{"as_of":"2026-08-09T07:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:760d9f04db29ab056079020b6a37591f781b5a97eaa1cee0090ea5531bd987ff","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":"2026-08-07T14:35:13.757865Z","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":"2026-08-07T14:35:13.899463Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1603.06170","last_updated":"2018-09-28T13:16:25Z","snapshot_observed_at":"2026-08-08T23:47:58.430309Z","submitted_at":"2016-03-20T00:55:06Z","title":"Joint Stochastic Approximation learning of Helmholtz Machines","version":2},"cited_work":{"arxiv_id":"1603.06170","doi":null,"metadata_source":"pith","pith_arxiv_id":"1603.06170","snapshot_observed_at":"2026-08-07T14:35:13.899463Z","title":"Joint Stochastic Approximation learning of Helmholtz Machines","venue":"cs.LG","work_id":"261edef2-fec7-4ff3-904f-ae7554602ddb","year":2016},"citing_paper":{"arxiv_id":"2505.18558","last_updated":"2025-05-24T06:52:23Z","snapshot_observed_at":"2026-08-08T23:47:57.383575Z","submitted_at":"2025-05-24T06:52:23Z","title":"Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:35:13.757865Z"},"links":{"cited_paper":"/paper/1603.06170","citing_paper":"/paper/2505.18558"},"observation_digest":"sha256:cd5e091725b5e65c4781c6a78804d16a8e576dcf6499f0fe0583f7316b31f204","observation_id":"26222378-9b46-4b93-a7d9-d0d2e5db288b","resolution":{"observed_at":"2026-08-07T14:35:13.966146Z","resolver_source":"local_arxiv","status":"verified_exact"},"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/1603.06170/citation-record","integrity":"/paper/1603.06170/integrity","json":"/paper/1603.06170/citation-record.json","paper":"/paper/1603.06170"},"outbound":[],"paper":{"arxiv_id":"1603.06170","last_updated":"2018-09-28T13:16:25Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T23:47:58.430309Z","submitted_at":"2016-03-20T00:55:06Z","title":"Joint Stochastic Approximation learning of Helmholtz Machines"},"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:1603.06170."}