{"as_of":"2026-08-05T10:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:adaa04c2c52a9efa5363cbe6770c8d7be60406d36e51b170b1900357a8f1f1e8","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T23:24:27.273133Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T06:37:34.385513Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.06654","snapshot_observed_at":"2026-07-13T06:37:34.385513Z","title":"Karystinaios, J","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.08806","last_updated":"2026-07-09T10:03:53Z","snapshot_observed_at":"2026-07-15T23:17:53.045430Z","submitted_at":"2026-07-09T10:03:53Z","title":"Tonnetz-Driven Graph Wedgelet for Harmonic Complexity Reduction in Music Scores","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-13T06:37:34.385513Z"},"links":{"cited_paper":"/paper/2509.06654","citing_paper":"/paper/2607.08806"},"observation_digest":"sha256:e96ee0e7c2f81777cef456824c79dd21c48e38d06804d86c82806aa16170ad5a","observation_id":"bbda208f-ebde-40b8-a8e6-86ce516893a6","resolution":{"observed_at":"2026-07-13T06:37:34.385513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2509.06654/citation-record","integrity":"/paper/2509.06654/integrity","json":"/paper/2509.06654/citation-record.json","paper":"/paper/2509.06654"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:24:27.623247Z","title":"Transactions of the International Society for Music Information Retrieval (TISMIR)2(1), 82–96 (2019)","venue":null,"work_id":"733d7968-fe77-4b97-baba-3056a55d532c","year":2019},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.180052Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:2c41e4faf7ef40f3fe4e4e58d978056747013413f87dbcd826222f1f1519e1ea","observation_id":"0ee8a995-1909-49e0-b380-a4eec468b558","resolution":{"observed_at":"2026-08-04T23:24:27.627841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.609442Z","title":"In: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR) (2018)","venue":null,"work_id":"5852150d-1c30-400c-868e-5ed81d3b2437","year":2018},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.184478Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:5293a480787e084dc6a55dee8b2d8210b8c389c669c65e80cb3ee79f5d91022c","observation_id":"1c1c229b-29dc-40f3-8d08-544ddcad463a","resolution":{"observed_at":"2026-08-04T23:24:27.613796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.596085Z","title":"In: International Joint Conference on Artificial Intelligence (IJCAI) (2023)","venue":null,"work_id":"f18fb3e0-5dd4-42f7-864a-c1e1fd36a6ef","year":2023},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.188645Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:69ddfad73ea9557c40dd82df11e5309d3034b5f4855cb20b6b0a8c591ad751bb","observation_id":"be3bd9ff-a6db-43d5-a8a1-f2775dea4095","resolution":{"observed_at":"2026-08-04T23:24:27.600179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.583238Z","title":null,"venue":null,"work_id":"cd3800ef-db4e-43cd-9e92-f13557691594","year":2015},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.192573Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:2a1b60e04181565dd0b3de7c7090a2e09f9d34f0316931cee7537389c65ada37","observation_id":"24756ee7-fd93-4762-8405-c10c3aeb5c16","resolution":{"observed_at":"2026-08-04T23:24:27.586965Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.571001Z","title":"In: Proceedings of the European conference on computer vision (ECCV)","venue":null,"work_id":"9cd1fe0d-1289-4fe4-84ae-687d81f3f237","year":2018},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.196795Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:a0904affd56e2f7fb8829d3a2ab9e6a1ec3ae7a938e2808e5229a0aac6bab6a6","observation_id":"d87804e4-37fe-4514-a829-7a2efa661413","resolution":{"observed_at":"2026-08-04T23:24:27.575059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.13844105","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://doi.org/10.5281/zenodo.13844105,https://doi.org/ 10.5281/zenodo.13844105","venue":"Zenodo (CERN European Organization for Nuclear Research)","work_id":"d74bfeb2-a7e8-4398-801f-81d668662693","year":2025},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.201163Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:948367afdda687da942a0fef62a354e606873ed3e675a67576e407382f04c753","observation_id":"0c0376e2-2fe5-4e62-a96f-ddea634a3248","resolution":{"observed_at":"2026-08-04T23:24:27.343241Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.558361Z","title":"In: Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019","venue":null,"work_id":"9325b24f-3e9a-4785-8adf-ea7846ff2d77","year":2019},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.205689Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:ac79acc30066a8131c986904350b9ec3a057e5153a48e45f1a4c91bb43387d53","observation_id":"fb598b1b-85be-4db6-a06e-8da73c37dcd4","resolution":{"observed_at":"2026-08-04T23:24:27.562473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.545633Z","title":"In: Proceedings of the 23rd International Society for Music Information Retrieval Conference, ISMIR 2022, Bengaluru, India, December 4-8, 2022","venue":null,"work_id":"7e304e1d-3fb9-4a55-92d1-d9abf8a4697d","year":2022},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.209791Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:7328f7cf6f5e0ae1005692522baf6d9a8d417fdb613de0378f17d2019268401e","observation_id":"ad5efa79-64a4-4c5f-9fd3-af48546181cc","resolution":{"observed_at":"2026-08-04T23:24:27.549572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:24:27.213924Z","title":"In: Proceed- ings of the 24th International Society for Music Information Retrieval Con- ference, ISMIR 2023, Milan, Italy, November 5-9, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.213924Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:356a159cb82e9e91c20ec5c91a504a9a997b986317309998b213b181e6dac75d","observation_id":"afb7e41a-e98b-4956-9086-d6bac0445056","resolution":{"observed_at":"2026-08-04T23:24:27.213924Z","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":"2026-08-04T23:24:27.217649Z","title":"In: Proceedings of the 25th International Society for Music Information Re- trieval Conference, ISMIR 2024, San Francisco, California, USA and Online, Novem- ber 10-14, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.217649Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:34432ad2dbae6c978a3c1bf4c03154dadfda5c303dc09938f11adfff75defc5c","observation_id":"ce2d38ea-8e16-4fb4-8fb6-a157a0800832","resolution":{"observed_at":"2026-08-04T23:24:27.217649Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.06334","last_updated":"2018-05-17T16:12:16Z","snapshot_observed_at":"2026-08-04T09:18:49.772826Z","submitted_at":"2018-05-16T13:59:20Z","title":"Auxiliary Tasks in Multi-task Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.06334","snapshot_observed_at":"2026-08-04T23:24:27.221492Z","title":"arXiv preprint arXiv:1805.06334 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.221492Z"},"links":{"cited_paper":"/paper/1805.06334","citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:bf89bc2ab5defdb841e3a9e5a9f329ed8583c9e5422b1d478affc506bca71a89","observation_id":"4168fbdb-b898-4775-82a9-e088d74bb582","resolution":{"observed_at":"2026-08-04T23:24:27.221492Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08155","last_updated":"2024-09-12T15:51:09Z","snapshot_observed_at":"2026-07-06T19:14:29.532578Z","submitted_at":"2024-09-12T15:51:09Z","title":"Hierarchical Symbolic Pop Music Generation with Graph Neural Networks","version":1},"cited_work":{"arxiv_id":"2409.08155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.08155","snapshot_observed_at":"2026-08-04T23:24:27.380380Z","title":"Hierarchical Symbolic Pop Music Generation with Graph Neural Networks","venue":"eess.AS","work_id":"0b3ce6cb-2d3a-4e90-8af1-13ffb9afe58c","year":2024},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.225948Z"},"links":{"cited_paper":"/paper/2409.08155","citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:273ec3834b0fc7ee159d548c7c6e3231b24dc9e17960bd0673f40b3922bf05c9","observation_id":"4c2067fb-743b-48e8-a67d-e39a15652d32","resolution":{"observed_at":"2026-08-04T23:24:27.385679Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.532795Z","title":"Advances in Neural Information Processing Systems36, 57226–57243 (2023)","venue":null,"work_id":"28c77249-ce40-4137-bab5-3570736b9cdf","year":2023},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.230328Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:5143ef91d232e099ccdd76475354308854c8488c29296c80eac58079773cec1e","observation_id":"0466922e-ccf1-47c1-90b0-115d68bbcda8","resolution":{"observed_at":"2026-08-04T23:24:27.536879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.520125Z","title":"In: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR)","venue":null,"work_id":"62096c55-df53-49f2-b337-a37a46b64b0e","year":2021},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.234227Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:0ed028724bb1ee3d8a17c8a2c6f04b43379b50f71a9d79c4ee1eb1c54aae8fec","observation_id":"49df1a0f-a7e5-4c67-aa90-8f2c3d87c7cb","resolution":{"observed_at":"2026-08-04T23:24:27.523917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.506588Z","title":"Transactions of the International Society for Music Information Retrieval (TISMIR)3(1), 42–54 (2020)","venue":null,"work_id":"1e017d85-af19-431a-a144-30d29cdf7bb5","year":2020},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.237849Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:65eaedca01522a4e1e989314f08b7c5ee038adde6fa7d79b36970c38e91ff6ae","observation_id":"ec008a3f-c4c0-45eb-b2c4-963e12e60fbe","resolution":{"observed_at":"2026-08-04T23:24:27.511153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.492833Z","title":"In: Proceedings of the Interna- tional Society for Music Information Retrieval Conference (ISMIR)","venue":null,"work_id":"7f1ae546-6f53-446d-94e3-ab9bb24c4905","year":2021},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.241439Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:494adfee7859321087180b93cf6f0e5bd4aeca9e05bb3303e39ecb96e2dca9e0","observation_id":"2734e288-bff5-4db7-862e-4122767d7c16","resolution":{"observed_at":"2026-08-04T23:24:27.496940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.478839Z","title":"ACL Anthology (2021)","venue":null,"work_id":"18947d63-3566-4b8c-a88a-9bee734f372e","year":2021},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.245141Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:86cbfa81fcc0fde50351ddd3dafc7fa894cf5b47bb5f0b95fe794bd365854f73","observation_id":"6854e4df-a27d-44a1-bec9-b49b8970edf9","resolution":{"observed_at":"2026-08-04T23:24:27.483332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"record/5624533","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:24:27.357931Z","title":"In: Proceedings of the 22nd International Society for Music Informa- tion Retrieval Conference, ISMIR","venue":null,"work_id":"f6adcf3c-082e-4737-90f3-94797a423649","year":2021},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.248760Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:449277368d1909d85a525d60fb9b2fb297b456a9985a853eb3dc599353d7ab06","observation_id":"4ee7981a-cdc3-4a2f-9895-389b1954e0a3","resolution":{"observed_at":"2026-08-04T23:24:27.364702Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.464489Z","title":"Computer Music Journal28(3), 45–52 (2004), http://www.jstor.org/stable/ 3681508","venue":null,"work_id":"62613e6a-4378-477d-9c9c-b4a1ae69638a","year":2004},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.252697Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:31f775e3e48ca9775d4fb9fdfe2d218aeb9d9869b3d34264f970b178aae7afce","observation_id":"a94631bd-747e-4db2-ad12-50991f98d864","resolution":{"observed_at":"2026-08-04T23:24:27.469014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.450342Z","title":"In: Proceedings of the International Society for Music Information Retrieval Conference (ISMIR) (2024)","venue":null,"work_id":"5ad6a074-477f-41ce-8121-8632127179ae","year":2024},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.256547Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:33f2fc4318a52547d3df61b3e87aa63420a4f3517895c9f67889a21138a74fb8","observation_id":"35112721-2b5c-4c50-a968-275d727ad434","resolution":{"observed_at":"2026-08-04T23:24:27.454570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.437348Z","title":"Journal of New Music Research47(1), 29–52 (2018)","venue":null,"work_id":"219204e7-762c-4e2b-859b-4a8cb2dd872b","year":2018},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.260481Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:03c128723bab5c2703998763f41bc653d7d3ca46c3303182d5dda5a50f0b9aca","observation_id":"7d49e9b8-1144-487d-9c55-ca7f18261ff8","resolution":{"observed_at":"2026-08-04T23:24:27.441252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.424609Z","title":"MIT Press, Cambridge, Mass","venue":null,"work_id":"84a3fe45-9cfd-4152-bcea-3b4ed9c44a22","year":2001},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.264729Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:3d7d94d4f3ef3b4e954e85c23c8ede79582698f462a69f6689eb0d84e15b30c1","observation_id":"d9132bf8-29f6-490c-9c7e-960195686f14","resolution":{"observed_at":"2026-08-04T23:24:27.428493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1080/09298210902928495","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Journal of New Music Research38(1), 3–18 (Mar 2009)","venue":"Journal of New Music Research","work_id":"55b42e96-3b6f-4ffc-b23c-df2cfebba816","year":2009},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.268607Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:d03ab6e4e225ae05f7d1423cace2f0e138262358af2e187700ea0a0995811211","observation_id":"a161d109-0165-4e52-88f1-34d8f65d4183","resolution":{"observed_at":"2026-08-04T23:24:27.309072Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-08-04T23:24:27.410532Z","title":"IEEE transactions on knowledge and data engineering34(12), 5586–5609 (2021)","venue":null,"work_id":"195a22f0-7176-4486-8748-131f2c76da77","year":2021},"citing_paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T23:24:27.273133Z"},"links":{"citing_paper":"/paper/2509.06654"},"observation_digest":"sha256:160e5a8bca852668f91cd2ef0b022e19d358e656782fbf0d0df0350a19435fe0","observation_id":"9d670e4d-1db4-4bba-979e-38e0fbc01d6d","resolution":{"observed_at":"2026-08-04T23:24:27.414738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.06654","last_updated":"2025-09-08T13:11:54Z","latest_version":1,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-04T23:24:26.827058Z","submitted_at":"2025-09-08T13:11:54Z","title":"AnalysisGNN: Unified Music Analysis with Graph Neural Networks"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":4,"verified_exact":3,"verified_fuzzy":16},"total_outbound_references":24},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2509.06654."}