{"as_of":"2026-08-22T20:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5d2b6ecc9d5a2e718094eb04dbfe05a376f1e5efc6c5a8ebc18c69bab116dc78","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":"2026-08-22T06:32:14.747728+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":"2026-07-13T20:06:56.243972Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.04964","last_updated":"2024-07-06T05:31:11Z","snapshot_observed_at":"2026-08-18T02:42:00.033453Z","submitted_at":"2024-07-06T05:31:11Z","title":"ZOBNN: Zero-Overhead Dependable Design of Binary Neural Networks with Deliberately Quantized Parameters","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04964","snapshot_observed_at":"2026-07-13T20:06:56.243972Z","title":"Zobnn: Zero-overhead dependable design of binary neural networks with deliberately quantized parameters.arXiv preprint arXiv:2407.04964,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2603.22770","last_updated":"2026-07-02T18:00:40Z","snapshot_observed_at":"2026-08-14T23:44:10.830029Z","submitted_at":"2026-03-24T03:53:04Z","title":"From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-13T20:06:56.243972Z"},"links":{"cited_paper":"/paper/2407.04964","citing_paper":"/paper/2603.22770"},"observation_digest":"sha256:46dadee1a2241b5849beb0d95b9500d76a53c8d9087f5ed0f1721c47effd923a","observation_id":"4760b8d2-175e-42d6-b93b-868c0cad4892","resolution":{"observed_at":"2026-07-13T20:06:56.243972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.04964/citation-record","integrity":"/paper/2407.04964/integrity","json":"/paper/2407.04964/citation-record.json","paper":"/paper/2407.04964"},"outbound":[],"paper":{"arxiv_id":"2407.04964","last_updated":"2024-07-06T05:31:11Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-18T02:42:00.033453Z","submitted_at":"2024-07-06T05:31:11Z","title":"ZOBNN: Zero-Overhead Dependable Design of Binary Neural Networks with Deliberately Quantized Parameters"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.04964."}