{"as_of":"2026-08-15T02:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:610a60da5451125333c603b3e7410cff7f7a5344a17d739d0567af16dc3c0b0f","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T14:33:07.569281Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-23T19:43:22.996024Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.07869","last_updated":"2024-10-08T14:42:40Z","snapshot_observed_at":"2026-08-12T23:44:57.716050Z","submitted_at":"2024-06-12T04:52:40Z","title":"Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification","version":2},"cited_work":{"arxiv_id":"2406.07869","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07869","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Unveiling the power of wavelets: A wavelet-based Kolmogorov-Arnold network for hyperspectral image classification","venue":null,"work_id":"059f983d-f122-4a46-b662-16c55adc7fb8","year":2024},"citing_paper":{"arxiv_id":"2410.04096","last_updated":"2026-05-27T13:27:42Z","snapshot_observed_at":"2026-08-12T22:30:12.249454Z","submitted_at":"2024-10-05T09:33:39Z","title":"Sinc Kolmogorov-Arnold network and its application for solving PDEs with singularities","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-23T19:42:53.470132Z"},"links":{"cited_paper":"/paper/2406.07869","citing_paper":"/paper/2410.04096"},"observation_digest":"sha256:9ee675fc537679d4be5225d418a131c7af5f84f12bf5812a345af2b323737068","observation_id":"872c419a-2986-4d57-a5e3-665bd04685ac","resolution":{"observed_at":"2026-05-23T19:43:23.000066Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07869","last_updated":"2024-10-08T14:42:40Z","snapshot_observed_at":"2026-08-12T23:44:57.716050Z","submitted_at":"2024-06-12T04:52:40Z","title":"Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07869","snapshot_observed_at":"2026-08-12T14:33:07.569281Z","title":"Unveiling the power of wavelets: A wavelet-based kolmogorov-arnold network for hyperspectral image classification.arXiv preprint arXiv:2406.07869, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.15111","last_updated":"2025-06-13T07:52:33Z","snapshot_observed_at":"2026-08-13T19:08:36.512128Z","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":58,"source":"pdf_text","source_observed_at":"2026-08-12T14:33:07.569281Z"},"links":{"cited_paper":"/paper/2406.07869","citing_paper":"/paper/2411.15111"},"observation_digest":"sha256:cabb8b7b82ad4181b7cead5d027bdee5d5bd1f75faf4e5808b9188b306401070","observation_id":"72bc634c-6fc8-4a04-ace9-18ae66c2700c","resolution":{"observed_at":"2026-08-12T14:33:07.569281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07869","last_updated":"2024-10-08T14:42:40Z","snapshot_observed_at":"2026-08-12T23:44:57.716050Z","submitted_at":"2024-06-12T04:52:40Z","title":"Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07869","snapshot_observed_at":"2026-08-10T20:55:22.809905Z","title":"Unveiling the power of wavelets: A wavelet-based kolmogorov-arnold network for hyperspectral image classification","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.07032","last_updated":"2025-02-11T06:47:56Z","snapshot_observed_at":"2026-08-10T20:47:19.328518Z","submitted_at":"2025-01-13T03:07:39Z","title":"PRKAN: Parameter-Reduced Kolmogorov-Arnold Networks","version":4},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T20:55:22.809905Z"},"links":{"cited_paper":"/paper/2406.07869","citing_paper":"/paper/2501.07032"},"observation_digest":"sha256:8b76c07c8dd93593ec624095786dedf161e828f2aa4240d13e36984b00655ee6","observation_id":"1c616980-7d73-448e-82ed-4c9ad2cb935c","resolution":{"observed_at":"2026-08-10T20:55:22.809905Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07869","last_updated":"2024-10-08T14:42:40Z","snapshot_observed_at":"2026-08-12T23:44:57.716050Z","submitted_at":"2024-06-12T04:52:40Z","title":"Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07869","snapshot_observed_at":"2026-08-04T16:32:36.441901Z","title":"Unveiling the power of wavelets: A wavelet-based kolmogorov-arnold network for hyperspectral image classification, 2024 b","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.14026","last_updated":"2026-07-06T11:24:08Z","snapshot_observed_at":"2026-08-14T03:39:08.506695Z","submitted_at":"2025-09-17T14:28:42Z","title":"Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-04T16:32:36.441901Z"},"links":{"cited_paper":"/paper/2406.07869","citing_paper":"/paper/2509.14026"},"observation_digest":"sha256:46a470c0fd5ce8aa5b012e08536c2f853e0a22cb799be8d18f854de8f9346e40","observation_id":"f6c522ea-5030-425f-8658-c8da2d1a1f55","resolution":{"observed_at":"2026-08-04T16:32:36.441901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07869","last_updated":"2024-10-08T14:42:40Z","snapshot_observed_at":"2026-08-12T23:44:57.716050Z","submitted_at":"2024-06-12T04:52:40Z","title":"Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification","version":2},"cited_work":{"arxiv_id":"2406.07869","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07869","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Unveiling the power of wavelets: A wavelet-based Kolmogorov-Arnold network for hyperspectral image classification","venue":null,"work_id":"059f983d-f122-4a46-b662-16c55adc7fb8","year":2024},"citing_paper":{"arxiv_id":"2510.25781","last_updated":"2026-05-07T06:10:04Z","snapshot_observed_at":"2026-07-06T22:34:23.736456Z","submitted_at":"2025-10-28T03:03:44Z","title":"A Practitioner's Guide to Kolmogorov-Arnold Networks","version":5},"reference_index":181,"source":"pdf_text","source_observed_at":"2026-05-18T03:29:15.570760Z"},"links":{"cited_paper":"/paper/2406.07869","citing_paper":"/paper/2510.25781"},"observation_digest":"sha256:9c892e19bbe1b74243b002b9bf603356a0ae16e024769656eec034f3935b0e96","observation_id":"f636e6f0-4108-43ca-a9fd-7cdc7ee6492d","resolution":{"observed_at":"2026-05-18T03:30:50.720134Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07869","last_updated":"2024-10-08T14:42:40Z","snapshot_observed_at":"2026-08-12T23:44:57.716050Z","submitted_at":"2024-06-12T04:52:40Z","title":"Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification","version":2},"cited_work":{"arxiv_id":"2406.07869","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07869","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Unveiling the power of wavelets: A wavelet-based Kolmogorov-Arnold network for hyperspectral image classification","venue":null,"work_id":"059f983d-f122-4a46-b662-16c55adc7fb8","year":2024},"citing_paper":{"arxiv_id":"2604.01903","last_updated":"2026-04-03T02:43:31Z","snapshot_observed_at":"2026-08-12T12:33:36.605530Z","submitted_at":"2026-04-02T11:17:20Z","title":"Light-ResKAN: A Parameter-Sharing Lightweight KAN with Gram Polynomials for Efficient SAR Image Recognition","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-13T22:21:10.021650Z"},"links":{"cited_paper":"/paper/2406.07869","citing_paper":"/paper/2604.01903"},"observation_digest":"sha256:d95ecf869dd1b4e7fac9f48526c7f3e9a0e033c53b913a80695f75272d568017","observation_id":"dbc580b5-f59e-4da4-aab6-61e227cb6860","resolution":{"observed_at":"2026-05-13T22:23:21.287047Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07869","last_updated":"2024-10-08T14:42:40Z","snapshot_observed_at":"2026-08-12T23:44:57.716050Z","submitted_at":"2024-06-12T04:52:40Z","title":"Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification","version":2},"cited_work":{"arxiv_id":"2406.07869","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07869","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Unveiling the power of wavelets: A wavelet-based Kolmogorov-Arnold network for hyperspectral image classification","venue":null,"work_id":"059f983d-f122-4a46-b662-16c55adc7fb8","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":42,"source":"pdf_text","source_observed_at":"2026-05-13T20:29:26.735003Z"},"links":{"cited_paper":"/paper/2406.07869","citing_paper":"/paper/2604.03345"},"observation_digest":"sha256:7b006915a7b3a62d867710315f5e30aedccacc0905f8920588f3b5ae8d700a42","observation_id":"62e2e658-b81b-4706-a3f7-0a47207183bd","resolution":{"observed_at":"2026-05-13T20:33:16.941479Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07869","last_updated":"2024-10-08T14:42:40Z","snapshot_observed_at":"2026-08-12T23:44:57.716050Z","submitted_at":"2024-06-12T04:52:40Z","title":"Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07869","snapshot_observed_at":"2026-08-02T09:24:29.973124Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18290","last_updated":"2026-07-27T04:07:50Z","snapshot_observed_at":"2026-08-08T05:30:02.174526Z","submitted_at":"2026-06-30T15:31:59Z","title":"SechKAN: Kolmogorov-Arnold Networks with Hyperbolic Secant Functions","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T09:24:29.973124Z"},"links":{"cited_paper":"/paper/2406.07869","citing_paper":"/paper/2607.18290"},"observation_digest":"sha256:9197b3dd7d8c9444b8892b52805be76e2be5795ea08a8e78caed6ab806dda1ff","observation_id":"0757e370-8214-4665-bba5-16f6595b772d","resolution":{"observed_at":"2026-08-02T09:24:29.973124Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.07869/citation-record","integrity":"/paper/2406.07869/integrity","json":"/paper/2406.07869/citation-record.json","paper":"/paper/2406.07869"},"outbound":[],"paper":{"arxiv_id":"2406.07869","last_updated":"2024-10-08T14:42:40Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T23:44:57.716050Z","submitted_at":"2024-06-12T04:52:40Z","title":"Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.07869."}