems","venue":null,"work_id":"464c4c06-ee44-42be-a347-e5a2b1eefb20","year":2017},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.165489Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:eb0c27cde5ebbe3fb18e25eda89101965d35f373dbedbb14d21f4c65d12369e4","observation_id":"33d78c54-f70d-44a3-be60-3f55430e0615","resolution":{"observed_at":"2026-08-14T12:44:59.503029Z","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":"2026-08-14T12:44:59.482022Z","title":"Transferable representation learning with deep adaptation networks","venue":null,"work_id":"ea7e3355-9b11-40b1-8472-1c1628d9588a","year":2018},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.169397Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:02997df81095d21b31a63848cc00fa8af8ad1f9bf2e44f64f900b33e5c6e20e1","observation_id":"44822765-5565-4cbd-9e3b-4c1b0adef8a1","resolution":{"observed_at":"2026-08-14T12:44:59.486773Z","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":"2026-08-14T12:44:59.466526Z","title":"Cross -domain collaborative filtering with factorization machines","venue":null,"work_id":"594666fc-6bc4-4450-b690-3557ed7e4912","year":2014},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.173216Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:b0a36d549755448782c1ca7170574fe3e6abf46de9506928feeec74d38d2a53a","observation_id":"84656aba-bc95-4c3e-8abc-aafbd006603c","resolution":{"observed_at":"2026-08-14T12:44:59.471399Z","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":"2026-08-14T12:44:59.453131Z","title":"Cross -Domain Recommendation: An Embedding and Mapping Approach","venue":null,"work_id":"f644fad4-7860-479a-94db-ab8637838b74","year":2017},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.177572Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:025fd9b22caac59d31a0cc6238122828fdbededdbc3869a06187d0e3d6bb53ee","observation_id":"10afd614-9ee5-4498-89ec-a7e5c4bd01e1","resolution":{"observed_at":"2026-08-14T12:44:59.457968Z","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":"1301.3781","last_updated":"2013-09-07T00:30:40Z","snapshot_observed_at":"2026-07-06T03:04:11.148340Z","submitted_at":"2013-01-16T18:24:43Z","title":"Efficient Estimation of Word Representations in Vector Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1301.3781","snapshot_observed_at":"2026-08-14T12:44:59.181450Z","title":"Efficient estimation of word representations in vector space","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.181450Z"},"links":{"cited_paper":"/paper/1301.3781","citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:bfd5a26508436e322c96dd1c4b51e4d045fdd6792b8df326565b293e76d2947e","observation_id":"9721fa56-d405-44f9-980d-085560e167b1","resolution":{"observed_at":"2026-08-14T12:44:59.181450Z","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":"2026-08-14T12:44:59.438991Z","title":"BPR: Bayesian personalized ranking from implicit feedback","venue":null,"work_id":"a7ccd28c-7c39-4f60-ab13-8311ac491fe6","year":2009},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.185590Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:ec844ec458962b13a6e2f241d6ca3c2c7502c55443ad811f5178801791642a01","observation_id":"36eafa2b-58bf-4510-89e3-dca90ffb8615","resolution":{"observed_at":"2026-08-14T12:44:59.443606Z","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":"2026-08-14T12:44:59.422771Z","title":"Autorec: Autoencoders meet collaborative filtering","venue":null,"work_id":"716ae590-6009-4880-a5af-bb23799c4d87","year":2015},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.189381Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:864cfe17af3f47493cb35a39a8c82736faf42e89528c02d7d01a1b310e8367d4","observation_id":"c855350d-0fc5-4a9f-97dd-57a74d2d70de","resolution":{"observed_at":"2026-08-14T12:44:59.427478Z","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":"2026-08-14T12:44:59.409369Z","title":"-J., TANG, J., and WANG, J., 2015","venue":null,"work_id":"f8014d69-2298-4dd2-a6f2-b33889a51556","year":2015},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.193228Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:b1af0f84008110332c2fcb24d1e1fd3e106075a42cae3378f14b76f3309d4cce","observation_id":"bc8d6bf7-35f0-46e4-ac9c-0326f5d785ed","resolution":{"observed_at":"2026-08-14T12:44:59.413598Z","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":"2026-08-14T12:44:59.397578Z","title":"and GORDON, G.J., 2008","venue":null,"work_id":"6ffa077b-609c-4dbc-9ab6-0e3aace048a2","year":2008},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.196991Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:15b654c72259cbf260ce747647336e3691dbbe8ffd9678c49ccdddc2b201dfb1","observation_id":"d38f149d-1851-49cd-ac5d-a306bb4cbb76","resolution":{"observed_at":"2026-08-14T12:44:59.401470Z","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":"2026-08-14T12:44:59.384124Z","title":"Struct ural deep network embedding","venue":null,"work_id":"4f659b27-c3c0-4377-a061-be29b8852675","year":2016},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.200901Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:79dad7e36293d91e0d907da5141ca81e7dbd1f237c8b100e8f2c457be1bcc839","observation_id":"933e1ba7-c60a-4f56-9e5e-e32d6d81bc67","resolution":{"observed_at":"2026-08-14T12:44:59.388684Z","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":"2026-08-14T12:44:59.367741Z","title":"Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation","venue":null,"work_id":"41463a2d-49c5-4c56-b01c-98b8e399790c","year":2018},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.204728Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:502e97a2b0be2f7c21166982a02bd45c01e16c25fe3318869cbf8e438f11b00b","observation_id":"d5ac8907-35f9-44a8-b22f-eb4a5e0b55c8","resolution":{"observed_at":"2026-08-14T12:44:59.372645Z","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":"2026-08-14T12:44:59.352737Z","title":"Collaborative deep learning for recommender systems","venue":null,"work_id":"b8451680-f1b1-4fe0-81ee-59ebe6753dc9","year":2015},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.208796Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:22612cbc8082c7b61609b60729901df16cd04c0dc764cd95677f3ef1cf34b249","observation_id":"0c5d20a1-0658-40f9-a052-42c5aed0c4d9","resolution":{"observed_at":"2026-08-14T12:44:59.358479Z","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":"2026-08-14T12:44:59.331699Z","title":"-Y., 2016","venue":null,"work_id":"ff24b0f7-a645-4a36-841d-df16091880bf","year":2016},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.213253Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:679d7b6ffe3bd1c68f5aca1c108223fbb3ab2fdea4e28dcd527c1cac173c3c4a","observation_id":"099086ff-91ee-456f-b947-1f000854a53a","resolution":{"observed_at":"2026-08-14T12:44:59.336306Z","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":"2026-08-14T12:44:59.318774Z","title":"Unsupervised learning of phase transitions: From principal component analysis to variational autoencoders","venue":null,"work_id":"4cad0b3f-efd0-4666-8054-ee78e8bb3f4e","year":2017},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.217184Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:fe959a1aaf9ff2f900cc050bd9432b496a3624fa584133ba53c0ed5e2472045e","observation_id":"ce0f8f1d-b840-46d0-8b7f-b40fb245b167","resolution":{"observed_at":"2026-08-14T12:44:59.322951Z","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":"2026-08-14T12:44:59.306082Z","title":"Supervised representation learnin g: Transfer learning with deep autoencoders","venue":null,"work_id":"c0b83497-7767-40ba-a026-90e544f9ccb4","year":2015},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.221682Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:840c726a9b87d412e356c7e201fc816148b1f0c60b6647c5a41c04d6a7933466","observation_id":"fcff341d-bc49-42c7-95ee-a2e81299dc54","resolution":{"observed_at":"2026-08-14T12:44:59.310040Z","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":"2026-08-14T12:44:59.665657Z","title":"In Proceedings of the Recommender Systems Handbook (2015), Springer, 919-959","venue":null,"work_id":"707f9dea-9f1c-4f3d-a4a5-dd342e081172","year":2015},"citing_paper":{"arxiv_id":"1908.06583","last_updated":"2019-08-19T04:06:44Z","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:59.101445Z"},"links":{"citing_paper":"/paper/1908.06583"},"observation_digest":"sha256:aa5442dc101c041cbe20e482c43b3c605199bf7890d66b1671bb728cf64e585e","observation_id":"0efa7e45-f261-4e8c-a1d9-ef386b3b468a","resolution":{"observed_at":"2026-08-14T12:44:59.671201Z","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":"1908.06583","last_updated":"2019-08-19T04:06:44Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-16T08:18:07.637191Z","submitted_at":"2019-08-19T04:06:44Z","title":"Latent User Linking for Collaborative Cross Domain Recommendation"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":1,"verified_fuzzy":26},"total_outbound_references":31},"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 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:1908.06583."}