{"as_of":"2026-08-13T08:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ef43fcd8c08e6c2bfe6739e8b56b60b7d8226177c166ef10444e236e6cb29b38","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":"2026-08-13T06:32:02.005865+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":"2026-08-05T13:28:03.752219Z","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":"2026-05-09T04:47:06.055901Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1807.08763","last_updated":"2019-01-03T11:13:30Z","snapshot_observed_at":"2026-08-04T10:08:44.940847Z","submitted_at":"2018-07-23T18:00:07Z","title":"Machine Learning Uncertainties with Adversarial Neural Networks","version":2},"cited_work":{"arxiv_id":"1807.08763","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1807.08763","snapshot_observed_at":"2026-07-04T23:21:28.433528Z","title":"Englert, P","venue":null,"work_id":"65177874-6a15-4349-841c-5eca9e7bb00e","year":2019},"citing_paper":{"arxiv_id":"1901.10342","last_updated":"2026-04-09T17:11:30Z","snapshot_observed_at":"2026-08-10T21:10:29.104061Z","submitted_at":"2019-01-29T15:37:15Z","title":"Looking inside jets: an introduction to jet substructure and boosted-object phenomenology","version":5},"reference_index":260,"source":"pdf_text","source_observed_at":"2026-05-09T04:47:05.178859Z"},"links":{"cited_paper":"/paper/1807.08763","citing_paper":"/paper/1901.10342"},"observation_digest":"sha256:8ee8dce431107c019420d83e333b4f1d40ec8b2b5f69bccf49586cd67b9153be","observation_id":"ee1f1083-ce54-4c9d-bfbc-df5adcbb55a5","resolution":{"observed_at":"2026-07-04T23:21:28.433528Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.08763","last_updated":"2019-01-03T11:13:30Z","snapshot_observed_at":"2026-08-04T10:08:44.940847Z","submitted_at":"2018-07-23T18:00:07Z","title":"Machine Learning Uncertainties with Adversarial Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.08763","snapshot_observed_at":"2026-08-05T13:28:03.752219Z","title":"Englert, P","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.00672","last_updated":"2025-08-31T02:54:40Z","snapshot_observed_at":"2026-08-08T08:22:11.077784Z","submitted_at":"2025-08-31T02:54:40Z","title":"Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-05T13:28:03.752219Z"},"links":{"cited_paper":"/paper/1807.08763","citing_paper":"/paper/2509.00672"},"observation_digest":"sha256:7027136f16c1553257a525bc1429df34cdbe92bc8f6ea31d99c503e3a0c0aa0b","observation_id":"3b025ed0-aa27-4119-92df-b93be0109f90","resolution":{"observed_at":"2026-08-05T13:28:03.752219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1807.08763/citation-record","integrity":"/paper/1807.08763/integrity","json":"/paper/1807.08763/citation-record.json","paper":"/paper/1807.08763"},"outbound":[],"paper":{"arxiv_id":"1807.08763","last_updated":"2019-01-03T11:13:30Z","latest_version":2,"primary_category":"hep-ph","snapshot_observed_at":"2026-08-04T10:08:44.940847Z","submitted_at":"2018-07-23T18:00:07Z","title":"Machine Learning Uncertainties with Adversarial Neural Networks"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1807.08763."}