{"as_of":"2026-08-08T08:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8e296e056fbed9bb27fae99aade6082f6803f51423f3ecfd4ce46640c4c4001c","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:14:00.471509Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T06:29:37.193382Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.09728","last_updated":"2023-12-11T08:20:14Z","snapshot_observed_at":"2026-07-06T15:04:31.778399Z","submitted_at":"2023-03-17T02:01:11Z","title":"The Cascaded Forward Algorithm for Neural Network Training","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.09728","snapshot_observed_at":"2026-08-06T19:14:00.471509Z","title":"The cas- caded forward algorithm for neural network training,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06461","last_updated":"2025-07-09T00:29:06Z","snapshot_observed_at":"2026-08-06T19:01:31.975724Z","submitted_at":"2025-07-09T00:29:06Z","title":"Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T19:14:00.471509Z"},"links":{"cited_paper":"/paper/2303.09728","citing_paper":"/paper/2507.06461"},"observation_digest":"sha256:c82f376abbd7ef6f30070f08937cc7ddfc28d1fbc6f23622f117b69607f287d7","observation_id":"c91c3250-efd5-449d-9bf5-93ce9b29fe64","resolution":{"observed_at":"2026-08-06T19:14:00.471509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09728","last_updated":"2023-12-11T08:20:14Z","snapshot_observed_at":"2026-07-06T15:04:31.778399Z","submitted_at":"2023-03-17T02:01:11Z","title":"The Cascaded Forward Algorithm for Neural Network Training","version":3},"cited_work":{"arxiv_id":"2303.09728","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.09728","snapshot_observed_at":"2026-07-04T06:29:37.193382Z","title":"The cascaded forward algorithm for neural network training.arXiv preprint arXiv:2303.09728,","venue":null,"work_id":"af1616db-cb1d-410d-9d5e-690f6a01f8fc","year":null},"citing_paper":{"arxiv_id":"2606.21497","last_updated":"2026-06-19T14:44:07Z","snapshot_observed_at":"2026-08-02T04:04:02.426360Z","submitted_at":"2026-06-19T14:44:07Z","title":"Breaking chains with trees: Deep learning with $\\mathcal{O}(\\log N)$ parallel time complexity","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-26T14:28:47.089647Z"},"links":{"cited_paper":"/paper/2303.09728","citing_paper":"/paper/2606.21497"},"observation_digest":"sha256:ed0ee8de3eed49e5d639ba3deb94d752aba90562b72133c441eb189022a124db","observation_id":"f04a1405-1615-4baa-b157-b12c8ecc8e5f","resolution":{"observed_at":"2026-07-04T06:29:37.195310Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09728","last_updated":"2023-12-11T08:20:14Z","snapshot_observed_at":"2026-07-06T15:04:31.778399Z","submitted_at":"2023-03-17T02:01:11Z","title":"The Cascaded Forward Algorithm for Neural Network Training","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.09728","snapshot_observed_at":"2026-08-02T06:35:59.565515Z","title":"The cascaded forward algorithm for neural network training","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.12501","last_updated":"2026-07-15T09:07:05Z","snapshot_observed_at":"2026-08-06T15:20:10.558390Z","submitted_at":"2026-07-14T08:33:33Z","title":"What Does Goodness Measure? A Likelihood-Ratio Account of Forward-Forward Learning","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T06:35:59.565515Z"},"links":{"cited_paper":"/paper/2303.09728","citing_paper":"/paper/2607.12501"},"observation_digest":"sha256:ff1e72a605946a74b55d9f9723e0aec2507fa146e1056c625c50253355acbec3","observation_id":"10f6d6da-d757-40b9-9acc-a677c60adebb","resolution":{"observed_at":"2026-08-02T06:35:59.565515Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2303.09728/citation-record","integrity":"/paper/2303.09728/integrity","json":"/paper/2303.09728/citation-record.json","paper":"/paper/2303.09728"},"outbound":[],"paper":{"arxiv_id":"2303.09728","last_updated":"2023-12-11T08:20:14Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T15:04:31.778399Z","submitted_at":"2023-03-17T02:01:11Z","title":"The Cascaded Forward Algorithm for Neural Network Training"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2303.09728."}