{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:OHUFK4ZXDVLY2J52HBLJ43DO53","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"0d7d4e1a2327d1c933f328a80a09338524d4faef19ba493fb7d7a19e1c1fe347","cross_cats_sorted":["cs.AI","cs.MM","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-27T16:48:03Z","title_canon_sha256":"e59a0b6592af01c91435de1bfd5ab55dace00a0f25c68a3ab71c363aca09c805"},"schema_version":"1.0","source":{"id":"1703.09179","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.09179","created_at":"2026-05-18T00:35:16Z"},{"alias_kind":"arxiv_version","alias_value":"1703.09179v4","created_at":"2026-05-18T00:35:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.09179","created_at":"2026-05-18T00:35:16Z"},{"alias_kind":"pith_short_12","alias_value":"OHUFK4ZXDVLY","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_16","alias_value":"OHUFK4ZXDVLY2J52","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_8","alias_value":"OHUFK4ZX","created_at":"2026-05-18T12:31:34Z"}],"graph_snapshots":[{"event_id":"sha256:a625c07dd37f83e37cd84beffc72cc5c8e95b97c8a8c37a450b6009018ee4105","target":"graph","created_at":"2026-05-18T00:35:16Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"In this paper, we present a transfer learning approach for music classification and regression tasks. We propose to use a pre-trained convnet feature, a concatenated feature vector using the activations of feature maps of multiple layers in a trained convolutional network. We show how this convnet feature can serve as general-purpose music representation. In the experiments, a convnet is trained for music tagging and then transferred to other music-related classification and regression tasks. The convnet feature outperforms the baseline MFCC feature in all the considered tasks and several prev","authors_text":"Gy\\\"orgy Fazekas, Keunwoo Choi, Kyunghyun Cho, Mark Sandler","cross_cats":["cs.AI","cs.MM","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-27T16:48:03Z","title":"Transfer learning for music classification and regression tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.09179","kind":"arxiv","version":4},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:364680b7de2cbd207407ab0c44d906967f7b5d4d8bdb193c3c194f1ca45bf7a9","target":"record","created_at":"2026-05-18T00:35:16Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"0d7d4e1a2327d1c933f328a80a09338524d4faef19ba493fb7d7a19e1c1fe347","cross_cats_sorted":["cs.AI","cs.MM","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-27T16:48:03Z","title_canon_sha256":"e59a0b6592af01c91435de1bfd5ab55dace00a0f25c68a3ab71c363aca09c805"},"schema_version":"1.0","source":{"id":"1703.09179","kind":"arxiv","version":4}},"canonical_sha256":"71e85573371d578d27ba38569e6c6eeeee1faf35b59b7e1e91ab6fa94b24a983","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71e85573371d578d27ba38569e6c6eeeee1faf35b59b7e1e91ab6fa94b24a983","first_computed_at":"2026-05-18T00:35:16.340945Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:16.340945Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6JWFBhC+Zm1RGkw+z+ABmR6n+hublE5A7qwmLswi3yt2G/0hqpaSGAjLTtWKfexIBop+mo98NqeDGzDuqHyYAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:16.341560Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.09179","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:364680b7de2cbd207407ab0c44d906967f7b5d4d8bdb193c3c194f1ca45bf7a9","sha256:a625c07dd37f83e37cd84beffc72cc5c8e95b97c8a8c37a450b6009018ee4105"],"state_sha256":"ada0aa726b27eb862e58a23ea8b892d6b78d55706d3b4b06d69f8dddd1676f27"}