{"as_of":"2026-08-24T04:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:04fd899f9c27e82dfbfe5853a4820ceefbde2b2fad295f14d308a0e5dcead70c","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":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":34,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T10:14:20.405161Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":37,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","year":2024},"citing_paper":{"arxiv_id":"2410.03801","last_updated":"2026-05-04T08:31:56Z","snapshot_observed_at":"2026-07-06T19:28:08.374354Z","submitted_at":"2024-10-04T08:14:24Z","title":"P1-KAN: an effective Kolmogorov-Arnold network with application to hydraulic valley optimization","version":5},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-23T19:55:26.613144Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2410.03801"},"observation_digest":"sha256:167229410b39ca648d4388fdf27129a2d9b755663da08b16180b8b6dfe34e92a","observation_id":"4a58d94c-c987-4217-a949-f76c1f20eb79","resolution":{"observed_at":"2026-05-23T19:55:47.280241Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","year":2024},"citing_paper":{"arxiv_id":"2410.04435","last_updated":"2026-05-13T08:15:37Z","snapshot_observed_at":"2026-08-15T03:35:58.005887Z","submitted_at":"2024-10-06T10:11:57Z","title":"QKAN: quantum Kolmogorov-Arnold networks with applications in machine learning and multivariate state preparation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-23T20:14:02.080356Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2410.04435"},"observation_digest":"sha256:9584093b2289646d6bcdda4e9fcc13d4779d6aee3254a1983b3e2b223d7a8ab8","observation_id":"cf1eb02a-e34f-45f3-aef5-80e9620260e1","resolution":{"observed_at":"2026-05-23T20:15:48.345449Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-12T11:26:24.316124Z","title":"D., Tepsich, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.18224","last_updated":"2024-11-28T10:00:33Z","snapshot_observed_at":"2026-08-21T19:04:15.757873Z","submitted_at":"2024-11-27T10:59:28Z","title":"KANs for Computer Vision: An Experimental Study","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T11:26:24.316124Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2411.18224"},"observation_digest":"sha256:51a1989e5571c27abd57280cde2f92c2f806154971fd00150c03cd79ad1f1c0a","observation_id":"2b18a44e-639e-4a97-a9e1-3ab8feb21fa7","resolution":{"observed_at":"2026-08-12T11:26:24.316124Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-12T04:38:33.564920Z","title":"Convolutional Kolmogorov-Arnold Networks[J]","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.01224","last_updated":"2024-12-02T07:41:16Z","snapshot_observed_at":"2026-08-14T14:12:33.179693Z","submitted_at":"2024-12-02T07:41:16Z","title":"Option Pricing with Convolutional Kolmogorov-Arnold Networks","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-12T04:38:33.564920Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2412.01224"},"observation_digest":"sha256:48241dd08c4e4496faa5a0b2b2b85ad01475102a38beff30c8f85397c66992e0","observation_id":"be335146-bc6c-42cf-b56e-ab3863360c0a","resolution":{"observed_at":"2026-08-12T04:38:33.564920Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-10T20:55:22.868180Z","title":"Convolutional kolmogorov-arnold 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":62,"source":"pdf_text","source_observed_at":"2026-08-10T20:55:22.868180Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2501.07032"},"observation_digest":"sha256:1b6daecf8f7eaa3a4a4b8364a39b2a57ef57193b724c338354f66ba0b5fc5f79","observation_id":"15239ac2-c3f7-482b-831a-2f284b0ad4ed","resolution":{"observed_at":"2026-08-10T20:55:22.868180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-10T20:12:17.205136Z","title":"D., Tepsich, A","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.09283","last_updated":"2025-01-16T04:12:05Z","snapshot_observed_at":"2026-08-16T17:52:53.212192Z","submitted_at":"2025-01-16T04:12:05Z","title":"Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-10T20:12:17.205136Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2501.09283"},"observation_digest":"sha256:81111ed2796e66fe8ee0a263cede93ad813d55ad4766dc11c39196cff4765594","observation_id":"f0f2f347-074a-4b0e-9df3-28c760443daa","resolution":{"observed_at":"2026-08-10T20:12:17.205136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-10T14:01:08.233474Z","title":"Convolu- tional Kolmogorov-Arnold networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15757","last_updated":"2025-05-31T18:13:49Z","snapshot_observed_at":"2026-08-19T00:09:00.862449Z","submitted_at":"2025-01-27T04:00:05Z","title":"Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T14:01:08.233474Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2501.15757"},"observation_digest":"sha256:9c331130386619aa5f94edd84a08ece4fea0168454cf4c6ee8ccffa6fe02d60b","observation_id":"cd08cb61-5c3c-423d-9d74-1732d99e4a6a","resolution":{"observed_at":"2026-08-10T14:01:08.233474Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-08T16:37:05.839831Z","title":"Convolu- tional Kolmogorov-Arnold networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06153","last_updated":"2025-02-14T01:43:07Z","snapshot_observed_at":"2026-08-14T13:41:37.083063Z","submitted_at":"2025-02-10T04:57:07Z","title":"Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T16:37:05.839831Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2502.06153"},"observation_digest":"sha256:c3583004f0a8d40c06d6b58def5c43898fd1f2490408c0a2f2c0d4b5aac4b5bf","observation_id":"b11dcedd-7654-4e39-80d6-95195c278698","resolution":{"observed_at":"2026-08-08T16:37:05.839831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-08T16:44:22.822416Z","title":"Convolutional kolmogorov-arnold 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":1,"source":"pdf_text","source_observed_at":"2026-08-08T16:44:22.822416Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2502.06910"},"observation_digest":"sha256:7634a6db18472dbe10471035b5b62ed03c60faffc4d2f45a1c3b165af7bc9cea","observation_id":"ee1e3397-4f95-435e-b32c-16802881461d","resolution":{"observed_at":"2026-08-08T16:44:22.822416Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-08T13:37:10.438430Z","title":"Bozorgasl, Z","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":3,"source":"pdf_text","source_observed_at":"2026-08-08T13:37:10.438430Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2502.07176"},"observation_digest":"sha256:7f84d009d93fc380ffb302c1872cb4f61a2ca35d32febefd1d1b5727462778f9","observation_id":"7f8efd12-8f41-4c36-84df-b7e2ec4aaac6","resolution":{"observed_at":"2026-08-08T13:37:10.438430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-16T10:14:20.405161Z","title":"Convolutional Kolmogorov -Arnold networks ,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.18833","last_updated":"2025-04-26T07:40:28Z","snapshot_observed_at":"2026-08-18T08:55:41.147324Z","submitted_at":"2025-04-26T07:40:28Z","title":"FiberKAN: Kolmogorov-Arnold Networks for Nonlinear Fiber Optics","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T10:14:20.405161Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2504.18833"},"observation_digest":"sha256:b3ea46569796c43d52fb5a876746353496c51fa8596c6f218b6a13e25f2577af","observation_id":"e57cdaee-b318-4a31-b501-ab16d58c619d","resolution":{"observed_at":"2026-08-16T10:14:20.405161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-07T05:37:57.663779Z","title":"D., Tepsich, A","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":2022,"source":"pdf_text","source_observed_at":"2026-08-07T05:37:57.663779Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2506.07549"},"observation_digest":"sha256:4b471d7c1322e0228f17c6f11eb80b3f8bf8bc005af301bf7b373ca067c622cb","observation_id":"3fc60028-e5e4-4e49-a828-79edc49b8e78","resolution":{"observed_at":"2026-08-07T05:37:57.663779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","year":2024},"citing_paper":{"arxiv_id":"2507.05193","last_updated":"2026-05-14T09:15:28Z","snapshot_observed_at":"2026-08-14T05:29:51.702695Z","submitted_at":"2025-07-07T16:53:22Z","title":"RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-19T05:57:09.748104Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2507.05193"},"observation_digest":"sha256:42bc23ff0b08264536568c72074384474aec49c1e7ea0911f465b7dd3c9ebd94","observation_id":"0d85c680-695c-4f3e-83bd-ebd2ab2be467","resolution":{"observed_at":"2026-05-19T06:02:08.000273Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T23:36:22.090647Z","title":"arXiv preprint arXiv:2406.13155 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.05111","last_updated":"2025-08-07T07:44:27Z","snapshot_observed_at":"2026-08-13T17:56:44.053849Z","submitted_at":"2025-08-07T07:44:27Z","title":"Toroidal area-preserving parameterizations of genus-one closed surfaces","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T23:36:22.090647Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2508.05111"},"observation_digest":"sha256:9ef5e3dbd3c4b8a043a76cd486f21def88e213710e98b3744426ab9da3ef49cc","observation_id":"5bd77f30-a7c4-4b60-a7f3-2800587d3590","resolution":{"observed_at":"2026-08-05T23:36:22.090647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","year":2024},"citing_paper":{"arxiv_id":"2509.16750","last_updated":"2026-04-09T14:56:23Z","snapshot_observed_at":"2026-08-16T04:58:36.728647Z","submitted_at":"2025-09-20T17:21:58Z","title":"Interpretable Clinical Classification with Kolmogorov-Arnold Networks","version":3},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-05-18T15:03:46.578518Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2509.16750"},"observation_digest":"sha256:fe2575aaab4b25c10a8e4cb954ea19d472cd74a164465f176bfd28b6f8369e99","observation_id":"127eae28-9b59-41e6-a6f3-281a2504c6cd","resolution":{"observed_at":"2026-05-18T15:06:32.179183Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-04T15:23:55.313809Z","title":"Convolutional kolmogorov-arnold networks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.19830","last_updated":"2026-07-30T07:35:07Z","snapshot_observed_at":"2026-08-16T03:13:16.591177Z","submitted_at":"2025-09-24T07:22:03Z","title":"On the Rate of Convergence of Kolmogorov-Arnold Network Regression Estimators","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-04T15:23:55.313809Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2509.19830"},"observation_digest":"sha256:744c6125a2cc547816f9bab3d8d08c424263bbcc6dcede53df83eaeddcb6c632","observation_id":"bc2b781a-9641-452b-abad-41e6fae08d34","resolution":{"observed_at":"2026-08-04T15:23:55.313809Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","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":173,"source":"pdf_text","source_observed_at":"2026-05-18T03:29:15.570760Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2510.25781"},"observation_digest":"sha256:d47b014b2b41762f38ed9522bc96d14671d0ea05b5de7f1788043007cc73ac06","observation_id":"caece66f-31e1-46eb-a432-6e52a65ad021","resolution":{"observed_at":"2026-05-18T03:30:50.877127Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","year":2024},"citing_paper":{"arxiv_id":"2511.05477","last_updated":"2026-04-14T09:51:40Z","snapshot_observed_at":"2026-08-12T09:43:19.924164Z","submitted_at":"2025-11-07T18:39:09Z","title":"GroupKAN: Efficient Kolmogorov-Arnold Networks via Grouped Spline Modeling","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-17T23:30:19.949106Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2511.05477"},"observation_digest":"sha256:ea3951fe772e4e3aba7f7d9ccc3e2bb50cf5584d2e6099c7dfde5b2013f89a5b","observation_id":"70185073-0126-4e20-b35f-1dc21b79624d","resolution":{"observed_at":"2026-05-17T23:30:29.252870Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-03T21:17:39.560813Z","title":"Convo- lutional Kolmogorov-Arnold Networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.00055","last_updated":"2025-11-20T08:55:01Z","snapshot_observed_at":"2026-08-20T00:31:56.183767Z","submitted_at":"2025-11-20T08:55:01Z","title":"KAN-SAs: Efficient Acceleration of Kolmogorov-Arnold Networks on Systolic Arrays","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T21:17:39.560813Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2512.00055"},"observation_digest":"sha256:957e9275a8caa2ea0972098cec25c022296e11ed8494891f6ddf46ff2f1e78d7","observation_id":"6f4ca73b-8fe7-4cb4-872e-93001d927827","resolution":{"observed_at":"2026-08-03T21:17:39.560813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-03T16:38:07.468345Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.12850","last_updated":"2026-06-16T20:05:33Z","snapshot_observed_at":"2026-08-18T16:52:11.673069Z","submitted_at":"2025-12-14T21:29:10Z","title":"KANEL\\'E: Kolmogorov-Arnold Networks for Efficient LUT-based Evaluation","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T16:38:07.468345Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2512.12850"},"observation_digest":"sha256:342eab46e20f2820f856cb68aeb578ec84085ba345b506ea22c401927b5dca61","observation_id":"871f97b5-a666-422c-910e-c802b26973ce","resolution":{"observed_at":"2026-08-03T16:38:07.468345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","year":2024},"citing_paper":{"arxiv_id":"2601.22409","last_updated":"2026-05-12T23:48:38Z","snapshot_observed_at":"2026-08-13T07:26:50.173990Z","submitted_at":"2026-01-29T23:43:26Z","title":"Optimization, Generalization and Differential Privacy Bounds for Gradient Descent on Kolmogorov-Arnold Networks","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-16T09:34:00.409455Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2601.22409"},"observation_digest":"sha256:91ab0b4b2ec1e9a0b7ea03125eab57816137b2d9ebdd53c1891eccbdf2ecb43b","observation_id":"ed4875cf-f11a-4e11-a7dc-adecc2694444","resolution":{"observed_at":"2026-05-16T09:37:41.898196Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-03T04:08:23.994287Z","title":"Convolu- tional kolmogorov-arnold networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.05977","last_updated":"2026-06-23T22:02:43Z","snapshot_observed_at":"2026-08-07T11:19:17.094190Z","submitted_at":"2026-02-05T18:25:40Z","title":"Clifford Kolmogorov-Arnold Networks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T04:08:23.994287Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2602.05977"},"observation_digest":"sha256:596c94c93cb433457813e499883054040c9bba2b92dbfe4d153fb6880c3668fe","observation_id":"581fc56e-0f2e-4e18-932a-8af782dd8c1a","resolution":{"observed_at":"2026-08-03T04:08:23.994287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-04T05:51:39.658922Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.15307","last_updated":"2026-03-16T14:04:53Z","snapshot_observed_at":"2026-08-16T03:11:56.672804Z","submitted_at":"2026-03-16T14:04:53Z","title":"A Kolmogorov-Arnold Surrogate Model for Chemical Equilibria: Application to Solid Solutions","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T05:51:39.658922Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2603.15307"},"observation_digest":"sha256:74369165dca341fcc8e078738bda2ce37c4308bdb0eab41c0d66ff5ae93f6d4a","observation_id":"0f07fd05-6715-435c-a1e8-c491e66d886a","resolution":{"observed_at":"2026-08-04T05:51:39.658922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","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":30,"source":"pdf_text","source_observed_at":"2026-05-10T07:13:10.140500Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2604.16842"},"observation_digest":"sha256:040175765126811c7f8f5d34e21bc29cbe2ba49424b614f5cee3db752cc49bbd","observation_id":"f3b16770-54b0-426f-a471-7687dff0d2a8","resolution":{"observed_at":"2026-05-10T09:23:37.348273Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","year":2024},"citing_paper":{"arxiv_id":"2604.23320","last_updated":"2026-04-25T14:14:41Z","snapshot_observed_at":"2026-08-11T00:39:19.064228Z","submitted_at":"2026-04-25T14:14:41Z","title":"KAConvNet: Kolmogorov-Arnold Convolutional Networks for Vision Recognition","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-08T08:31:35.014294Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2604.23320"},"observation_digest":"sha256:6bca625a68d073b89afd488831e4faa8daa94833d687ee2250470f7985b14dfb","observation_id":"b66fc5b7-4214-4174-bd88-fbb7ea10a710","resolution":{"observed_at":"2026-05-11T20:36:09.165994Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","year":2024},"citing_paper":{"arxiv_id":"2605.01459","last_updated":"2026-05-08T01:19:01Z","snapshot_observed_at":"2026-08-13T07:27:34.493706Z","submitted_at":"2026-05-02T14:19:19Z","title":"SRGAN-CKAN: Expressive Super-Resolution with Nonlinear Functional Operators under Minimal Resources","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-09T15:02:47.141025Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2605.01459"},"observation_digest":"sha256:f0b8678dad420f15b8f19e06c30555fa5e79c2eb4ce83f04e7dae47809fa9c8a","observation_id":"0b33000a-4881-4ece-8541-9367e7939a00","resolution":{"observed_at":"2026-05-11T16:46:16.582813Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","year":2024},"citing_paper":{"arxiv_id":"2605.01459","last_updated":"2026-05-08T01:19:01Z","snapshot_observed_at":"2026-08-13T07:27:34.493706Z","submitted_at":"2026-05-02T14:19:19Z","title":"SRGAN-CKAN: Expressive Super-Resolution with Nonlinear Functional Operators under Minimal Resources","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-11T01:00:54.651770Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2605.01459"},"observation_digest":"sha256:d14f991fb9670c9a5a990b932ec2014bec64d2d28f55910e0006d14bcb7c9370","observation_id":"772b608f-e25c-448a-b4fb-2f6f3db254ba","resolution":{"observed_at":"2026-05-11T04:50:58.202238Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","year":2024},"citing_paper":{"arxiv_id":"2605.09572","last_updated":"2026-05-10T14:37:02Z","snapshot_observed_at":"2026-08-13T07:27:37.326263Z","submitted_at":"2026-05-10T14:37:02Z","title":"KAN Text to Vision? The Exploration of Kolmogorov-Arnold Networks for Multi-Scale Sequence-Based Pose Animation from Sign Language Notation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-12T03:47:58.527417Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2605.09572"},"observation_digest":"sha256:bacac770ec270527aa33fbd294bd1ab90363dc1790bdca72b1863dca0eaf87bd","observation_id":"153f70b1-e59d-4eb4-b1bb-f25d47b5faf4","resolution":{"observed_at":"2026-05-12T06:56:29.213855Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","year":2024},"citing_paper":{"arxiv_id":"2605.10046","last_updated":"2026-05-11T06:16:02Z","snapshot_observed_at":"2026-08-17T14:43:41.367381Z","submitted_at":"2026-05-11T06:16:02Z","title":"PixelFlowCast: Latent-Free Precipitation Nowcasting via Pixel Mean Flows","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-12T02:52:15.740453Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2605.10046"},"observation_digest":"sha256:e337bdd4495bd23857ab110dda386b9fbf9cef2271d39bf46c83d4c33528880c","observation_id":"123964d6-353a-42f4-b37f-5d0dd4a4733e","resolution":{"observed_at":"2026-05-12T07:26:30.895725Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","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":10,"source":"pdf_text","source_observed_at":"2026-05-20T10:36:27.993163Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2605.19031"},"observation_digest":"sha256:56dae5a91753abd9ac2232ec615fd81e502b36764f44a45dbbb75d5b681b7bb2","observation_id":"942c52f5-03bc-4b07-8ef4-6c3a5bdb04d7","resolution":{"observed_at":"2026-05-20T10:38:12.438538Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","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":10,"source":"pdf_text","source_observed_at":"2026-06-30T18:14:45.068438Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2605.19031"},"observation_digest":"sha256:47a122ee5e354bdf141d87ee5ec197243f0920f7504ef8ef799cb33be6531c31","observation_id":"1fdbd896-bda5-4e71-b753-466cb4492a93","resolution":{"observed_at":"2026-06-30T18:14:59.274268Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","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":4,"source":"pdf_text","source_observed_at":"2026-06-26T00:35:36.825962Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2606.24371"},"observation_digest":"sha256:1548e312b28597e1c5d11a81d0fe8d8783c1af7db45de158dc9c84ae5a648a5a","observation_id":"ef4a1845-004b-4bb5-b680-4862f65b4330","resolution":{"observed_at":"2026-07-04T16:29:57.479553Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-07-12T04:15:55.665065Z","title":"Convolutional Kolmogorov–Arnold Networks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03187","last_updated":"2026-07-03T10:46:32Z","snapshot_observed_at":"2026-08-14T13:40:22.003856Z","submitted_at":"2026-07-03T10:46:32Z","title":"Quantum Kolmogorov--Arnold representation theorem for continuous unitary-valued maps","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-12T04:15:55.665065Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2607.03187"},"observation_digest":"sha256:e0973ebdaa1c787fecc8c431bc499027ad909b249d73a5f28dec11f2b973e725","observation_id":"70c66817-a591-477a-84e9-a5fb4367ef49","resolution":{"observed_at":"2026-07-12T04:15:55.665065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold Networks","version":3},"cited_work":{"arxiv_id":"2406.13155","doi":"10.48550/arxiv.2406.13155","metadata_source":"pith","pith_arxiv_id":"2406.13155","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Convolutional kolmogorov- arnold networks","venue":"cs.CV","work_id":"e7be91f8-d060-4546-ac48-c56acec2871a","year":2024},"citing_paper":{"arxiv_id":"2607.06959","last_updated":"2026-07-08T03:35:59Z","snapshot_observed_at":"2026-08-21T03:43:37.568091Z","submitted_at":"2026-07-08T03:35:59Z","title":"KAN-LSTM-Transformer Neural Networks, MFV and Cosmological Parameters","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-10T20:07:04.611414Z"},"links":{"cited_paper":"/paper/2406.13155","citing_paper":"/paper/2607.06959"},"observation_digest":"sha256:317864246c1a97a53b32c048c100b678fb5a970217ba14102784f657f895fdaa","observation_id":"a6a88d9f-4fa1-4b12-b135-068684033ae8","resolution":{"observed_at":"2026-07-10T20:07:33.255037Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.13155/citation-record","integrity":"/paper/2406.13155/integrity","json":"/paper/2406.13155/citation-record.json","paper":"/paper/2406.13155"},"outbound":[],"paper":{"arxiv_id":"2406.13155","last_updated":"2025-03-31T12:55:11Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T11:38:40.573177Z","submitted_at":"2024-06-19T02:09:44Z","title":"Convolutional Kolmogorov-Arnold 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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2406.13155."}