{"as_of":"2026-08-16T17:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:13c895924dba74b27d22965cc1f0279a60b9cf0ce3175332ef0d767b327d76b0","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":"2026-08-16T06:30:59.297886+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":"2026-08-14T15:14:13.463732Z","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":"2026-08-14T15:14:13.674664Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1808.03357","last_updated":"2018-08-09T21:52:10Z","snapshot_observed_at":"2026-08-14T18:42:49.292455Z","submitted_at":"2018-08-09T21:52:10Z","title":"Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning","version":1},"cited_work":{"arxiv_id":"1808.03357","doi":null,"metadata_source":"pith","pith_arxiv_id":"1808.03357","snapshot_observed_at":"2026-08-14T15:14:13.674664Z","title":"Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning","venue":"cs.NE","work_id":"ab2adfbb-9c1a-4df9-b0b9-2fbf57f6cae1","year":2018},"citing_paper":{"arxiv_id":"1908.01580","last_updated":"2019-12-05T09:24:24Z","snapshot_observed_at":"2026-08-15T02:15:14.806502Z","submitted_at":"2019-08-05T12:23:24Z","title":"The HSIC Bottleneck: Deep Learning without Back-Propagation","version":3},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-14T15:14:13.463732Z"},"links":{"cited_paper":"/paper/1808.03357","citing_paper":"/paper/1908.01580"},"observation_digest":"sha256:76d15eceabd957e0c511d5f786e55b42f72101b1c8d0846cf253454d6e59392d","observation_id":"1ca75a07-d387-41d3-9aa0-8da914905308","resolution":{"observed_at":"2026-08-14T15:14:13.679877Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1808.03357/citation-record","integrity":"/paper/1808.03357/integrity","json":"/paper/1808.03357/citation-record.json","paper":"/paper/1808.03357"},"outbound":[],"paper":{"arxiv_id":"1808.03357","last_updated":"2018-08-09T21:52:10Z","latest_version":1,"primary_category":"cs.NE","snapshot_observed_at":"2026-08-14T18:42:49.292455Z","submitted_at":"2018-08-09T21:52:10Z","title":"Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1808.03357."}