{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:QXMCLPTFBIOFT6DR37KGITAH2I","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":"3f09b2e3b780f2cc406dd17feb1134188e44603b457236f1ab6a2cbf85146913","cross_cats_sorted":["cs.CL","cs.IR","cs.LG","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2017-11-30T08:27:08Z","title_canon_sha256":"21e064a6dcb95ba1c627a2fbcc9424ee5efc3401b1d2780e4e82ba8e9ed84dde"},"schema_version":"1.0","source":{"id":"1712.00334","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.00334","created_at":"2026-05-18T00:29:06Z"},{"alias_kind":"arxiv_version","alias_value":"1712.00334v1","created_at":"2026-05-18T00:29:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.00334","created_at":"2026-05-18T00:29:06Z"},{"alias_kind":"pith_short_12","alias_value":"QXMCLPTFBIOF","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"QXMCLPTFBIOFT6DR","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"QXMCLPTF","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:f0ef8bcef13f6d5806de2214b2a089d68e2fbc89918b631924e45f218ebce55e","target":"graph","created_at":"2026-05-18T00:29:06Z","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":"The present methodology is aimed at cross-modal machine learning and uses multidisciplinary tools and methods drawn from a broad range of areas and disciplines, including music, systematic musicology, dance, motion capture, human-computer interaction, computational linguistics and audio signal processing. Main tasks include: (1) adapting wisdom-of-the-crowd approaches to embodiment in music and dance performance to create a dataset of music and music lyrics that covers a variety of emotions, (2) applying audio/language-informed machine learning techniques to that dataset to identify automatica","authors_text":"Fabio Paolizzo","cross_cats":["cs.CL","cs.IR","cs.LG","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2017-11-30T08:27:08Z","title":"Enabling Embodied Analogies in Intelligent Music Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.00334","kind":"arxiv","version":1},"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":"sha256:326f5cebccdf37426c296d0f9ae2740f0195d80ed93750750aa16b49fd906db1","target":"record","created_at":"2026-05-18T00:29:06Z","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":"3f09b2e3b780f2cc406dd17feb1134188e44603b457236f1ab6a2cbf85146913","cross_cats_sorted":["cs.CL","cs.IR","cs.LG","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2017-11-30T08:27:08Z","title_canon_sha256":"21e064a6dcb95ba1c627a2fbcc9424ee5efc3401b1d2780e4e82ba8e9ed84dde"},"schema_version":"1.0","source":{"id":"1712.00334","kind":"arxiv","version":1}},"canonical_sha256":"85d825be650a1c59f871dfd4644c07d20a82b0ba5b4d060d3d0953391e8db826","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"85d825be650a1c59f871dfd4644c07d20a82b0ba5b4d060d3d0953391e8db826","first_computed_at":"2026-05-18T00:29:06.544214Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:29:06.544214Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YT7bFQiiovH9rSsP2+m5GE5tGpkd89ehszDKXpWE4/QVPzU3tYGVDclsExMNMgZgUSWKOtQZEeCuF/W5NQLtCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:29:06.544926Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.00334","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:326f5cebccdf37426c296d0f9ae2740f0195d80ed93750750aa16b49fd906db1","sha256:f0ef8bcef13f6d5806de2214b2a089d68e2fbc89918b631924e45f218ebce55e"],"state_sha256":"4290b9fbe189bd76ad8527ece69b4d16ef0036faf5a597f8ea812471f5b5c2eb"}