{"as_of":"2026-08-23T01:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cd07209ee21d90a8051930f9e586f899380d68d9df86d98c59bd3929fd7b7759","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":43,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:33:10.081913Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":39,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-12T14:33:07.542829Z","title":"Kolmogorov-arnold networks are radial basis function networks.arXiv preprint arXiv:2405.06721, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.15111","last_updated":"2025-06-13T07:52:33Z","snapshot_observed_at":"2026-08-21T11:13:10.656769Z","submitted_at":"2024-11-22T18:25:13Z","title":"Learnable Activation Functions in Physics-Informed Neural Networks for Solving Partial Differential Equations","version":4},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T14:33:07.542829Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2411.15111"},"observation_digest":"sha256:d26048e3f399fde5424de556975cc92af10f11ed6a16e73897033868ab28ec86","observation_id":"56e03286-b225-49bc-a54a-a21aaf99755e","resolution":{"observed_at":"2026-08-12T14:33:07.542829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-11T13:08:20.537830Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.13571","last_updated":"2024-12-18T07:42:34Z","snapshot_observed_at":"2026-08-17T01:08:07.131719Z","submitted_at":"2024-12-18T07:42:34Z","title":"PowerMLP: An Efficient Version of KAN","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T13:08:20.537830Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2412.13571"},"observation_digest":"sha256:7b27d7341f5a1d75a6e5fe5ab5beb2123d74103d254b77fac4a452d09fd9b6b6","observation_id":"6687df9f-49dc-438f-bb4e-81f8501c8b44","resolution":{"observed_at":"2026-08-11T13:08:20.537830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-11T10:23:14.080126Z","title":"Li, Kolmogorov-Arnold networks are radial basis function networks, arXiv preprint arXiv:2405.06721 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.16738","last_updated":"2024-12-21T19:01:38Z","snapshot_observed_at":"2026-08-13T00:26:49.327599Z","submitted_at":"2024-12-21T19:01:38Z","title":"KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T10:23:14.080126Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2412.16738"},"observation_digest":"sha256:0fb3dc7999772d00a94e2f843d29f5ba57b6900342d0920fbad321119f6d193a","observation_id":"038a53fc-31d6-4e86-bfd7-c461cbec70ba","resolution":{"observed_at":"2026-08-11T10:23:14.080126Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-10T22:09:10.533166Z","title":"Kolmogorov-arnold networks are radial basis function networks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.02762","last_updated":"2025-01-06T05:03:08Z","snapshot_observed_at":"2026-08-15T04:53:27.585216Z","submitted_at":"2025-01-06T05:03:08Z","title":"Scaled-cPIKANs: Domain Scaling in Chebyshev-based Physics-informed Kolmogorov-Arnold Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:10.533166Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2501.02762"},"observation_digest":"sha256:b8caf4911bd835ba03aa8c401a0f352200f249c2ea68337baf5457b84bff5d22","observation_id":"9726c31c-0912-466f-a1f1-b07fa087228a","resolution":{"observed_at":"2026-08-10T22:09:10.533166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-10T21:24:14.198243Z","title":"Kolmogorov- Arnold Networks are Radial Basis Function Net works","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.05490","last_updated":"2025-01-09T07:36:28Z","snapshot_observed_at":"2026-08-10T21:18:02.836363Z","submitted_at":"2025-01-09T07:36:28Z","title":"Interpretable deep learning illuminates multiple structures fluorescence imaging: a path toward trustworthy artificial intelligence in microscopy","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T21:24:14.198243Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2501.05490"},"observation_digest":"sha256:686830642dec8fd4411f13c7014d2b01abc9a77a47cd9686c8decec195ec0122","observation_id":"6a4f2bea-dae7-4e1f-a645-edebbfbca6f5","resolution":{"observed_at":"2026-08-10T21:24:14.198243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-10T20:55:22.596957Z","title":"Kolmogorov-arnold networks are radial basis function networks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.07032","last_updated":"2025-02-11T06:47:56Z","snapshot_observed_at":"2026-08-20T05:39:06.009214Z","submitted_at":"2025-01-13T03:07:39Z","title":"PRKAN: Parameter-Reduced Kolmogorov-Arnold Networks","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T20:55:22.596957Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2501.07032"},"observation_digest":"sha256:f64eadc743f6c91cfe99890d79790b92b6dcbfe2be0bd187b136e49a0cadf98b","observation_id":"eeda8b72-10c1-44a9-921c-3486fbc05d46","resolution":{"observed_at":"2026-08-10T20:55:22.596957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-10T16:16:19.145888Z","title":"Kolmogorov-arnold networks are radial basis function networks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13456","last_updated":"2025-03-11T08:59:12Z","snapshot_observed_at":"2026-08-18T09:08:15.605831Z","submitted_at":"2025-01-23T08:14:55Z","title":"KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks","version":4},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T16:16:19.145888Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2501.13456"},"observation_digest":"sha256:ddbf8225b56bd2ba2110c0053043d2019e805ecc1d4bf1dc5259199d786481eb","observation_id":"b9e5ff67-647d-4bbf-b221-b690be8712b0","resolution":{"observed_at":"2026-08-10T16:16:19.145888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-09T13:05:20.267269Z","title":"URL: http://arxiv.org/abs/2405.06721","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.02195","last_updated":"2025-07-09T10:59:52Z","snapshot_observed_at":"2026-08-18T08:54:55.793774Z","submitted_at":"2025-02-04T10:21:14Z","title":"EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T13:05:20.267269Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2502.02195"},"observation_digest":"sha256:49a757a7fdb81d5ce04a504ff4ac0b0fe17a0f67c0e513289b8a380204e7cbcf","observation_id":"390ea09b-8406-4a9d-a609-40e6439343ac","resolution":{"observed_at":"2026-08-09T13:05:20.267269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-08T16:44:22.838823Z","title":"Kolmogorov-arnold networks are radial basis function networks","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.06910","last_updated":"2025-02-26T09:04:40Z","snapshot_observed_at":"2026-08-19T14:40:46.182859Z","submitted_at":"2025-02-10T03:51:26Z","title":"TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T16:44:22.838823Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2502.06910"},"observation_digest":"sha256:9813bb0fa7e06ff544d9a9ee028bc3f3091d76d96d01e2e60f12a78781818bad","observation_id":"fc92840b-335f-41a0-a9ef-18970f7eef6e","resolution":{"observed_at":"2026-08-08T16:44:22.838823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-08T13:37:10.476647Z","title":"Liu, Z., Wang, Y ., Vaidya, S., Ruehle, F., Halverson, J., Solja ˇci´c, M., Hou, T","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.07176","last_updated":"2025-03-01T19:24:31Z","snapshot_observed_at":"2026-08-15T11:44:00.491049Z","submitted_at":"2025-02-11T01:59:46Z","title":"MatrixKAN: Parallelized Kolmogorov-Arnold Network","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T13:37:10.476647Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2502.07176"},"observation_digest":"sha256:3398942ec4165889b03ecca99c224465afc9f288ffa09a2cbf7aaccf856206e6","observation_id":"72bb32be-9721-44ac-946d-a510f6659551","resolution":{"observed_at":"2026-08-08T13:37:10.476647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-16T12:33:10.081913Z","title":"Li, Kolmogorov-Arnold Networks are Radial Basis Function Networks, arxiv preprint arXiv:2405.06721 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12580","last_updated":"2025-08-25T19:35:55Z","snapshot_observed_at":"2026-08-18T09:09:33.575928Z","submitted_at":"2025-04-17T01:53:28Z","title":"ChemKANs for Combustion Chemistry Modeling and Acceleration","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T12:33:10.081913Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2504.12580"},"observation_digest":"sha256:fb459d64acd24f264a4165b4695680a77ae6b511fa2f5f1091ea6d9842a50fff","observation_id":"8d7717c2-e842-462f-aef9-4c71f309105c","resolution":{"observed_at":"2026-08-16T12:33:10.081913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-16T11:52:24.632779Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14471","last_updated":"2025-04-20T03:37:32Z","snapshot_observed_at":"2026-08-19T21:30:55.400312Z","submitted_at":"2025-04-20T03:37:32Z","title":"Efficient Implicit Neural Compression of Point Clouds via Learnable Activation in Latent Space","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T11:52:24.632779Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2504.14471"},"observation_digest":"sha256:0359066bbcc32841c03e01db1b58833b696a5e87c2f45668cc50c0317008b11f","observation_id":"94e1e75a-bedb-4cb3-9ee8-51b0834bcdb9","resolution":{"observed_at":"2026-08-16T11:52:24.632779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-16T11:23:06.721173Z","title":"Li, Kolmogorov-arnold networks are radial basis function networks, arXiv preprint arXiv:2405.06721 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15806","last_updated":"2025-04-23T06:21:23Z","snapshot_observed_at":"2026-08-16T11:15:15.062645Z","submitted_at":"2025-04-22T11:42:02Z","title":"DAE-KAN: A Kolmogorov-Arnold Network Model for High-Index Differential-Algebraic Equations","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T11:23:06.721173Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2504.15806"},"observation_digest":"sha256:f52404b70f64debf9aa0f46e135045e1a4892f6a52e557ce174b89d6eec2524c","observation_id":"70fda198-080d-4cf9-84c9-6fa8b8993494","resolution":{"observed_at":"2026-08-16T11:23:06.721173Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-07T14:01:02.237432Z","title":"Kolmogorov-arnold networks are radial basis function net- works,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20176","last_updated":"2025-05-26T16:16:44Z","snapshot_observed_at":"2026-08-18T09:13:50.362974Z","submitted_at":"2025-05-26T16:16:44Z","title":"\"KAN you hear me?\" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:02.237432Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2505.20176"},"observation_digest":"sha256:e60625ae2971955aa1577519bb89e88e5af5a9dbb422c1281e28c85cc8998616","observation_id":"90aae2fd-ca67-4682-ba0d-f8d2697f5d76","resolution":{"observed_at":"2026-08-07T14:01:02.237432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-07T13:43:15.957510Z","title":"Kolmogorov-arnold networks are radial basis function networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21592","last_updated":"2025-05-27T14:29:35Z","snapshot_observed_at":"2026-08-16T12:08:40.759862Z","submitted_at":"2025-05-27T14:29:35Z","title":"Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessment","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:15.957510Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2505.21592"},"observation_digest":"sha256:ab536b3b282fa2db9bf8b80a52168035669f73e0dd4bc358a748e3d78e492eab","observation_id":"21a511b9-1470-4184-9929-bc836a19875b","resolution":{"observed_at":"2026-08-07T13:43:15.957510Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-07T11:11:03.915041Z","title":"Kolmogorov–Arnold networks are Radial Basis Function networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03302","last_updated":"2025-08-21T16:58:06Z","snapshot_observed_at":"2026-08-16T12:09:39.780716Z","submitted_at":"2025-06-03T18:41:30Z","title":"Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T11:11:03.915041Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2506.03302"},"observation_digest":"sha256:83cce5789a7ff5b17aa237b35e0485cd8c7a0fbe23d384c16ff937c30d5bf53e","observation_id":"9ed08fd6-960e-4906-bb1e-e538186cbef0","resolution":{"observed_at":"2026-08-07T11:11:03.915041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-07T05:37:57.747416Z","title":"Kolmogorov-arnold networks are radial basis function networks.arXiv preprint arXiv:2405.06721,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07549","last_updated":"2025-06-09T08:38:26Z","snapshot_observed_at":"2026-08-18T14:04:04.207843Z","submitted_at":"2025-06-09T08:38:26Z","title":"Improving Memory Efficiency for Training KANs via Meta Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:37:57.747416Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2506.07549"},"observation_digest":"sha256:36e6fa3d955f0a7c846a24dc2aeb407d5c8063f668da101bb24f1c21175e8365","observation_id":"8e805651-baf8-42e3-a73f-bbd7c3cb51de","resolution":{"observed_at":"2026-08-07T05:37:57.747416Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-07T05:26:44.716014Z","title":"Li, Kolmogorov-arnold networks are radial basis function networks, arXiv preprint arXiv:2405.06721 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07958","last_updated":"2025-06-09T17:30:13Z","snapshot_observed_at":"2026-08-20T05:45:32.919558Z","submitted_at":"2025-06-09T17:30:13Z","title":"Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-07T05:26:44.716014Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2506.07958"},"observation_digest":"sha256:5e93e89add910c97a94eb11c9490acc8ae66dea4b4ac0add5ef57c01b95910f1","observation_id":"5d04db39-ad3b-4fd4-9959-82d73bca5bf0","resolution":{"observed_at":"2026-08-07T05:26:44.716014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-06T13:58:32.215250Z","title":"arXiv preprint arXiv:2405.06721 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19888","last_updated":"2025-07-26T09:36:18Z","snapshot_observed_at":"2026-08-09T06:46:06.385009Z","submitted_at":"2025-07-26T09:36:18Z","title":"Multi-Resolution Training-Enhanced Kolmogorov-Arnold Networks for Multi-Scale PDE Problems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T13:58:32.215250Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2507.19888"},"observation_digest":"sha256:b99cf36e07c26fd660f0fcdf200e5d47824163b5cebfa1942da3dff9c6c35007","observation_id":"9fdfa903-016c-4aed-8509-ba4ea274196e","resolution":{"observed_at":"2026-08-06T13:58:32.215250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-06T11:36:58.915629Z","title":"Kolmogorov-Arnold networks are radial basis function networks.arXiv preprint, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.22678","last_updated":"2025-07-30T13:37:40Z","snapshot_observed_at":"2026-08-18T08:54:53.434317Z","submitted_at":"2025-07-30T13:37:40Z","title":"A holomorphic Kolmogorov-Arnold network framework for solving elliptic problems on arbitrary 2D domains","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T11:36:58.915629Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2507.22678"},"observation_digest":"sha256:d4b2919fb892692840baf981e39ce31fd118d96fae2b634c2d75ada278dcc231","observation_id":"e41451fa-064f-4d3b-b79f-7a2ea8e0d205","resolution":{"observed_at":"2026-08-06T11:36:58.915629Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-06T11:09:37.948691Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Net- works,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.23119","last_updated":"2025-09-09T09:32:05Z","snapshot_observed_at":"2026-08-15T03:44:49.989956Z","submitted_at":"2025-07-30T21:46:43Z","title":"Physics-Informed PointNets for Modeling Electromagnetic Scattering from All-Dielectric Metasurfaces with Inclined Nanopillars","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T11:09:37.948691Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2507.23119"},"observation_digest":"sha256:f513b5e85073c39fbafd02956b6ff106a83859918551b3f16ac3c3dac558889d","observation_id":"c780021a-43cd-45c5-8089-0b275e38de7e","resolution":{"observed_at":"2026-08-06T11:09:37.948691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-06T10:22:35.949097Z","title":"Kolmogorov-arnold networks are radial basis function networks.arXiv preprint arXiv:2405.06721, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00247","last_updated":"2025-08-01T01:16:09Z","snapshot_observed_at":"2026-08-18T08:54:52.796026Z","submitted_at":"2025-08-01T01:16:09Z","title":"Sinusoidal Approximation Theorem for Kolmogorov-Arnold Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T10:22:35.949097Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2508.00247"},"observation_digest":"sha256:9ae7e62ff8c1a35fa1514c045972949991477f0fac928eb51aa82a466ed7775f","observation_id":"f8e44a88-436c-43d8-9ecf-777207506d22","resolution":{"observed_at":"2026-08-06T10:22:35.949097Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2510.25781","last_updated":"2026-05-07T06:10:04Z","snapshot_observed_at":"2026-08-21T10:26:20.188221Z","submitted_at":"2025-10-28T03:03:44Z","title":"A Practitioner's Guide to Kolmogorov-Arnold Networks","version":5},"reference_index":126,"source":"pdf_text","source_observed_at":"2026-05-18T03:29:15.570760Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2510.25781"},"observation_digest":"sha256:51d5ca65bb5036fe625e852c67f101148f0b19c26478d03e571342f2d6970a10","observation_id":"876c489c-ae64-46a4-b78b-f0a6763208f5","resolution":{"observed_at":"2026-05-18T03:30:50.756351Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2511.07686","last_updated":"2026-05-13T19:09:01Z","snapshot_observed_at":"2026-08-17T11:14:58.422688Z","submitted_at":"2025-11-10T23:08:54Z","title":"Kolmogorov-Arnold Chemical Reaction Neural Networks for learning pressure-dependent kinetic rate laws","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-17T23:21:45.886146Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2511.07686"},"observation_digest":"sha256:49e8d585e184362248b7c9926f2d4c0f0788eb7f416df0f360f94a97e3ed6369","observation_id":"929a3b26-3321-4da0-8713-ff6c94d33794","resolution":{"observed_at":"2026-05-17T23:22:12.499232Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2512.12448","last_updated":"2026-04-20T18:01:43Z","snapshot_observed_at":"2026-08-15T20:13:02.077756Z","submitted_at":"2025-12-13T20:14:08Z","title":"Optimized Architectures for Kolmogorov-Arnold Networks","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-16T22:26:45.271900Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2512.12448"},"observation_digest":"sha256:207def37ca182596e6a0e8d25bdb9f6acda52930a345e34accf4c45a74898357","observation_id":"a105c3cd-4dac-4a49-b02c-78481d7b030d","resolution":{"observed_at":"2026-05-16T22:28:37.047893Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2603.15250","last_updated":"2026-04-18T00:17:21Z","snapshot_observed_at":"2026-08-13T15:38:35.134744Z","submitted_at":"2026-03-16T13:21:26Z","title":"In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-15T10:13:26.496670Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2603.15250"},"observation_digest":"sha256:40977117312d42f68b4bd2c28da914674917da8c0737d4d43fe48ead39ad3b39","observation_id":"872746aa-2de5-42d4-a066-7b0a1b4f9587","resolution":{"observed_at":"2026-05-15T10:15:26.586204Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2604.03345","last_updated":"2026-06-23T08:55:44Z","snapshot_observed_at":"2026-08-12T20:51:23.062013Z","submitted_at":"2026-04-03T10:18:05Z","title":"Hardware-Oriented Inference Complexity of Kolmogorov-Arnold Networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-13T20:29:26.735003Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2604.03345"},"observation_digest":"sha256:4ebd9dbf9d73b6c446a05a241a152f313fb48aa733a15fe40c55b049064cd717","observation_id":"810e393e-f807-4d27-929d-1182edba535d","resolution":{"observed_at":"2026-05-13T20:33:16.907901Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2604.16842","last_updated":"2026-04-18T05:24:35Z","snapshot_observed_at":"2026-08-16T12:07:53.801150Z","submitted_at":"2026-04-18T05:24:35Z","title":"Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches","version":1},"reference_index":215,"source":"pdf_text","source_observed_at":"2026-05-10T07:13:10.140500Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2604.16842"},"observation_digest":"sha256:c68c359cc182a3e5d6418da3d9850014563e871e9b4038e70de4567143ae6227","observation_id":"3503341b-0f7e-4828-851b-181ea9f537c8","resolution":{"observed_at":"2026-05-10T09:23:37.282429Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2604.21174","last_updated":"2026-08-12T08:07:17Z","snapshot_observed_at":"2026-08-15T23:09:23.757375Z","submitted_at":"2026-04-23T00:41:21Z","title":"Making Gaussian Kolmogorov-Arnold Networks Reliable and Accurate","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-08T13:42:17.380978Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2604.21174"},"observation_digest":"sha256:782072d0bf706b984d0e620b320b94ee106f6021c569990ac4a8ca35a484fc3d","observation_id":"bb2362ac-e3c2-463f-a6a4-bcff622748ee","resolution":{"observed_at":"2026-05-11T18:51:07.096549Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2604.23518","last_updated":"2026-04-26T03:47:18Z","snapshot_observed_at":"2026-08-11T00:13:17.532998Z","submitted_at":"2026-04-26T03:47:18Z","title":"Autocorrelation Reintroduces Spectral Bias in KANs for Time Series Forecasting","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-08T06:28:39.891209Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2604.23518"},"observation_digest":"sha256:bc9a16cff7dad83674a5672517d89f247064f8fed28ff1074b0b508bcc608cbe","observation_id":"9c6dfc41-78b2-484e-8bb0-8815d38140a8","resolution":{"observed_at":"2026-05-11T21:11:19.307788Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2604.23599","last_updated":"2026-05-03T07:38:23Z","snapshot_observed_at":"2026-08-11T13:09:13.804335Z","submitted_at":"2026-04-26T08:24:03Z","title":"Partition-of-Unity Gaussian Kolmogorov-Arnold Networks","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-08T05:05:34.566530Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2604.23599"},"observation_digest":"sha256:ec1b863f3a4173cfc90bc256ce62717172900267ee2e430c65e6e0c09604bd17","observation_id":"f6351072-4e9f-412e-a95c-a2e72f21e260","resolution":{"observed_at":"2026-05-11T21:36:13.056506Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2605.02190","last_updated":"2026-05-04T03:37:43Z","snapshot_observed_at":"2026-08-01T01:52:21.928366Z","submitted_at":"2026-05-04T03:37:43Z","title":"KANs need curvature: penalties for compositional smoothness","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-08T18:55:16.460190Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2605.02190"},"observation_digest":"sha256:247cf023269d453656e57757de69198b8f557380bf178521c3a37ced5e9d0f0d","observation_id":"8f371fcb-e33d-4ee7-9521-d1fa00c13ed7","resolution":{"observed_at":"2026-05-09T06:05:36.373598Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2605.19031","last_updated":"2026-06-10T10:13:12Z","snapshot_observed_at":"2026-08-01T20:31:12.614654Z","submitted_at":"2026-05-18T18:55:46Z","title":"KAN-MLP-Mixer: A comprehensive investigation of the usage of Kolmogorov-Arnold Networks (KANs) for improving IMU-based Human Activity Recognition","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-20T10:36:27.993163Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2605.19031"},"observation_digest":"sha256:8fe103422295743fbeae358d0e078d801e2882807374aa0f5d5bdd7047d33130","observation_id":"447c08a8-73b9-454e-aa1b-c4fb6aef2be2","resolution":{"observed_at":"2026-05-20T10:38:12.450466Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2605.19031","last_updated":"2026-06-10T10:13:12Z","snapshot_observed_at":"2026-08-01T20:31:12.614654Z","submitted_at":"2026-05-18T18:55:46Z","title":"KAN-MLP-Mixer: A comprehensive investigation of the usage of Kolmogorov-Arnold Networks (KANs) for improving IMU-based Human Activity Recognition","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-30T18:14:45.068438Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2605.19031"},"observation_digest":"sha256:a50d11580fdb2446cbea9eb931923561f2fe9e535e771cc7b77abcb7656d69d5","observation_id":"2eed1808-447c-4625-b4ea-67b1b28816de","resolution":{"observed_at":"2026-06-30T18:14:59.241111Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2605.21534","last_updated":"2026-05-20T01:28:34Z","snapshot_observed_at":"2026-08-17T18:34:09.593327Z","submitted_at":"2026-05-20T01:28:34Z","title":"Adaptive RBF-KAN: A Comparative Evaluation of Dynamic Shape Parameters in Kolmogorov-Arnold Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-22T02:00:47.768011Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2605.21534"},"observation_digest":"sha256:d83e6e683571971e25ebd7aa93a8df04ac1b419d3f75e09c79a09582824fbb78","observation_id":"745dcddd-a9dd-4df9-9bc3-20890e2895d0","resolution":{"observed_at":"2026-05-22T02:00:54.966089Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2606.02936","last_updated":"2026-06-01T22:33:53Z","snapshot_observed_at":"2026-08-15T09:50:04.404242Z","submitted_at":"2026-06-01T22:33:53Z","title":"Hierarchical RBF-KAN and RBF-SKAN Architectures for Multidimensional Function Approximation and Random Field Learning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-06-28T15:18:49.885852Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2606.02936"},"observation_digest":"sha256:cf6027940d2da4ac3a11697e879a27da403378a353c85c8daae91bb02706bae2","observation_id":"9fe08623-d316-4e73-a2b2-41043b5fdcae","resolution":{"observed_at":"2026-07-01T22:36:16.832619Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2606.17927","last_updated":"2026-06-23T14:00:02Z","snapshot_observed_at":"2026-08-12T08:26:06.602059Z","submitted_at":"2026-06-16T13:38:58Z","title":"KANLib -- A Modular, Extensible and Fast Kolmogorov-Arnold Network Implementation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-27T01:12:37.506026Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2606.17927"},"observation_digest":"sha256:1bd1428cb77b062ae22aa9792029d231b85b68b8f64b84bc5c0d371d75684949","observation_id":"ddb0f7ce-6430-41c0-933a-0426646487a6","resolution":{"observed_at":"2026-07-03T20:48:55.474925Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":"2405.06721","doi":"10.48550/arxiv.2405.06721","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kolmogorov-Arnold networks are radial basis function ne tworks","venue":"arXiv (Cornell University)","work_id":"1777c604-eabb-4565-9925-74c631bab9c8","year":2024},"citing_paper":{"arxiv_id":"2606.24371","last_updated":"2026-06-23T10:00:26Z","snapshot_observed_at":"2026-08-19T08:36:04.837736Z","submitted_at":"2026-06-23T10:00:26Z","title":"Structural Kolmogorov-Arnold Convolutions: Learnable Function on the Values or the Filter Shape as Parameter-Efficient Alternative to Per-Edge Convolutional KANs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T00:35:36.825962Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2606.24371"},"observation_digest":"sha256:45a2b60ad244e4f1d88bb670c2a8d67e046684f7bcb133936726a35a2242a01f","observation_id":"c63c458d-6af1-4464-9531-190b0e5a8340","resolution":{"observed_at":"2026-07-04T16:29:57.487550Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-02T06:28:26.037990Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13108","last_updated":"2026-07-14T10:18:54Z","snapshot_observed_at":"2026-08-20T00:31:49.233745Z","submitted_at":"2026-07-14T10:18:54Z","title":"STKAN: Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T06:28:26.037990Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2607.13108"},"observation_digest":"sha256:ad35c87459a93e7f4dd30ff07b6ce2274467c34345d823a32ad421bf0c051910","observation_id":"ed3a4934-36cf-42ee-85d7-819406d36fb4","resolution":{"observed_at":"2026-08-02T06:28:26.037990Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-01T23:09:34.612632Z","title":"Kolmogorov–Arnold Networks are radial basis function networks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15525","last_updated":"2026-07-17T00:22:23Z","snapshot_observed_at":"2026-08-19T08:32:31.102043Z","submitted_at":"2026-07-17T00:22:23Z","title":"Kolmogorov--Arnold Networks for Small Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:34.612632Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2607.15525"},"observation_digest":"sha256:7ae87d16ab66e9f84e00eb43e29588890c838c576c754608be9cdfcdfcec5eae","observation_id":"9db9f435-1f00-48b1-9d61-8f0d069d55c3","resolution":{"observed_at":"2026-08-01T23:09:34.612632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-02T09:24:29.733664Z","title":"Li, Kolmogorov-arnold networks are radial basis function networks, arXiv preprint arXiv:2405.06721 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18290","last_updated":"2026-07-27T04:07:50Z","snapshot_observed_at":"2026-08-17T04:24:35.856976Z","submitted_at":"2026-06-30T15:31:59Z","title":"SechKAN: Kolmogorov-Arnold Networks with Hyperbolic Secant Functions","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T09:24:29.733664Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2607.18290"},"observation_digest":"sha256:e17e7f4a34920d628cccfc4116d974be5cc74b383a095fb72bbd355436ea1049","observation_id":"1477f3fc-9396-4251-96eb-dd968039375c","resolution":{"observed_at":"2026-08-02T09:24:29.733664Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-08-01T10:04:22.789479Z","title":"Li, Kolmogorov-arnold networks are radial basis function networks, arXiv preprint arXiv:2405.06721 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20378","last_updated":"2026-07-22T17:08:29Z","snapshot_observed_at":"2026-08-18T09:15:03.000910Z","submitted_at":"2026-07-22T17:08:29Z","title":"PG-KINN: A Physics-Informed Petrov-Galerkin Kolmogorov-Arnold Network for Solving Forward and Inverse PDEs","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T10:04:22.789479Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2607.20378"},"observation_digest":"sha256:cb42f7e8153ad85d4cd90f2dbfbb3fd719baabde386cd9fb40e73c703b8ce6bd","observation_id":"b8b1edd3-ab08-495b-932a-a7582dd874b4","resolution":{"observed_at":"2026-08-01T10:04:22.789479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06721","snapshot_observed_at":"2026-07-31T04:58:17.015613Z","title":"Li, Kolmogorov-arnold networks are radial ba- sis function networks,https://github.com/ZiyaoLi/ fast-kan(2024), arXiv:2405.06721 [cs.LG]","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24960","last_updated":"2026-07-27T18:08:33Z","snapshot_observed_at":"2026-08-11T02:54:17.708091Z","submitted_at":"2026-07-27T18:08:33Z","title":"Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms","version":1},"reference_index":110,"source":"pdf_text","source_observed_at":"2026-07-31T04:58:17.015613Z"},"links":{"cited_paper":"/paper/2405.06721","citing_paper":"/paper/2607.24960"},"observation_digest":"sha256:ffb2ae306d8842a3dc647d995caa5d56e63679d6cfecebbbdb2ee19dad9c7665","observation_id":"378bf2fc-96ed-477d-a097-012b464f9490","resolution":{"observed_at":"2026-07-31T04:58:17.015613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2405.06721/citation-record","integrity":"/paper/2405.06721/integrity","json":"/paper/2405.06721/citation-record.json","paper":"/paper/2405.06721"},"outbound":[],"paper":{"arxiv_id":"2405.06721","last_updated":"2024-05-10T06:03:45Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T13:53:50.462759Z","submitted_at":"2024-05-10T06:03:45Z","title":"Kolmogorov-Arnold Networks are Radial Basis Function Networks"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 43 inbound Pith citation observations for arXiv:2405.06721."}