{"as_of":"2026-08-12T17:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c050ad198f80096537a1bea1b2b32bee9962276caaef37c12d184a1d31ca72fe","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T20:07:16.901621Z","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":"2026-06-30T14:24:44.958908Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2209.10117","last_updated":"2022-09-21T04:34:17Z","snapshot_observed_at":"2026-07-06T13:54:33.476578Z","submitted_at":"2022-09-21T04:34:17Z","title":"A Comprehensive Survey on Trustworthy Recommender Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.10117","snapshot_observed_at":"2026-08-11T20:07:16.901621Z","title":"A comprehensive survey on trustworthy recommender systems,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.06069","last_updated":"2024-12-08T21:14:57Z","snapshot_observed_at":"2026-08-12T09:45:07.569416Z","submitted_at":"2024-12-08T21:14:57Z","title":"Fuzzy Norm-Explicit Product Quantization for Recommender Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T20:07:16.901621Z"},"links":{"cited_paper":"/paper/2209.10117","citing_paper":"/paper/2412.06069"},"observation_digest":"sha256:0a4ad52c4c97dbb8b3487e5f1b3b427c026497971e48a609a81bc4b3115f07ce","observation_id":"db8a7365-8574-4ac8-8401-78a7267017fb","resolution":{"observed_at":"2026-08-11T20:07:16.901621Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.10117","last_updated":"2022-09-21T04:34:17Z","snapshot_observed_at":"2026-07-06T13:54:33.476578Z","submitted_at":"2022-09-21T04:34:17Z","title":"A Comprehensive Survey on Trustworthy Recommender Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.10117","snapshot_observed_at":"2026-08-11T10:42:35.396569Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.16382","last_updated":"2025-02-26T23:46:31Z","snapshot_observed_at":"2026-08-11T22:18:37.342998Z","submitted_at":"2024-12-20T22:36:19Z","title":"EMPRA: Embedding Perturbation Rank Attack against Neural Ranking Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T10:42:35.396569Z"},"links":{"cited_paper":"/paper/2209.10117","citing_paper":"/paper/2412.16382"},"observation_digest":"sha256:4749b961466a7f61799c8674ef8893c1953363cd81285ee8f86cd6a9b841f737","observation_id":"f39eed30-7d93-4cba-bf09-77edc60534da","resolution":{"observed_at":"2026-08-11T10:42:35.396569Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.10117","last_updated":"2022-09-21T04:34:17Z","snapshot_observed_at":"2026-07-06T13:54:33.476578Z","submitted_at":"2022-09-21T04:34:17Z","title":"A Comprehensive Survey on Trustworthy Recommender Systems","version":1},"cited_work":{"arxiv_id":"2209.10117","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.10117","snapshot_observed_at":"2026-06-30T14:24:44.958908Z","title":"A comprehensive survey on trustworthy recommender systems,","venue":null,"work_id":"a8b6382b-52d6-4938-a171-ebc514a53eb7","year":2022},"citing_paper":{"arxiv_id":"2604.20065","last_updated":"2026-04-22T00:04:47Z","snapshot_observed_at":"2026-07-06T23:06:35.507008Z","submitted_at":"2026-04-22T00:04:47Z","title":"From Hidden Profiles to Governable Personalization: Recommender Systems in the Age of LLM Agents","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T00:04:09.185814Z"},"links":{"cited_paper":"/paper/2209.10117","citing_paper":"/paper/2604.20065"},"observation_digest":"sha256:2c391afb2677ecd736aa543a1c79ed8f2dc3472f406869afbd99435c94ebcb7c","observation_id":"433f5348-16a0-4615-a4d4-aa5a35e38438","resolution":{"observed_at":"2026-05-10T00:29:47.604541Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.10117","last_updated":"2022-09-21T04:34:17Z","snapshot_observed_at":"2026-07-06T13:54:33.476578Z","submitted_at":"2022-09-21T04:34:17Z","title":"A Comprehensive Survey on Trustworthy Recommender Systems","version":1},"cited_work":{"arxiv_id":"2209.10117","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.10117","snapshot_observed_at":"2026-06-30T14:24:44.958908Z","title":"A comprehensive survey on trustworthy recommender systems,","venue":null,"work_id":"a8b6382b-52d6-4938-a171-ebc514a53eb7","year":2022},"citing_paper":{"arxiv_id":"2606.00540","last_updated":"2026-05-30T05:14:53Z","snapshot_observed_at":"2026-08-01T17:48:34.431096Z","submitted_at":"2026-05-30T05:14:53Z","title":"Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-28T18:41:06.636352Z"},"links":{"cited_paper":"/paper/2209.10117","citing_paper":"/paper/2606.00540"},"observation_digest":"sha256:145a9b31d01e98c3861ec7880b5e2e37e7d541d6fe98419dbc7b441d204cf9a2","observation_id":"2a61e1cb-2045-46ce-8b79-9419c3cfa436","resolution":{"observed_at":"2026-06-28T18:42:29.131235Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.10117","last_updated":"2022-09-21T04:34:17Z","snapshot_observed_at":"2026-07-06T13:54:33.476578Z","submitted_at":"2022-09-21T04:34:17Z","title":"A Comprehensive Survey on Trustworthy Recommender Systems","version":1},"cited_work":{"arxiv_id":"2209.10117","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.10117","snapshot_observed_at":"2026-06-30T14:24:44.958908Z","title":"A comprehensive survey on trustworthy recommender systems,","venue":null,"work_id":"a8b6382b-52d6-4938-a171-ebc514a53eb7","year":2022},"citing_paper":{"arxiv_id":"2606.07553","last_updated":"2026-05-23T13:29:45Z","snapshot_observed_at":"2026-08-10T02:41:37.022797Z","submitted_at":"2026-05-23T13:29:45Z","title":"MedicalRec: Medical recommender system for image classification without retraining","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T14:19:53.500581Z"},"links":{"cited_paper":"/paper/2209.10117","citing_paper":"/paper/2606.07553"},"observation_digest":"sha256:4064dedba6cb960790403482a8605759f4292085115b8f909108bae5aee60b87","observation_id":"ebcbaa7a-69ca-499c-8c3c-770c10e0e4bb","resolution":{"observed_at":"2026-06-30T14:24:44.960238Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2209.10117/citation-record","integrity":"/paper/2209.10117/integrity","json":"/paper/2209.10117/citation-record.json","paper":"/paper/2209.10117"},"outbound":[],"paper":{"arxiv_id":"2209.10117","last_updated":"2022-09-21T04:34:17Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-07-06T13:54:33.476578Z","submitted_at":"2022-09-21T04:34:17Z","title":"A Comprehensive Survey on Trustworthy Recommender Systems"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2209.10117."}