{"as_of":"2026-08-08T20:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fefed57b4e32b186f0f689322d91c703c195d23e767bc377e627f1866c70457b","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T13:30:27.895907Z","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":"2026-06-28T20:42:37.299503Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2103.01696","last_updated":"2021-03-02T12:58:08Z","snapshot_observed_at":"2026-07-06T10:46:01.808404Z","submitted_at":"2021-03-02T12:58:08Z","title":"Cross-Domain Recommendation: Challenges, Progress, and Prospects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.01696","snapshot_observed_at":"2026-08-07T13:30:27.895907Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.21811","last_updated":"2025-05-27T22:38:32Z","snapshot_observed_at":"2026-08-07T13:20:32.401066Z","submitted_at":"2025-05-27T22:38:32Z","title":"Revisiting Self-attention for Cross-domain Sequential Recommendation","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T13:30:27.895907Z"},"links":{"cited_paper":"/paper/2103.01696","citing_paper":"/paper/2505.21811"},"observation_digest":"sha256:2da1d4bbb0733620c29154ab52bcdc5453c0437c265d45b9a334d4fbdd751153","observation_id":"60941560-769e-4554-958d-4381c5357ea5","resolution":{"observed_at":"2026-08-07T13:30:27.895907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01696","last_updated":"2021-03-02T12:58:08Z","snapshot_observed_at":"2026-07-06T10:46:01.808404Z","submitted_at":"2021-03-02T12:58:08Z","title":"Cross-Domain Recommendation: Challenges, Progress, and Prospects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.01696","snapshot_observed_at":"2026-08-06T16:21:59.825433Z","title":"arXiv preprint arXiv:2103.01696 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.21120","last_updated":"2025-07-18T09:53:03Z","snapshot_observed_at":"2026-08-06T16:14:19.593803Z","submitted_at":"2025-07-18T09:53:03Z","title":"Affect-aware Cross-Domain Recommendation for Art Therapy via Music Preference Elicitation","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T16:21:59.825433Z"},"links":{"cited_paper":"/paper/2103.01696","citing_paper":"/paper/2507.21120"},"observation_digest":"sha256:cf35d56c954283752aef83548b534c512a3be22375a89597fbb5e2460f2f8a1e","observation_id":"d966e3c8-ba78-4113-9355-fbb752d4f1ea","resolution":{"observed_at":"2026-08-06T16:21:59.825433Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01696","last_updated":"2021-03-02T12:58:08Z","snapshot_observed_at":"2026-07-06T10:46:01.808404Z","submitted_at":"2021-03-02T12:58:08Z","title":"Cross-Domain Recommendation: Challenges, Progress, and Prospects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.01696","snapshot_observed_at":"2026-08-05T14:24:24.858493Z","title":"Cross-domain recommendation: challenges, progress, and prospects","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.21354","last_updated":"2025-08-29T06:40:52Z","snapshot_observed_at":"2026-08-05T14:24:20.177683Z","submitted_at":"2025-08-29T06:40:52Z","title":"Evaluating Recabilities of Foundation Models: A Multi-Domain, Multi-Dataset Benchmark","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-05T14:24:24.858493Z"},"links":{"cited_paper":"/paper/2103.01696","citing_paper":"/paper/2508.21354"},"observation_digest":"sha256:1c78485c14d1ab24bf402c4a30f0295f7e42d1445181f39394f067e606d71d9d","observation_id":"4e87e01f-a252-41e5-98a9-84c7adacf045","resolution":{"observed_at":"2026-08-05T14:24:24.858493Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01696","last_updated":"2021-03-02T12:58:08Z","snapshot_observed_at":"2026-07-06T10:46:01.808404Z","submitted_at":"2021-03-02T12:58:08Z","title":"Cross-Domain Recommendation: Challenges, Progress, and Prospects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.01696","snapshot_observed_at":"2026-08-05T11:19:54.314676Z","title":"arXiv preprint arXiv:2103.01696 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.02942","last_updated":"2025-09-03T02:16:50Z","snapshot_observed_at":"2026-08-08T15:39:54.110609Z","submitted_at":"2025-09-03T02:16:50Z","title":"RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-05T11:19:54.314676Z"},"links":{"cited_paper":"/paper/2103.01696","citing_paper":"/paper/2509.02942"},"observation_digest":"sha256:1d9fa2d92bc0eef94e223e3296783817627f22d22694822d8a6b599326bd795f","observation_id":"4187f45c-7c88-40da-959c-52ba6953b071","resolution":{"observed_at":"2026-08-05T11:19:54.314676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01696","last_updated":"2021-03-02T12:58:08Z","snapshot_observed_at":"2026-07-06T10:46:01.808404Z","submitted_at":"2021-03-02T12:58:08Z","title":"Cross-Domain Recommendation: Challenges, Progress, and Prospects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.01696","snapshot_observed_at":"2026-07-15T13:29:23.443771Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2603.07086","last_updated":"2026-06-01T03:50:17Z","snapshot_observed_at":"2026-08-05T03:21:02.529499Z","submitted_at":"2026-03-07T07:48:10Z","title":"Multi-TAP: Multi-criteria Target Adaptive Persona Modeling for Cross-Domain Recommendation","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-07-15T13:29:23.443771Z"},"links":{"cited_paper":"/paper/2103.01696","citing_paper":"/paper/2603.07086"},"observation_digest":"sha256:1ea5cc0178ed778d406759eba33ba203589059410db569ecb745000d5442d983","observation_id":"3cb2eaec-6ace-4efb-9602-95fb625ac42c","resolution":{"observed_at":"2026-07-15T13:29:23.443771Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01696","last_updated":"2021-03-02T12:58:08Z","snapshot_observed_at":"2026-07-06T10:46:01.808404Z","submitted_at":"2021-03-02T12:58:08Z","title":"Cross-Domain Recommendation: Challenges, Progress, and Prospects","version":1},"cited_work":{"arxiv_id":"2103.01696","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.01696","snapshot_observed_at":"2026-06-28T20:42:37.299503Z","title":"arXiv preprint arXiv:2103.01696 , year=","venue":null,"work_id":"4a38f975-fc38-4b5e-b220-f30ecf874818","year":2021},"citing_paper":{"arxiv_id":"2604.09551","last_updated":"2026-01-30T09:07:06Z","snapshot_observed_at":"2026-08-02T18:01:38.119431Z","submitted_at":"2026-01-30T09:07:06Z","title":"SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-16T09:42:46.410740Z"},"links":{"cited_paper":"/paper/2103.01696","citing_paper":"/paper/2604.09551"},"observation_digest":"sha256:241bc3b0511a4d9712282be5b186cc3571b58fc17ed6c464b2044f60f56553b1","observation_id":"38ceb273-8ffc-4bbb-bd0c-46de7128cb75","resolution":{"observed_at":"2026-05-16T09:47:41.989311Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01696","last_updated":"2021-03-02T12:58:08Z","snapshot_observed_at":"2026-07-06T10:46:01.808404Z","submitted_at":"2021-03-02T12:58:08Z","title":"Cross-Domain Recommendation: Challenges, Progress, and Prospects","version":1},"cited_work":{"arxiv_id":"2103.01696","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.01696","snapshot_observed_at":"2026-06-28T20:42:37.299503Z","title":"arXiv preprint arXiv:2103.01696 , year=","venue":null,"work_id":"4a38f975-fc38-4b5e-b220-f30ecf874818","year":2021},"citing_paper":{"arxiv_id":"2604.17259","last_updated":"2026-04-19T04:45:48Z","snapshot_observed_at":"2026-07-06T23:04:23.730478Z","submitted_at":"2026-04-19T04:45:48Z","title":"HORIZON: A Benchmark for In-the-wild User Behaviour Modeling","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-05-10T06:20:09.673128Z"},"links":{"cited_paper":"/paper/2103.01696","citing_paper":"/paper/2604.17259"},"observation_digest":"sha256:e939d5ed2fe1b0b93747d9c269627f6f1449b407b94331df9f83e019b0aca346","observation_id":"a15354cd-f897-4543-b2c5-474229f9567c","resolution":{"observed_at":"2026-05-10T06:21:26.912894Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01696","last_updated":"2021-03-02T12:58:08Z","snapshot_observed_at":"2026-07-06T10:46:01.808404Z","submitted_at":"2021-03-02T12:58:08Z","title":"Cross-Domain Recommendation: Challenges, Progress, and Prospects","version":1},"cited_work":{"arxiv_id":"2103.01696","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.01696","snapshot_observed_at":"2026-06-28T20:42:37.299503Z","title":"arXiv preprint arXiv:2103.01696 , year=","venue":null,"work_id":"4a38f975-fc38-4b5e-b220-f30ecf874818","year":2021},"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":12,"source":"arxiv_source","source_observed_at":"2026-06-28T20:34:38.729275Z"},"links":{"cited_paper":"/paper/2103.01696","citing_paper":"/paper/2606.00282"},"observation_digest":"sha256:7e826b5d990ec99530a9ae7602517043c656565694dc82dc514730be3a4abdba","observation_id":"158bc820-91f1-4f85-8fbe-015eb9d3b3b6","resolution":{"observed_at":"2026-06-28T20:42:37.301413Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2103.01696/citation-record","integrity":"/paper/2103.01696/integrity","json":"/paper/2103.01696/citation-record.json","paper":"/paper/2103.01696"},"outbound":[],"paper":{"arxiv_id":"2103.01696","last_updated":"2021-03-02T12:58:08Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-07-06T10:46:01.808404Z","submitted_at":"2021-03-02T12:58:08Z","title":"Cross-Domain Recommendation: Challenges, Progress, and Prospects"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2103.01696."}