{"as_of":"2026-08-05T15:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c7b2ec66f6e3b98c8a74a66866b5d8a178f45bf319d8480e617bf9842508fc7e","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-25T00:55:33.165353Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"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":"2026-05-25T00:55:33.165353Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-05-25T00:56:30.432183Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"cited_work":{"arxiv_id":"1907.03572","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.03572","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","venue":"cs.SD","work_id":"199d9908-631d-4304-9a4d-bc05d541029d","year":2019},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"cited_paper":"/paper/1907.03572","citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:a72c4b3fca4c2b2558c2f71001fdbb5093ae036d713b1dd5179ab3b13dad04d7","observation_id":"469abebe-6835-4a2c-83a8-b33028251e1b","resolution":{"observed_at":"2026-05-25T00:56:30.435347Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/1907.03572/citation-record","integrity":"/paper/1907.03572/integrity","json":"/paper/1907.03572/citation-record.json","paper":"/paper/1907.03572"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"cited_work":{"arxiv_id":"1907.03572","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.03572","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","venue":"cs.SD","work_id":"199d9908-631d-4304-9a4d-bc05d541029d","year":2019},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"cited_paper":"/paper/1907.03572","citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:a72c4b3fca4c2b2558c2f71001fdbb5093ae036d713b1dd5179ab3b13dad04d7","observation_id":"469abebe-6835-4a2c-83a8-b33028251e1b","resolution":{"observed_at":"2026-05-25T00:56:30.435347Z","resolver_source":"local_arxiv","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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"843fd8fc-ed96-4dfb-ab59-85e68ad58a5b","year":null},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:d3fe2c74d10a9a9cdd81f3c50c14c31409d8ec612e494327324ea8ad9f616ebf","observation_id":"d97b07c9-a1a3-4da8-9ec8-bc5a95ff1160","resolution":{"observed_at":"2026-05-25T00:56:30.878598Z","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":"2026-06-05T21:23:00.469572Z","title":"The idea is that they should represent musi- cal characteristics that are easily perceived and recognized by most listeners, without any music-theoretical training","venue":null,"work_id":"df7ef812-0e54-4249-b8cc-9abdbd8b76e9","year":null},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:478c0457a87c40a86860c441080eb900fbe4a53d444e580cba873e521954d0b1","observation_id":"bdb98fbb-4753-45ba-8f12-d3a0dd26e78e","resolution":{"observed_at":"2026-05-25T00:56:30.886966Z","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":"2026-06-05T21:23:00.469572Z","title":"Our starting point is Aljanaki & Soleymani’sMid-level Percep- tual Features dataset [1], which provides mid-level fea- ture annotations","venue":null,"work_id":"7b41ffed-b8b0-45d6-9c5e-49a0332ca84c","year":null},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:0db6487b2643ab608077e1e5e11897b41a338a08c8ed0d26e60cda98384fb362","observation_id":"d6f583a0-c014-47fd-a40f-1138ae996453","resolution":{"observed_at":"2026-05-25T00:56:30.873773Z","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":"2026-06-05T21:23:00.469572Z","title":"The ratings range from 1 to 10 and were scaled by a factor of 0.1 before being used for our experiments","venue":null,"work_id":"64323871-77c6-4558-b4ec-655b30efecc6","year":null},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:5f6b9c740dd2a5f252c6a062d18d294db12bef51888aaf08b5955a862cb2ddb7","observation_id":"52ac71bd-ddf3-442f-89ca-27ca2005f8ce","resolution":{"observed_at":"2026-05-25T00:56:30.883351Z","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":"2026-06-05T21:23:00.469572Z","title":"A2Mid2E-Joint","venue":null,"work_id":"3d53f452-21a1-4b7b-910b-7803fddd13d8","year":2048},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:d6978c6d11c1e6bec4a85ae707e492fb5c2be522223221775786461b53d4fe18","observation_id":"cc70890d-fafc-4d7a-a73c-5f07a09ced13","resolution":{"observed_at":"2026-05-25T00:56:30.808114Z","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":"2026-06-05T21:23:00.469572Z","title":"cost of explainability","venue":null,"work_id":"5a081ee5-0297-4910-94cc-e9887da06641","year":null},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:34d32cbb4395f607dd5577a02e606214d0ad6bce464d1788232776bf2249f2d6","observation_id":"2411553b-5e56-4f73-bd0f-6e94871b55ee","resolution":{"observed_at":"2026-05-25T00:56:30.846606Z","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":"2026-06-05T21:23:00.469572Z","title":"minorness","venue":null,"work_id":"dd6fb1d1-a27e-4adc-9f0d-0c662698b677","year":null},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:95920ae3418d5037bd934a811b16f09a4823b9697867097dde622db0aedbc86b","observation_id":"6656fe87-0460-40e7-9301-9b67825cc29c","resolution":{"observed_at":"2026-05-25T00:56:30.863655Z","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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"501e0068-ba26-436c-a404-c9be90347968","year":null},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:3e6148b46ff788a3c9456b6ec06a311cf43b897d9754be27f0017be99a172c32","observation_id":"a5653a1b-0600-4c33-b4fd-f9a4a21cf71a","resolution":{"observed_at":"2026-05-25T00:56:30.868865Z","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":"2026-06-05T21:23:00.469572Z","title":"Con Espressione","venue":null,"work_id":"29b8d60f-4df3-4636-b7a3-ad80a62f2145","year":2020},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:ac99729e25ebbe2e41a5155836518766eb0bc2ae33200d14105a7026dc83cb57","observation_id":"6e9f6d03-64da-4be4-8f2e-74c90158769d","resolution":{"observed_at":"2026-05-25T00:56:30.875417Z","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":"2026-06-05T21:23:00.469572Z","title":"A data- driven approach to mid-level perceptual musical fea- ture modeling","venue":null,"work_id":"761adc15-68ca-4ba0-ba3c-379379c98513","year":2018},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:1c4bc64ace6ad5bc4c0aecacfacb028483291c4d7ecd2d67600bbc1212ab24b6","observation_id":"a90951f8-3214-4225-9b97-5a289ada61d0","resolution":{"observed_at":"2026-05-25T00:56:30.822156Z","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":"2026-06-05T21:23:00.469572Z","title":"Developing a benchmark for emotional anal- ysis of music","venue":null,"work_id":"5d2d2ff0-6f74-4588-bd7a-a163200a530f","year":2017},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:141367a21c8136cfc295f938b7535a96460b875db497aa0edd9496e1663839dd","observation_id":"7f085cb3-d40f-42ba-bec5-fcf894182f71","resolution":{"observed_at":"2026-05-25T00:56:30.852140Z","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":"2026-06-05T21:23:00.469572Z","title":"Automatically esti- mating emotion in music with deep long-short term memory recurrent neural networks","venue":null,"work_id":"103aff2e-19c4-4c33-9101-f2ac6a8c03b0","year":2015},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:e6773be43915a1ed1c9a3e17715ad38ad652d5a5b9b3397987543cdd32c90827","observation_id":"b3733db9-099b-45f9-8ee5-6dcbdd49bdec","resolution":{"observed_at":"2026-05-25T00:56:30.831712Z","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":"2026-06-05T21:23:00.469572Z","title":"Vuoskoski","venue":null,"work_id":"27cb1f56-dc10-4ad7-a4b8-4b32947f49f0","year":2011},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:b2d62eea3a09584243d043cbf4a81bfbb907071cada6646506eb74a05622fcbb","observation_id":"61656878-5352-46f7-bfe6-d29eae9377db","resolution":{"observed_at":"2026-05-25T00:56:30.775154Z","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":"2026-06-05T21:23:00.469572Z","title":"Using listener-based perceptual features as intermediate rep- resentations in music information retrieval","venue":null,"work_id":"39e590f1-87ce-40b9-a00b-659436200f21","year":1951},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:df55a933c90700a8860fa6868504f4b70dd12f0bf68f63ea22ce84c229c88d86","observation_id":"c95ffa89-3589-434c-b60d-24f3540ac92e","resolution":{"observed_at":"2026-05-25T00:56:30.828808Z","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":"2026-06-05T21:23:00.469572Z","title":"Auto- mated music emotion recognition: A systematic evalu- ation","venue":null,"work_id":"7bd78fcf-1ccf-477d-88a1-8efd79ef18ab","year":2010},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:6ec7c55120b441b16de7562af05da3c517112f178346b9ebcbca95eba87a093b","observation_id":"b9fe6fad-0916-4009-9519-4d4ca289ead1","resolution":{"observed_at":"2026-05-25T00:56:30.816060Z","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":"2026-06-05T21:23:00.469572Z","title":"Music emotion recognition: A state of the art review","venue":null,"work_id":"2b1c216d-9986-42bf-a5f7-e00fdb324e04","year":2010},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:78c402581c98a87ddf134014de0904c0f860639e8552dfdcc4cb66012a1fefa0","observation_id":"46896de6-44d2-4ffc-a7c5-789178629a46","resolution":{"observed_at":"2026-05-25T00:56:30.812882Z","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":"2026-06-05T21:23:00.469572Z","title":"Neuron activation profiles for interpreting convolu- tional speech recognition models","venue":null,"work_id":"7d84a556-9c65-4f1e-839c-f9af6e52f263","year":2018},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:ea832b5ab4098eee748997009440c3e24da2a89d89fc4735c7d64f951b8d1b8c","observation_id":"ac05970e-1cd0-49ba-ab69-b4a3b172f48a","resolution":{"observed_at":"2026-05-25T00:56:30.847105Z","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":"2026-06-05T21:23:00.469572Z","title":"Music emotion recognition based on two- level support vector classification","venue":null,"work_id":"b6151208-35d4-45d2-80fe-fe23561425f9","year":2016},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:f1a126d99041f9cfb176e2f85e941ddca11d253086f4503fcaca5f04a771ce19","observation_id":"4cd5a1ef-fbb8-4dc7-9873-b9c9c9bb21fa","resolution":{"observed_at":"2026-05-25T00:56:30.837699Z","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":"2026-06-05T21:23:00.469572Z","title":"Interpretable Machine Learn- ing","venue":null,"work_id":"a73657e6-ae55-4ddf-a597-1249b7ac344d","year":2019},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:d10f17c3fe5f4ef0426596a5ec479c994c3e2a699b6a591b5eb271d385dd329c","observation_id":"3871df8d-1c11-45d6-a1fb-44f3bee147c0","resolution":{"observed_at":"2026-05-25T00:56:30.862530Z","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":"2026-06-05T21:23:00.469572Z","title":"Multi-modal mu- sic emotion recognition: A new dataset, methodology and comparative analysis","venue":null,"work_id":"cdb5c527-dc47-4e26-a451-742b14bbe21a","year":null},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:54adacbe53ff8caffc2be01de97c17064b06e3490026a5ee9ad23442bff1706d","observation_id":"53177972-26b6-4ccc-b772-ed67ac5d2f94","resolution":{"observed_at":"2026-05-25T00:56:30.882859Z","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":"2026-06-05T21:23:00.469572Z","title":"Multi-modal mu- sic emotion recognition: A new dataset, methodology and comparative analysis","venue":null,"work_id":"1fcf3ecf-44b6-48e1-b70d-12b9934e2419","year":2013},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:b733646c200b853be0d88ac598d63e71702dd5074f1652a0dd5cc303b9faea6e","observation_id":"4dd98d38-c691-4f4c-b70a-3c12b9a3fd4a","resolution":{"observed_at":"2026-05-25T00:56:30.803746Z","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":"2026-06-05T21:23:00.469572Z","title":"Speaker recogni- tion from raw waveform with sincnet","venue":null,"work_id":"edf1c333-415c-4b97-ad30-0b7968f64527","year":2018},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:f1aa0a8f79c1f0be10d7aa6bad9718f0e1cbf3066b647ebfbb286c22103d2aae","observation_id":"8d461990-9e57-4168-a440-a831534606e9","resolution":{"observed_at":"2026-05-25T00:56:30.818880Z","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":"2026-06-05T21:23:00.469572Z","title":"Optimized scoring sys- tems: Toward trust in machine learning for healthcare and criminal justice","venue":null,"work_id":"6a9212e8-0f27-4b05-b110-9e3d498c00bc","year":2018},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:bb400b6cfd4d970f4d5598b2d9fdedc8078e3663080ad35894b43b6cd48bb567","observation_id":"94ebe304-87fb-4798-96b4-51338b4bcd69","resolution":{"observed_at":"2026-05-25T00:56:30.857177Z","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":"2026-06-05T21:23:00.469572Z","title":"A circumplex model of affect","venue":null,"work_id":"42317b6f-784a-4b8a-8cca-90718820488e","year":1980},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:b3b6469db3f968a1ee6d6d2f7b6bd37a16ce122c39a03455c4fb1bfe4c6387b8","observation_id":"a994901f-321a-4aaa-a6fa-cc780d0bee59","resolution":{"observed_at":"2026-05-25T00:56:30.841063Z","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":"2026-06-05T21:23:00.469572Z","title":"Very deep convolutional networks for large-scale image recogni- tion","venue":null,"work_id":"b9ffd9a7-fde2-4d43-a106-de44e64e2a60","year":2015},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:0bb49a1171d86114a135a3134e2e95d204b0d9e241c53f52239a88ec5b93aa0f","observation_id":"db51e897-7e72-4e30-b3ca-038126363bc7","resolution":{"observed_at":"2026-05-25T00:56:30.887504Z","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":"2026-06-05T21:23:00.469572Z","title":"Getting closer to the essence of mu- sic: The Con Espressione Manifesto","venue":null,"work_id":"66f618b2-b171-4108-985c-2aff33981f73","year":2017},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:4a657aba9118ad1bc73d883c39ba7dbb3f97b63847758e4ef8ae38e58ba6783b","observation_id":"1ed60551-15ba-45ab-89bb-995eb60342c9","resolution":{"observed_at":"2026-05-25T00:56:30.879335Z","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":"2026-06-05T21:23:00.469572Z","title":"emotion in music","venue":null,"work_id":"7403654a-f618-4848-aff4-09fc71a2625c","year":2015},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:3cf5d45855fd085ea90132685c15c3d73bb5c9755a3b2fb96af28e900494e9e5","observation_id":"1f7e657c-5cce-418c-9ac4-52b0649af96b","resolution":{"observed_at":"2026-05-25T00:56:30.852782Z","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":"2026-06-05T21:23:00.469572Z","title":"Bridge the semantic gap between pop mu- sic acoustic feature and emotion: Build an interpretable model","venue":null,"work_id":"8cd100f9-f414-4d80-b2ad-d47b77559d37","year":2016},"citing_paper":{"arxiv_id":"1907.03572","last_updated":"2019-07-08T12:58:02Z","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-25T00:55:33.165353Z"},"links":{"citing_paper":"/paper/1907.03572"},"observation_digest":"sha256:83e0afb9159cb186fe3e685383dca1368558cef2385ad69e38096eb22e0c83cc","observation_id":"3d7429d4-dbd6-4a29-a445-9296a52504ad","resolution":{"observed_at":"2026-05-25T00:56:30.856790Z","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":"1907.03572","last_updated":"2019-07-08T12:58:02Z","latest_version":1,"primary_category":"cs.SD","snapshot_observed_at":"2026-07-06T08:05:48.377851Z","submitted_at":"2019-07-08T12:58:02Z","title":"Towards Explainable Music Emotion Recognition: The Route via Mid-level Features"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":1,"verified_fuzzy":26},"total_outbound_references":29},"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 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:1907.03572."}