{"as_of":"2026-08-08T16:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f24e68e3b4b80d2aefebd5b2a7f8ffee373c35d5b2d88ef7176f41aab63c7b96","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T16:32:36.441901Z","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":"2026-07-06T18:29:21.709395Z","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":"2026-07-06T02:11:23.670680Z","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:ccd8b26b7b98e05e24d4a75085643b3f84a8a80f9b611b5ab1b4253fad79afd7","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 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07869","last_updated":"2024-10-08T14:42:40Z","snapshot_observed_at":"2026-07-06T18:29:21.709395Z","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":"2026-08-07T08:29:53.256830Z","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:c26b16699052c123ef49596eea2791f8daf37dd85fd1f9a6efbed59a6b2ff682","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":"2026-07-06T18:29:21.709395Z","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":"sha256:28fc4ee3f04bfb373081eaf2941aa960b62f949f2541db319b344a4c643e7772","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 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07869","last_updated":"2024-10-08T14:42:40Z","snapshot_observed_at":"2026-07-06T18:29:21.709395Z","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":"2026-07-06T22:51:40.181565Z","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":"sha256:39e34aa87fbe7c7e6ebb5b2210a63aabac74e3c0dc25f0b4be8430b49c2391ff","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 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07869","last_updated":"2024-10-08T14:42:40Z","snapshot_observed_at":"2026-07-06T18:29:21.709395Z","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":"2026-07-13T13:39:35.980242Z","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":"sha256:953278e93ee15b4d315834e5c9951d3243adc975904c37ab0e92628cc875048a","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 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07869","last_updated":"2024-10-08T14:42:40Z","snapshot_observed_at":"2026-07-06T18:29:21.709395Z","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":"sha256:120e7480b12f0acbbbb4f92fe146eec73c7e6b48356a7c13166f42104b0b1257","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":"2026-07-06T18:29:21.709395Z","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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.07869."}