{"as_of":"2026-08-15T08:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:30408f8c67e23f9c828f731edbe62990f5c86018c36a85866b828c3a969945d0","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":"2026-08-15T06:32:42.880941+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":"2026-08-10T18:23:06.694965Z","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":"2026-08-10T18:23:07.414984Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2205.10242","last_updated":"2022-05-20T15:13:58Z","snapshot_observed_at":"2026-08-14T10:15:07.662968Z","submitted_at":"2022-05-20T15:13:58Z","title":"EXODUS: Stable and Efficient Training of Spiking Neural Networks","version":1},"cited_work":{"arxiv_id":"2205.10242","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.10242","snapshot_observed_at":"2026-08-10T18:23:07.414984Z","title":"EXODUS: Stable and Efficient Training of Spiking Neural Networks","venue":"cs.NE","work_id":"0f1c87b7-b034-4324-a845-411f498e5c63","year":2022},"citing_paper":{"arxiv_id":"2501.11407","last_updated":"2025-01-20T11:14:11Z","snapshot_observed_at":"2026-08-14T05:12:18.305522Z","submitted_at":"2025-01-20T11:14:11Z","title":"A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T18:23:06.694965Z"},"links":{"cited_paper":"/paper/2205.10242","citing_paper":"/paper/2501.11407"},"observation_digest":"sha256:fe3c7b72ef02373fcdfbc1713d3f99f4dbe76f796b2e8dd1781a473fad6f3b7b","observation_id":"8add62a2-d22f-4354-a032-731d873f3e24","resolution":{"observed_at":"2026-08-10T18:23:07.421569Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2205.10242/citation-record","integrity":"/paper/2205.10242/integrity","json":"/paper/2205.10242/citation-record.json","paper":"/paper/2205.10242"},"outbound":[],"paper":{"arxiv_id":"2205.10242","last_updated":"2022-05-20T15:13:58Z","latest_version":1,"primary_category":"cs.NE","snapshot_observed_at":"2026-08-14T10:15:07.662968Z","submitted_at":"2022-05-20T15:13:58Z","title":"EXODUS: Stable and Efficient Training of Spiking 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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2205.10242."}