{"as_of":"2026-08-08T17:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c3949d321e4b47378d080e6f8a38781fbd521ad84ff2c1f4085349ea40cdb2a8","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T23:49:40.391209Z","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":"2026-08-06T23:49:42.718778Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2205.12406","last_updated":"2022-05-24T23:28:56Z","snapshot_observed_at":"2026-08-04T08:05:47.919347Z","submitted_at":"2022-05-24T23:28:56Z","title":"Multi-Head Online Learning for Delayed Feedback Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.12406","snapshot_observed_at":"2026-08-01T02:39:21.673953Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25404","last_updated":"2026-07-28T08:02:41Z","snapshot_observed_at":"2026-08-05T18:28:21.689206Z","submitted_at":"2026-07-28T08:02:41Z","title":"TWICE: Two-Clock, Two-Window Learning for Long-Horizon Conversion Prediction in Online Advertising","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T02:39:21.673953Z"},"links":{"cited_paper":"/paper/2205.12406","citing_paper":"/paper/2607.25404"},"observation_digest":"sha256:e0b4974a7ae5ab34149ce51a754090efc9908d4f379c8e788888c9826f0e4de6","observation_id":"1c50add2-7774-4982-99b6-6bc79dca690e","resolution":{"observed_at":"2026-08-01T02:39:21.673953Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.12406","last_updated":"2022-05-24T23:28:56Z","snapshot_observed_at":"2026-08-04T08:05:47.919347Z","submitted_at":"2022-05-24T23:28:56Z","title":"Multi-Head Online Learning for Delayed Feedback Modeling","version":1},"cited_work":{"arxiv_id":"2205.12406","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.12406","snapshot_observed_at":"2026-08-06T23:49:42.718778Z","title":"Multi-Head Online Learning for Delayed Feedback Modeling","venue":"cs.LG","work_id":"8dbbad00-1521-4642-9876-54321e1654e6","year":2022},"citing_paper":{"arxiv_id":"2608.04455","last_updated":"2026-08-05T05:14:39Z","snapshot_observed_at":"2026-08-08T17:12:24.769902Z","submitted_at":"2026-08-05T05:14:39Z","title":"Multi-Objective Ranking for Live-Streaming: Balancing Fresh and Delayed Signals with Segment-Aware Targeting","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:40.391209Z"},"links":{"cited_paper":"/paper/2205.12406","citing_paper":"/paper/2608.04455"},"observation_digest":"sha256:921c8ca4c16513f3752fcb3af02632e506fc58979e905a6006867c8a42049d7d","observation_id":"5f573852-b8f5-4880-aafe-69c61298e1ed","resolution":{"observed_at":"2026-08-06T23:49:42.771165Z","resolver_source":"local_arxiv","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/2205.12406/citation-record","integrity":"/paper/2205.12406/integrity","json":"/paper/2205.12406/citation-record.json","paper":"/paper/2205.12406"},"outbound":[],"paper":{"arxiv_id":"2205.12406","last_updated":"2022-05-24T23:28:56Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-04T08:05:47.919347Z","submitted_at":"2022-05-24T23:28:56Z","title":"Multi-Head Online Learning for Delayed Feedback Modeling"},"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 2 inbound Pith citation observations for arXiv:2205.12406."}