{"as_of":"2026-08-23T11:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9f955456e105d09a0724ddbd6633cb36816397dc0760c5d97a6f36465bdeea40","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":"2026-08-23T06:30:58.430688+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":"2026-08-14T14:17:03.566731Z","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":"2026-08-14T12:54:29.977666Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1802.06455","last_updated":"2018-07-16T14:56:19Z","snapshot_observed_at":"2026-08-21T11:52:12.713322Z","submitted_at":"2018-02-18T22:21:36Z","title":"Bayesian Uncertainty Estimation for Batch Normalized Deep Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.06455","snapshot_observed_at":"2026-08-14T14:17:03.566731Z","title":"Bayesian uncertainty estimation for batch normalized deep networks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03491","last_updated":"2019-08-09T15:15:56Z","snapshot_observed_at":"2026-08-18T00:04:36.384335Z","submitted_at":"2019-08-09T15:15:56Z","title":"Bayesian Inference for Large Scale Image Classification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:17:03.566731Z"},"links":{"cited_paper":"/paper/1802.06455","citing_paper":"/paper/1908.03491"},"observation_digest":"sha256:aa55b450ea0c4760d3c641ac719b1537aa4d4049996206487048778007b376f7","observation_id":"c1044bce-f4a6-4a43-8f5b-c4d5940dc002","resolution":{"observed_at":"2026-08-14T14:17:03.566731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.06455","last_updated":"2018-07-16T14:56:19Z","snapshot_observed_at":"2026-08-21T11:52:12.713322Z","submitted_at":"2018-02-18T22:21:36Z","title":"Bayesian Uncertainty Estimation for Batch Normalized Deep Networks","version":2},"cited_work":{"arxiv_id":"1802.06455","doi":null,"metadata_source":"pith","pith_arxiv_id":"1802.06455","snapshot_observed_at":"2026-08-14T12:54:29.977666Z","title":"Bayesian Uncertainty Estimation for Batch Normalized Deep Networks","venue":"stat.ML","work_id":"b98cde3f-9446-495e-906d-9bb83e188ceb","year":2018},"citing_paper":{"arxiv_id":"1908.06306","last_updated":"2019-10-17T07:20:32Z","snapshot_observed_at":"2026-08-17T07:13:34.997390Z","submitted_at":"2019-08-17T14:39:36Z","title":"U-CAM: Visual Explanation using Uncertainty based Class Activation Maps","version":4},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T12:54:29.895155Z"},"links":{"cited_paper":"/paper/1802.06455","citing_paper":"/paper/1908.06306"},"observation_digest":"sha256:c0b53ae7453a89683cc7e339cb7af352991812b26bff2fbf5a5d14fe47a5b3fa","observation_id":"35ac2394-0c32-4ecf-85ff-6d7bafdf9d33","resolution":{"observed_at":"2026-08-14T12:54:29.985094Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1802.06455/citation-record","integrity":"/paper/1802.06455/integrity","json":"/paper/1802.06455/citation-record.json","paper":"/paper/1802.06455"},"outbound":[],"paper":{"arxiv_id":"1802.06455","last_updated":"2018-07-16T14:56:19Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-21T11:52:12.713322Z","submitted_at":"2018-02-18T22:21:36Z","title":"Bayesian Uncertainty Estimation for Batch Normalized Deep 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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1802.06455."}