{"as_of":"2026-08-10T21:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:13f86f6280e9bdb911ae1dc80dbec9dc230800a4325def7fd37316f96ffa9f81","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":"2026-08-10T06:31:04.303077+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":"2026-08-08T17:20:36.628288Z","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":"2026-08-08T17:20:36.681101Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.12892","last_updated":"2025-05-16T01:02:49Z","snapshot_observed_at":"2026-08-10T11:55:11.768618Z","submitted_at":"2024-05-21T16:02:06Z","title":"Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation","version":2},"cited_work":{"arxiv_id":"2405.12892","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.12892","snapshot_observed_at":"2026-08-08T17:20:36.681101Z","title":"Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation","venue":"cs.IR","work_id":"6f7ed0f5-5905-4460-b69b-3daf61223687","year":2024},"citing_paper":{"arxiv_id":"2502.08661","last_updated":"2025-02-15T03:49:29Z","snapshot_observed_at":"2026-08-09T02:50:32.707309Z","submitted_at":"2025-02-09T16:43:32Z","title":"Few-shot LLM Synthetic Data with Distribution Matching","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-08T17:20:36.628288Z"},"links":{"cited_paper":"/paper/2405.12892","citing_paper":"/paper/2502.08661"},"observation_digest":"sha256:68a7d87064771cb721c96404e530cb55cf7c1e7e84cfb7c2cde5e9f0fb3b0c4b","observation_id":"4d68e9de-e1a1-4269-af6a-b7720d2861b7","resolution":{"observed_at":"2026-08-08T17:20:36.687057Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.12892","last_updated":"2025-05-16T01:02:49Z","snapshot_observed_at":"2026-08-10T11:55:11.768618Z","submitted_at":"2024-05-21T16:02:06Z","title":"Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.12892","snapshot_observed_at":"2026-08-01T05:25:17.157350Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.27577","last_updated":"2026-07-30T01:41:42Z","snapshot_observed_at":"2026-08-09T04:40:28.022054Z","submitted_at":"2026-07-30T01:41:42Z","title":"Heterogeneous Ranking in Industrial-Scale Recommender Systems: A Case Study","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T05:25:17.157350Z"},"links":{"cited_paper":"/paper/2405.12892","citing_paper":"/paper/2607.27577"},"observation_digest":"sha256:42f301df8dc5d1f52a78d968c6087cc4534aa7061458b72b1395c2ec42147963","observation_id":"ded31c99-ff14-4e7e-a8b9-7a64fd9454f4","resolution":{"observed_at":"2026-08-01T05:25:17.157350Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2405.12892/citation-record","integrity":"/paper/2405.12892/integrity","json":"/paper/2405.12892/citation-record.json","paper":"/paper/2405.12892"},"outbound":[],"paper":{"arxiv_id":"2405.12892","last_updated":"2025-05-16T01:02:49Z","latest_version":2,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-10T11:55:11.768618Z","submitted_at":"2024-05-21T16:02:06Z","title":"Retrievable Domain-Sensitive Feature Memory for Multi-Domain 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.12892."}