{"as_of":"2026-08-09T17:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b5e077add5d05df6e4685b69ec7e2530988c5419b8fb8467d1f27ac85c5c00dc","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T11:37:12.661551Z","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":"2026-08-05T12:15:17.640206Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1804.01149","last_updated":"2018-04-03T20:04:04Z","snapshot_observed_at":"2026-08-06T20:15:26.127954Z","submitted_at":"2018-04-03T20:04:04Z","title":"Music Genre Classification using Machine Learning Techniques","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.01149","snapshot_observed_at":"2026-08-07T11:37:12.661551Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.02091","last_updated":"2025-06-02T15:11:36Z","snapshot_observed_at":"2026-08-08T11:33:56.807878Z","submitted_at":"2025-06-02T15:11:36Z","title":"Comparison of spectrogram scaling in multi-label Music Genre Recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:37:12.661551Z"},"links":{"cited_paper":"/paper/1804.01149","citing_paper":"/paper/2506.02091"},"observation_digest":"sha256:1355056b9310b0020689387da00fc81d9c22c395ec43e21ac1db8f6a79428ea5","observation_id":"50d31cff-35ef-4fc5-a692-da51d770f681","resolution":{"observed_at":"2026-08-07T11:37:12.661551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.01149","last_updated":"2018-04-03T20:04:04Z","snapshot_observed_at":"2026-08-06T20:15:26.127954Z","submitted_at":"2018-04-03T20:04:04Z","title":"Music Genre Classification using Machine Learning Techniques","version":1},"cited_work":{"arxiv_id":"1804.01149","doi":null,"metadata_source":"pith","pith_arxiv_id":"1804.01149","snapshot_observed_at":"2026-08-05T12:15:17.640206Z","title":"Music Genre Classification using Machine Learning Techniques","venue":"cs.SD","work_id":"07dcc4ba-bfac-4470-b158-36b7e160726f","year":2018},"citing_paper":{"arxiv_id":"2509.01762","last_updated":"2025-09-01T20:43:55Z","snapshot_observed_at":"2026-08-08T00:05:51.278537Z","submitted_at":"2025-09-01T20:43:55Z","title":"Music Genre Classification Using Machine Learning Techniques","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T12:15:17.249716Z"},"links":{"cited_paper":"/paper/1804.01149","citing_paper":"/paper/2509.01762"},"observation_digest":"sha256:ca2eaaef52344d4ff4fb6ea8dd0b932cad7f967903233b919d1183428771f64a","observation_id":"5837370e-cccc-4ebc-86f7-9b44b502287d","resolution":{"observed_at":"2026-08-05T12:15:17.654741Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1804.01149/citation-record","integrity":"/paper/1804.01149/integrity","json":"/paper/1804.01149/citation-record.json","paper":"/paper/1804.01149"},"outbound":[],"paper":{"arxiv_id":"1804.01149","last_updated":"2018-04-03T20:04:04Z","latest_version":1,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-06T20:15:26.127954Z","submitted_at":"2018-04-03T20:04:04Z","title":"Music Genre Classification using Machine Learning Techniques"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1804.01149."}