{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:ABX3AXEG6UAJXJTWBYNSKKACX5","short_pith_number":"pith:ABX3AXEG","schema_version":"1.0","canonical_sha256":"006fb05c86f5009ba6760e1b252802bf7c273ec6a55d2adddbcb2226a58219d0","source":{"kind":"arxiv","id":"2004.00501","version":1},"attestation_state":"computed","paper":{"title":"Current state of nonlinear-type time-frequency analysis and applications to high-frequency biomedical signals","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Hau-Tieng Wu","submitted_at":"2020-03-31T04:27:25Z","abstract_excerpt":"Motivated by analyzing complicated time series, nonlinear-type time-frequency analysis became an active research topic in the past decades. Those developed tools have been applied to various problems. In this article, we review those developed tools and summarize their applications to high-frequency biomedical signals."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2004.00501","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-03-31T04:27:25Z","cross_cats_sorted":[],"title_canon_sha256":"7c8e2da566e97b3c00de8d21275f69c4f6553b342972ef09b5005e69a033456d","abstract_canon_sha256":"bcad9094db6044d81b4f55443d8ddfafaea7e9d13060e7e57c7fceae91ee36b2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:52:11.212731Z","signature_b64":"jexCtEd+B9hk6IOO8QAo+XrWSqMwcQGz0BUepYCgXuePOmMYlB/y6ElGmceCDc5881E5M0lyZVl+kDm4K9YnCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"006fb05c86f5009ba6760e1b252802bf7c273ec6a55d2adddbcb2226a58219d0","last_reissued_at":"2026-07-05T00:52:11.212393Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:52:11.212393Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Current state of nonlinear-type time-frequency analysis and applications to high-frequency biomedical signals","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Hau-Tieng Wu","submitted_at":"2020-03-31T04:27:25Z","abstract_excerpt":"Motivated by analyzing complicated time series, nonlinear-type time-frequency analysis became an active research topic in the past decades. Those developed tools have been applied to various problems. In this article, we review those developed tools and summarize their applications to high-frequency biomedical signals."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.00501","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2004.00501/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2004.00501","created_at":"2026-07-05T00:52:11.212453+00:00"},{"alias_kind":"arxiv_version","alias_value":"2004.00501v1","created_at":"2026-07-05T00:52:11.212453+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.00501","created_at":"2026-07-05T00:52:11.212453+00:00"},{"alias_kind":"pith_short_12","alias_value":"ABX3AXEG6UAJ","created_at":"2026-07-05T00:52:11.212453+00:00"},{"alias_kind":"pith_short_16","alias_value":"ABX3AXEG6UAJXJTW","created_at":"2026-07-05T00:52:11.212453+00:00"},{"alias_kind":"pith_short_8","alias_value":"ABX3AXEG","created_at":"2026-07-05T00:52:11.212453+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ABX3AXEG6UAJXJTWBYNSKKACX5","json":"https://pith.science/pith/ABX3AXEG6UAJXJTWBYNSKKACX5.json","graph_json":"https://pith.science/api/pith-number/ABX3AXEG6UAJXJTWBYNSKKACX5/graph.json","events_json":"https://pith.science/api/pith-number/ABX3AXEG6UAJXJTWBYNSKKACX5/events.json","paper":"https://pith.science/paper/ABX3AXEG"},"agent_actions":{"view_html":"https://pith.science/pith/ABX3AXEG6UAJXJTWBYNSKKACX5","download_json":"https://pith.science/pith/ABX3AXEG6UAJXJTWBYNSKKACX5.json","view_paper":"https://pith.science/paper/ABX3AXEG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2004.00501&json=true","fetch_graph":"https://pith.science/api/pith-number/ABX3AXEG6UAJXJTWBYNSKKACX5/graph.json","fetch_events":"https://pith.science/api/pith-number/ABX3AXEG6UAJXJTWBYNSKKACX5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ABX3AXEG6UAJXJTWBYNSKKACX5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ABX3AXEG6UAJXJTWBYNSKKACX5/action/storage_attestation","attest_author":"https://pith.science/pith/ABX3AXEG6UAJXJTWBYNSKKACX5/action/author_attestation","sign_citation":"https://pith.science/pith/ABX3AXEG6UAJXJTWBYNSKKACX5/action/citation_signature","submit_replication":"https://pith.science/pith/ABX3AXEG6UAJXJTWBYNSKKACX5/action/replication_record"}},"created_at":"2026-07-05T00:52:11.212453+00:00","updated_at":"2026-07-05T00:52:11.212453+00:00"}