{"as_of":"2026-08-13T08:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5fde18effc093740475ab8b9e2eab9fba659154ed1b340f01444fff6af2fada3","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T17:06:56.108118Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.00980/citation-record","integrity":"/paper/2502.00980/integrity","json":"/paper/2502.00980/citation-record.json","paper":"/paper/2502.00980"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:06:55.944231Z","title":"LeCun, Y","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.944231Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:5a9b330c46c11b1d24b8e461d914b6fe8811442f35d5b0d4350d245d36d92f04","observation_id":"1f4be988-0318-4eb7-ae40-45fbbc8110c1","resolution":{"observed_at":"2026-08-09T17:06:55.944231Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:06:56.778444Z","title":"Cybenko, Approximation by superpositions of a sigmoidal function, Mathematics of Control, Signals and Systems 2 (1989) 303–314","venue":null,"work_id":"fd10670a-453f-4f41-8a4a-016ce86738d0","year":1989},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.949562Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:4e795b3d66fb92869a451f14e0298775bf78ea7bcb19ae6b91d45784bcbfffab","observation_id":"da0df2e0-8541-4f41-999a-dda4b9c34bb9","resolution":{"observed_at":"2026-08-09T17:06:56.783118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.767077Z","title":"Zhang, B","venue":null,"work_id":"e8c431e6-f47d-47b6-9e38-527042045857","year":1998},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.953411Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:8cade83565e932b73a3b226f653ff487abac49f7607a57feea43c6863f7e7e60","observation_id":"3cc86dff-80ef-4073-a67b-a1b2592d5f63","resolution":{"observed_at":"2026-08-09T17:06:56.770657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.755791Z","title":"Cont, Empirical properties of asset returns: stylized facts and statistical issues, Quantitative Finance 1 (2001) 223","venue":null,"work_id":"36624c73-dc3f-47f1-98e8-1a9395f69b7d","year":2001},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.957263Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:148faa42a168328312cdc7195e08e5ce67771c63b36ae17e042ec9cfe1a55f1f","observation_id":"35ae483a-87b0-4eb5-9f1b-7e3305147638","resolution":{"observed_at":"2026-08-09T17:06:56.759724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.744378Z","title":null,"venue":null,"work_id":"d5ae24ce-08c7-44ea-874d-0c2f1eaa07bf","year":1996},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.960847Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:e049805b8fae2cf91ea2cf07bce827bfb2731572bcd60d4fbb39a7223ac232fb","observation_id":"9676dd2a-9506-49e7-bfb6-40e39a33eef3","resolution":{"observed_at":"2026-08-09T17:06:56.748076Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.733978Z","title":null,"venue":null,"work_id":"ab90ff79-8321-48ec-8f16-61944a00202b","year":2008},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.964405Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:c4cc841de69f4dce2826951001ee4112558358ba7ae0be3a73452f1f6b2f5ad1","observation_id":"51aa1039-1833-4926-938c-7dfcc86ad135","resolution":{"observed_at":"2026-08-09T17:06:56.737427Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.723342Z","title":"Satchell, J","venue":null,"work_id":"ce8a95ec-6e47-4ed2-a08b-781f4373018a","year":2011},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.968524Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:075609e82ea4924274b05cddf1eeeef15c91755b2ee4159f4aadcc19054ab27e","observation_id":"842a7b5c-3fc5-4c0e-8ee8-99170cbc6457","resolution":{"observed_at":"2026-08-09T17:06:56.727160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:55.972082Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.972082Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:3147b9cf761bab585bec6f30db03ed33d148d1530114319bc1c6625a3442724b","observation_id":"75b273d6-5290-416b-a7d3-96e384692088","resolution":{"observed_at":"2026-08-09T17:06:55.972082Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:06:56.705936Z","title":null,"venue":null,"work_id":"23bf5c76-5939-4a93-b0ec-eed90638bbbd","year":1987},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.975526Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:c2b9c1028757789a5a52dcc22f68337b5fd51ce04bccbee1ffcf0b058279f57d","observation_id":"c661ea06-3e43-4fa3-8c02-054458a8ef50","resolution":{"observed_at":"2026-08-09T17:06:56.709427Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.695026Z","title":"Fernandes, M","venue":null,"work_id":"4899ff44-790d-4c48-a797-00909d4aa550","year":2014},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.979371Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:13ff4774553d318dc24e5a3b9d0fd85012a3b0ca3c97246c34db5161b8ffba21","observation_id":"9fbb9539-e6cd-42fb-8908-e0f5990da6cb","resolution":{"observed_at":"2026-08-09T17:06:56.699105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.684562Z","title":"Corsi, A simple approximate long-memory model of realized volatility, Journal of Financial Econometrics 7 (2009) 174–196","venue":null,"work_id":"48348e91-0240-4f30-82f5-85bf59643398","year":2009},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.982816Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:2c9d34dc434575fce63c358ef2276cf9c86fcfc9ed48cf662169f27ef826aca3","observation_id":"b36b8ebb-a9b9-4c77-9391-2eb436e95e3d","resolution":{"observed_at":"2026-08-09T17:06:56.688237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.673531Z","title":null,"venue":null,"work_id":"2b9921e2-9d49-4e82-a7cd-97c2fe2af19a","year":2008},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.986437Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:5a1dbb388d13e09662852baac7296df7a9282bbd892c1bede54073d10f7f89b0","observation_id":"f87b217a-3bd4-4dee-a47b-ad41f2aaf91b","resolution":{"observed_at":"2026-08-09T17:06:56.677454Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.662744Z","title":null,"venue":null,"work_id":"ebd24157-de01-4c2e-ad4a-0bf3004f89c5","year":2007},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.989894Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:22af957e4c92fbf0a497cd2471edfe5665872102c7ee28b9e25bb309a4e93cb9","observation_id":"88a1c517-32cf-4947-ae54-cc4587305c31","resolution":{"observed_at":"2026-08-09T17:06:56.666503Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.652693Z","title":null,"venue":null,"work_id":"1d313e28-244b-4742-b89a-c31da6a6dfb2","year":2009},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.993444Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:b6256c9c295c2afd3c5a04dbe26ea5f4bdf0d77ab9b8b521ee44c39df3b7e035","observation_id":"f756e767-abd3-44b5-af47-48447a7dd730","resolution":{"observed_at":"2026-08-09T17:06:56.656034Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.642688Z","title":"Izzeldin, M","venue":null,"work_id":"21e5c065-a24d-44ea-a76f-3d732446f1cc","year":2019},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:55.996985Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:0af13781463ead4d310200576642d23f3e1447f94612a4331e2cd69a14329125","observation_id":"d7a56879-b5c2-4aac-ac6e-742f698d7242","resolution":{"observed_at":"2026-08-09T17:06:56.646124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.631760Z","title":"Bollerslev, Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics 31 (1986) 307–327","venue":null,"work_id":"0f45fefc-70a1-45cd-8e95-4e40b3b7dd47","year":1986},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.000429Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:00bc665817969b98c7e22bd8944e4124a78c89984d17284839075cd75449a1ef","observation_id":"0848bd1b-81b7-4583-a0ec-63720374679a","resolution":{"observed_at":"2026-08-09T17:06:56.635750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.621245Z","title":null,"venue":null,"work_id":"cdd098bf-5587-494d-acfa-058e044b7f6a","year":2022},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.004233Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:8bf816fa5ac62c9c2c963f558928aa4ff136ff7915aba53b4b15910edd1eeddc","observation_id":"b9f95513-6fa1-4c40-9d97-211ead9ddf0e","resolution":{"observed_at":"2026-08-09T17:06:56.624748Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.610063Z","title":"Mostafa, T","venue":null,"work_id":"f0a92925-c7fe-48ae-afd0-55c3fe464e42","year":2015},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.007850Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:f6299b103e63052334ccd527c27045e10239f830837ba48c7862471c5ec17f35","observation_id":"0e926319-412b-42e8-9414-8a3d406c351b","resolution":{"observed_at":"2026-08-09T17:06:56.613925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.599234Z","title":"Kumar, S","venue":null,"work_id":"3b131d1a-da8f-4c15-98cc-0e1bc41f4e1d","year":2015},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.011270Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:04570c8531357511f3c9753e38c56b984c9950828c9b2379f12fbbcde643134d","observation_id":"73321f3c-5e15-474c-aad5-c4dd14730612","resolution":{"observed_at":"2026-08-09T17:06:56.603006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.588270Z","title":null,"venue":null,"work_id":"526cfee7-2929-4bf4-be15-70f4467c463b","year":2018},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.014801Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:20e5a60dfbffaa2d6cc318e99fa10df9baa55be288454aff365a392b8812eb5a","observation_id":"11200215-9beb-4e91-bd7e-b3ab09aa9bdd","resolution":{"observed_at":"2026-08-09T17:06:56.591916Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.576932Z","title":"Petneh ´azi, J","venue":null,"work_id":"279a63db-a931-4d39-aad1-7dae01c2c8f0","year":2019},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.018319Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:a8560a590ca9569f50539791455ffcf676933df1a69194dfbfdd81b4e7a8d462","observation_id":"6c306598-0c9b-4ec6-8620-fd9ebb38dc43","resolution":{"observed_at":"2026-08-09T17:06:56.580806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.565090Z","title":null,"venue":null,"work_id":"37c79238-1881-4c6c-acbb-33577aa75823","year":2018},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.021860Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:62283991799d4d367bac1eb5758c3d93405ff88b9214da6682704974b3b907ec","observation_id":"e3798bec-f184-49dd-8e82-8f2b7b379be7","resolution":{"observed_at":"2026-08-09T17:06:56.568787Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.554533Z","title":"Liu, Novel volatility forecasting using deep learning–long short term memory recurrent neural networks, Expert Systems with Applications 132 (2019) 99–109","venue":null,"work_id":"c2e6bcc7-d8ca-4e80-ab75-ea39a4c4aff9","year":2019},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.025313Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:fc8e8444d1d512fde8c79fb876184604cdd984da5b6fbfd28d3cc6520ab40130","observation_id":"eb980847-a374-4272-b39e-bc3064beb90c","resolution":{"observed_at":"2026-08-09T17:06:56.558193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.542725Z","title":"Lahmiri, A variational mode decompoisition approach for analysis and forecasting of economic and financial time series, Expert Systems with Applications 55 (2016) 268–273","venue":null,"work_id":"c93c1c64-c6a9-4829-98ca-54d552b8a70f","year":2016},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.028588Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:4024f74dc98f1c5b84055ead4457c08e4818c7ed8304308e7fc818ba0a9a79ea","observation_id":"6f121476-3b1b-4e01-afc2-e4863cdbc23f","resolution":{"observed_at":"2026-08-09T17:06:56.546933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.531794Z","title":"Litimi, A","venue":null,"work_id":"ea26a739-4867-4186-b93e-5d220e2cbd62","year":2018},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.032282Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:04cb949824fce95706707bc2cd6a402ecac6e1503277a83af1aa51f9d336dcaa","observation_id":"c1f1a8b0-85b6-4953-8c89-4fa43b0a3b76","resolution":{"observed_at":"2026-08-09T17:06:56.535470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.19756","last_updated":"2025-02-09T21:09:09Z","snapshot_observed_at":"2026-07-06T18:07:47.744531Z","submitted_at":"2024-04-30T17:58:29Z","title":"KAN: Kolmogorov-Arnold Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.19756","snapshot_observed_at":"2026-08-09T17:06:56.035852Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.035852Z"},"links":{"cited_paper":"/paper/2404.19756","citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:584d713e49bd9586448568272b186632fd14e74d301dcd9744c5998d6b5c08ff","observation_id":"46c9c0b9-f003-4e41-8ab8-38520c8fbd1f","resolution":{"observed_at":"2026-08-09T17:06:56.035852Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:06:56.520568Z","title":null,"venue":null,"work_id":"60d7fa13-c009-4a58-9a35-6ec6799b2d4a","year":1957},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.040015Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:79d550725a8e6f7c318eb6c76023bc5d7e42f5e139c7b4e4ac2432d61c18d27e","observation_id":"635bdf7e-bff7-410a-a0be-c283e623a568","resolution":{"observed_at":"2026-08-09T17:06:56.524657Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.043715Z","title":null,"venue":null,"work_id":null,"year":1961},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.043715Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:7d06416066f9cb7a09aa9c98b7c37461cce0065de12cfe5668169a28830476b3","observation_id":"c6443849-c82b-45f7-a8b7-361416385a90","resolution":{"observed_at":"2026-08-09T17:06:56.043715Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07488","last_updated":"2024-08-27T08:44:20Z","snapshot_observed_at":"2026-08-13T00:09:11.975416Z","submitted_at":"2024-05-13T06:04:26Z","title":"Predictive Modeling of Flexible EHD Pumps using Kolmogorov-Arnold Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07488","snapshot_observed_at":"2026-08-09T17:06:56.047416Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.047416Z"},"links":{"cited_paper":"/paper/2405.07488","citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:2072871aae6a59a8808470eba8dff15e3730dcdca7630ed040d6649ab4dd7705","observation_id":"a3118867-49e6-4fa9-add8-f4cb92c33fc6","resolution":{"observed_at":"2026-08-09T17:06:56.047416Z","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":"2026-08-09T17:06:56.051450Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.051450Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:2500bde1bb61028c110a19212fa1e5f230733a76e75159e144e819c375f32fb2","observation_id":"f1c3c0bb-c3cd-4ad9-bcd4-21c3889a6362","resolution":{"observed_at":"2026-08-09T17:06:56.051450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:06:56.502805Z","title":"Alves, F","venue":null,"work_id":"a78c51c0-bf08-47c3-b121-4adedbb1c5df","year":2024},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.054812Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:91df01644993864102fba387d807da556550a7194fc1b20bf51dbef4be2cd824","observation_id":"2a46f1e7-2dc5-44ff-bbb7-1d84725bc46e","resolution":{"observed_at":"2026-08-09T17:06:56.506446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02496","last_updated":"2024-06-04T17:14:31Z","snapshot_observed_at":"2026-08-12T23:50:18.534344Z","submitted_at":"2024-06-04T17:14:31Z","title":"Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02496","snapshot_observed_at":"2026-08-09T17:06:56.058280Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.058280Z"},"links":{"cited_paper":"/paper/2406.02496","citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:d1d708b211d93345c27aa15e6acf05d26b317f2fa810d799da8430199a846dad","observation_id":"8b5d5c45-f3c2-4fb7-982d-de2e8e449cc6","resolution":{"observed_at":"2026-08-09T17:06:56.058280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17890","last_updated":"2024-12-09T16:37:12Z","snapshot_observed_at":"2026-08-12T23:34:59.638832Z","submitted_at":"2024-06-25T18:58:39Z","title":"SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17890","snapshot_observed_at":"2026-08-09T17:06:56.061987Z","title":"Inzirillo, R","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.061987Z"},"links":{"cited_paper":"/paper/2406.17890","citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:8e9d589f6cbc7c9a5ca95d9b271cb2a9b0f107d0a868415b8d08a6b80041c946","observation_id":"66d64a68-7c17-430e-a8e3-78b3a3e990e6","resolution":{"observed_at":"2026-08-09T17:06:56.061987Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07344","last_updated":"2025-07-14T14:09:59Z","snapshot_observed_at":"2026-08-13T00:09:21.989958Z","submitted_at":"2024-05-12T17:40:48Z","title":"TKAN: Temporal Kolmogorov-Arnold Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07344","snapshot_observed_at":"2026-08-09T17:06:56.065440Z","title":"Genet, H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.065440Z"},"links":{"cited_paper":"/paper/2405.07344","citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:047adc2d2af5a2bdd70e9e8ac5291776af6d3feec5f047ac997e363b84d10ca3","observation_id":"d4825459-6d6c-4a9b-9fcd-5e8811494b34","resolution":{"observed_at":"2026-08-09T17:06:56.065440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02486","last_updated":"2024-06-05T16:32:16Z","snapshot_observed_at":"2026-08-12T23:50:19.258441Z","submitted_at":"2024-06-04T16:55:42Z","title":"A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02486","snapshot_observed_at":"2026-08-09T17:06:56.068942Z","title":"Genet, H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.068942Z"},"links":{"cited_paper":"/paper/2406.02486","citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:08b3fe7a0f47b021cce8ffaa2c427e8f02aa2c2214c15ba938f9b6aadf1ce534","observation_id":"4064da23-8169-4668-a4be-3d1610126506","resolution":{"observed_at":"2026-08-09T17:06:56.068942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:06:56.492061Z","title":null,"venue":null,"work_id":"c5710d8f-8834-4834-a03f-4bcffd48ae0c","year":2009},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.073417Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:7b2d3a8f46ed3efa393fc485a4303d44c22e2858b2d68981e229c626292bca6d","observation_id":"cdb7e88c-181d-45d8-af29-fb1a4f4fff17","resolution":{"observed_at":"2026-08-09T17:06:56.495480Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.481554Z","title":null,"venue":null,"work_id":"27dfafaf-2b11-492b-9a39-13524dfd973c","year":1993},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.076755Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:a0061cf22f4d7b4b92ac9a47e5229e2f150a288b9d83d9f11b0ab75a5aa070a6","observation_id":"a45c5814-46e9-41c2-8553-e0bfb0089306","resolution":{"observed_at":"2026-08-09T17:06:56.485183Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.470933Z","title":"Kwiatkowski, P","venue":null,"work_id":"3184ed22-b135-4e6b-bcc7-a5b65c4df48b","year":1992},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.080197Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:7f80f27d2727d21dba5add09d14d9d6e14e21e95a9403671cd86f56e861502f7","observation_id":"29e63e5c-05c8-426e-8427-ad54cd4969d4","resolution":{"observed_at":"2026-08-09T17:06:56.474727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.460182Z","title":"Goodfellow, Deep learning, 2016","venue":null,"work_id":"f0bb8d1c-5077-4f7e-bd5d-55c37a33cade","year":2016},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.083581Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:a0a5e87baece103f1fb12f8539fe4bcd84f7ebb0d8f2474c62df340309f4d7a4","observation_id":"b1e9bf56-1b47-46d6-b927-13dba7fc3cfc","resolution":{"observed_at":"2026-08-09T17:06:56.464028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.450051Z","title":null,"venue":null,"work_id":"d563f95c-95db-4689-900e-6147e82a5176","year":1998},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.086863Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:d132d5b3b1b22c65a3e9f17ef90bce88c5d634f827c112ece464f3431c7a0afe","observation_id":"7cdd964d-a06b-4826-9938-ec02ad728630","resolution":{"observed_at":"2026-08-09T17:06:56.453509Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.438375Z","title":null,"venue":null,"work_id":"10ae03d0-52b1-45d1-85fd-b97489e48e0d","year":2020},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.090079Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:d95defb85c714f9b92db50e284d12fdf529a5c068d4ea601b3d075d1bd673c25","observation_id":"f28c9292-d593-439b-a451-9dcd503fbfff","resolution":{"observed_at":"2026-08-09T17:06:56.442682Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.426912Z","title":null,"venue":null,"work_id":"d0bf2033-9da2-47df-a883-c065e5298ec9","year":1993},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.093256Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:d6a07d8784321eb0ad1e45670922c91c307799f90b12caafca184f6a7e302140","observation_id":"67422eb3-f236-4922-adab-15322d26adec","resolution":{"observed_at":"2026-08-09T17:06:56.430748Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.415589Z","title":null,"venue":null,"work_id":"0d2544b6-056d-4c6d-832a-e6a50c927104","year":1987},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.096698Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:046b83455258b029925eb6a4f50161415e38b7e76d354748a1097a15654b6714","observation_id":"20480748-7035-41ae-b4fc-d2cb9912d283","resolution":{"observed_at":"2026-08-09T17:06:56.419291Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.403940Z","title":null,"venue":null,"work_id":"8bae819c-d59b-4f42-82f3-0b5df2eda0f3","year":1969},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.100751Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:fc83f7e6c119355601c57bebe265052b766153db5855f5fa34681f78d90a4e3e","observation_id":"8a8c5f41-e79d-40a7-959e-f3f9f14c5c2a","resolution":{"observed_at":"2026-08-09T17:06:56.407729Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.392493Z","title":"Durbin, G","venue":null,"work_id":"3215f394-57a0-4639-abfb-460004940048","year":1992},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.104462Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:48c324fb289c8d8b4999c79beb38c07c973169a30c4b01408954233b61850ff6","observation_id":"94a48251-9980-4715-95da-833bf29d8114","resolution":{"observed_at":"2026-08-09T17:06:56.396247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-09T17:06:56.379726Z","title":"Durbin, G","venue":null,"work_id":"4654666b-84e0-4ecf-849c-477534e1f321","year":1992},"citing_paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-09T17:06:56.108118Z"},"links":{"citing_paper":"/paper/2502.00980"},"observation_digest":"sha256:adbe7c9f2b9352cb3c3239424a7de89ad1e053b31b6abca05035586c423a74ae","observation_id":"5a953aa8-3868-4c05-8bda-d531fd8ff945","resolution":{"observed_at":"2026-08-09T17:06:56.384416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.00980","last_updated":"2025-02-03T01:24:02Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T21:46:59.638386Z","submitted_at":"2025-02-03T01:24:02Z","title":"Forecasting VIX using interpretable Kolmogorov-Arnold networks"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":0,"verified_fuzzy":19},"total_outbound_references":46},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2502.00980."}