{"as_of":"2026-08-10T08:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b22b3b9d67f6cf4744b55858dcb8a91418f0d144de9ccade01a95016028e9ae0","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":"2026-08-07T00:23:18.800942Z","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":"2026-05-10T10:09:06.525234Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.19862","last_updated":"2024-11-29T17:25:00Z","snapshot_observed_at":"2026-08-07T03:56:56.809940Z","submitted_at":"2024-11-29T17:25:00Z","title":"Cross-Domain Recommendation Meets Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.19862","snapshot_observed_at":"2026-08-07T00:23:18.800942Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14231","last_updated":"2025-06-17T06:38:46Z","snapshot_observed_at":"2026-08-09T12:13:59.023151Z","submitted_at":"2025-06-17T06:38:46Z","title":"ImpReSS: Implicit Recommender System for Support Conversations","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T00:23:18.800942Z"},"links":{"cited_paper":"/paper/2411.19862","citing_paper":"/paper/2506.14231"},"observation_digest":"sha256:dbb264e4fdc54305b9fffd6d6f33ff29e800160a6fcda41e4a8499e4989d7454","observation_id":"64dd4bda-8962-4bdd-be32-32d43287f6ca","resolution":{"observed_at":"2026-08-07T00:23:18.800942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.19862","last_updated":"2024-11-29T17:25:00Z","snapshot_observed_at":"2026-08-07T03:56:56.809940Z","submitted_at":"2024-11-29T17:25:00Z","title":"Cross-Domain Recommendation Meets Large Language Models","version":1},"cited_work":{"arxiv_id":"2411.19862","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.19862","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Cross-domain recommendation meets large language models","venue":null,"work_id":"f1965aa0-5274-4ac6-8711-3a4e6c11a967","year":null},"citing_paper":{"arxiv_id":"2604.14833","last_updated":"2026-04-16T10:10:16Z","snapshot_observed_at":"2026-07-30T04:57:11.442041Z","submitted_at":"2026-04-16T10:10:16Z","title":"Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T10:08:51.386465Z"},"links":{"cited_paper":"/paper/2411.19862","citing_paper":"/paper/2604.14833"},"observation_digest":"sha256:9f5219b15353a550e4924fc8862e6e11b7edf869eb7a4f6b5674972db366a177","observation_id":"88381f10-9fb1-416c-ae1b-1943ae5742ee","resolution":{"observed_at":"2026-05-10T10:09:06.527857Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2411.19862/citation-record","integrity":"/paper/2411.19862/integrity","json":"/paper/2411.19862/citation-record.json","paper":"/paper/2411.19862"},"outbound":[],"paper":{"arxiv_id":"2411.19862","last_updated":"2024-11-29T17:25:00Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-07T03:56:56.809940Z","submitted_at":"2024-11-29T17:25:00Z","title":"Cross-Domain Recommendation Meets Large Language Models"},"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:2411.19862."}