{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:CD3GCRDXIW5PEUXU5OELVIMWKY","short_pith_number":"pith:CD3GCRDX","canonical_record":{"source":{"id":"2107.07786","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2021-07-16T09:24:58Z","cross_cats_sorted":["cs.CV","cs.MM"],"title_canon_sha256":"65da8df38069bf41b8a2725af2e0cdfb2067f15daaa8a643c920b6035e110e6b","abstract_canon_sha256":"80538d631982025f7aaac8d9fa296318f287be7b14d7b5b20f8a163ac6f462b6"},"schema_version":"1.0"},"canonical_sha256":"10f661447745baf252f4eb88baa196563efaa2bb87bd5838dd78a1230bdd77a8","source":{"kind":"arxiv","id":"2107.07786","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.07786","created_at":"2026-07-05T02:58:29Z"},{"alias_kind":"arxiv_version","alias_value":"2107.07786v1","created_at":"2026-07-05T02:58:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.07786","created_at":"2026-07-05T02:58:29Z"},{"alias_kind":"pith_short_12","alias_value":"CD3GCRDXIW5P","created_at":"2026-07-05T02:58:29Z"},{"alias_kind":"pith_short_16","alias_value":"CD3GCRDXIW5PEUXU","created_at":"2026-07-05T02:58:29Z"},{"alias_kind":"pith_short_8","alias_value":"CD3GCRDX","created_at":"2026-07-05T02:58:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:CD3GCRDXIW5PEUXU5OELVIMWKY","target":"record","payload":{"canonical_record":{"source":{"id":"2107.07786","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2021-07-16T09:24:58Z","cross_cats_sorted":["cs.CV","cs.MM"],"title_canon_sha256":"65da8df38069bf41b8a2725af2e0cdfb2067f15daaa8a643c920b6035e110e6b","abstract_canon_sha256":"80538d631982025f7aaac8d9fa296318f287be7b14d7b5b20f8a163ac6f462b6"},"schema_version":"1.0"},"canonical_sha256":"10f661447745baf252f4eb88baa196563efaa2bb87bd5838dd78a1230bdd77a8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:58:29.209041Z","signature_b64":"1Z5JU2Jf1IAPGwTkynShHZwAOU5u/YZBmzO6vUaXnSTmEF/wXyGOwoBLVK7bc308qlE1EAjCKequ+sKNN0VlBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"10f661447745baf252f4eb88baa196563efaa2bb87bd5838dd78a1230bdd77a8","last_reissued_at":"2026-07-05T02:58:29.208696Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:58:29.208696Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.07786","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":"2026-07-05T02:58:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mQnbQFHkqO43rP2HgH8628w4nTt/VAd1Rihc0G/a14qgK8f/THo6O+EV1tb2zjpbcrrQVGFC3j90LNn0s+cWCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T13:18:33.332685Z"},"content_sha256":"029ea7df85618e1c00e03ec95a1634bbf60e9aaa55e5be29ee0c4a1ce19cf206","schema_version":"1.0","event_id":"sha256:029ea7df85618e1c00e03ec95a1634bbf60e9aaa55e5be29ee0c4a1ce19cf206"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:CD3GCRDXIW5PEUXU5OELVIMWKY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DoReMi: First glance at a universal OMR dataset","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.MM"],"primary_cat":"cs.IR","authors_text":"Elona Shatri, Gy\\\"orgy Fazekas","submitted_at":"2021-07-16T09:24:58Z","abstract_excerpt":"The main challenges of Optical Music Recognition (OMR) come from the nature of written music, its complexity and the difficulty of finding an appropriate data representation. This paper provides a first look at DoReMi, an OMR dataset that addresses these challenges, and a baseline object detection model to assess its utility. Researchers often approach OMR following a set of small stages, given that existing data often do not satisfy broader research. We examine the possibility of changing this tendency by presenting more metadata. Our approach complements existing research; hence DoReMi allow"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.07786","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/2107.07786/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":"2026-07-05T02:58:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P8GmgY3s/mX+5T3i12SMl3BSSAnuUvkt5QxSvhXgIVVc3uqHvL4pRLQ71AdUGhke1n95/Q4HGuQW/ndQL4i1BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T13:18:33.334027Z"},"content_sha256":"249e9861f276fb805bf1b495ada2fef23e007196f474066461ab9c544ebc0529","schema_version":"1.0","event_id":"sha256:249e9861f276fb805bf1b495ada2fef23e007196f474066461ab9c544ebc0529"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CD3GCRDXIW5PEUXU5OELVIMWKY/bundle.json","state_url":"https://pith.science/pith/CD3GCRDXIW5PEUXU5OELVIMWKY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CD3GCRDXIW5PEUXU5OELVIMWKY/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":"2026-08-07T13:18:33Z","links":{"resolver":"https://pith.science/pith/CD3GCRDXIW5PEUXU5OELVIMWKY","bundle":"https://pith.science/pith/CD3GCRDXIW5PEUXU5OELVIMWKY/bundle.json","state":"https://pith.science/pith/CD3GCRDXIW5PEUXU5OELVIMWKY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CD3GCRDXIW5PEUXU5OELVIMWKY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:CD3GCRDXIW5PEUXU5OELVIMWKY","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":"80538d631982025f7aaac8d9fa296318f287be7b14d7b5b20f8a163ac6f462b6","cross_cats_sorted":["cs.CV","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2021-07-16T09:24:58Z","title_canon_sha256":"65da8df38069bf41b8a2725af2e0cdfb2067f15daaa8a643c920b6035e110e6b"},"schema_version":"1.0","source":{"id":"2107.07786","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.07786","created_at":"2026-07-05T02:58:29Z"},{"alias_kind":"arxiv_version","alias_value":"2107.07786v1","created_at":"2026-07-05T02:58:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.07786","created_at":"2026-07-05T02:58:29Z"},{"alias_kind":"pith_short_12","alias_value":"CD3GCRDXIW5P","created_at":"2026-07-05T02:58:29Z"},{"alias_kind":"pith_short_16","alias_value":"CD3GCRDXIW5PEUXU","created_at":"2026-07-05T02:58:29Z"},{"alias_kind":"pith_short_8","alias_value":"CD3GCRDX","created_at":"2026-07-05T02:58:29Z"}],"graph_snapshots":[{"event_id":"sha256:249e9861f276fb805bf1b495ada2fef23e007196f474066461ab9c544ebc0529","target":"graph","created_at":"2026-07-05T02:58:29Z","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/2107.07786/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The main challenges of Optical Music Recognition (OMR) come from the nature of written music, its complexity and the difficulty of finding an appropriate data representation. This paper provides a first look at DoReMi, an OMR dataset that addresses these challenges, and a baseline object detection model to assess its utility. Researchers often approach OMR following a set of small stages, given that existing data often do not satisfy broader research. We examine the possibility of changing this tendency by presenting more metadata. Our approach complements existing research; hence DoReMi allow","authors_text":"Elona Shatri, Gy\\\"orgy Fazekas","cross_cats":["cs.CV","cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2021-07-16T09:24:58Z","title":"DoReMi: First glance at a universal OMR dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.07786","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":"sha256:029ea7df85618e1c00e03ec95a1634bbf60e9aaa55e5be29ee0c4a1ce19cf206","target":"record","created_at":"2026-07-05T02:58:29Z","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":"80538d631982025f7aaac8d9fa296318f287be7b14d7b5b20f8a163ac6f462b6","cross_cats_sorted":["cs.CV","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2021-07-16T09:24:58Z","title_canon_sha256":"65da8df38069bf41b8a2725af2e0cdfb2067f15daaa8a643c920b6035e110e6b"},"schema_version":"1.0","source":{"id":"2107.07786","kind":"arxiv","version":1}},"canonical_sha256":"10f661447745baf252f4eb88baa196563efaa2bb87bd5838dd78a1230bdd77a8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10f661447745baf252f4eb88baa196563efaa2bb87bd5838dd78a1230bdd77a8","first_computed_at":"2026-07-05T02:58:29.208696Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:58:29.208696Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1Z5JU2Jf1IAPGwTkynShHZwAOU5u/YZBmzO6vUaXnSTmEF/wXyGOwoBLVK7bc308qlE1EAjCKequ+sKNN0VlBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:58:29.209041Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.07786","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:029ea7df85618e1c00e03ec95a1634bbf60e9aaa55e5be29ee0c4a1ce19cf206","sha256:249e9861f276fb805bf1b495ada2fef23e007196f474066461ab9c544ebc0529"],"state_sha256":"6f54976846984790e322aaf9d70542832352d6df6fe3681815424dcb5eac1efc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KgPXwQTWskKU28veUYc3KL6NIAqrJMSXaKpRmrh5RhgRifyvjh8j5/GhDBiGfBLb71l6aBpRmkAnfueJLPLbAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T13:18:33.343597Z","bundle_sha256":"d87b7458f67bcb480b05a2ed9b1ffdac9f51324c21f075a5c9cc63abda57a101"}}