{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:26ZVLZMSAU72DULBNOBL2P5N7X","short_pith_number":"pith:26ZVLZMS","canonical_record":{"source":{"id":"2405.12105","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-20T15:21:48Z","cross_cats_sorted":[],"title_canon_sha256":"3760d8e2d2355e53c8a8537693ead43910e66dd6a76ad88c7edbf574ccf900f2","abstract_canon_sha256":"60766e3343ca47d63f99912b94db672c115935483981df23abc930b46f2e89de"},"schema_version":"1.0"},"canonical_sha256":"d7b355e592053fa1d1616b82bd3fadfde25e5bc8f8af3a903304f61b71b492f8","source":{"kind":"arxiv","id":"2405.12105","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.12105","created_at":"2026-07-05T11:28:10Z"},{"alias_kind":"arxiv_version","alias_value":"2405.12105v4","created_at":"2026-07-05T11:28:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.12105","created_at":"2026-07-05T11:28:10Z"},{"alias_kind":"pith_short_12","alias_value":"26ZVLZMSAU72","created_at":"2026-07-05T11:28:10Z"},{"alias_kind":"pith_short_16","alias_value":"26ZVLZMSAU72DULB","created_at":"2026-07-05T11:28:10Z"},{"alias_kind":"pith_short_8","alias_value":"26ZVLZMS","created_at":"2026-07-05T11:28:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:26ZVLZMSAU72DULBNOBL2P5N7X","target":"record","payload":{"canonical_record":{"source":{"id":"2405.12105","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-20T15:21:48Z","cross_cats_sorted":[],"title_canon_sha256":"3760d8e2d2355e53c8a8537693ead43910e66dd6a76ad88c7edbf574ccf900f2","abstract_canon_sha256":"60766e3343ca47d63f99912b94db672c115935483981df23abc930b46f2e89de"},"schema_version":"1.0"},"canonical_sha256":"d7b355e592053fa1d1616b82bd3fadfde25e5bc8f8af3a903304f61b71b492f8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:28:10.299449Z","signature_b64":"ldUniIgyuifgV8kmkez75hxGa0T0o95pD0o4oZsj7nugt1KlMKPzCQloLrU0j3I5NByKOQ290FfUZe8iN1nqCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d7b355e592053fa1d1616b82bd3fadfde25e5bc8f8af3a903304f61b71b492f8","last_reissued_at":"2026-07-05T11:28:10.298909Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:28:10.298909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.12105","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:28:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tnd0JzevUZuIJweNs32O9ca5EpMnQNaULPRfxIhcCEow3VL8PJ6QKrnzmpV/oWqw5H8L3CaqpnlxN++Alc3WAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:54:41.970302Z"},"content_sha256":"1fcce29d9b62e030fd02c34e19db1cb6dc5b61cf67b6f2e528eb80af77349e71","schema_version":"1.0","event_id":"sha256:1fcce29d9b62e030fd02c34e19db1cb6dc5b61cf67b6f2e528eb80af77349e71"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:26ZVLZMSAU72DULBNOBL2P5N7X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"End-to-End Full-Page Optical Music Recognition for Pianoform Sheet Music","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Antonio R\\'ios-Vila, David Rizo, Jorge Calvo-Zaragoza, Thierry Paquet","submitted_at":"2024-05-20T15:21:48Z","abstract_excerpt":"Optical Music Recognition (OMR) has made significant progress since its inception, with various approaches now capable of accurately transcribing music scores into digital formats. Despite these advancements, most so-called end-to-end OMR approaches still rely on multi-stage processing pipelines for transcribing full-page score images, which entails challenges such as the need for dedicated layout analysis and specific annotated data, thereby limiting the general applicability of such methods. In this paper, we present the first truly end-to-end approach for page-level OMR in complex layouts. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.12105","kind":"arxiv","version":4},"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/2405.12105/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":"2026-07-05T11:28:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Suf5FZ2WG+ZjWXKnsZxZ04yEerz3nlI983/QtOJ5jCnXM4GINy/qpBohXTGu4GKNHjxG54pM5NdPbk2Kk4KODQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:54:41.971353Z"},"content_sha256":"523f3bcd6b630fbfffba53804f75672b4040a17239e10a21a1d7c9a412f481e4","schema_version":"1.0","event_id":"sha256:523f3bcd6b630fbfffba53804f75672b4040a17239e10a21a1d7c9a412f481e4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/26ZVLZMSAU72DULBNOBL2P5N7X/bundle.json","state_url":"https://pith.science/pith/26ZVLZMSAU72DULBNOBL2P5N7X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/26ZVLZMSAU72DULBNOBL2P5N7X/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":"2026-08-03T16:54:41Z","links":{"resolver":"https://pith.science/pith/26ZVLZMSAU72DULBNOBL2P5N7X","bundle":"https://pith.science/pith/26ZVLZMSAU72DULBNOBL2P5N7X/bundle.json","state":"https://pith.science/pith/26ZVLZMSAU72DULBNOBL2P5N7X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/26ZVLZMSAU72DULBNOBL2P5N7X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:26ZVLZMSAU72DULBNOBL2P5N7X","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":"60766e3343ca47d63f99912b94db672c115935483981df23abc930b46f2e89de","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-20T15:21:48Z","title_canon_sha256":"3760d8e2d2355e53c8a8537693ead43910e66dd6a76ad88c7edbf574ccf900f2"},"schema_version":"1.0","source":{"id":"2405.12105","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.12105","created_at":"2026-07-05T11:28:10Z"},{"alias_kind":"arxiv_version","alias_value":"2405.12105v4","created_at":"2026-07-05T11:28:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.12105","created_at":"2026-07-05T11:28:10Z"},{"alias_kind":"pith_short_12","alias_value":"26ZVLZMSAU72","created_at":"2026-07-05T11:28:10Z"},{"alias_kind":"pith_short_16","alias_value":"26ZVLZMSAU72DULB","created_at":"2026-07-05T11:28:10Z"},{"alias_kind":"pith_short_8","alias_value":"26ZVLZMS","created_at":"2026-07-05T11:28:10Z"}],"graph_snapshots":[{"event_id":"sha256:523f3bcd6b630fbfffba53804f75672b4040a17239e10a21a1d7c9a412f481e4","target":"graph","created_at":"2026-07-05T11:28:10Z","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/2405.12105/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Optical Music Recognition (OMR) has made significant progress since its inception, with various approaches now capable of accurately transcribing music scores into digital formats. Despite these advancements, most so-called end-to-end OMR approaches still rely on multi-stage processing pipelines for transcribing full-page score images, which entails challenges such as the need for dedicated layout analysis and specific annotated data, thereby limiting the general applicability of such methods. In this paper, we present the first truly end-to-end approach for page-level OMR in complex layouts. ","authors_text":"Antonio R\\'ios-Vila, David Rizo, Jorge Calvo-Zaragoza, Thierry Paquet","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-20T15:21:48Z","title":"End-to-End Full-Page Optical Music Recognition for Pianoform Sheet Music"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.12105","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":"sha256:1fcce29d9b62e030fd02c34e19db1cb6dc5b61cf67b6f2e528eb80af77349e71","target":"record","created_at":"2026-07-05T11:28:10Z","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":"60766e3343ca47d63f99912b94db672c115935483981df23abc930b46f2e89de","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-20T15:21:48Z","title_canon_sha256":"3760d8e2d2355e53c8a8537693ead43910e66dd6a76ad88c7edbf574ccf900f2"},"schema_version":"1.0","source":{"id":"2405.12105","kind":"arxiv","version":4}},"canonical_sha256":"d7b355e592053fa1d1616b82bd3fadfde25e5bc8f8af3a903304f61b71b492f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d7b355e592053fa1d1616b82bd3fadfde25e5bc8f8af3a903304f61b71b492f8","first_computed_at":"2026-07-05T11:28:10.298909Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:28:10.298909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ldUniIgyuifgV8kmkez75hxGa0T0o95pD0o4oZsj7nugt1KlMKPzCQloLrU0j3I5NByKOQ290FfUZe8iN1nqCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:28:10.299449Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.12105","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1fcce29d9b62e030fd02c34e19db1cb6dc5b61cf67b6f2e528eb80af77349e71","sha256:523f3bcd6b630fbfffba53804f75672b4040a17239e10a21a1d7c9a412f481e4"],"state_sha256":"938006f6d1a8b5832ae14e04e0886710c6bb57cfd3cf548b56b2221cecae470b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xYVkk8hlWIrCRXHZbztuEHd35ZJHBEb7ty5ZQJszJ+7ktk2+1TrPGwY2GwIuXTCF9weLaqMiu/D2Mm3Gtif0DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:54:41.978226Z","bundle_sha256":"2198c3e296ba554e2e8e6b1e545a1ded6d9a6828d88c847ff7e32b3ff520b540"}}