{"as_of":"2026-08-06T02:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6467f90df8abf29e4881262fdb3c7638f41b200cd04f645abf48da6ec1bb757e","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T04:46:42.967498Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"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":"2026-08-02T04:46:38.998647Z","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":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2607.13587","snapshot_observed_at":"2026-08-02T04:46:38.998647Z","title":"From Prediction to Collaboration: Interac- tive Symbolic Music Analysis","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:38.998647Z"},"links":{"cited_paper":"/paper/2607.13587","citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:b50a50f6b8e09a944571a9e6dfb4022c89bea2c131ca52b1fdcea110d4878945","observation_id":"85e7b650-66a5-40eb-988d-3f37a86a94d2","resolution":{"observed_at":"2026-08-02T04:46:38.998647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2607.13587/citation-record","integrity":"/paper/2607.13587/integrity","json":"/paper/2607.13587/citation-record.json","paper":"/paper/2607.13587"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2607.13587","snapshot_observed_at":"2026-08-02T04:46:38.998647Z","title":"From Prediction to Collaboration: Interac- tive Symbolic Music Analysis","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:38.998647Z"},"links":{"cited_paper":"/paper/2607.13587","citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:b50a50f6b8e09a944571a9e6dfb4022c89bea2c131ca52b1fdcea110d4878945","observation_id":"85e7b650-66a5-40eb-988d-3f37a86a94d2","resolution":{"observed_at":"2026-08-02T04:46:38.998647Z","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":"2026-08-02T04:46:39.140524Z","title":"Early systems used recurrent and multi-task formulations [8, 9], while later attention-based models improved the han- dling of longer-range harmonic context [10]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:39.140524Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:ca208105954b8adc04bc8f699ff6b5b4133b890f18f87ffa7ab5f8999e473f2c","observation_id":"d867eff5-a1dd-4866-bc98-e4a99bab4d4c","resolution":{"observed_at":"2026-08-02T04:46:39.140524Z","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":"2026-08-02T04:46:39.290571Z","title":"f: Ger6/V/i","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:39.290571Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:f882fbe009029211ac9212ff034619b5fc8dc9e87cbd21ee141bc13c9f9866fb","observation_id":"b6c71d66-6680-4db3-86c1-0184a4f14bbb","resolution":{"observed_at":"2026-08-02T04:46:39.290571Z","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":"2026-08-02T04:46:39.454560Z","title":"Post-hoc voter","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:39.454560Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:c4fd25965e1a577e33e655a65583e532a89a42028cf5c51793a111fc6b88015b","observation_id":"4b2367dd-1909-4991-b7b5-dba5dcf15337","resolution":{"observed_at":"2026-08-02T04:46:39.454560Z","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":"2026-08-02T04:46:39.650377Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:39.650377Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:13b8cf399e32b50df64881c423ad81a9975519c7cd0c268ce4623510e2820a39","observation_id":"8bc01ea2-e11a-425a-ae44-398eb92f5a38","resolution":{"observed_at":"2026-08-02T04:46:39.650377Z","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":"2026-08-02T04:46:39.849945Z","title":"Analysts, however, do not reason about notes in isolation; they work with harmonic labels placed at change-points and scoped to beats, measures, or longer segments","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:39.849945Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:2bace93ba6f62427913e1579e43cfdf09122c393a17b71544bbda231372b54a8","observation_id":"4737d4eb-06bb-4be2-8ae5-64225a48771d","resolution":{"observed_at":"2026-08-02T04:46:39.849945Z","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":"2026-08-02T04:46:40.010067Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:40.010067Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:2feca08d0f4d344b4ecb09771482c012b5bcce82c250bd7649ff63ee16b53b82","observation_id":"cf061384-66dd-4499-81bd-c993ef83ee9f","resolution":{"observed_at":"2026-08-02T04:46:40.010067Z","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":"2026-08-02T04:46:40.131221Z","title":"Towards a Unified Model of Musical Form: Bridging Music The- ory, Digital Corpus Research, and Computation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:40.131221Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:923acd2fa5662e04a2d8afc517c4d8eda959c775a89cae5fc52ddb2cab181527","observation_id":"c92ae447-28b0-4498-bdd9-81480b520d36","resolution":{"observed_at":"2026-08-02T04:46:40.131221Z","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":"2026-08-02T04:46:40.304137Z","title":"Musicbert: Symbolic music understanding with large- scale pre-training,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:40.304137Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:2ca2c9033e68ee067699125a62f21a12dd035f2d26a432a609972ad7d6387ae3","observation_id":"f1ba9730-d80b-4a79-9b5e-513f5a4a91b9","resolution":{"observed_at":"2026-08-02T04:46:40.304137Z","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":"2026-08-02T04:46:40.496967Z","title":"Rnbert: Fine-tuning a masked language model for roman numeral analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:40.496967Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:9f673b05f217b1299712d2aa75303b3802d10825fb94ca4f7518b8c6cbf3699b","observation_id":"05f9a5b4-53ea-4bdc-8a1b-92c755b89448","resolution":{"observed_at":"2026-08-02T04:46:40.496967Z","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":"2026-08-02T04:46:40.666619Z","title":"Roman numeral anal- ysis with graph neural networks: Onset-wise predic- tions from note-wise features,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:40.666619Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:b81ec532343d9a3285be1fa803157af749dfe2301ae2c646eaa3c0f179524322","observation_id":"161ff0b1-9666-4c06-b278-ec4d5e9b7bc9","resolution":{"observed_at":"2026-08-02T04:46:40.666619Z","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":"2026-08-02T04:46:40.830590Z","title":"Analysisgnn: Unified music analysis with graph neural networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:40.830590Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:d193fbc0853a7fafeb3f45b0cd742899603bd5c92a9de9eb4486af3ef565d4f7","observation_id":"175076d5-4468-4d80-9a0b-3e9bb0b21930","resolution":{"observed_at":"2026-08-02T04:46:40.830590Z","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":"2026-08-02T04:46:40.995321Z","title":"Dilemmadata: A symbolic dataset for music research,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:40.995321Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:65d532b2308cf285ef892e2dac9d4bcba293b85dea6c9fbbd0e8667811588707","observation_id":"3e2ed2a3-e201-4752-a120-e2b2a5d81126","resolution":{"observed_at":"2026-08-02T04:46:40.995321Z","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":"2026-08-02T04:46:41.197186Z","title":"AugmentedNet: A Roman Numeral Analysis Network with Synthetic Training Examples and Additional Tonal Tasks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:41.197186Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:fef8294b3e7f9ac6f301e6e19fc43f3d51dafcd6eedf04c05e71a4a639059d3f","observation_id":"d2db9425-a1b3-48b4-88bc-040a8ab955c7","resolution":{"observed_at":"2026-08-02T04:46:41.197186Z","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":"2026-08-02T04:46:41.342754Z","title":"A corpus and a modular infrastructure for the empirical study of (an)notated music,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:41.342754Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:62dccb514a848f9f8aab5b3fd01509195182a5351f907eeb88a91ce6b231c58f","observation_id":"3d2fd332-a1d5-4c51-844a-557d49982e35","resolution":{"observed_at":"2026-08-02T04:46:41.342754Z","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":"2026-08-02T04:46:41.486711Z","title":"Functional harmony recognition of symbolic music data with multi-task recurrent neural networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:41.486711Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:f221d8f4384bf6c8a76791c8fa489f8b116e0c332b038ce83234c4c5e82a7538","observation_id":"f97c694e-5d1a-4c5f-925a-63306cac1305","resolution":{"observed_at":"2026-08-02T04:46:41.486711Z","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":"2026-08-02T04:46:41.595979Z","title":"Not all roads lead to rome: Pitch representation and model archi- tecture for automatic harmonic analysis,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:41.595979Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:6e7484d2e04941637f8d597cc65f9447fe935b84d86d9072d61084104ee5f457","observation_id":"6105ff34-59f7-4351-bd1a-ec4f185f6b0f","resolution":{"observed_at":"2026-08-02T04:46:41.595979Z","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":"2026-08-02T04:46:41.704600Z","title":"Attend to chords: Improving harmonic analysis of symbolic music using transformer- based models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:41.704600Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:9c56315719bf5b9f3aebe710b414abceb6a84d86f98c79f93251c51ba3d39f28","observation_id":"ac5306b3-761c-4868-910e-ab3e09b4bf2f","resolution":{"observed_at":"2026-08-02T04:46:41.704600Z","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":"2026-08-02T04:46:41.842279Z","title":"A deep learning method for enforcing coherence in automatic chord recognition,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:41.842279Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:eb4300d58cc160046f45562b58e2fd6c521071b82dd0cbb92b4e52b80c6c8e78","observation_id":"d14f6618-21ce-4c35-b10f-d4f762851302","resolution":{"observed_at":"2026-08-02T04:46:41.842279Z","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":"2026-08-02T04:46:41.969271Z","title":"The neural autoregressive distribution estimator,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:41.969271Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:c25a1ba5416950ff349bd2537f22af246241c5022f99b279a33e7fb268ae1573","observation_id":"3b3dd696-0238-4b7e-8e30-43c556c88e59","resolution":{"observed_at":"2026-08-02T04:46:41.969271Z","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":"2026-08-02T04:46:42.130380Z","title":"Interpretable music harmonic analysis through multi- linear mixture of experts,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:42.130380Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:e8d397dba25814ff80a77db033e5d35d47a2912cd5ae59408df90cfec0ad9e2b","observation_id":"55273e84-bce0-4085-b874-853285794c74","resolution":{"observed_at":"2026-08-02T04:46:42.130380Z","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":"2026-08-02T04:46:42.226424Z","title":"When in rome, listen to your corpus: A meta-corpus of functional harmony,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:42.226424Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:fc573f505120ee78945c26b4600206c7f5a8d0106452aec8552799476e1cf6f5","observation_id":"6262930b-cc41-41d1-ac14-28836f78429f","resolution":{"observed_at":"2026-08-02T04:46:42.226424Z","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":"10.5334/tismir.63/","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T04:48:28.988762Z","title":"The Annotated Mozart Sonatas: Score, Harmony, and Cadence,","venue":null,"work_id":"5f6f1ec0-d44d-4c44-bf21-6a549ce1214b","year":2021},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:42.355378Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:6310ae2f4c5861d74c3c8dc7990fabedd598a667bf3fbd6884b1370edfff53a6","observation_id":"3d51ef88-7822-4c3a-bfff-b5094f2d1550","resolution":{"observed_at":"2026-08-02T04:48:29.081239Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"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":"2026-08-02T04:46:42.505678Z","title":"musicbert-large,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:42.505678Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:2caa58c727d628847a28113f29b6e1d9299e03952f91331d9c36eea84aa457f6","observation_id":"62bebcde-4f52-4be6-8595-508292cf76b3","resolution":{"observed_at":"2026-08-02T04:46:42.505678Z","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":"10.5281/zenodo.14877421","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"GraphMuse: A Library for Symbolic Music Graph Processing","venue":"Zenodo (CERN European Organization for Nuclear Research)","work_id":"202298e6-a269-4e16-95d3-8d2fe5bdbfff","year":2024},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:42.627292Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:832b7db0dd0e2aa95e7a74af900150818d73e2fb3328ec9927bc3eabd1deed46","observation_id":"e6085f71-885b-40ff-848e-308964a5ead1","resolution":{"observed_at":"2026-08-02T04:48:28.972526Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T04:46:42.745951Z","title":"Gradient surgery for multi-task learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:42.745951Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:0eff9e69aa9986d41c434d0aff48fd609ea4cf7256df139658be1f88163b1c53","observation_id":"7752214b-e238-4117-9f18-29ba6a9e0414","resolution":{"observed_at":"2026-08-02T04:46:42.745951Z","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":"2026-08-02T04:46:42.836369Z","title":"Conflict- averse gradient descent for multi-task learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:42.836369Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:fd929ae9b218363f624a66f3157e63db190182532627cb8cb909c7aa2753e27c","observation_id":"690e063e-5014-4b54-999c-f1412c57a5d5","resolution":{"observed_at":"2026-08-02T04:46:42.836369Z","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":"2026-08-02T04:46:42.967498Z","title":"Gradnorm: Gradient normalization for adap- tive loss balancing in deep multitask networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T04:46:42.967498Z"},"links":{"citing_paper":"/paper/2607.13587"},"observation_digest":"sha256:0af62e9d4c73e67b8f4b789494acfbee1d89946f357267564097055d34ce0750","observation_id":"d708609e-ce9c-4878-84d6-2e1ae156cb63","resolution":{"observed_at":"2026-08-02T04:46:42.967498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.13587","last_updated":"2026-07-15T08:28:43Z","latest_version":1,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-04T22:40:06.293673Z","submitted_at":"2026-07-15T08:28:43Z","title":"From Prediction to Collaboration: Interactive Symbolic Music Analysis"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":28},"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 6 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2607.13587."}