{"as_of":"2026-08-10T14:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f938ae5a08af7eb4e43e448511709ed47cc74d7ee9e5159f6f3792849d8d8dae","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T12:57:13.383056Z","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":"2026-07-01T17:55:51.414456Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.16755","last_updated":"2024-10-22T07:20:37Z","snapshot_observed_at":"2026-08-09T16:03:49.068402Z","submitted_at":"2024-10-22T07:20:37Z","title":"Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.16755","snapshot_observed_at":"2026-08-09T12:57:13.383056Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02232","last_updated":"2025-02-04T11:19:47Z","snapshot_observed_at":"2026-08-10T08:06:42.749863Z","submitted_at":"2025-02-04T11:19:47Z","title":"Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T12:57:13.383056Z"},"links":{"cited_paper":"/paper/2410.16755","citing_paper":"/paper/2502.02232"},"observation_digest":"sha256:99bab86834a983f596019b5447d2047f824a22970595b63c2588c41281a21d1f","observation_id":"7c792ea5-8295-4506-ab09-e67c62911460","resolution":{"observed_at":"2026-08-09T12:57:13.383056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16755","last_updated":"2024-10-22T07:20:37Z","snapshot_observed_at":"2026-08-09T16:03:49.068402Z","submitted_at":"2024-10-22T07:20:37Z","title":"Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation","version":1},"cited_work":{"arxiv_id":"2410.16755","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.16755","snapshot_observed_at":"2026-07-01T17:55:51.414456Z","title":null,"venue":null,"work_id":"759cc461-a664-4140-a0fb-55c9fc421cb7","year":2024},"citing_paper":{"arxiv_id":"2606.27865","last_updated":"2026-06-26T09:06:04Z","snapshot_observed_at":"2026-08-01T15:37:44.932033Z","submitted_at":"2026-06-26T09:06:04Z","title":"From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-29T02:56:52.303152Z"},"links":{"cited_paper":"/paper/2410.16755","citing_paper":"/paper/2606.27865"},"observation_digest":"sha256:e1de08f63f8f82c293b711e9d2a3a733b22da25f3a49c7d862226270d54e29ca","observation_id":"2dd8256d-d12a-42f7-9702-f90b4550dd97","resolution":{"observed_at":"2026-07-01T17:55:51.415815Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16755","last_updated":"2024-10-22T07:20:37Z","snapshot_observed_at":"2026-08-09T16:03:49.068402Z","submitted_at":"2024-10-22T07:20:37Z","title":"Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation","version":1},"cited_work":{"arxiv_id":"2410.16755","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.16755","snapshot_observed_at":"2026-07-01T17:55:51.414456Z","title":null,"venue":null,"work_id":"759cc461-a664-4140-a0fb-55c9fc421cb7","year":2024},"citing_paper":{"arxiv_id":"2606.30932","last_updated":"2026-06-29T21:34:37Z","snapshot_observed_at":"2026-08-02T14:08:27.094789Z","submitted_at":"2026-06-29T21:34:37Z","title":"Personalizing Marketplace Policies with Competing Objectives and Constrained Experiments: Evidence from a Job Marketplace","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-01T06:18:50.063428Z"},"links":{"cited_paper":"/paper/2410.16755","citing_paper":"/paper/2606.30932"},"observation_digest":"sha256:7d432015609911f5ecac27013213f95dcb43cfc33deb381bd3180309f3be2b89","observation_id":"6f180ad7-02e3-453c-91ae-461e6811bf81","resolution":{"observed_at":"2026-07-01T09:45:39.792930Z","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/2410.16755/citation-record","integrity":"/paper/2410.16755/integrity","json":"/paper/2410.16755/citation-record.json","paper":"/paper/2410.16755"},"outbound":[],"paper":{"arxiv_id":"2410.16755","last_updated":"2024-10-22T07:20:37Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-09T16:03:49.068402Z","submitted_at":"2024-10-22T07:20:37Z","title":"Coarse-to-fine Dynamic Uplift Modeling for Real-time Video 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 3 inbound Pith citation observations for arXiv:2410.16755."}