{"as_of":"2026-08-13T16:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f7fb6e3caa00767790b6b6cc6990a3f0a8ab43dea6a690a36d50b9b3a89a85e1","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":"2026-08-13T06:32:02.005865+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":"2026-08-12T12:39:35.793508Z","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":"2026-08-12T12:39:38.306715Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.02429","last_updated":"2024-06-04T03:31:10Z","snapshot_observed_at":"2026-08-13T05:27:12.503413Z","submitted_at":"2023-11-13T11:25:34Z","title":"Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities","version":2},"cited_work":{"arxiv_id":"2401.02429","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.02429","snapshot_observed_at":"2026-08-12T12:39:38.306715Z","title":"Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities","venue":"cs.NE","work_id":"1bb55f6f-2616-457d-9dd5-911f0292f6df","year":2023},"citing_paper":{"arxiv_id":"2411.17006","last_updated":"2024-11-26T00:28:43Z","snapshot_observed_at":"2026-08-12T14:01:52.313963Z","submitted_at":"2024-11-26T00:28:43Z","title":"Event-based Spiking Neural Networks for Object Detection: A Review of Datasets, Architectures, Learning Rules, and Implementation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T12:39:35.793508Z"},"links":{"cited_paper":"/paper/2401.02429","citing_paper":"/paper/2411.17006"},"observation_digest":"sha256:713ffcfa37f475845901abb84bdfc38fdc686d2b59a762f4eec448882ceb61f5","observation_id":"01bbbba0-ed9f-4b02-9671-a49abf1c67d7","resolution":{"observed_at":"2026-08-12T12:39:38.313608Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2401.02429/citation-record","integrity":"/paper/2401.02429/integrity","json":"/paper/2401.02429/citation-record.json","paper":"/paper/2401.02429"},"outbound":[],"paper":{"arxiv_id":"2401.02429","last_updated":"2024-06-04T03:31:10Z","latest_version":2,"primary_category":"cs.NE","snapshot_observed_at":"2026-08-13T05:27:12.503413Z","submitted_at":"2023-11-13T11:25:34Z","title":"Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2401.02429."}