{"as_of":"2026-08-11T21:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bff73e86674d0ca6d9f4ab6025a4dca910cdd7c63a86202c07bf9593f1acf257","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":"2026-08-11T06:34:44.6726+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":"2026-08-11T05:20:33.804093Z","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":"2026-08-11T05:20:34.599999Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.05453","last_updated":"2025-03-04T06:47:59Z","snapshot_observed_at":"2026-08-10T20:34:55.575016Z","submitted_at":"2024-09-09T09:19:14Z","title":"Fast multilabel classification of HEP constraints with deep learning","version":2},"cited_work":{"arxiv_id":"2409.05453","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.05453","snapshot_observed_at":"2026-08-11T05:20:34.599999Z","title":"Fast multilabel classification of HEP constraints with deep learning","venue":"hep-ph","work_id":"3a771d12-9614-441f-b7c0-39f098c8b8e3","year":2024},"citing_paper":{"arxiv_id":"2412.17675","last_updated":"2024-12-23T15:57:35Z","snapshot_observed_at":"2026-08-11T05:14:18.375530Z","submitted_at":"2024-12-23T15:57:35Z","title":"hep-aid: A Python Library for Sample Efficient Parameter Scans in Beyond the Standard Model Phenomenology","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T05:20:33.804093Z"},"links":{"cited_paper":"/paper/2409.05453","citing_paper":"/paper/2412.17675"},"observation_digest":"sha256:ea36e0b12c9d3a929bf3e0a4dd5104634b0fcf2015be9d5858a93ac6358aa20f","observation_id":"e0017cc4-6dee-45e0-9829-845fb3c7bb11","resolution":{"observed_at":"2026-08-11T05:20:34.604508Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05453","last_updated":"2025-03-04T06:47:59Z","snapshot_observed_at":"2026-08-10T20:34:55.575016Z","submitted_at":"2024-09-09T09:19:14Z","title":"Fast multilabel classification of HEP constraints with deep learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.05453","snapshot_observed_at":"2026-08-10T13:21:25.331599Z","title":"Binjonaid, (2024), 2409.05453","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.16432","last_updated":"2025-02-06T05:08:24Z","snapshot_observed_at":"2026-08-11T05:27:50.285858Z","submitted_at":"2025-01-27T19:00:04Z","title":"Normalizing Flow-Assisted Nested Sampling on Type-II Seesaw Model","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T13:21:25.331599Z"},"links":{"cited_paper":"/paper/2409.05453","citing_paper":"/paper/2501.16432"},"observation_digest":"sha256:a24a087884e1b516089ebe59b082565d30e247456b1574fa09ce8e8cadce403b","observation_id":"8749d36c-6b0a-4a87-8940-fe5e0158d6f0","resolution":{"observed_at":"2026-08-10T13:21:25.331599Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.05453/citation-record","integrity":"/paper/2409.05453/integrity","json":"/paper/2409.05453/citation-record.json","paper":"/paper/2409.05453"},"outbound":[],"paper":{"arxiv_id":"2409.05453","last_updated":"2025-03-04T06:47:59Z","latest_version":2,"primary_category":"hep-ph","snapshot_observed_at":"2026-08-10T20:34:55.575016Z","submitted_at":"2024-09-09T09:19:14Z","title":"Fast multilabel classification of HEP constraints with deep learning"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.05453."}