{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:LUEZKEAPCWVZLZ4EVPP4UC3GWS","short_pith_number":"pith:LUEZKEAP","schema_version":"1.0","canonical_sha256":"5d0995100f15ab95e784abdfca0b66b4a896ff15f84b32cbb1df6583617c56fa","source":{"kind":"arxiv","id":"1811.02411","version":1},"attestation_state":"computed","paper":{"title":"An audio-only method for advertisement detection in broadcast television content","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Ant\\'onio Ramires, Diogo Cocharro, Matthew E. P. Davies","submitted_at":"2018-11-06T15:28:26Z","abstract_excerpt":"We address the task of advertisement detection in broadcast television content. While typically approached from a video-only or audio-visual perspective, we present an audio-only method. Our approach centres on the detection of short silences which exist at the boundaries between programming and advertising, as well as between the advertisements themselves. To identify advertising regions we first locate all points within the broadcast content with very low signal energy. Next, we use a multiple linear regression model to reject non-boundary silences based on features extracted from the local "},"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":"1811.02411","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-11-06T15:28:26Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"3949f65bc932d5a1248ae07589f6cfce8b21c2d9eb5ef6f549d089828652d072","abstract_canon_sha256":"4b5b2307e5d593ef015d81aec99df89ce483aa022e2d9f75589d8856a0532ed2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:01:24.359087Z","signature_b64":"/FodjmFxn89LmCaya+xi5AdaiDepQwDgVvoBWPVHM15LbBC5y2A27wz8JjPOdFqKNCh739wf8nLi4XGtIZEdAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5d0995100f15ab95e784abdfca0b66b4a896ff15f84b32cbb1df6583617c56fa","last_reissued_at":"2026-05-18T00:01:24.358671Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:01:24.358671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An audio-only method for advertisement detection in broadcast television content","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Ant\\'onio Ramires, Diogo Cocharro, Matthew E. P. Davies","submitted_at":"2018-11-06T15:28:26Z","abstract_excerpt":"We address the task of advertisement detection in broadcast television content. While typically approached from a video-only or audio-visual perspective, we present an audio-only method. Our approach centres on the detection of short silences which exist at the boundaries between programming and advertising, as well as between the advertisements themselves. To identify advertising regions we first locate all points within the broadcast content with very low signal energy. Next, we use a multiple linear regression model to reject non-boundary silences based on features extracted from the local "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.02411","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":""},"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":"1811.02411","created_at":"2026-05-18T00:01:24.358731+00:00"},{"alias_kind":"arxiv_version","alias_value":"1811.02411v1","created_at":"2026-05-18T00:01:24.358731+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.02411","created_at":"2026-05-18T00:01:24.358731+00:00"},{"alias_kind":"pith_short_12","alias_value":"LUEZKEAPCWVZ","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_16","alias_value":"LUEZKEAPCWVZLZ4E","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_8","alias_value":"LUEZKEAP","created_at":"2026-05-18T12:32:37.024351+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/LUEZKEAPCWVZLZ4EVPP4UC3GWS","json":"https://pith.science/pith/LUEZKEAPCWVZLZ4EVPP4UC3GWS.json","graph_json":"https://pith.science/api/pith-number/LUEZKEAPCWVZLZ4EVPP4UC3GWS/graph.json","events_json":"https://pith.science/api/pith-number/LUEZKEAPCWVZLZ4EVPP4UC3GWS/events.json","paper":"https://pith.science/paper/LUEZKEAP"},"agent_actions":{"view_html":"https://pith.science/pith/LUEZKEAPCWVZLZ4EVPP4UC3GWS","download_json":"https://pith.science/pith/LUEZKEAPCWVZLZ4EVPP4UC3GWS.json","view_paper":"https://pith.science/paper/LUEZKEAP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1811.02411&json=true","fetch_graph":"https://pith.science/api/pith-number/LUEZKEAPCWVZLZ4EVPP4UC3GWS/graph.json","fetch_events":"https://pith.science/api/pith-number/LUEZKEAPCWVZLZ4EVPP4UC3GWS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LUEZKEAPCWVZLZ4EVPP4UC3GWS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LUEZKEAPCWVZLZ4EVPP4UC3GWS/action/storage_attestation","attest_author":"https://pith.science/pith/LUEZKEAPCWVZLZ4EVPP4UC3GWS/action/author_attestation","sign_citation":"https://pith.science/pith/LUEZKEAPCWVZLZ4EVPP4UC3GWS/action/citation_signature","submit_replication":"https://pith.science/pith/LUEZKEAPCWVZLZ4EVPP4UC3GWS/action/replication_record"}},"created_at":"2026-05-18T00:01:24.358731+00:00","updated_at":"2026-05-18T00:01:24.358731+00:00"}