{"as_of":"2026-08-09T16:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fa3937566d3c3016d5ce627022d5c296e8bd34da465290ca1b1320d96b47f33b","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T07:36:36.074300Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":356,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1402.4102","last_updated":"2014-05-12T06:38:21Z","snapshot_observed_at":"2026-08-03T19:28:23.939703Z","submitted_at":"2014-02-17T19:57:59Z","title":"Stochastic Gradient Hamiltonian Monte Carlo","version":2},"cited_work":{"arxiv_id":"1402.4102","doi":"10.48550/arxiv.1402.4102","metadata_source":"pith","pith_arxiv_id":"1402.4102","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Stochastic Gradient Hamiltonian Monte Carlo","venue":"stat.ME","work_id":"6a694b17-4b6e-44c9-8d07-e8c2e569f28c","year":2014},"citing_paper":{"arxiv_id":"2510.25824","last_updated":"2026-07-27T20:50:55Z","snapshot_observed_at":"2026-08-07T12:03:29.706461Z","submitted_at":"2025-10-29T18:00:00Z","title":"The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-04T07:36:36.074300Z"},"links":{"cited_paper":"/paper/1402.4102","citing_paper":"/paper/2510.25824"},"observation_digest":"sha256:c0330d420fe0e9ef4ce5bfbd4f113817d2ef7413def6cd396960955c383b4167","observation_id":"ba490d28-abb5-4a83-acbc-8aea560e783b","resolution":{"observed_at":"2026-08-04T07:38:36.850705Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1402.4102/citation-record","integrity":"/paper/1402.4102/integrity","json":"/paper/1402.4102/citation-record.json","paper":"/paper/1402.4102"},"outbound":[],"paper":{"arxiv_id":"1402.4102","last_updated":"2014-05-12T06:38:21Z","latest_version":2,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-03T19:28:23.939703Z","submitted_at":"2014-02-17T19:57:59Z","title":"Stochastic Gradient Hamiltonian Monte Carlo"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1402.4102."}