{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JXXDY5NWJGEKTCNNBLNV2HVASV","short_pith_number":"pith:JXXDY5NW","canonical_record":{"source":{"id":"2607.27909","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2026-07-30T09:22:54Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6368e4271666341bbedeefb7578e16a32e87a19ccd2f871a2e844ad94b711a0c","abstract_canon_sha256":"04fe4cefbb995d447164e179c1c7f85d6d649500ee4ac81a375b47bd1d633127"},"schema_version":"1.0"},"canonical_sha256":"4dee3c75b64988a989ad0adb5d1ea09575e1cd83a8390d8e2ced153ea5771a58","source":{"kind":"arxiv","id":"2607.27909","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27909","created_at":"2026-07-31T01:34:46Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27909v1","created_at":"2026-07-31T01:34:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27909","created_at":"2026-07-31T01:34:46Z"},{"alias_kind":"pith_short_12","alias_value":"JXXDY5NWJGEK","created_at":"2026-07-31T01:34:46Z"},{"alias_kind":"pith_short_16","alias_value":"JXXDY5NWJGEKTCNN","created_at":"2026-07-31T01:34:46Z"},{"alias_kind":"pith_short_8","alias_value":"JXXDY5NW","created_at":"2026-07-31T01:34:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JXXDY5NWJGEKTCNNBLNV2HVASV","target":"record","payload":{"canonical_record":{"source":{"id":"2607.27909","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2026-07-30T09:22:54Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6368e4271666341bbedeefb7578e16a32e87a19ccd2f871a2e844ad94b711a0c","abstract_canon_sha256":"04fe4cefbb995d447164e179c1c7f85d6d649500ee4ac81a375b47bd1d633127"},"schema_version":"1.0"},"canonical_sha256":"4dee3c75b64988a989ad0adb5d1ea09575e1cd83a8390d8e2ced153ea5771a58","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4dee3c75b64988a989ad0adb5d1ea09575e1cd83a8390d8e2ced153ea5771a58","last_reissued_at":"2026-07-31T01:34:46.650909Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-31T01:34:46.650909Z"},"source_kind":"arxiv","source_id":"2607.27909","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":"2026-07-31T01:34:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/2/WjHy0XKNeH6OAR6/f1iWjXFdHvy+tPR4XUcIucn4l6aIXlBk8x5MAmSX0srYLTK/VU4v5gTQGetJ0HQGDDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T04:55:14.010352Z"},"content_sha256":"a6b98dc554028d9987aadf4895d054f4c5cce75a89449111e186b88fa9af7070","schema_version":"1.0","event_id":"sha256:a6b98dc554028d9987aadf4895d054f4c5cce75a89449111e186b88fa9af7070"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JXXDY5NWJGEKTCNNBLNV2HVASV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Integrating Contextual Embeddings into Evaluation of Expressive MIDI Piano Performances","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.SD","authors_text":"Dmitrii Gavrilev, Ilya Borovik, Vladimir Viro","submitted_at":"2026-07-30T09:22:54Z","abstract_excerpt":"Objective evaluation of expressive MIDI piano performances typically relies on attribute statistics such as timing, velocity, and duration of individual notes. However, these methods often disregard dependencies between notes, which poses a potential limitation in assessing the similarity between two sets of performances. In generative applications, the wide variety of expressive attributes makes it difficult to aggregate them into a single scalar metric for model selection. In this work, we reexamine attribute-scoped metrics and explore the perceptual properties of contextual embeddings from "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27909","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.27909/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-31T01:34:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gHR/zYkb1UZUYY/YN+Z3SHPoWRlC6PlGAzVGzjsC7JI5SGt3WUWJtDNV+gja7fRtCYJqkDAZIHR3C+JalSBAAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T04:55:14.010844Z"},"content_sha256":"322d6fdee235f6b94e1c067bec8f72e7a3b3ee41e06f82583945cb005cd0b2e7","schema_version":"1.0","event_id":"sha256:322d6fdee235f6b94e1c067bec8f72e7a3b3ee41e06f82583945cb005cd0b2e7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JXXDY5NWJGEKTCNNBLNV2HVASV/bundle.json","state_url":"https://pith.science/pith/JXXDY5NWJGEKTCNNBLNV2HVASV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JXXDY5NWJGEKTCNNBLNV2HVASV/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":"2026-08-04T04:55:14Z","links":{"resolver":"https://pith.science/pith/JXXDY5NWJGEKTCNNBLNV2HVASV","bundle":"https://pith.science/pith/JXXDY5NWJGEKTCNNBLNV2HVASV/bundle.json","state":"https://pith.science/pith/JXXDY5NWJGEKTCNNBLNV2HVASV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JXXDY5NWJGEKTCNNBLNV2HVASV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JXXDY5NWJGEKTCNNBLNV2HVASV","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":"04fe4cefbb995d447164e179c1c7f85d6d649500ee4ac81a375b47bd1d633127","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2026-07-30T09:22:54Z","title_canon_sha256":"6368e4271666341bbedeefb7578e16a32e87a19ccd2f871a2e844ad94b711a0c"},"schema_version":"1.0","source":{"id":"2607.27909","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27909","created_at":"2026-07-31T01:34:46Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27909v1","created_at":"2026-07-31T01:34:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27909","created_at":"2026-07-31T01:34:46Z"},{"alias_kind":"pith_short_12","alias_value":"JXXDY5NWJGEK","created_at":"2026-07-31T01:34:46Z"},{"alias_kind":"pith_short_16","alias_value":"JXXDY5NWJGEKTCNN","created_at":"2026-07-31T01:34:46Z"},{"alias_kind":"pith_short_8","alias_value":"JXXDY5NW","created_at":"2026-07-31T01:34:46Z"}],"graph_snapshots":[{"event_id":"sha256:322d6fdee235f6b94e1c067bec8f72e7a3b3ee41e06f82583945cb005cd0b2e7","target":"graph","created_at":"2026-07-31T01:34:46Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2607.27909/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Objective evaluation of expressive MIDI piano performances typically relies on attribute statistics such as timing, velocity, and duration of individual notes. However, these methods often disregard dependencies between notes, which poses a potential limitation in assessing the similarity between two sets of performances. In generative applications, the wide variety of expressive attributes makes it difficult to aggregate them into a single scalar metric for model selection. In this work, we reexamine attribute-scoped metrics and explore the perceptual properties of contextual embeddings from ","authors_text":"Dmitrii Gavrilev, Ilya Borovik, Vladimir Viro","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2026-07-30T09:22:54Z","title":"Integrating Contextual Embeddings into Evaluation of Expressive MIDI Piano Performances"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27909","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:a6b98dc554028d9987aadf4895d054f4c5cce75a89449111e186b88fa9af7070","target":"record","created_at":"2026-07-31T01:34:46Z","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":"04fe4cefbb995d447164e179c1c7f85d6d649500ee4ac81a375b47bd1d633127","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2026-07-30T09:22:54Z","title_canon_sha256":"6368e4271666341bbedeefb7578e16a32e87a19ccd2f871a2e844ad94b711a0c"},"schema_version":"1.0","source":{"id":"2607.27909","kind":"arxiv","version":1}},"canonical_sha256":"4dee3c75b64988a989ad0adb5d1ea09575e1cd83a8390d8e2ced153ea5771a58","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4dee3c75b64988a989ad0adb5d1ea09575e1cd83a8390d8e2ced153ea5771a58","first_computed_at":"2026-07-31T01:34:46.650909Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T01:34:46.650909Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.27909","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6b98dc554028d9987aadf4895d054f4c5cce75a89449111e186b88fa9af7070","sha256:322d6fdee235f6b94e1c067bec8f72e7a3b3ee41e06f82583945cb005cd0b2e7"],"state_sha256":"5a6d9f4f7e0f98175344ea2c6a8863d0082c07311c2ce445e7a009e77ad0d8b4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q/va3uM1HLDX5V7GuRHHaownICh9siyuK6F3Mnt/3FmCkjwXc1RC6mPvMoJx+95/XuZxwAvlmWTNSrxXc3wbCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T04:55:14.014256Z","bundle_sha256":"d524162576e1e5ab47aaf213c0abc18912c519326d24749ce02bdde86feaf478"}}