{"as_of":"2026-08-14T11:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d9b82518e36bca24ae94426f26f890fa37a1e0f741315c243bfd897c15f03027","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":"2026-08-14T06:32:32.682623+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":"2026-08-11T11:23:36.714064Z","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":"2026-05-21T11:40:03.505354Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2205.14252","last_updated":"2022-05-27T22:04:02Z","snapshot_observed_at":"2026-08-14T07:09:30.584739Z","submitted_at":"2022-05-27T22:04:02Z","title":"Self-supervised models of audio effectively explain human cortical responses to speech","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.14252","snapshot_observed_at":"2026-08-11T11:23:36.714064Z","title":"R., Jain, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.15560","last_updated":"2024-12-20T04:37:26Z","snapshot_observed_at":"2026-08-11T11:16:50.064495Z","submitted_at":"2024-12-20T04:37:26Z","title":"Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain Recordings","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T11:23:36.714064Z"},"links":{"cited_paper":"/paper/2205.14252","citing_paper":"/paper/2412.15560"},"observation_digest":"sha256:01345862267c428ea79fe3669c86c01ade603678c3df2816f4714d810497921f","observation_id":"79d582a1-c93f-4270-ae4b-37b4f1f6ae84","resolution":{"observed_at":"2026-08-11T11:23:36.714064Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.14252","last_updated":"2022-05-27T22:04:02Z","snapshot_observed_at":"2026-08-14T07:09:30.584739Z","submitted_at":"2022-05-27T22:04:02Z","title":"Self-supervised models of audio effectively explain human cortical responses to speech","version":1},"cited_work":{"arxiv_id":"2205.14252","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.14252","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"https://doi.org/10.48550/ arXiv.2205.14252","venue":null,"work_id":"d6d9abd5-3bc6-4bba-886b-34ca879da24e","year":2022},"citing_paper":{"arxiv_id":"2603.03190","last_updated":"2026-05-18T03:37:10Z","snapshot_observed_at":"2026-07-06T22:47:41.997192Z","submitted_at":"2026-03-03T17:47:09Z","title":"Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-21T11:36:06.967549Z"},"links":{"cited_paper":"/paper/2205.14252","citing_paper":"/paper/2603.03190"},"observation_digest":"sha256:b0fddc6f0f980938e91325942bc956c6e058b06a3baec9cb6c2ef4780d6a1025","observation_id":"84944811-2893-4c86-887d-68e8906ee7a7","resolution":{"observed_at":"2026-05-21T11:40:03.506855Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"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/2205.14252/citation-record","integrity":"/paper/2205.14252/integrity","json":"/paper/2205.14252/citation-record.json","paper":"/paper/2205.14252"},"outbound":[],"paper":{"arxiv_id":"2205.14252","last_updated":"2022-05-27T22:04:02Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T07:09:30.584739Z","submitted_at":"2022-05-27T22:04:02Z","title":"Self-supervised models of audio effectively explain human cortical responses to speech"},"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 2 inbound Pith citation observations for arXiv:2205.14252."}