{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:LO2NQBDN7AKYBMNHWGDT4T2JNL","short_pith_number":"pith:LO2NQBDN","canonical_record":{"source":{"id":"2402.07596","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-12T11:52:21Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"2d5052b88788c75b62bcb5cb44977f040800b3c11868de2725d4ac658e94d051","abstract_canon_sha256":"2af5fed1791f136fe187ca55b9f1c1e167f14cb114532effe0b790ac380ac101"},"schema_version":"1.0"},"canonical_sha256":"5bb4d8046df81580b1a7b1873e4f496af8da3ca277a9f9fdd133ecfc801d30ca","source":{"kind":"arxiv","id":"2402.07596","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.07596","created_at":"2026-07-05T08:13:12Z"},{"alias_kind":"arxiv_version","alias_value":"2402.07596v2","created_at":"2026-07-05T08:13:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.07596","created_at":"2026-07-05T08:13:12Z"},{"alias_kind":"pith_short_12","alias_value":"LO2NQBDN7AKY","created_at":"2026-07-05T08:13:12Z"},{"alias_kind":"pith_short_16","alias_value":"LO2NQBDN7AKYBMNH","created_at":"2026-07-05T08:13:12Z"},{"alias_kind":"pith_short_8","alias_value":"LO2NQBDN","created_at":"2026-07-05T08:13:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:LO2NQBDN7AKYBMNHWGDT4T2JNL","target":"record","payload":{"canonical_record":{"source":{"id":"2402.07596","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-12T11:52:21Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"2d5052b88788c75b62bcb5cb44977f040800b3c11868de2725d4ac658e94d051","abstract_canon_sha256":"2af5fed1791f136fe187ca55b9f1c1e167f14cb114532effe0b790ac380ac101"},"schema_version":"1.0"},"canonical_sha256":"5bb4d8046df81580b1a7b1873e4f496af8da3ca277a9f9fdd133ecfc801d30ca","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:13:12.232847Z","signature_b64":"mS/klSc0UIJDVpLWuysaG7m8aq3Yz74FU9aAcMMwrX6NrSN6uf8lYn7nFHgdO4k7iy2M6WxIjxNqeYpSF41iCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5bb4d8046df81580b1a7b1873e4f496af8da3ca277a9f9fdd133ecfc801d30ca","last_reissued_at":"2026-07-05T08:13:12.232356Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:13:12.232356Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.07596","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:13:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4v2MMM6Onk0ybgcyy8Yeako53Lfe2xmJbl6oLpBFUj6JWeghwUsNuYUHFTdl9Z3LVA7hDk8Cf2X0bF0bTACdAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T05:59:03.264644Z"},"content_sha256":"11df86e529f3845e74664fa14f65938c056cf200fde8c14779afd0356dba3977","schema_version":"1.0","event_id":"sha256:11df86e529f3845e74664fa14f65938c056cf200fde8c14779afd0356dba3977"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:LO2NQBDN7AKYBMNHWGDT4T2JNL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sheet Music Transformer: End-To-End Optical Music Recognition Beyond Monophonic Transcription","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CV","authors_text":"Antonio R\\'ios-Vila, Jorge Calvo-Zaragoza, Thierry Paquet","submitted_at":"2024-02-12T11:52:21Z","abstract_excerpt":"State-of-the-art end-to-end Optical Music Recognition (OMR) has, to date, primarily been carried out using monophonic transcription techniques to handle complex score layouts, such as polyphony, often by resorting to simplifications or specific adaptations. Despite their efficacy, these approaches imply challenges related to scalability and limitations. This paper presents the Sheet Music Transformer, the first end-to-end OMR model designed to transcribe complex musical scores without relying solely on monophonic strategies. Our model employs a Transformer-based image-to-sequence framework tha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.07596","kind":"arxiv","version":2},"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/2402.07596/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":"2026-07-05T08:13:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YjQRAFpaOtO42gQhQeaDsQ8bb8FKV06iaYTRqYka40ARrDU9igephSQOwhjIsZ0w8OLO2gc87lq1SJHs5BnaCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T05:59:03.265157Z"},"content_sha256":"f96c73882f19b421e3a8d48d3930220fef443f89b34807dac3043adad95a9c99","schema_version":"1.0","event_id":"sha256:f96c73882f19b421e3a8d48d3930220fef443f89b34807dac3043adad95a9c99"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LO2NQBDN7AKYBMNHWGDT4T2JNL/bundle.json","state_url":"https://pith.science/pith/LO2NQBDN7AKYBMNHWGDT4T2JNL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LO2NQBDN7AKYBMNHWGDT4T2JNL/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":"2026-08-13T05:59:03Z","links":{"resolver":"https://pith.science/pith/LO2NQBDN7AKYBMNHWGDT4T2JNL","bundle":"https://pith.science/pith/LO2NQBDN7AKYBMNHWGDT4T2JNL/bundle.json","state":"https://pith.science/pith/LO2NQBDN7AKYBMNHWGDT4T2JNL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LO2NQBDN7AKYBMNHWGDT4T2JNL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LO2NQBDN7AKYBMNHWGDT4T2JNL","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":"2af5fed1791f136fe187ca55b9f1c1e167f14cb114532effe0b790ac380ac101","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-12T11:52:21Z","title_canon_sha256":"2d5052b88788c75b62bcb5cb44977f040800b3c11868de2725d4ac658e94d051"},"schema_version":"1.0","source":{"id":"2402.07596","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.07596","created_at":"2026-07-05T08:13:12Z"},{"alias_kind":"arxiv_version","alias_value":"2402.07596v2","created_at":"2026-07-05T08:13:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.07596","created_at":"2026-07-05T08:13:12Z"},{"alias_kind":"pith_short_12","alias_value":"LO2NQBDN7AKY","created_at":"2026-07-05T08:13:12Z"},{"alias_kind":"pith_short_16","alias_value":"LO2NQBDN7AKYBMNH","created_at":"2026-07-05T08:13:12Z"},{"alias_kind":"pith_short_8","alias_value":"LO2NQBDN","created_at":"2026-07-05T08:13:12Z"}],"graph_snapshots":[{"event_id":"sha256:f96c73882f19b421e3a8d48d3930220fef443f89b34807dac3043adad95a9c99","target":"graph","created_at":"2026-07-05T08:13:12Z","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/2402.07596/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"State-of-the-art end-to-end Optical Music Recognition (OMR) has, to date, primarily been carried out using monophonic transcription techniques to handle complex score layouts, such as polyphony, often by resorting to simplifications or specific adaptations. Despite their efficacy, these approaches imply challenges related to scalability and limitations. This paper presents the Sheet Music Transformer, the first end-to-end OMR model designed to transcribe complex musical scores without relying solely on monophonic strategies. Our model employs a Transformer-based image-to-sequence framework tha","authors_text":"Antonio R\\'ios-Vila, Jorge Calvo-Zaragoza, Thierry Paquet","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-12T11:52:21Z","title":"Sheet Music Transformer: End-To-End Optical Music Recognition Beyond Monophonic Transcription"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.07596","kind":"arxiv","version":2},"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":"sha256:11df86e529f3845e74664fa14f65938c056cf200fde8c14779afd0356dba3977","target":"record","created_at":"2026-07-05T08:13:12Z","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":"2af5fed1791f136fe187ca55b9f1c1e167f14cb114532effe0b790ac380ac101","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-12T11:52:21Z","title_canon_sha256":"2d5052b88788c75b62bcb5cb44977f040800b3c11868de2725d4ac658e94d051"},"schema_version":"1.0","source":{"id":"2402.07596","kind":"arxiv","version":2}},"canonical_sha256":"5bb4d8046df81580b1a7b1873e4f496af8da3ca277a9f9fdd133ecfc801d30ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5bb4d8046df81580b1a7b1873e4f496af8da3ca277a9f9fdd133ecfc801d30ca","first_computed_at":"2026-07-05T08:13:12.232356Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:13:12.232356Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mS/klSc0UIJDVpLWuysaG7m8aq3Yz74FU9aAcMMwrX6NrSN6uf8lYn7nFHgdO4k7iy2M6WxIjxNqeYpSF41iCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:13:12.232847Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.07596","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11df86e529f3845e74664fa14f65938c056cf200fde8c14779afd0356dba3977","sha256:f96c73882f19b421e3a8d48d3930220fef443f89b34807dac3043adad95a9c99"],"state_sha256":"bef752e35d7cc8a227fbabcef2fecd42032ba2abd68ab334cc20bb4e58f4bb87"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"13Oe5fxuVbghI4NeZVTKfJm8hEwhOVjnKqn2uEkFr/ZHcnFRYOoCkzsDppeVGoaYP6tAk2krHTYQoxqFEGodAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T05:59:03.279335Z","bundle_sha256":"93f0e9778c68040b1d9a0e6c4a1798a67105678f58338207e7b2577b8aee755c"}}