{"as_of":"2026-08-21T08:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1390e63badbe3bbb123fea74eea10820b31ec09c597cca5074d02d32d626b706","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T14:01:08.312277Z","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":"2026-07-04T16:29:57.463183Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.13550","last_updated":"2024-09-27T15:41:33Z","snapshot_observed_at":"2026-08-16T13:16:50.434108Z","submitted_at":"2024-09-20T14:49:21Z","title":"A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13550","snapshot_observed_at":"2026-08-10T14:01:08.312277Z","title":"A preliminary study on continual learning in computer vision using 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":30,"source":"pdf_text","source_observed_at":"2026-08-10T14:01:08.312277Z"},"links":{"cited_paper":"/paper/2409.13550","citing_paper":"/paper/2501.15757"},"observation_digest":"sha256:35877196ee9d385ad9d6704b9c599904642c813400be707c357e3df91791536f","observation_id":"fb952a64-072b-4bcd-b750-a19a4fe8593e","resolution":{"observed_at":"2026-08-10T14:01:08.312277Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13550","last_updated":"2024-09-27T15:41:33Z","snapshot_observed_at":"2026-08-16T13:16:50.434108Z","submitted_at":"2024-09-20T14:49:21Z","title":"A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13550","snapshot_observed_at":"2026-08-07T14:41:33.607671Z","title":"A preliminary study on continual learning in computer vision using kolmogorov-arnold networks.arXiv preprint arXiv:2409.13550,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.18131","last_updated":"2025-05-23T17:41:18Z","snapshot_observed_at":"2026-08-17T22:03:33.437662Z","submitted_at":"2025-05-23T17:41:18Z","title":"Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T14:41:33.607671Z"},"links":{"cited_paper":"/paper/2409.13550","citing_paper":"/paper/2505.18131"},"observation_digest":"sha256:a7c879450f7ff3d5d702fe1c373e6e0b51f44da332ea7f579c915483d206d7fe","observation_id":"2a64e3b3-00bd-47b0-b52c-47fe32df0232","resolution":{"observed_at":"2026-08-07T14:41:33.607671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13550","last_updated":"2024-09-27T15:41:33Z","snapshot_observed_at":"2026-08-16T13:16:50.434108Z","submitted_at":"2024-09-20T14:49:21Z","title":"A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks","version":2},"cited_work":{"arxiv_id":"2409.13550","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.13550","snapshot_observed_at":"2026-07-04T16:29:57.463183Z","title":"Cacciatore, V","venue":null,"work_id":"2e93d53a-9c0a-4464-97cb-29930094877e","year":2024},"citing_paper":{"arxiv_id":"2605.12306","last_updated":"2026-05-12T15:55:09Z","snapshot_observed_at":"2026-08-13T00:20:14.696811Z","submitted_at":"2026-05-12T15:55:09Z","title":"KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-13T07:14:30.034843Z"},"links":{"cited_paper":"/paper/2409.13550","citing_paper":"/paper/2605.12306"},"observation_digest":"sha256:6387ef99ed3d7c44cb784dd50924978b47c0fde96d9cb1860b14ede5d83d7b30","observation_id":"ffc75fc4-73be-4d28-b7c4-260549d4d198","resolution":{"observed_at":"2026-05-13T07:17:29.276501Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13550","last_updated":"2024-09-27T15:41:33Z","snapshot_observed_at":"2026-08-16T13:16:50.434108Z","submitted_at":"2024-09-20T14:49:21Z","title":"A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks","version":2},"cited_work":{"arxiv_id":"2409.13550","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.13550","snapshot_observed_at":"2026-07-04T16:29:57.463183Z","title":"Cacciatore, V","venue":null,"work_id":"2e93d53a-9c0a-4464-97cb-29930094877e","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":14,"source":"pdf_text","source_observed_at":"2026-06-26T00:35:36.825962Z"},"links":{"cited_paper":"/paper/2409.13550","citing_paper":"/paper/2606.24371"},"observation_digest":"sha256:fd05823dca6aed6029ae31afb80f775b562c67682c2397fb39425e8c37d0a2ad","observation_id":"3babd9b4-24b3-4b69-8074-aec15423dc05","resolution":{"observed_at":"2026-07-04T16:29:57.464614Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.13550/citation-record","integrity":"/paper/2409.13550/integrity","json":"/paper/2409.13550/citation-record.json","paper":"/paper/2409.13550"},"outbound":[],"paper":{"arxiv_id":"2409.13550","last_updated":"2024-09-27T15:41:33Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T13:16:50.434108Z","submitted_at":"2024-09-20T14:49:21Z","title":"A preliminary study on continual learning in computer vision using 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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.13550."}