{"as_of":"2026-08-11T20:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d7e304deda378798b40bae5c15176e61587a878da04ff2697fb815283fdc9106","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T23:42:24.219682Z","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":"2026-05-21T05:39:40.745474Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.09764","last_updated":"2024-08-19T07:52:20Z","snapshot_observed_at":"2026-08-11T16:50:51.722836Z","submitted_at":"2024-08-19T07:52:20Z","title":"Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09764","snapshot_observed_at":"2026-08-10T23:42:24.219682Z","title":"Event stream based human action recognition: a high-definition benchmark dataset and algorithms,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20064","last_updated":"2024-12-28T07:38:23Z","snapshot_observed_at":"2026-08-11T14:31:50.614852Z","submitted_at":"2024-12-28T07:38:23Z","title":"VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T23:42:24.219682Z"},"links":{"cited_paper":"/paper/2408.09764","citing_paper":"/paper/2412.20064"},"observation_digest":"sha256:5978ecddb0dc7e8c4a584c8e3c39b5319e6c5803c1b836dfb963a968c57250cd","observation_id":"5bc7cd5e-3e11-4fe2-9a53-fd7a9fa13bee","resolution":{"observed_at":"2026-08-10T23:42:24.219682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09764","last_updated":"2024-08-19T07:52:20Z","snapshot_observed_at":"2026-08-11T16:50:51.722836Z","submitted_at":"2024-08-19T07:52:20Z","title":"Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms","version":1},"cited_work":{"arxiv_id":"2408.09764","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.09764","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Event stream based human action recognition: a high-definition benchmark dataset and algo- rithms","venue":null,"work_id":"162f5da1-c697-48c0-9c26-2276a3985ef8","year":2024},"citing_paper":{"arxiv_id":"2605.20680","last_updated":"2026-05-20T03:47:47Z","snapshot_observed_at":"2026-07-06T23:31:13.042581Z","submitted_at":"2026-05-20T03:47:47Z","title":"DarkShake-DVS: Event-based Human Action Recognition under Low-light andShaking Camera Conditions","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-21T05:37:24.876222Z"},"links":{"cited_paper":"/paper/2408.09764","citing_paper":"/paper/2605.20680"},"observation_digest":"sha256:e59cd16c2edc68ed3a411e9adfd152bec8b89d0e1fae6ff61c2d45f365c7fa98","observation_id":"0da79e86-f166-4f88-bdb4-24c061507731","resolution":{"observed_at":"2026-05-21T05:39:40.747677Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.09764/citation-record","integrity":"/paper/2408.09764/integrity","json":"/paper/2408.09764/citation-record.json","paper":"/paper/2408.09764"},"outbound":[],"paper":{"arxiv_id":"2408.09764","last_updated":"2024-08-19T07:52:20Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T16:50:51.722836Z","submitted_at":"2024-08-19T07:52:20Z","title":"Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.09764."}