{"as_of":"2026-08-14T08:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a407da505497a1a2e4c6105c63cf8aa59de5a7d95ee67e18d687760bc5c97f12","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":"2026-08-14T06:32:32.682623+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":"2026-08-12T04:48:11.795122Z","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":"2026-08-12T04:48:12.265846Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2005.00698","last_updated":"2020-12-18T03:08:37Z","snapshot_observed_at":"2026-08-14T02:19:39.496951Z","submitted_at":"2020-05-02T04:30:31Z","title":"Deep ConvLSTM with self-attention for human activity decoding using wearables","version":2},"cited_work":{"arxiv_id":"2005.00698","doi":null,"metadata_source":"pith","pith_arxiv_id":"2005.00698","snapshot_observed_at":"2026-08-12T04:48:12.265846Z","title":"Deep ConvLSTM with self-attention for human activity decoding using wearables","venue":"cs.HC","work_id":"9e807cfa-9700-4b40-ab00-d7307bdf1f9a","year":2020},"citing_paper":{"arxiv_id":"2412.01056","last_updated":"2024-12-02T02:35:40Z","snapshot_observed_at":"2026-08-12T04:41:57.996843Z","submitted_at":"2024-12-02T02:35:40Z","title":"Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T04:48:11.795122Z"},"links":{"cited_paper":"/paper/2005.00698","citing_paper":"/paper/2412.01056"},"observation_digest":"sha256:02fbff080617c367d86f21f4fbac90df8387644a9aeedb3b0ce923d24fe5d89f","observation_id":"0fb1bb3a-09f6-4fb6-8bfc-819e3383f2bd","resolution":{"observed_at":"2026-08-12T04:48:12.270943Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2005.00698/citation-record","integrity":"/paper/2005.00698/integrity","json":"/paper/2005.00698/citation-record.json","paper":"/paper/2005.00698"},"outbound":[],"paper":{"arxiv_id":"2005.00698","last_updated":"2020-12-18T03:08:37Z","latest_version":2,"primary_category":"cs.HC","snapshot_observed_at":"2026-08-14T02:19:39.496951Z","submitted_at":"2020-05-02T04:30:31Z","title":"Deep ConvLSTM with self-attention for human activity decoding using wearables"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2005.00698."}