{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:VE6N7FABJRGMB63XUCZNL7H3AZ","short_pith_number":"pith:VE6N7FAB","schema_version":"1.0","canonical_sha256":"a93cdf94014c4cc0fb77a0b2d5fcfb066bfb768701554e1e31160c125373cb17","source":{"kind":"arxiv","id":"2503.16862","version":2},"attestation_state":"computed","paper":{"title":"Improving Acoustic Scene Classification with City Features","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","eess.AS"],"primary_cat":"cs.SD","authors_text":"Mark D. Plumbley, Shengchen Li, Xi Shao, Yiqiang Cai, Yizhou Tan","submitted_at":"2025-03-21T05:24:48Z","abstract_excerpt":"Acoustic scene recordings are often collected from a diverse range of cities. Most existing acoustic scene classification (ASC) approaches focus on identifying common acoustic scene patterns across cities to enhance generalization. However, the potential acoustic differences introduced by city-specific environmental and cultural factors are overlooked. In this paper, we hypothesize that the city-specific acoustic features are beneficial for the ASC task rather than being treated as noise or bias. To this end, we propose City2Scene, a novel framework that leverages city features to improve ASC."},"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":"2503.16862","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-03-21T05:24:48Z","cross_cats_sorted":["cs.CV","eess.AS"],"title_canon_sha256":"a83562b04ff74443c9fc0821738d65b3d90f7f18314ed47bf8d247367a78ac0c","abstract_canon_sha256":"7ad8652b6d166315e5df07f52e27c946ee45288f7c3ba2f9a6cf6ea58bc5b124"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:20:51.794695Z","signature_b64":"WnVml8tvVH/uOzapN8bzNVcDvXwepKlhG6Fmu9tv6Y6re+C3qA63hwl+BAE7+hRqEqDovTUTVz5KkRKbjn5fDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a93cdf94014c4cc0fb77a0b2d5fcfb066bfb768701554e1e31160c125373cb17","last_reissued_at":"2026-07-05T11:20:51.794088Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:20:51.794088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Improving Acoustic Scene Classification with City Features","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","eess.AS"],"primary_cat":"cs.SD","authors_text":"Mark D. Plumbley, Shengchen Li, Xi Shao, Yiqiang Cai, Yizhou Tan","submitted_at":"2025-03-21T05:24:48Z","abstract_excerpt":"Acoustic scene recordings are often collected from a diverse range of cities. Most existing acoustic scene classification (ASC) approaches focus on identifying common acoustic scene patterns across cities to enhance generalization. However, the potential acoustic differences introduced by city-specific environmental and cultural factors are overlooked. In this paper, we hypothesize that the city-specific acoustic features are beneficial for the ASC task rather than being treated as noise or bias. To this end, we propose City2Scene, a novel framework that leverages city features to improve ASC."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.16862","kind":"arxiv","version":2},"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/2503.16862/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":"2503.16862","created_at":"2026-07-05T11:20:51.794170+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.16862v2","created_at":"2026-07-05T11:20:51.794170+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.16862","created_at":"2026-07-05T11:20:51.794170+00:00"},{"alias_kind":"pith_short_12","alias_value":"VE6N7FABJRGM","created_at":"2026-07-05T11:20:51.794170+00:00"},{"alias_kind":"pith_short_16","alias_value":"VE6N7FABJRGMB63X","created_at":"2026-07-05T11:20:51.794170+00:00"},{"alias_kind":"pith_short_8","alias_value":"VE6N7FAB","created_at":"2026-07-05T11:20:51.794170+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/VE6N7FABJRGMB63XUCZNL7H3AZ","json":"https://pith.science/pith/VE6N7FABJRGMB63XUCZNL7H3AZ.json","graph_json":"https://pith.science/api/pith-number/VE6N7FABJRGMB63XUCZNL7H3AZ/graph.json","events_json":"https://pith.science/api/pith-number/VE6N7FABJRGMB63XUCZNL7H3AZ/events.json","paper":"https://pith.science/paper/VE6N7FAB"},"agent_actions":{"view_html":"https://pith.science/pith/VE6N7FABJRGMB63XUCZNL7H3AZ","download_json":"https://pith.science/pith/VE6N7FABJRGMB63XUCZNL7H3AZ.json","view_paper":"https://pith.science/paper/VE6N7FAB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.16862&json=true","fetch_graph":"https://pith.science/api/pith-number/VE6N7FABJRGMB63XUCZNL7H3AZ/graph.json","fetch_events":"https://pith.science/api/pith-number/VE6N7FABJRGMB63XUCZNL7H3AZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VE6N7FABJRGMB63XUCZNL7H3AZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VE6N7FABJRGMB63XUCZNL7H3AZ/action/storage_attestation","attest_author":"https://pith.science/pith/VE6N7FABJRGMB63XUCZNL7H3AZ/action/author_attestation","sign_citation":"https://pith.science/pith/VE6N7FABJRGMB63XUCZNL7H3AZ/action/citation_signature","submit_replication":"https://pith.science/pith/VE6N7FABJRGMB63XUCZNL7H3AZ/action/replication_record"}},"created_at":"2026-07-05T11:20:51.794170+00:00","updated_at":"2026-07-05T11:20:51.794170+00:00"}