{"as_of":"2026-08-16T19:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:51f99a903fd5f7a6c7993e2ccea476918b140b52f8ec24aa1e95be7941f88ccc","coverage":[{"denominator":171,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:46:41.150629Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.03608/citation-record","integrity":"/paper/1908.03608/integrity","json":"/paper/1908.03608/citation-record.json","paper":"/paper/1908.03608"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.343951Z","title":"Music search engine from noisy OMR data","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.343951Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:19f7db1e9da56c4bf412958776574276ecfe1812c1a1db1b2974e8070ab032b4","observation_id":"14c97c88-1a72-400c-8e6c-5d9b20df4768","resolution":{"observed_at":"2026-08-14T14:46:40.343951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.357772Z","title":"Mobile system for optical music recognition and music sound generation","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.357772Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:47070f2960fbadb1823a35884d865a89a273fdc5e107a48a3ca2f41be703e3b8","observation_id":"e72ac055-8bbb-44b1-805e-1b77a920883b","resolution":{"observed_at":"2026-08-14T14:46:40.357772Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.365427Z","title":"An integrated grammar-based approach for mathematical expression recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.365427Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:d9a9e275e40bc672e28e11ee9feb37b11f66c3d7d594252ca45cf6f13252a432","observation_id":"45b5fd46-df70-42e3-9d9b-b8cbcaa6a3b5","resolution":{"observed_at":"2026-08-14T14:46:40.365427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.371483Z","title":"On automatic pattern recognition and acquisition of printed music","venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.371483Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:71d625c4b5cfaebefab1abbbe4d539733c004728ac83d20d1a90706f1f11d7f4","observation_id":"45c61b8c-bb21-48bd-a57d-f5dbab402cc1","resolution":{"observed_at":"2026-08-14T14:46:40.371483Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.379573Z","title":"Gocen: A handwritten notational interface for musical performance and learning music","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.379573Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:e7965720ea32d855d97808ce9de6fcceb1c1238cc79515b809c0d60737762913","observation_id":"f1bf8cb3-eb6e-4dfa-8a5e-fbb3a22fd1e1","resolution":{"observed_at":"2026-08-14T14:46:40.379573Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.386436Z","title":"Dealing with superimposed objects in optical music recognition","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.386436Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:6fa1bb7518b60d720fc6081bd572a27caaad66a0c5976e73850eb865a0255b6a","observation_id":"f834b7d4-cee6-464e-ba93-5df29d660d6f","resolution":{"observed_at":"2026-08-14T14:46:40.386436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.393667Z","title":"The challenge of optical music recognition","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.393667Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:9ba8de0bd74ed7f7df4f8bedc23fb0925f43c4084d16c62484769a315361e40e","observation_id":"57e67b5f-1d7b-4167-b187-7171dfc2d58a","resolution":{"observed_at":"2026-08-14T14:46:40.393667Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.399778Z","title":"A music notation construction engine for optical music recognition","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.399778Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:49ae610d7e7452b24da542d6f4782788ae5630488f75b1cfc2d45f5e2d5e5917","observation_id":"dc11ba17-7934-4b39-ae1b-593051b21648","resolution":{"observed_at":"2026-08-14T14:46:40.399778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.408845Z","title":"Identifying music documents in a collection of images","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.408845Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:25934f252e8fd3f32d320e2acd739b7b35f07cc30c4294ee3086fa23d64ddb03","observation_id":"7a6e9645-daf0-481c-b1f0-c5a24b3fab2b","resolution":{"observed_at":"2026-08-14T14:46:40.408845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.414822Z","title":"Matching musical themes based on noisy OCR and OMR input","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.414822Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:35ab682c8a14a952ddb353b8025097ba70a8889fcdc5718fc3e3cc0ab4824902","observation_id":"b47f9b38-18f2-4b1e-b58c-ae46c5833cdd","resolution":{"observed_at":"2026-08-14T14:46:40.414822Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.421220Z","title":"Optical music recognition by recurrent neural networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.421220Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:0be01c425fc99f189f6a840d091c53add7960ab5f88649cfd2dadaa13e2c4667","observation_id":"dafb2759-ee27-47d2-9e3d-0b638d8be244","resolution":{"observed_at":"2026-08-14T14:46:40.421220Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.427616Z","title":"Towards the recognition of compound music notes in handwritten music scores","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.427616Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:708ded690636248422db76330e66b366dc875f5c202b4f5c59a4f63dd50657e2","observation_id":"a5bd0d10-0b2d-4e29-afd5-77ae6d459ab5","resolution":{"observed_at":"2026-08-14T14:46:40.427616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.432716Z","title":"A starting point for handwritten music recognition","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.432716Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:885c2f8417482c63aa7a84a07cb249cd3b4a2583356444ec3c7073203d525bf6","observation_id":"1143a177-03e5-4154-98be-ae30f6856d48","resolution":{"observed_at":"2026-08-14T14:46:40.432716Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.439019Z","title":null,"venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.439019Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:a1a5393357269cb29a738582e7073fece9f998360d9d6a3e202c7d97dde71647","observation_id":"15f5b4b6-4207-46e4-bc65-b8c44c3c1c7e","resolution":{"observed_at":"2026-08-14T14:46:40.439019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.445452Z","title":"A simpliﬁed attributed graph grammar for high-level music recognition","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.445452Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:f5db56a2432a7186de0ebda925c2f694f3f061e467acfab4646e718502277170","observation_id":"c640b4d5-44e7-4b02-b720-70e76f7aa6ad","resolution":{"observed_at":"2026-08-14T14:46:40.445452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.451859Z","title":"Transforming printed piano music into MIDI","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.451859Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:f1d1739f9fd7909e6bd9a5866eab270f8026b289bbc907feae6f3d0937767b30","observation_id":"45a59d03-a15f-47e7-899a-787dc6df6a4f","resolution":{"observed_at":"2026-08-14T14:46:40.451859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.456994Z","title":"Ehmann, and J","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.456994Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:090cf8777782e2e9fcb7e6ebc86721924c3e7971ccc3b3fad849001bb04f2953","observation_id":"68ec2e74-0427-4c51-8f2e-a5666ad5359f","resolution":{"observed_at":"2026-08-14T14:46:40.456994Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.463124Z","title":"Optical music sheet segmentation","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.463124Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:3cc69d626529391d7f865cf957abcad5afd4ab6f920253b7ae4f59c5431a0ae4","observation_id":"14a7d5b4-1b4a-493d-b0b8-cab855bae627","resolution":{"observed_at":"2026-08-14T14:46:40.463124Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.469440Z","title":"Assessing optical music recognition tools","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.469440Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:363dc54d20b102d6159c07c0ab7ff43811053af67042c922d53f650f04bb64c4","observation_id":"0c7b77eb-7507-4f16-bd8d-b8e5151a4816","resolution":{"observed_at":"2026-08-14T14:46:40.469440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.477540Z","title":"Digital image archive of medieval music","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.477540Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:7c3f77a342112c40a4b63864419c28b6d0504d0f7970e3b8d8bb254e0e070299","observation_id":"88777f69-76a1-4e3b-8924-0de16c900f0c","resolution":{"observed_at":"2026-08-14T14:46:40.477540Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.485642Z","title":"Audiveris","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.485642Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:3de6b49877587eb2345044a6571127d57c920023c176ba3b6a5f5429febd9daa","observation_id":"4272ac4a-9fef-489f-af2c-fb1ede2e57f9","resolution":{"observed_at":"2026-08-14T14:46:40.485642Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.494838Z","title":null,"venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.494838Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:864b78449068830297bd630f58c901b3f1a6a59be31c5160ef45fae673d8f124","observation_id":"cb1bcf2a-b244-4b0e-af09-bdca9c5106da","resolution":{"observed_at":"2026-08-14T14:46:40.494838Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.503127Z","title":"Recognition of music notation: Sspr’90 working group report","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.503127Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:b0060dc53246e484cd4e10e4a72264fb69a5827f217342bbe2ceb280b317bf88","observation_id":"65a4f901-2cc6-477c-9edf-bc3f390751df","resolution":{"observed_at":"2026-08-14T14:46:40.503127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.508707Z","title":"Justiﬁcation of printed music","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.508707Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:761ab389fb417fae31983cad8ca158dedcf65eed075cfaf874290e70b095bb69","observation_id":"840269bb-6624-4c97-9f8a-d9fbcb68b51d","resolution":{"observed_at":"2026-08-14T14:46:40.508707Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.515703Z","title":"Enhanced bleedthrough correction for early music documents with recto-verso registration","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.515703Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:2fab9aed0885eefe2a57962ab4d115558cae7ab0f081da966b20a097d739d00e","observation_id":"c683530c-f437-4841-b171-e2b6b7de2941","resolution":{"observed_at":"2026-08-14T14:46:40.515703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.521664Z","title":"Stephen Downie","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.521664Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:65b88cedf74e4f140c8982b6673f4a5ec129b5e7016752b18563dcf83702b6fb","observation_id":"e6d047a2-f98b-4b1f-a096-946055f7bbd5","resolution":{"observed_at":"2026-08-14T14:46:40.521664Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.528146Z","title":"A music representation requirement speciﬁcation for academia","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.528146Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:72931d46364f138203f4d264e4f07ed2c33e9cf29e580b614f1017fd1374aacd","observation_id":"8b79dc93-e178-4403-ad5c-728bba5831be","resolution":{"observed_at":"2026-08-14T14:46:40.528146Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.534292Z","title":"Prospects for improving OMR with multiple recognizers","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.534292Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:adcb220806bbb28bd7a2ca5ea4d436f56a7430ac1938bd3430faf5f3775560da","observation_id":"c56cadb4-acc0-4115-8af1-fbb35d960c67","resolution":{"observed_at":"2026-08-14T14:46:40.534292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.543529Z","title":"Towards a standard testbed for optical music recognition: Deﬁnitions, metrics, and page images","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.543529Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:51909cfcb882c8eac6a8426b74c4249f24581240af5d2b6d9925bacca4cceda7","observation_id":"982c6a36-d3eb-470d-a4b0-f3b1c58323c7","resolution":{"observed_at":"2026-08-14T14:46:40.543529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.550906Z","title":"Discussion group summary: Optical music recognition","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.550906Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:7174dafb87bf4d0f464bb7ac3d4f0f45fdb292aeb0cc7e13b99df35d5ad2dea3","observation_id":"4daaeb2f-76ee-4d2e-81a5-aa1090ca234c","resolution":{"observed_at":"2026-08-14T14:46:40.550906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.558824Z","title":"Recognition of pen-based music notation: The HOMUS dataset","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.558824Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:8b26c28a0893ad0cd4d088ffc92b2ed5be29288f71ae23d8e56013328be75b8a","observation_id":"bd867c4f-95f8-49e1-8cf5-f0830294a1e0","resolution":{"observed_at":"2026-08-14T14:46:40.558824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.563912Z","title":"Camera-primus: Neural end-to-end optical music recognition on realistic monophonic scores","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.563912Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:a3a388545a9624b0e4c282e6fc2bfb9f189aaf6ca4ba2173f652a89663432a54","observation_id":"441907ee-4c26-47fd-9eec-8173b7c86bf6","resolution":{"observed_at":"2026-08-14T14:46:40.563912Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.573263Z","title":"End-to-end neural optical music recognition of monophonic scores","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.573263Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:1117a97ec18f0740da0fa5526c2d8412a3f29e5efc99b421fb9880184317ec21","observation_id":"d7d18488-58ef-444a-ba39-39b451cc888a","resolution":{"observed_at":"2026-08-14T14:46:40.573263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.581485Z","title":"Handwritten music recognition for mensural notation: Formulation, data and baseline results","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.581485Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:0fbae556caab45c235c837d62cd6f2f757c7450aa3f0eb62077ef5185e52d9bc","observation_id":"68d9f6a4-aa9e-4988-8d07-b87b5e0e202a","resolution":{"observed_at":"2026-08-14T14:46:40.581485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.590911Z","title":"Toselli, and Enrique Vidal","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.590911Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:ae6163f07fc80f251ca335d6ab430428ec8c7937d380bf40f9ee13adc26292c3","observation_id":"0b2b7981-7c68-4708-bae6-d56fe6f6d35c","resolution":{"observed_at":"2026-08-14T14:46:40.590911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.599476Z","title":"Cancino-Chacón, Maarten Grachten, Werner Goebl, and Gerhard Widmer","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.599476Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:44e49089fbc4420468bda7175ade4e13b938d394ebe8cc278ee3c8e8924276c6","observation_id":"3363b5b5-daff-458b-b38b-4ad6379704ee","resolution":{"observed_at":"2026-08-14T14:46:40.599476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.605915Z","title":"Capella scan","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.605915Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:ea7e9198dc5aa3b0ca1d9a7cc2777ba8ca1e665902431031c458a93917889aca","observation_id":"c5807875-18ab-4064-a18e-a247f3a74afa","resolution":{"observed_at":"2026-08-14T14:46:40.605915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.612264Z","title":"A new edition of walton’s façade using automatic score recognition","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.612264Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:a1389f1202f6fb00d5babe45058a479494f1daf6eafc65c61ef61ba0cc99f7f8","observation_id":"e03c27ef-95b9-4738-84b9-40c5a4585b2b","resolution":{"observed_at":"2026-08-14T14:46:40.612264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.619124Z","title":"An optical music recognition system for traditional chinese kunqu opera scores written in gong-che notation","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.619124Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:acbe3031ebc408767f3c5d74a1de1a2c193ed12569b77214eb5a97fbe9e9a0c3","observation_id":"d4d07d24-2834-4101-a3a1-f9d4f2e096da","resolution":{"observed_at":"2026-08-14T14:46:40.619124Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.626320Z","title":"Midi-assisted egocentric optical music recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.626320Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:d762fcdfba8c876305ebdb843042c8830dbe175087e3df520a5f188b8f6fca73","observation_id":"ea67172c-e8e9-4f32-9a2d-0fbef2e9604a","resolution":{"observed_at":"2026-08-14T14:46:40.626320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.634130Z","title":"Renotation from optical music recognition","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.634130Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:d1ae08eab87e0d58862f35913b0165c8e798b9fd111060acd17168c68cd5149e","observation_id":"dc0da2f2-71d0-4442-b562-d1bef4314b43","resolution":{"observed_at":"2026-08-14T14:46:40.634130Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.648789Z","title":"Human-guided recognition of music score images","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.648789Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:38ab30588e68aeae2bef8de00da0aba829bb5641773f8f795f705d0a9a77efe2","observation_id":"9824430d-3ff2-42f0-a49c-32e904c13a8d","resolution":{"observed_at":"2026-08-14T14:46:40.648789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.655276Z","title":"Optical music recognition and human-in-the-loop computation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.655276Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:361d6a4ba12e36d5ed3a83dcaecb67f5c0b3555c3f755c1ed9e7a96d8f8e6acf","observation_id":"6e09ee98-505f-42d4-8e94-8604ad50d9da","resolution":{"observed_at":"2026-08-14T14:46:40.655276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.662104Z","title":null,"venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.662104Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:78074dff8d94b6110c1b52aa5d9cb28f0ad8614e0ea1cbbbe9d8a6e2b3161a7e","observation_id":"208dc34b-51c0-435e-a128-6c88e3b18ffb","resolution":{"observed_at":"2026-08-14T14:46:40.662104Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.669147Z","title":"Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.669147Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:0a9e278fe45d3059d1105a88778edf83e90307b6c6eb0d2622586231658c182b","observation_id":"8c71f713-52f6-4b38-b80d-f9030e5867c4","resolution":{"observed_at":"2026-08-14T14:46:40.669147Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.682675Z","title":"Bootstrapping samples of accidentals in dense piano scores for CNN-based detection","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.682675Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:ac57d6bda001be4ef4bd870a38914406163ad46ea2f2c6d27825b08a804547e5","observation_id":"7bd8bddb-f4c3-4459-9bfe-636e350273c8","resolution":{"observed_at":"2026-08-14T14:46:40.682675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.693696Z","title":"Sayeed Choudhury, M","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.693696Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:6565fa8c111c9c47730407c9c4cbd48f6a857cc715e93959ea50fe1f8d53ac86","observation_id":"f81123f2-c6d5-4243-9af8-8b92720b27ca","resolution":{"observed_at":"2026-08-14T14:46:40.693696Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.703227Z","title":"An efﬁcient end-to-end neural model for handwritten text recognition","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.703227Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:09db11ab967b272155b964c82df1ffd37e723d8a3976c7efbb5e3f1a4d1216ec","observation_id":"381dd5e9-0e7a-49e9-a2c6-eac2944d0a5f","resolution":{"observed_at":"2026-08-14T14:46:40.703227Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.712032Z","title":"Using grammars to segment and recognize music scores","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.712032Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:838a28d73abfed38bd3a2a38496e7483ad82966cbba501a001d97c8782b2e060","observation_id":"f345c2e0-3c96-4d5a-9a09-94224310159d","resolution":{"observed_at":"2026-08-14T14:46:40.712032Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.717484Z","title":"Searching page-images of early music scanned with omr: A scalable solution using minimal absent words","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.717484Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:60db2497957fa820cbbc6a3eb4943f078e4aa9691560018a4b75e05ebe6f2368","observation_id":"3131f238-d164-4dd5-b122-36ed15b1898b","resolution":{"observed_at":"2026-08-14T14:46:40.717484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.724780Z","title":"Michalakis, and Christine Pranzas","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.724780Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:72ce64fc54a86a7d95fd536b3785707e25f97350901350d62f47127eb63b24f5","observation_id":"447bf1e6-d387-42f5-aa64-bb98da3f426f","resolution":{"observed_at":"2026-08-14T14:46:40.724780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.736666Z","title":"Innovative mir applications at the bayerische staatsbibliothek","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.736666Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:4294a363b6b06c894d4ac2c9abfb444270a643ff2f0270547b67e8980c120c62","observation_id":"f790a3bc-f231-4fed-a741-e35fa601a82d","resolution":{"observed_at":"2026-08-14T14:46:40.736666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.743615Z","title":"Optical music recognition of the singer using formant frequency estimation of vocal fold vibration and lip motion with interpolated gmm classiﬁers","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.743615Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:b1b680a896cc9f4d4c4c24a455518de088891cb03a90e86c14eff2fc71912dd5","observation_id":"7fa9e490-560a-4bce-a752-acf6ce1be123","resolution":{"observed_at":"2026-08-14T14:46:40.743615Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.750118Z","title":"Learning audio–sheet music correspondences for cross-modal retrieval and piece identiﬁcation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.750118Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:baf005edca6d1cf3073ed445ae1175fa68c4a3af5cc9f1c45fdbb95c48579363","observation_id":"db3b212d-d0ec-4a04-b898-2ba1df0b9863","resolution":{"observed_at":"2026-08-14T14:46:40.750118Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.758101Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.758101Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:e4edac2c6d86f0ad8b8107c9b062e8af9f5f61ff127d4e4d06b34b4a0ff6527a","observation_id":"e06ab8ed-ff05-481b-a63c-6187cd79aded","resolution":{"observed_at":"2026-08-14T14:46:40.758101Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.765827Z","title":"Fahmy and Dorothea Blostein","venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.765827Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:b0919296f44af121394cc932606295a37c31d1cfdce9e3e34ef3da3a430c9412","observation_id":"95d1c865-57c6-45bd-9b36-62836b281455","resolution":{"observed_at":"2026-08-14T14:46:40.765827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.774128Z","title":"Berklee Contemporary Music Notation","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.774128Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:942f29aaf35a99cd4b4b4383c163f323509697392c950e63d6b249986868d454","observation_id":"53057e39-65ef-49c5-af3c-5ef105d53822","resolution":{"observed_at":"2026-08-14T14:46:40.774128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.780864Z","title":"Graphics Recognition, Current Trends and Evolutions , volume 11009 of Lecture Notes in Computer Science","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.780864Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:430d89e62bee9414615bea2d409a3d6378d1d04e4a2199d915f53a1aa7164be7","observation_id":"0dd271e1-b0b9-49e4-a558-e28e16e07b6f","resolution":{"observed_at":"2026-08-14T14:46:40.780864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.787710Z","title":"The ICDAR 2011 music scores competition: Staff removal and writer identiﬁcation","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.787710Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:d395b534cbba8e0bcb509ee874ec746a2d371d2b1b3361aba6bd04124d0028fc","observation_id":"70d40e8a-d19a-4dfc-9cf7-c9ed909f19f7","resolution":{"observed_at":"2026-08-14T14:46:40.787710Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.795038Z","title":"CVC-MUSCIMA: A ground-truth of handwritten music score images for writer identiﬁcation and staff removal","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.795038Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:6f3fec52733e45c12f927f830c5287f0f74509dbfa04a72666c30a792d93679c","observation_id":"1651d2f9-3b87-42ea-9e5d-d8670dedfac0","resolution":{"observed_at":"2026-08-14T14:46:40.795038Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.803800Z","title":"Primitive segmentation in old handwritten music scores","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.803800Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:9411d1005d6abbcc38dfce1fb8c2446d458d8a21bb075d13a041e7e1b98cc05c","observation_id":"1cac44b2-48dc-4d63-a739-e4c688ab1b76","resolution":{"observed_at":"2026-08-14T14:46:40.803800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.810319Z","title":"Old handwritten musical symbol classiﬁcation by a dynamic time warping based method","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.810319Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:73f95d75f713ed935fa2f030fadaa130da5c6d2a4f5833e1141afff304710bd2","observation_id":"d1a8c01c-8492-4423-8982-5939a434ada6","resolution":{"observed_at":"2026-08-14T14:46:40.810319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.820667Z","title":"Writer identiﬁcation in old handwritten music scores","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.820667Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:ff80c72ecab7dc7ee3dc08bcd34f0beeb83559aaa2b2802a38768d09a6bfb114","observation_id":"671ec8dc-044f-4989-8386-7fe3f390b440","resolution":{"observed_at":"2026-08-14T14:46:40.820667Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.841134Z","title":"On the use of textural features for writer identiﬁcation in old handwritten music scores","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.841134Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:6c752385814724cca6a82951a2c14902ae3b9eb8d31976a275eab0ae779056b2","observation_id":"22fe320e-226d-4e7c-84c3-2df00bfd7ca9","resolution":{"observed_at":"2026-08-14T14:46:40.841134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.848485Z","title":"An optical notation recognition system for printed music based on template matching and high level reasoning","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.848485Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:14b7caca670fc375e47701e84c159e868f1538aebe049523f7c44732edf5972e","observation_id":"21faa935-0562-41db-baa2-6bc17c985102","resolution":{"observed_at":"2026-08-14T14:46:40.848485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.855948Z","title":"Automatic mapping of scanned sheet music to audio recordings","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.855948Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:e9420842d88e5b4b79ab31610083175dfb6da918fc24c34bc2e6ffbad926d350","observation_id":"8e891920-b12b-49ce-aeab-c890e6c31208","resolution":{"observed_at":"2026-08-14T14:46:40.855948Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.863986Z","title":"Optical music recognition using projections","venue":null,"work_id":null,"year":1988},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.863986Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:723da21618d545e49acd1e95c9368bb8563d0ffb9e4b876d4c572f5c5adf4a8a","observation_id":"d6b80f5a-8b0c-45d6-b2eb-0dd2fa239601","resolution":{"observed_at":"2026-08-14T14:46:40.863986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.878412Z","title":"Simssa: Single interface for music score searching and analysis","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.878412Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:0e8229e6a01226bb2106e591826355c961003aeb3f823c3737ca8ce6be09b35e","observation_id":"d10453ef-0649-48ee-bbea-06083943d222","resolution":{"observed_at":"2026-08-14T14:46:40.878412Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.884058Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.884058Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:df9df2b69431d3f6ecf245379fd133b644b89329f4aac12c61064d095e9ab6c3","observation_id":"a133620b-8041-45fb-b021-87b0a22e2cd1","resolution":{"observed_at":"2026-08-14T14:46:40.884058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.894400Z","title":"Staff-line removal with selectional auto-encoders","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.894400Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:3d39d271f59b3ed05a0dc120e50322b07a24c0ca4a2c39d5dafb85c5848b4193","observation_id":"012ba686-7fe2-4290-adc3-d0d12cfca54a","resolution":{"observed_at":"2026-08-14T14:46:40.894400Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.903115Z","title":"iseenotes","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.903115Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:da2fc7d20529821d4380e3cfbed345cb60a80f523b4cb64c6953be0e4013f1ed","observation_id":"74d028f1-b475-4814-b344-29e8146e2107","resolution":{"observed_at":"2026-08-14T14:46:40.903115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.908873Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.908873Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:5342bd68401ca71648b2772e57fcc0b5367484ccc6eab7ff39d47da4602f3a4b","observation_id":"62dbc577-3bdc-4634-8b7c-98e15df72b6e","resolution":{"observed_at":"2026-08-14T14:46:40.908873Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.919716Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.919716Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:d2acf3d024a4f062866215b21251002fcdb6ba1f4c8122cac2a02d5ab01cdf74","observation_id":"dd79f650-e380-4f79-89e3-462cc58998e1","resolution":{"observed_at":"2026-08-14T14:46:40.919716Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.925560Z","title":"Giotis, Giorgos Sﬁkas, Basilis Gatos, and Christophoros Nikou","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.925560Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:211cb781c8f79c50fdcc1ec3c6d5ec9e3b2d28c713a388331633c435532d2227","observation_id":"4db44dc4-9a6e-434c-a7f1-51f355a6df9d","resolution":{"observed_at":"2026-08-14T14:46:40.925560Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.931553Z","title":"MusicXML: An internet-friendly format for sheet music","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.931553Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:32ab8bfdb9b6bdc612d23277f065441d72af2e098de243c2e80251c389fd8afe","observation_id":"46444571-8e56-42a5-a4fc-98dde3a9fb0f","resolution":{"observed_at":"2026-08-14T14:46:40.931553Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.939124Z","title":"Using MusicXML for ﬁle interchange","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.939124Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:9390db64bda2f55290cd48a71a14f6693a0079eb7d031c8a0f8b5c0591f0c2cb","observation_id":"eec9bdd2-d820-4f29-bf72-92608f49941b","resolution":{"observed_at":"2026-08-14T14:46:40.939124Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.950615Z","title":"Writer identiﬁcation in handwritten musical scores with bags of notes","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.950615Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:c7cf8a11241cb0e3d90aafc52ce03a1078fdbbc987955426c3bbbffbe208d611","observation_id":"e8877ff6-af8c-4476-9cbd-84859daca4ed","resolution":{"observed_at":"2026-08-14T14:46:40.950615Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.958255Z","title":"Scores of scores: An openscore project to encode and share sheet music","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.958255Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:c12c9dd2b59d19971f9f05dff830c8659dd0d9dd2a2c80fbb0e12fd536c42adf","observation_id":"f4e241af-b5fe-43e2-b867-b21ba06bfd64","resolution":{"observed_at":"2026-08-14T14:46:40.958255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.975007Z","title":"Behind Bars","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.975007Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:7d4c070269b4f32f6f1f06fa028b6cc07d9834a124bb25095e7352cf48b1c5ae","observation_id":"002784bc-600b-45db-904f-2e8eaf3d284e","resolution":{"observed_at":"2026-08-14T14:46:40.975007Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.983697Z","title":"OMRJX: A framework for piano scores optical music recognition","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.983697Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:0ab4438a8cc1521a60aa022f9deb9682497118c84af6b09841e0f2355e6834d1","observation_id":"71dae95e-fcc9-49be-9653-798f7dc46ea5","resolution":{"observed_at":"2026-08-14T14:46:40.983697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:40.990964Z","title":"A case for intrinsic evaluation of optical music recognition","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:40.990964Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:084bcebf3a4dba071b1d90f562604f0a6c536a5db75aae1fdeeaec15dd610c7b","observation_id":"ac179b08-daa4-4ba8-bfbf-47bddcf5048c","resolution":{"observed_at":"2026-08-14T14:46:40.990964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:41.002161Z","title":"Towards full-pipeline handwritten OMR with musical symbol detection by u-nets","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.002161Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:3819376cc06f62e30e88c6e826366e926e3651f3db154a9893c49a494eb32f47","observation_id":"634d59c5-29a6-47bd-babc-16387956cf51","resolution":{"observed_at":"2026-08-14T14:46:41.002161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:41.009819Z","title":"How current optical music recognition systems are becoming useful for digital libraries","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.009819Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:72468ab2e0936fa947cbb863eb87bf216372e0a41d5d224a965878a1bf88f376","observation_id":"c2433de7-bb47-4c36-8f72-d5b23e4222e5","resolution":{"observed_at":"2026-08-14T14:46:41.009819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:41.020808Z","title":"Further steps towards a standard testbed for optical music recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.020808Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:51969d187e396bfa98a6dc534b01ab6d8c0ff0a40044d8535c4043ab0f3edd80","observation_id":"f1a27765-b886-4d56-8844-dc87d3444538","resolution":{"observed_at":"2026-08-14T14:46:41.020808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:41.027088Z","title":"and Pavel Pecina","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.027088Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:1dcef9bf579d4f7ec1cab3ba41ca5df4ad65e3e81f052c7862ef64771dde43da","observation_id":"73250079-56f5-4b1e-b47e-9b13197c19d2","resolution":{"observed_at":"2026-08-14T14:46:41.027088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:41.036237Z","title":"and Pavel Pecina","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.036237Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:bc14acff24cf3965d927fa1484bfdb45e525d9202975149d9c10e8cc5d212bc7","observation_id":"c1577a35-9a1f-419e-8edb-5f898d378e30","resolution":{"observed_at":"2026-08-14T14:46:41.036237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:41.045090Z","title":"Information Retrieval Evaluation","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.045090Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:f2337a78fd6dc0c2cd00dd0f9db102d109b89c6240ddf9cd77c11d45f7603b43","observation_id":"868bbbac-5987-4aa9-835a-c08a32dc06a2","resolution":{"observed_at":"2026-08-14T14:46:41.045090Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:41.052009Z","title":"Optical music recognition and manuscript chant sources","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.052009Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:c2dc1eb9b0d424136113830845348745c6f90475ed6cca96b9d7087ffab3af17","observation_id":"4d559d8a-0308-429b-9cc5-09009ce863d4","resolution":{"observed_at":"2026-08-14T14:46:41.052009Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:41.060499Z","title":"The Norton Manual of Music Notation","venue":null,"work_id":null,"year":1987},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.060499Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:7cfd02c94b96a229a0dbb04596102d06ee60bbc9ba0cb85d2ef78239a045efa8","observation_id":"2625eda4-3bf0-4e55-a02b-0618a51bec14","resolution":{"observed_at":"2026-08-14T14:46:41.060499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:41.066264Z","title":"Automatic recognition of printed music and its conversion into playable music data","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.066264Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:741012e55650cb7f1af6f9eb755c772dc05f31a32fb847de286c3ac784637077","observation_id":"e1fde6d2-6267-4551-ae96-b6039582645d","resolution":{"observed_at":"2026-08-14T14:46:41.066264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:41.072400Z","title":"Automatic handwritten mensural notation interpreter: From manuscript to MIDI performance","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.072400Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:62f77c9a9ac0f2f8e3bca9bccbfeec10ba5538c9bcd26af6bc42f31e9c0e5747","observation_id":"6cd48463-34bf-4920-956c-6e2e4df00494","resolution":{"observed_at":"2026-08-14T14:46:41.072400Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:44.122219Z","title":"Ponce de León, David Rizo, José Oncina, Luisa Micó, Juan Ramón Rico-Juan, Carlos Pérez-Sancho, and Antonio Pertusa","venue":null,"work_id":"c0c72598-5988-4c5e-a6ba-2cab4d82590e","year":2018},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.084020Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:b62de3cf993508e94202c1cc53bebe6d2ab6782927ec5d0b90734035819c9adc","observation_id":"23650dee-47ac-40a7-bf5b-3fc8770eec05","resolution":{"observed_at":"2026-08-14T14:46:44.128497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:44.093889Z","title":"Optical music recognition","venue":null,"work_id":"49097b90-4733-4445-8b12-0f9ab6b2b345","year":2009},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.097341Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:174f95410828fd593821885a316e190a2e95380dbe1438f3fae797deac16873b","observation_id":"54bf064c-8eda-4e64-95d9-7f47f66baed8","resolution":{"observed_at":"2026-08-14T14:46:44.104160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:44.061988Z","title":"Optical music imaging: Music document digitisation, recognition, evaluation, and restoration","venue":null,"work_id":"29d1a054-b65d-4f7c-965a-328ce0a9d624","year":2008},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.105616Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:96e7f1b2a728d578fd0ea40333d526518fcb2878bf089bd7fded704e5c2e3c59","observation_id":"336633a2-4765-4b77-85eb-f00851bd4f69","resolution":{"observed_at":"2026-08-14T14:46:44.069245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:44.030774Z","title":"DocCreator: A new software for creating synthetic ground-truthed document images","venue":null,"work_id":"79e8f118-65e0-44e9-9ba3-78b034869fd3","year":2017},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.114959Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:6d9169ce0c46d0630d160f205084f6c87f9877ac12901a98a02379408ba18c6f","observation_id":"c740ff29-a4e4-4bd5-9758-faa5eb703d96","resolution":{"observed_at":"2026-08-14T14:46:44.040325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:44.008415Z","title":"Optical character-recognition of printed music : A review of two dissertations","venue":null,"work_id":"8bc997c7-915e-430e-8742-265ab79af231","year":1972},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.122723Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:02772fe9862058fee95ebd1d2f54db3e7a591281baf712a2ae20624b2da50b7f","observation_id":"5a602d98-d738-410f-a94d-ae628c6add37","resolution":{"observed_at":"2026-08-14T14:46:44.017626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:43.978991Z","title":null,"venue":null,"work_id":"781002a6-5354-4461-81d2-f24294240913","year":2017},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.129869Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:3688ecf883fed92f9dc2d19ff719dbcc34de09126d5fb06a92b1ae25a29c21f9","observation_id":"90cdcc97-8099-44d7-9952-cf608bd04222","resolution":{"observed_at":"2026-08-14T14:46:43.984842Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:43.943002Z","title":"Issues in ground-truthing graphic documents","venue":null,"work_id":"6267bc2d-fb64-4c97-87af-fcc153dd82a1","year":2002},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.136102Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:4ec316fdefb699ae6e859e181cc6f05e310ea07222bb8eff4c0e5e75cec2ef7c","observation_id":"2950b367-f36d-4861-96fa-a009007314c1","resolution":{"observed_at":"2026-08-14T14:46:43.952951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:43.920098Z","title":"Optical music recognition on android platform","venue":null,"work_id":"33ca59af-577f-4204-b8c2-1fa1496699ce","year":2012},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.143134Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:44cfb744c332ea9f5411fa2b664f906df55f9ecbe39b193a6f35d74e30442009","observation_id":"8c50f011-6358-4f0e-a81b-1316834049e4","resolution":{"observed_at":"2026-08-14T14:46:43.926694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:46:43.897217Z","title":"Handwritten musical document retrieval using music-score spotting","venue":null,"work_id":"f77b957c-97aa-459a-91cd-799be32f4b16","year":2013},"citing_paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition","version":3},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-14T14:46:41.150629Z"},"links":{"citing_paper":"/paper/1908.03608"},"observation_digest":"sha256:cce7d3a2a3ce10a57b6c262ade6a2c4cac2b0c5d9bbd4b519f2b3bd1da515cbc","observation_id":"7bad366b-bb74-44d2-b16d-5edf6aa1fda0","resolution":{"observed_at":"2026-08-14T14:46:43.905285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.03608","last_updated":"2020-07-29T08:59:52Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T14:40:07.862404Z","submitted_at":"2019-08-07T08:37:16Z","title":"Understanding Optical Music Recognition"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":92,"verified_exact":0,"verified_fuzzy":8},"total_outbound_references":171},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 100 of 171 outbound references and 0 inbound Pith citation observations for arXiv:1908.03608."}