{"as_of":"2026-08-15T02:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1e5ba28bb8c1425998442520f5bb325ce5a9ba875f9a32b1ee0667a5790aafd8","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T15:20:10.069914Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T00:47:58.743161Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.05508","last_updated":"2023-08-14T01:48:12Z","snapshot_observed_at":"2026-08-13T10:37:18.465429Z","submitted_at":"2023-08-10T11:41:34Z","title":"Multi-domain Recommendation with Embedding Disentangling and Domain Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.05508","snapshot_observed_at":"2026-08-10T15:20:10.069914Z","title":"arXiv preprint arXiv:2308.05508 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.14268","last_updated":"2025-01-24T06:18:12Z","snapshot_observed_at":"2026-08-13T13:32:26.028054Z","submitted_at":"2025-01-24T06:18:12Z","title":"Pre-train and Fine-tune: Recommenders as Large Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T15:20:10.069914Z"},"links":{"cited_paper":"/paper/2308.05508","citing_paper":"/paper/2501.14268"},"observation_digest":"sha256:7bab35e27b7bcbb571b3cb5f7218acb309ff02acee63875615acab176668d81c","observation_id":"288ae29b-5bc5-4fc5-bf77-a268a67809a3","resolution":{"observed_at":"2026-08-10T15:20:10.069914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.05508","last_updated":"2023-08-14T01:48:12Z","snapshot_observed_at":"2026-08-13T10:37:18.465429Z","submitted_at":"2023-08-10T11:41:34Z","title":"Multi-domain Recommendation with Embedding Disentangling and Domain Alignment","version":2},"cited_work":{"arxiv_id":"2308.05508","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.05508","snapshot_observed_at":"2026-08-07T00:47:58.743161Z","title":"Multi-domain Recommendation with Embedding Disentangling and Domain Alignment","venue":"cs.IR","work_id":"7a99cff4-c6c2-4fc7-9d97-6321f677282a","year":2023},"citing_paper":{"arxiv_id":"2506.12700","last_updated":"2025-06-15T03:21:10Z","snapshot_observed_at":"2026-08-14T18:11:26.101612Z","submitted_at":"2025-06-15T03:21:10Z","title":"Large Scalable Cross-Domain Graph Neural Networks for Personalized Notification at LinkedIn","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T00:47:58.662464Z"},"links":{"cited_paper":"/paper/2308.05508","citing_paper":"/paper/2506.12700"},"observation_digest":"sha256:46e7e337e0f153ae374730f3d3ef76805b0ee8e35773669e441407c60b7b643b","observation_id":"e131f90f-3d8f-488e-b6ed-5eda7d9536fc","resolution":{"observed_at":"2026-08-07T00:47:58.746590Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2308.05508/citation-record","integrity":"/paper/2308.05508/integrity","json":"/paper/2308.05508/citation-record.json","paper":"/paper/2308.05508"},"outbound":[],"paper":{"arxiv_id":"2308.05508","last_updated":"2023-08-14T01:48:12Z","latest_version":2,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-13T10:37:18.465429Z","submitted_at":"2023-08-10T11:41:34Z","title":"Multi-domain Recommendation with Embedding Disentangling and Domain Alignment"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.05508."}