{"as_of":"2026-08-08T09:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f1e944ca80a68c3e5f058cec0df9d894d1fc0b83b845dfd98021a17e749d21d3","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":"2026-08-06T11:15:55.725638Z","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":"2026-07-01T14:25:46.079398Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.07862","last_updated":"2024-06-12T04:30:40Z","snapshot_observed_at":"2026-07-06T18:29:21.709395Z","submitted_at":"2024-06-12T04:30:40Z","title":"Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07862","snapshot_observed_at":"2026-08-06T11:15:55.725638Z","title":"Self-distillation learning based on temporal-spatial consistency for spiking neural networks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.23033","last_updated":"2026-07-06T16:41:38Z","snapshot_observed_at":"2026-08-07T21:37:37.922940Z","submitted_at":"2025-07-30T18:56:24Z","title":"Adaptive Time-step Training for Enhancing Spike-Based Neural Radiance Fields","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:55.725638Z"},"links":{"cited_paper":"/paper/2406.07862","citing_paper":"/paper/2507.23033"},"observation_digest":"sha256:2a56ebec10a821024116a912ee78e51fd0b08dfff8257555843907825335ed4f","observation_id":"35b27615-e453-4523-b397-c89e3754d56b","resolution":{"observed_at":"2026-08-06T11:15:55.725638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07862","last_updated":"2024-06-12T04:30:40Z","snapshot_observed_at":"2026-07-06T18:29:21.709395Z","submitted_at":"2024-06-12T04:30:40Z","title":"Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks","version":1},"cited_work":{"arxiv_id":"2406.07862","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07862","snapshot_observed_at":"2026-07-01T14:25:46.079398Z","title":"Self-distillation learning based on temporal-spatial consistency for spiking neural networks.arXiv preprint arXiv:2406.07862","venue":null,"work_id":"73279384-3eea-482d-80d4-9419fd390b27","year":2024},"citing_paper":{"arxiv_id":"2605.14252","last_updated":"2026-06-29T09:04:57Z","snapshot_observed_at":"2026-08-02T05:41:36.183680Z","submitted_at":"2026-05-14T01:39:14Z","title":"Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-15T02:43:34.699162Z"},"links":{"cited_paper":"/paper/2406.07862","citing_paper":"/paper/2605.14252"},"observation_digest":"sha256:abc2d6c12dbd302a33ff368ebaf654e917f8a188c30c813df1c0d72c9758986f","observation_id":"26dc05de-ff80-4ef3-85f4-491577bcc1ec","resolution":{"observed_at":"2026-05-15T02:49:41.535420Z","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":"2406.07862","last_updated":"2024-06-12T04:30:40Z","snapshot_observed_at":"2026-07-06T18:29:21.709395Z","submitted_at":"2024-06-12T04:30:40Z","title":"Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks","version":1},"cited_work":{"arxiv_id":"2406.07862","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07862","snapshot_observed_at":"2026-07-01T14:25:46.079398Z","title":"Self-distillation learning based on temporal-spatial consistency for spiking neural networks.arXiv preprint arXiv:2406.07862","venue":null,"work_id":"73279384-3eea-482d-80d4-9419fd390b27","year":2024},"citing_paper":{"arxiv_id":"2605.14252","last_updated":"2026-06-29T09:04:57Z","snapshot_observed_at":"2026-08-02T05:41:36.183680Z","submitted_at":"2026-05-14T01:39:14Z","title":"Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-30T21:40:23.491711Z"},"links":{"cited_paper":"/paper/2406.07862","citing_paper":"/paper/2605.14252"},"observation_digest":"sha256:5ed9112775be4e65a14b93c67c1fcf24457b385758926febc15eaacfd852010e","observation_id":"2da6a6dc-6554-4570-a7e9-04d2f92acbe0","resolution":{"observed_at":"2026-07-01T14:25:46.080950Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2406.07862/citation-record","integrity":"/paper/2406.07862/integrity","json":"/paper/2406.07862/citation-record.json","paper":"/paper/2406.07862"},"outbound":[],"paper":{"arxiv_id":"2406.07862","last_updated":"2024-06-12T04:30:40Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:29:21.709395Z","submitted_at":"2024-06-12T04:30:40Z","title":"Self-Distillation Learning Based on Temporal-Spatial Consistency for 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":"2026-08-08T06:32:00.761636+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:2406.07862."}