{"as_of":"2026-08-10T06:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6ec1035ab90e030e8c346eab108c5550c139857becebafa078823c64ff5afb2f","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":"2026-08-09T23:38:10.328851Z","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":"2026-08-07T14:45:14.757854Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1811.00596","last_updated":"2018-11-28T10:56:21Z","snapshot_observed_at":"2026-07-06T07:12:07.929259Z","submitted_at":"2018-11-01T19:22:39Z","title":"Variational Dropout via Empirical Bayes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.00596","snapshot_observed_at":"2026-08-09T23:38:10.328851Z","title":"Variational Dropout via Empirical Bayes","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.18665","last_updated":"2025-07-18T23:49:21Z","snapshot_observed_at":"2026-08-09T23:28:38.057815Z","submitted_at":"2025-01-30T15:44:04Z","title":"BARNN: A Bayesian Autoregressive and Recurrent Neural Network","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-09T23:38:10.328851Z"},"links":{"cited_paper":"/paper/1811.00596","citing_paper":"/paper/2501.18665"},"observation_digest":"sha256:b14d019b5d9b50a892ceb4a7796cbf9d059a3733af3a70d442e14d9ec5d24225","observation_id":"b4a7f798-c14e-4853-a71a-6c5878a320ce","resolution":{"observed_at":"2026-08-09T23:38:10.328851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.00596","last_updated":"2018-11-28T10:56:21Z","snapshot_observed_at":"2026-07-06T07:12:07.929259Z","submitted_at":"2018-11-01T19:22:39Z","title":"Variational Dropout via Empirical Bayes","version":2},"cited_work":{"arxiv_id":"1811.00596","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.00596","snapshot_observed_at":"2026-08-07T14:45:14.757854Z","title":"Variational Dropout via Empirical Bayes","venue":"stat.ML","work_id":"b9c0c743-e013-4fc3-be96-d5596c6d9578","year":2018},"citing_paper":{"arxiv_id":"2505.17962","last_updated":"2025-05-23T14:33:20Z","snapshot_observed_at":"2026-08-07T14:35:17.492446Z","submitted_at":"2025-05-23T14:33:20Z","title":"A Principled Bayesian Framework for Training Binary and Spiking Neural Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:45:13.680399Z"},"links":{"cited_paper":"/paper/1811.00596","citing_paper":"/paper/2505.17962"},"observation_digest":"sha256:bdd40f8ee9b781f2ee7e15b028c6f4d897bbaba7d780a1c02b10776cbe693098","observation_id":"2fea1849-06b6-4990-bba0-cb7966a5221a","resolution":{"observed_at":"2026-08-07T14:45:14.818433Z","resolver_source":"local_arxiv","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/1811.00596/citation-record","integrity":"/paper/1811.00596/integrity","json":"/paper/1811.00596/citation-record.json","paper":"/paper/1811.00596"},"outbound":[],"paper":{"arxiv_id":"1811.00596","last_updated":"2018-11-28T10:56:21Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-06T07:12:07.929259Z","submitted_at":"2018-11-01T19:22:39Z","title":"Variational Dropout via Empirical Bayes"},"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:1811.00596."}