{"as_of":"2026-08-07T19:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2d0a6b4cdf43e8294242364302f9284ebd547cd3dc837e9b024d006cbb456d5b","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:18:00.696572Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T16:37:09.023820Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.13286","last_updated":"2019-09-19T13:50:40Z","snapshot_observed_at":"2026-08-04T00:15:35.183383Z","submitted_at":"2019-07-31T02:23:52Z","title":"The Unfairness of Popularity Bias in Recommendation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.13286","snapshot_observed_at":"2026-08-07T05:18:00.696572Z","title":"arXiv preprint arXiv:1907.13286 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.08382","last_updated":"2025-06-10T02:46:05Z","snapshot_observed_at":"2026-08-07T05:09:55.686194Z","submitted_at":"2025-06-10T02:46:05Z","title":"NAM: A Normalization Attention Model for Personalized Product Search In Fliggy","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:00.696572Z"},"links":{"cited_paper":"/paper/1907.13286","citing_paper":"/paper/2506.08382"},"observation_digest":"sha256:d39d8bc2568cec08b725a5d34e32d1fa89efd0dbfc7a7e3578aa65fa8a97e8de","observation_id":"17899d25-2495-4698-835e-bcfbbe22611c","resolution":{"observed_at":"2026-08-07T05:18:00.696572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.13286","last_updated":"2019-09-19T13:50:40Z","snapshot_observed_at":"2026-08-04T00:15:35.183383Z","submitted_at":"2019-07-31T02:23:52Z","title":"The Unfairness of Popularity Bias in Recommendation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.13286","snapshot_observed_at":"2026-08-06T21:56:22.068174Z","title":"arXiv preprint arXiv:1907.13286 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.23090","last_updated":"2025-07-09T09:50:43Z","snapshot_observed_at":"2026-08-07T08:34:23.676501Z","submitted_at":"2025-06-29T05:05:13Z","title":"Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T21:56:22.068174Z"},"links":{"cited_paper":"/paper/1907.13286","citing_paper":"/paper/2506.23090"},"observation_digest":"sha256:ab920b367fbb641a91a53c78889545c233146efc555be68499aeeebb8c6c9294","observation_id":"09f5c01c-8c0a-4d14-8ce1-0cd9e9a5e447","resolution":{"observed_at":"2026-08-06T21:56:22.068174Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.13286","last_updated":"2019-09-19T13:50:40Z","snapshot_observed_at":"2026-08-04T00:15:35.183383Z","submitted_at":"2019-07-31T02:23:52Z","title":"The Unfairness of Popularity Bias in Recommendation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.13286","snapshot_observed_at":"2026-08-06T20:13:47.417029Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.03503","last_updated":"2025-07-13T15:49:31Z","snapshot_observed_at":"2026-08-06T20:05:53.862382Z","submitted_at":"2025-07-04T11:56:11Z","title":"Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T20:13:47.417029Z"},"links":{"cited_paper":"/paper/1907.13286","citing_paper":"/paper/2507.03503"},"observation_digest":"sha256:5e07cd568aebe074f778462c60bfafab095ada0c86440b58fc760cbcdc467131","observation_id":"a7a1767f-0df1-4219-b43e-90ff7640f5ae","resolution":{"observed_at":"2026-08-06T20:13:47.417029Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.13286","last_updated":"2019-09-19T13:50:40Z","snapshot_observed_at":"2026-08-04T00:15:35.183383Z","submitted_at":"2019-07-31T02:23:52Z","title":"The Unfairness of Popularity Bias in Recommendation","version":3},"cited_work":{"arxiv_id":"1907.13286","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1907.13286","snapshot_observed_at":"2026-07-02T16:37:09.023820Z","title":"The unfairness of popularity bias in recommendation.arXiv preprint arXiv:1907.13286, 2019","venue":null,"work_id":"e1ad8f43-0e09-4381-af9e-c0e31c615923","year":1907},"citing_paper":{"arxiv_id":"2604.21750","last_updated":"2026-04-23T14:59:54Z","snapshot_observed_at":"2026-07-06T23:08:19.446684Z","submitted_at":"2026-04-23T14:59:54Z","title":"Multistakeholder Impacts of Profile Portability in a Recommender Ecosystem","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-09T20:06:10.248606Z"},"links":{"cited_paper":"/paper/1907.13286","citing_paper":"/paper/2604.21750"},"observation_digest":"sha256:ec27558c0fa04dcdafbb4f65f25f9b4c180987de9f844b9988a89b95fea05c68","observation_id":"b457b7f9-31af-4f72-8cd9-044d272b9e9c","resolution":{"observed_at":"2026-05-11T15:26:06.722065Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.13286","last_updated":"2019-09-19T13:50:40Z","snapshot_observed_at":"2026-08-04T00:15:35.183383Z","submitted_at":"2019-07-31T02:23:52Z","title":"The Unfairness of Popularity Bias in Recommendation","version":3},"cited_work":{"arxiv_id":"1907.13286","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1907.13286","snapshot_observed_at":"2026-07-02T16:37:09.023820Z","title":"The unfairness of popularity bias in recommendation.arXiv preprint arXiv:1907.13286, 2019","venue":null,"work_id":"e1ad8f43-0e09-4381-af9e-c0e31c615923","year":1907},"citing_paper":{"arxiv_id":"2605.21752","last_updated":"2026-05-20T21:25:41Z","snapshot_observed_at":"2026-07-06T23:32:10.472558Z","submitted_at":"2026-05-20T21:25:41Z","title":"PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-22T09:41:35.605157Z"},"links":{"cited_paper":"/paper/1907.13286","citing_paper":"/paper/2605.21752"},"observation_digest":"sha256:78cf2762750d514802a2ef153d864d68852dea0ba1c1228f715247e10bad2e52","observation_id":"ffc13c78-bea9-4053-a197-7cfcc08f92fe","resolution":{"observed_at":"2026-05-22T09:44:46.027006Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.13286","last_updated":"2019-09-19T13:50:40Z","snapshot_observed_at":"2026-08-04T00:15:35.183383Z","submitted_at":"2019-07-31T02:23:52Z","title":"The Unfairness of Popularity Bias in Recommendation","version":3},"cited_work":{"arxiv_id":"1907.13286","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1907.13286","snapshot_observed_at":"2026-07-02T16:37:09.023820Z","title":"The unfairness of popularity bias in recommendation.arXiv preprint arXiv:1907.13286, 2019","venue":null,"work_id":"e1ad8f43-0e09-4381-af9e-c0e31c615923","year":1907},"citing_paper":{"arxiv_id":"2606.00282","last_updated":"2026-05-29T19:17:50Z","snapshot_observed_at":"2026-08-06T12:42:40.980750Z","submitted_at":"2026-05-29T19:17:50Z","title":"Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-06-28T20:34:38.729275Z"},"links":{"cited_paper":"/paper/1907.13286","citing_paper":"/paper/2606.00282"},"observation_digest":"sha256:8add6eee1f7382e40c6dc0b2e76c3b99ed7407b83abcb859036300d2eb12091a","observation_id":"885b4df4-2ceb-481f-827a-c6b4911c735a","resolution":{"observed_at":"2026-06-28T20:42:37.306170Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.13286","last_updated":"2019-09-19T13:50:40Z","snapshot_observed_at":"2026-08-04T00:15:35.183383Z","submitted_at":"2019-07-31T02:23:52Z","title":"The Unfairness of Popularity Bias in Recommendation","version":3},"cited_work":{"arxiv_id":"1907.13286","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1907.13286","snapshot_observed_at":"2026-07-02T16:37:09.023820Z","title":"The unfairness of popularity bias in recommendation.arXiv preprint arXiv:1907.13286, 2019","venue":null,"work_id":"e1ad8f43-0e09-4381-af9e-c0e31c615923","year":1907},"citing_paper":{"arxiv_id":"2607.00258","last_updated":"2026-06-30T23:11:53Z","snapshot_observed_at":"2026-08-07T03:49:21.904619Z","submitted_at":"2026-06-30T23:11:53Z","title":"Joint Effects of Recommender Systems and Network Structure on the Visibility of Content and Creators","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-02T16:34:32.588240Z"},"links":{"cited_paper":"/paper/1907.13286","citing_paper":"/paper/2607.00258"},"observation_digest":"sha256:f959fe824c16c5cad7c52ebb796c6d695f70c795221291a784c668b8a4ab2cab","observation_id":"6100b295-bbda-4f68-96fd-299b0295372f","resolution":{"observed_at":"2026-07-02T16:37:09.025413Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.13286","last_updated":"2019-09-19T13:50:40Z","snapshot_observed_at":"2026-08-04T00:15:35.183383Z","submitted_at":"2019-07-31T02:23:52Z","title":"The Unfairness of Popularity Bias in Recommendation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.13286","snapshot_observed_at":"2026-08-05T20:03:01.570704Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.03382","last_updated":"2026-08-04T09:31:44Z","snapshot_observed_at":"2026-08-07T19:12:03.264211Z","submitted_at":"2026-08-04T09:31:44Z","title":"LLM-Derived Priors for Thompson Sampling in Cold-Start Comment Recommendation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T20:03:01.570704Z"},"links":{"cited_paper":"/paper/1907.13286","citing_paper":"/paper/2608.03382"},"observation_digest":"sha256:58bb43105a44eb1ed00f9b4459bd49f193f5239d246862395928693492e0fd07","observation_id":"7f56d2b6-1651-418e-9feb-51401612c704","resolution":{"observed_at":"2026-08-05T20:03:01.570704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1907.13286/citation-record","integrity":"/paper/1907.13286/integrity","json":"/paper/1907.13286/citation-record.json","paper":"/paper/1907.13286"},"outbound":[],"paper":{"arxiv_id":"1907.13286","last_updated":"2019-09-19T13:50:40Z","latest_version":3,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-04T00:15:35.183383Z","submitted_at":"2019-07-31T02:23:52Z","title":"The Unfairness of Popularity Bias in Recommendation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1907.13286."}