{"as_of":"2026-08-08T23:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fdd0177645c5176c8782b8673f83383e103780f4167e9f125d74895b78978b7e","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":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":17,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T18:57:19.960325Z","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":"2026-06-30T18:14:59.245450Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":"2409.10594","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-06-30T18:14:59.245450Z","title":"Kolmogorov-arnold transformer","venue":null,"work_id":"3b9f753e-3b2a-47a5-87de-be653d0d1bf2","year":2024},"citing_paper":{"arxiv_id":"2405.02068","last_updated":"2026-04-04T15:54:36Z","snapshot_observed_at":"2026-07-06T18:09:21.647337Z","submitted_at":"2024-05-03T13:00:22Z","title":"Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-24T01:20:02.059096Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2405.02068"},"observation_digest":"sha256:608d72db842d619513f9453b9f82c73cef7534f728cdf528414dfcfb727b86ab","observation_id":"dff9daac-5571-40be-99af-39dfc5b7fd42","resolution":{"observed_at":"2026-05-24T01:23:42.222812Z","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":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":"2409.10594","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-06-30T18:14:59.245450Z","title":"Kolmogorov-arnold transformer","venue":null,"work_id":"3b9f753e-3b2a-47a5-87de-be653d0d1bf2","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":29,"source":"pdf_text","source_observed_at":"2026-05-23T19:55:26.613144Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2410.03801"},"observation_digest":"sha256:8033ed18e36121fb99a8cdcce32d1f76b37986630fdc338bfaac68579e10419a","observation_id":"0301b34f-af81-4273-8587-c96a02c29160","resolution":{"observed_at":"2026-05-23T19:55:47.285921Z","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":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-08-08T17:06:10.358397Z","title":null,"venue":null,"work_id":null,"year":1975},"citing_paper":{"arxiv_id":"2502.06018","last_updated":"2026-05-24T16:33:35Z","snapshot_observed_at":"2026-08-08T16:57:59.773148Z","submitted_at":"2025-02-09T20:21:43Z","title":"Kolmogorov-Arnold Fourier Networks","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T17:06:10.358397Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2502.06018"},"observation_digest":"sha256:31c0c13fae3389ba11b75ffda6a9793ba945d29773a2a5806ecb5ea16f8f19ae","observation_id":"e8bc1c2e-b938-45a2-8c4d-b96022664b7e","resolution":{"observed_at":"2026-08-08T17:06:10.358397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-08-08T18:57:19.960325Z","title":"Kolmogorov-arnold transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07812","last_updated":"2025-02-08T12:24:49Z","snapshot_observed_at":"2026-08-08T18:50:47.856851Z","submitted_at":"2025-02-08T12:24:49Z","title":"Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T18:57:19.960325Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2502.07812"},"observation_digest":"sha256:dbb79194bb4e3333f19b3058481c9c469cd74f1bd398b5497d458bb5ecd49feb","observation_id":"8351766b-3aaa-467a-803c-13218431ac35","resolution":{"observed_at":"2026-08-08T18:57:19.960325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-08-07T14:01:02.734895Z","title":"Kolmogorov-arnold transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20176","last_updated":"2025-05-26T16:16:44Z","snapshot_observed_at":"2026-08-08T08:51:07.374382Z","submitted_at":"2025-05-26T16:16:44Z","title":"\"KAN you hear me?\" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:02.734895Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2505.20176"},"observation_digest":"sha256:c8179d68e458a7f599b7e25456c062e81580b1da90c3343f9c397c8c130137a4","observation_id":"e84b5cb6-f491-41c7-9734-9627aaa42bbe","resolution":{"observed_at":"2026-08-07T14:01:02.734895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-08-07T05:37:57.815243Z","title":"and Wang, X","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07549","last_updated":"2025-06-09T08:38:26Z","snapshot_observed_at":"2026-08-08T00:03:39.202812Z","submitted_at":"2025-06-09T08:38:26Z","title":"Improving Memory Efficiency for Training KANs via Meta Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:37:57.815243Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2506.07549"},"observation_digest":"sha256:ca3666120369a7b48906d9a06528fbc782dfc1f72ac74b4ea385eda5bfb8f68b","observation_id":"fa65dc9d-6080-41f3-9282-417da9ceac2f","resolution":{"observed_at":"2026-08-07T05:37:57.815243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-08-07T00:22:26.574752Z","title":"Kolmogorov-arnold transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14153","last_updated":"2025-06-17T03:30:58Z","snapshot_observed_at":"2026-08-07T05:00:24.532348Z","submitted_at":"2025-06-17T03:30:58Z","title":"Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:26.574752Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2506.14153"},"observation_digest":"sha256:158ec94553ec3f6cc71601b245883e5126e5ea255d8641e3d6f978f677faedc5","observation_id":"611f1f06-d719-412f-bd51-18cec8ea70ee","resolution":{"observed_at":"2026-08-07T00:22:26.574752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-08-05T23:36:22.212077Z","title":"arXiv preprint arXiv:2409.10594 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.05111","last_updated":"2025-08-07T07:44:27Z","snapshot_observed_at":"2026-08-05T23:36:15.771937Z","submitted_at":"2025-08-07T07:44:27Z","title":"Toroidal area-preserving parameterizations of genus-one closed surfaces","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T23:36:22.212077Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2508.05111"},"observation_digest":"sha256:cd81fe8852a643fb41a177e5c1abcaa0a3742fd665035a8eb6e1fa0e0558fcaa","observation_id":"f33fa1d6-b7ea-4d44-8a50-c04fd07318e7","resolution":{"observed_at":"2026-08-05T23:36:22.212077Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-08-05T12:41:28.151523Z","title":"Kolmogorov-Arnold transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.01336","last_updated":"2025-09-01T10:18:14Z","snapshot_observed_at":"2026-08-08T15:32:09.738068Z","submitted_at":"2025-09-01T10:18:14Z","title":"The AudioMOS Challenge 2025","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T12:41:28.151523Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2509.01336"},"observation_digest":"sha256:b171d17cbf9b915d246be5035c3c8ad5c3809f018dd1f923bbf6af3378766d80","observation_id":"68362bec-02a2-44b1-b7d7-fc29fbe516ec","resolution":{"observed_at":"2026-08-05T12:41:28.151523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":"2409.10594","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-06-30T18:14:59.245450Z","title":"Kolmogorov-arnold transformer","venue":null,"work_id":"3b9f753e-3b2a-47a5-87de-be653d0d1bf2","year":2024},"citing_paper":{"arxiv_id":"2509.23056","last_updated":"2026-05-13T09:11:53Z","snapshot_observed_at":"2026-07-06T22:30:55.313733Z","submitted_at":"2025-09-27T02:28:22Z","title":"FMC-DETR: Frequency-Decoupled Multi-Domain Coordination for Aerial-View Object Detection","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-18T13:15:23.723890Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2509.23056"},"observation_digest":"sha256:e7798be7dcd9e28a24865de330195277b31982a2703d02499df18502747a69b9","observation_id":"89cc0d18-269a-4e5a-82c6-4a041f732805","resolution":{"observed_at":"2026-05-18T13:16:24.161233Z","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":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":"2409.10594","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-06-30T18:14:59.245450Z","title":"Kolmogorov-arnold transformer","venue":null,"work_id":"3b9f753e-3b2a-47a5-87de-be653d0d1bf2","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":143,"source":"pdf_text","source_observed_at":"2026-05-18T03:29:15.570760Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2510.25781"},"observation_digest":"sha256:3a926449ddc112d76afb4c61a24f0abd80f4968b2ba1aa3ef8fb2e924c0f8c50","observation_id":"9f5dafa7-1ad9-483e-a9b7-e295aa91d6cd","resolution":{"observed_at":"2026-05-18T03:30:50.909146Z","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":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":"2409.10594","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-06-30T18:14:59.245450Z","title":"Kolmogorov-arnold transformer","venue":null,"work_id":"3b9f753e-3b2a-47a5-87de-be653d0d1bf2","year":2024},"citing_paper":{"arxiv_id":"2604.10858","last_updated":"2026-04-12T23:48:05Z","snapshot_observed_at":"2026-07-06T22:59:23.126963Z","submitted_at":"2026-04-12T23:48:05Z","title":"Tensor-based Multi-layer Decoupling","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T15:02:36.984053Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2604.10858"},"observation_digest":"sha256:9fef307c8559680d721afd3ca836ee49da8d3fec995906d12586c2c6e9dd2b48","observation_id":"dd0449f1-0b7c-460d-af52-782392563173","resolution":{"observed_at":"2026-05-11T11:16:09.607925Z","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":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":"2409.10594","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-06-30T18:14:59.245450Z","title":"Kolmogorov-arnold transformer","venue":null,"work_id":"3b9f753e-3b2a-47a5-87de-be653d0d1bf2","year":2024},"citing_paper":{"arxiv_id":"2604.15654","last_updated":"2026-04-17T03:13:56Z","snapshot_observed_at":"2026-08-03T11:32:17.204742Z","submitted_at":"2026-04-17T03:13:56Z","title":"From Zero to Detail: A Progressive Spectral Decoupling Paradigm for UHD Image Restoration with New Benchmark","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-05-10T09:26:09.420365Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2604.15654"},"observation_digest":"sha256:84de22a8c2ff0ec4c34ccf2ceadae99edbba82b9a2011930639bbb4a7ca7bc84","observation_id":"316aab2f-aaf7-4b80-91a4-b3a1d7f5d820","resolution":{"observed_at":"2026-05-10T09:28:38.724987Z","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":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":"2409.10594","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-06-30T18:14:59.245450Z","title":"Kolmogorov-arnold transformer","venue":null,"work_id":"3b9f753e-3b2a-47a5-87de-be653d0d1bf2","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":11,"source":"pdf_text","source_observed_at":"2026-05-08T18:55:16.460190Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2605.02190"},"observation_digest":"sha256:b33dc438e286d3bb3779b24fc9230b03e35cd14f31ea6de896f1046d51d86d10","observation_id":"ecc18185-f7a3-44f7-8114-5d96c6c06f4d","resolution":{"observed_at":"2026-05-09T06:05:36.391058Z","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":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":"2409.10594","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-06-30T18:14:59.245450Z","title":"Kolmogorov-arnold transformer","venue":null,"work_id":"3b9f753e-3b2a-47a5-87de-be653d0d1bf2","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":54,"source":"pdf_text","source_observed_at":"2026-05-20T10:36:27.993163Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2605.19031"},"observation_digest":"sha256:710286d7e66d6cefe134aa91f2c758a55eb6dfad5bab93f81e1be95bea31360c","observation_id":"6c197517-827a-48b8-8440-32e3ab92a3d4","resolution":{"observed_at":"2026-05-20T10:38:12.441416Z","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":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":"2409.10594","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-06-30T18:14:59.245450Z","title":"Kolmogorov-arnold transformer","venue":null,"work_id":"3b9f753e-3b2a-47a5-87de-be653d0d1bf2","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":54,"source":"pdf_text","source_observed_at":"2026-06-30T18:14:45.068438Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2605.19031"},"observation_digest":"sha256:6013b0f87c214122b86ef30374a0eeb8ef869dd5c67ef5142ef729dc1713bed0","observation_id":"7a4aa413-90c5-4ce0-bcf6-4d796dd46299","resolution":{"observed_at":"2026-06-30T18:14:59.246778Z","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":"2409.10594","last_updated":"2024-09-16T17:54:51Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.10594","snapshot_observed_at":"2026-08-01T23:09:34.165565Z","title":"and Wang, X","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15525","last_updated":"2026-07-17T00:22:23Z","snapshot_observed_at":"2026-08-05T20:09:17.809893Z","submitted_at":"2026-07-17T00:22:23Z","title":"Kolmogorov--Arnold Networks for Small Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T23:09:34.165565Z"},"links":{"cited_paper":"/paper/2409.10594","citing_paper":"/paper/2607.15525"},"observation_digest":"sha256:60a99543f3ac9fae9fb44debf3001fd81b94ce90eacb81aa68f4a6f99b8ac178","observation_id":"63f74d80-98fa-43a0-8ad3-e1d3112c01cd","resolution":{"observed_at":"2026-08-01T23:09:34.165565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.10594/citation-record","integrity":"/paper/2409.10594/integrity","json":"/paper/2409.10594/citation-record.json","paper":"/paper/2409.10594"},"outbound":[],"paper":{"arxiv_id":"2409.10594","last_updated":"2024-09-16T17:54:51Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T17:54:51Z","title":"Kolmogorov-Arnold Transformer"},"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 17 inbound Pith citation observations for arXiv:2409.10594."}