{"as_of":"2026-08-20T09:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f65431e31832b69b99709904ccfa245afdc1a1a464c871f7a63c15ecd848b537","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":"2026-08-20T06:33:59.587034+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":"2026-08-14T13:46:22.050789Z","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":"2026-08-14T13:46:22.276867Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1904.02422","last_updated":"2021-10-18T09:43:53Z","snapshot_observed_at":"2026-08-17T09:03:20.265385Z","submitted_at":"2019-04-04T09:19:19Z","title":"Resource Efficient 3D Convolutional Neural Networks","version":5},"cited_work":{"arxiv_id":"1904.02422","doi":null,"metadata_source":"pith","pith_arxiv_id":"1904.02422","snapshot_observed_at":"2026-08-14T13:46:22.276867Z","title":"Resource Efficient 3D Convolutional Neural Networks","venue":"cs.CV","work_id":"1f5bb36f-0139-4595-8913-b3b0e6f626c3","year":2019},"citing_paper":{"arxiv_id":"1908.04471","last_updated":"2019-11-27T09:08:40Z","snapshot_observed_at":"2026-08-20T04:34:04.134483Z","submitted_at":"2019-08-13T03:11:46Z","title":"Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:22.050789Z"},"links":{"cited_paper":"/paper/1904.02422","citing_paper":"/paper/1908.04471"},"observation_digest":"sha256:7b3657a260e76804c22cd3ee81faab0b0fae42f6a6711d3738a3a2079b1b7525","observation_id":"42829325-5383-4706-b4e0-d83184bf5f4d","resolution":{"observed_at":"2026-08-14T13:46:22.284181Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1904.02422/citation-record","integrity":"/paper/1904.02422/integrity","json":"/paper/1904.02422/citation-record.json","paper":"/paper/1904.02422"},"outbound":[],"paper":{"arxiv_id":"1904.02422","last_updated":"2021-10-18T09:43:53Z","latest_version":5,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T09:03:20.265385Z","submitted_at":"2019-04-04T09:19:19Z","title":"Resource Efficient 3D Convolutional Neural 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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1904.02422."}