{"as_of":"2026-08-08T13:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2192c0aa751c6b5dce337d1abc9c63128788e41434c1700dee5e78ce5594aa62","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T11:15:55.688346Z","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":"2026-08-06T11:15:55.821128Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.15925","last_updated":"2025-05-28T03:23:09Z","snapshot_observed_at":"2026-08-08T10:03:14.987201Z","submitted_at":"2025-01-27T10:22:38Z","title":"Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment","version":2},"cited_work":{"arxiv_id":"2501.15925","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.15925","snapshot_observed_at":"2026-08-06T11:15:55.821128Z","title":"Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment","venue":"cs.LG","work_id":"4204553a-c94e-4da1-baaa-6e4d9e76d10d","year":2025},"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":56,"source":"pdf_text","source_observed_at":"2026-08-06T11:15:55.688346Z"},"links":{"cited_paper":"/paper/2501.15925","citing_paper":"/paper/2507.23033"},"observation_digest":"sha256:d58e645d7c253c431316d44030539f267dac40934a45ce01ab7099f6a7a2d7df","observation_id":"ad4cfa04-5a96-4b69-8f94-cdf6dc454ad0","resolution":{"observed_at":"2026-08-06T11:15:55.827564Z","resolver_source":"local_arxiv","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/2501.15925/citation-record","integrity":"/paper/2501.15925/integrity","json":"/paper/2501.15925/citation-record.json","paper":"/paper/2501.15925"},"outbound":[],"paper":{"arxiv_id":"2501.15925","last_updated":"2025-05-28T03:23:09Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T10:03:14.987201Z","submitted_at":"2025-01-27T10:22:38Z","title":"Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment"},"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 1 inbound Pith citation observation for arXiv:2501.15925."}