{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:BDJ6YB65FBH36UH6FNBEYNK6OX","short_pith_number":"pith:BDJ6YB65","canonical_record":{"source":{"id":"1707.06231","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2017-07-19T16:37:23Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d3acbe705babd4711903e6a3958ed457c2a29ea8a81c5bc6f0aadd7c49a3d640","abstract_canon_sha256":"b8f5fba3701b232835dbd0e610372292fca526432700e2b4aaffd4918374a425"},"schema_version":"1.0"},"canonical_sha256":"08d3ec07dd284fbf50fe2b424c355e75efd0767690070b566763051b74cef862","source":{"kind":"arxiv","id":"1707.06231","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.06231","created_at":"2026-05-18T00:39:54Z"},{"alias_kind":"arxiv_version","alias_value":"1707.06231v1","created_at":"2026-05-18T00:39:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.06231","created_at":"2026-05-18T00:39:54Z"},{"alias_kind":"pith_short_12","alias_value":"BDJ6YB65FBH3","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BDJ6YB65FBH36UH6","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BDJ6YB65","created_at":"2026-05-18T12:31:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:BDJ6YB65FBH36UH6FNBEYNK6OX","target":"record","payload":{"canonical_record":{"source":{"id":"1707.06231","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2017-07-19T16:37:23Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d3acbe705babd4711903e6a3958ed457c2a29ea8a81c5bc6f0aadd7c49a3d640","abstract_canon_sha256":"b8f5fba3701b232835dbd0e610372292fca526432700e2b4aaffd4918374a425"},"schema_version":"1.0"},"canonical_sha256":"08d3ec07dd284fbf50fe2b424c355e75efd0767690070b566763051b74cef862","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:54.379000Z","signature_b64":"IuRnBLitaje9yJ3epAv1RRlGnrownuwGv+DvIHPCBKgnAp0s5WCT+879HoaLsVwO5qNyD7yUQbRNO9W2BJECBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"08d3ec07dd284fbf50fe2b424c355e75efd0767690070b566763051b74cef862","last_reissued_at":"2026-05-18T00:39:54.378361Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:54.378361Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.06231","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:39:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hSgE5YeO/nWhTzinysGAuSLsGE03CuKWQARgt05WYGwRvti8oe244p3tEwjyZxkDGcBRaxeQpSiH3dfbCyG5Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T23:43:28.458535Z"},"content_sha256":"ea6fef32d937bf331f7fedd3a38ff41aeccbcd7aa4125606111c1fa3c47efbbd","schema_version":"1.0","event_id":"sha256:ea6fef32d937bf331f7fedd3a38ff41aeccbcd7aa4125606111c1fa3c47efbbd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:BDJ6YB65FBH36UH6FNBEYNK6OX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.SD","authors_text":"Carlos Cancino-Chac\\'on, Kat Agres, Maarten Grachten","submitted_at":"2017-07-19T16:37:23Z","abstract_excerpt":"Tonal structure is in part conveyed by statistical regularities between musical events, and research has shown that computational models reflect tonal structure in music by capturing these regularities in schematic constructs like pitch histograms. Of the few studies that model the acquisition of perceptual learning from musical data, most have employed self-organizing models that learn a topology of static descriptions of musical contexts. Also, the stimuli used to train these models are often symbolic rather than acoustically faithful representations of musical material. In this work we inve"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.06231","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:39:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KnN/J9uZxlmjGl0LqKC6zElAKT0AKaeNd3aO44zjTOBaUIhpeZC+SRkhH4HixX+bN4iJLDgzGC++RPnDILa2CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T23:43:28.459147Z"},"content_sha256":"da3bbb8540c651cc1ab0db01dc42d5c1946b166d84eac76cd4ff269d6542f4c3","schema_version":"1.0","event_id":"sha256:da3bbb8540c651cc1ab0db01dc42d5c1946b166d84eac76cd4ff269d6542f4c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BDJ6YB65FBH36UH6FNBEYNK6OX/bundle.json","state_url":"https://pith.science/pith/BDJ6YB65FBH36UH6FNBEYNK6OX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BDJ6YB65FBH36UH6FNBEYNK6OX/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-25T23:43:28Z","links":{"resolver":"https://pith.science/pith/BDJ6YB65FBH36UH6FNBEYNK6OX","bundle":"https://pith.science/pith/BDJ6YB65FBH36UH6FNBEYNK6OX/bundle.json","state":"https://pith.science/pith/BDJ6YB65FBH36UH6FNBEYNK6OX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BDJ6YB65FBH36UH6FNBEYNK6OX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:BDJ6YB65FBH36UH6FNBEYNK6OX","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":"b8f5fba3701b232835dbd0e610372292fca526432700e2b4aaffd4918374a425","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2017-07-19T16:37:23Z","title_canon_sha256":"d3acbe705babd4711903e6a3958ed457c2a29ea8a81c5bc6f0aadd7c49a3d640"},"schema_version":"1.0","source":{"id":"1707.06231","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.06231","created_at":"2026-05-18T00:39:54Z"},{"alias_kind":"arxiv_version","alias_value":"1707.06231v1","created_at":"2026-05-18T00:39:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.06231","created_at":"2026-05-18T00:39:54Z"},{"alias_kind":"pith_short_12","alias_value":"BDJ6YB65FBH3","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BDJ6YB65FBH36UH6","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BDJ6YB65","created_at":"2026-05-18T12:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:da3bbb8540c651cc1ab0db01dc42d5c1946b166d84eac76cd4ff269d6542f4c3","target":"graph","created_at":"2026-05-18T00:39:54Z","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":"Tonal structure is in part conveyed by statistical regularities between musical events, and research has shown that computational models reflect tonal structure in music by capturing these regularities in schematic constructs like pitch histograms. Of the few studies that model the acquisition of perceptual learning from musical data, most have employed self-organizing models that learn a topology of static descriptions of musical contexts. Also, the stimuli used to train these models are often symbolic rather than acoustically faithful representations of musical material. In this work we inve","authors_text":"Carlos Cancino-Chac\\'on, Kat Agres, Maarten Grachten","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2017-07-19T16:37:23Z","title":"From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.06231","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:ea6fef32d937bf331f7fedd3a38ff41aeccbcd7aa4125606111c1fa3c47efbbd","target":"record","created_at":"2026-05-18T00:39:54Z","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":"b8f5fba3701b232835dbd0e610372292fca526432700e2b4aaffd4918374a425","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2017-07-19T16:37:23Z","title_canon_sha256":"d3acbe705babd4711903e6a3958ed457c2a29ea8a81c5bc6f0aadd7c49a3d640"},"schema_version":"1.0","source":{"id":"1707.06231","kind":"arxiv","version":1}},"canonical_sha256":"08d3ec07dd284fbf50fe2b424c355e75efd0767690070b566763051b74cef862","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"08d3ec07dd284fbf50fe2b424c355e75efd0767690070b566763051b74cef862","first_computed_at":"2026-05-18T00:39:54.378361Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:39:54.378361Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IuRnBLitaje9yJ3epAv1RRlGnrownuwGv+DvIHPCBKgnAp0s5WCT+879HoaLsVwO5qNyD7yUQbRNO9W2BJECBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:39:54.379000Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.06231","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea6fef32d937bf331f7fedd3a38ff41aeccbcd7aa4125606111c1fa3c47efbbd","sha256:da3bbb8540c651cc1ab0db01dc42d5c1946b166d84eac76cd4ff269d6542f4c3"],"state_sha256":"6119c735beca72106c594b839896288249adb43670f9d488a421462b34ed1df8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jG3PxIE42bjJpJJY7s9bYygmeiH84xdosjEqchxCgZiIH2Uy+eTMts9BODF4/8l+kXW9SALZf5sbBKNZ2SVaBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T23:43:28.462707Z","bundle_sha256":"fac3c6f4529c39f4369d30e14b032085483d3d89e416544ce33ff49760a36e29"}}