{"as_of":"2026-08-10T19:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ab5ca9c2c2cbea56e07295e67eceadd14df93009ac5de1b5feb68b90ddac4fc5","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":"2026-08-10T06:31:04.303077+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":"2026-08-08T16:44:22.834902Z","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":"2026-05-23T19:55:47.288165Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":"2406.02918","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"U-kan makes strong backbone for medical image segmentation and generation","venue":null,"work_id":"cf8177c8-aa28-4314-9ccc-145501ab4de2","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":16,"source":"pdf_text","source_observed_at":"2026-05-23T19:55:26.613144Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2410.03801"},"observation_digest":"sha256:c5fa6cc5fd4e84d57f0064397dc44922171643f69614f5e967e5e720c811cc6a","observation_id":"802ac5ba-13f6-422f-a710-47261326e884","resolution":{"observed_at":"2026-05-23T19:55:47.291446Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-08-08T16:37:05.784322Z","title":"U-KAN makes strong backbone for medical image segmentation and generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06153","last_updated":"2025-02-14T01:43:07Z","snapshot_observed_at":"2026-08-09T04:46:40.996804Z","submitted_at":"2025-02-10T04:57:07Z","title":"Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T16:37:05.784322Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2502.06153"},"observation_digest":"sha256:8a3f2647f8fa550e90a392b46260dd1d75466162ecd3532151c69376a083a10d","observation_id":"4089551f-6d93-4b2d-bafc-b46bb8589b90","resolution":{"observed_at":"2026-08-08T16:37:05.784322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-08-08T16:44:22.834902Z","title":"URL https://www.science","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.06910","last_updated":"2025-02-26T09:04:40Z","snapshot_observed_at":"2026-08-10T00:18:07.087470Z","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":2023,"source":"pdf_text","source_observed_at":"2026-08-08T16:44:22.834902Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2502.06910"},"observation_digest":"sha256:e51cc0cc169f37dfd1489b82562015cd67c2d0659aad6c7b2deb34d9374aa4cc","observation_id":"c560919f-390b-48cd-85df-14184e51f348","resolution":{"observed_at":"2026-08-08T16:44:22.834902Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-08-08T13:37:10.472103Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.07176","last_updated":"2025-03-01T19:24:31Z","snapshot_observed_at":"2026-08-08T13:30:55.982457Z","submitted_at":"2025-02-11T01:59:46Z","title":"MatrixKAN: Parallelized Kolmogorov-Arnold Network","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T13:37:10.472103Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2502.07176"},"observation_digest":"sha256:a88c15efd6da8f709d24746159bf0630634f85723da51e8392e067b9b512ae15","observation_id":"e3a88dec-42b2-4e40-8b64-d4a01bea2dfb","resolution":{"observed_at":"2026-08-08T13:37:10.472103Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-08-07T14:01:00.806580Z","title":"U-kan makes strong backbone for medical image segmentation and generation,","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":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:00.806580Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2505.20176"},"observation_digest":"sha256:ee62ebe15fe7ca40b46311a52806e091f9398e4d70c9d6142c7555957a851bcf","observation_id":"2764955e-a576-44d8-9d14-e42b45a2c509","resolution":{"observed_at":"2026-08-07T14:01:00.806580Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-08-07T10:29:06.350117Z","title":"U-kan makes strong backbone for medical image segmentation and gener- ation.arXiv preprint arXiv:2406.02918, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05175","last_updated":"2025-06-05T15:49:39Z","snapshot_observed_at":"2026-08-10T04:06:48.338148Z","submitted_at":"2025-06-05T15:49:39Z","title":"Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:06.350117Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2506.05175"},"observation_digest":"sha256:72f7377f061920a235d0b10c1af190e335adbef447c4b983d6b3ac747dca5b35","observation_id":"9f57e0bd-6528-42da-bde1-986c4429ce8a","resolution":{"observed_at":"2026-08-07T10:29:06.350117Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-08-07T05:37:57.738769Z","title":"U-kan makes strong backbone for medi- cal image segmentation and generation.arXiv preprint arXiv:2406.02918,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07549","last_updated":"2025-06-09T08:38:26Z","snapshot_observed_at":"2026-08-09T17:46:07.793437Z","submitted_at":"2025-06-09T08:38:26Z","title":"Improving Memory Efficiency for Training KANs via Meta Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:37:57.738769Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2506.07549"},"observation_digest":"sha256:9a233d5cf4d9e04d970ebd39f49ad36986ac60da5668d4e0b902902bb8e0e9b0","observation_id":"8c36cd2e-4360-457c-9204-e70d25caec1f","resolution":{"observed_at":"2026-08-07T05:37:57.738769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-08-06T16:49:02.509203Z","title":"U-kan makes strong backbone for medical image segmentation and generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12675","last_updated":"2025-07-16T23:17:58Z","snapshot_observed_at":"2026-08-06T16:39:45.422271Z","submitted_at":"2025-07-16T23:17:58Z","title":"FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention Networks","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T16:49:02.509203Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2507.12675"},"observation_digest":"sha256:e52cde25b8ef8c26fd9b5eb01360f511f1060f3403ea9cb3974e16fef87e8cb5","observation_id":"7a4cd8c8-0218-4a16-b1ef-2cd3f0e14592","resolution":{"observed_at":"2026-08-06T16:49:02.509203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-08-06T04:24:22.439616Z","title":"U-kan makes strong backbone for medical image segmentation and generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.03596","last_updated":"2025-08-05T16:01:00Z","snapshot_observed_at":"2026-08-07T10:46:52.112708Z","submitted_at":"2025-08-05T16:01:00Z","title":"MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T04:24:22.439616Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2508.03596"},"observation_digest":"sha256:e46ec5f77c778469d66f67246c45f70e802af547d520880fc30c528fcf6d9327","observation_id":"7efa1341-e32f-4627-831e-0018cf943687","resolution":{"observed_at":"2026-08-06T04:24:22.439616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-08-04T16:32:36.363499Z","title":"U-kan makes strong backbone for medical image segmentation and generation, 2024 a","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":32,"source":"arxiv_source","source_observed_at":"2026-08-04T16:32:36.363499Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2509.14026"},"observation_digest":"sha256:ac845bddc99dd4055531d852651e6c6a468d9aa16a833cc382e187280f218994","observation_id":"bb18f6fd-49db-48ab-a563-d56eeb95ab69","resolution":{"observed_at":"2026-08-04T16:32:36.363499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":"2406.02918","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"U-kan makes strong backbone for medical image segmentation and generation","venue":null,"work_id":"cf8177c8-aa28-4314-9ccc-145501ab4de2","year":2024},"citing_paper":{"arxiv_id":"2509.16750","last_updated":"2026-04-09T14:56:23Z","snapshot_observed_at":"2026-08-04T07:26:50.126635Z","submitted_at":"2025-09-20T17:21:58Z","title":"Interpretable Clinical Classification with Kolmogorov-Arnold Networks","version":3},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-18T15:03:46.578518Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2509.16750"},"observation_digest":"sha256:6613e87ccc1f07aaa39c33a661c42ba8b384bc06ce2f0628c172719507d46db4","observation_id":"e763dfd2-a58b-4169-9416-a4a721f9b089","resolution":{"observed_at":"2026-05-18T15:06:32.251627Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":"2406.02918","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"U-kan makes strong backbone for medical image segmentation and generation","venue":null,"work_id":"cf8177c8-aa28-4314-9ccc-145501ab4de2","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":180,"source":"pdf_text","source_observed_at":"2026-05-18T03:29:15.570760Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2510.25781"},"observation_digest":"sha256:c2816a6e8b49123561e45829a75b865d837c663e612cd60f06f6cab11a3b3d75","observation_id":"379ae4da-8745-4225-8ae2-cfd47f0ebf8a","resolution":{"observed_at":"2026-05-18T03:30:50.762772Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-08-03T21:17:38.176296Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.00055","last_updated":"2025-11-20T08:55:01Z","snapshot_observed_at":"2026-08-06T11:23:41.242691Z","submitted_at":"2025-11-20T08:55:01Z","title":"KAN-SAs: Efficient Acceleration of Kolmogorov-Arnold Networks on Systolic Arrays","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T21:17:38.176296Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2512.00055"},"observation_digest":"sha256:18bd7286efa6f427a53c96dcce345fda560ef77c6e1249ea8245060cce3e84ee","observation_id":"0977f3f1-3d11-416b-b179-192d7c77347d","resolution":{"observed_at":"2026-08-03T21:17:38.176296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-08-03T16:38:08.883881Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.12850","last_updated":"2026-06-16T20:05:33Z","snapshot_observed_at":"2026-08-08T04:58:47.645156Z","submitted_at":"2025-12-14T21:29:10Z","title":"KANEL\\'E: Kolmogorov-Arnold Networks for Efficient LUT-based Evaluation","version":3},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T16:38:08.883881Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2512.12850"},"observation_digest":"sha256:da6ccbd0f25255ba2deb9f77e8cf01c42bb1b5b50b9132e6876b9de533d92dc6","observation_id":"d04e5089-0b7a-4dbc-8b06-7acf6656c634","resolution":{"observed_at":"2026-08-03T16:38:08.883881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":"2406.02918","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"U-kan makes strong backbone for medical image segmentation and generation","venue":null,"work_id":"cf8177c8-aa28-4314-9ccc-145501ab4de2","year":2024},"citing_paper":{"arxiv_id":"2604.10696","last_updated":"2026-04-12T15:43:50Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-12T15:43:50Z","title":"Camyla: Scaling Autonomous Research in Medical Image Segmentation","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-05-10T16:00:25.150960Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2604.10696"},"observation_digest":"sha256:42b4a5dee764254a06dc15ee33ca2ecf6b02cbd2168b358c02800c8c06ddf563","observation_id":"a347cf2d-6ff0-4769-8322-3341f1aef65c","resolution":{"observed_at":"2026-05-11T09:31:01.524831Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":"2406.02918","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"U-kan makes strong backbone for medical image segmentation and generation","venue":null,"work_id":"cf8177c8-aa28-4314-9ccc-145501ab4de2","year":2024},"citing_paper":{"arxiv_id":"2604.16842","last_updated":"2026-04-18T05:24:35Z","snapshot_observed_at":"2026-07-06T23:04:05.813982Z","submitted_at":"2026-04-18T05:24:35Z","title":"Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches","version":1},"reference_index":209,"source":"pdf_text","source_observed_at":"2026-05-10T07:13:10.140500Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2604.16842"},"observation_digest":"sha256:b8bf995c84c0179448fbb473e9292adb84efe38114f1b748b619462e4880028a","observation_id":"894b53b9-b93e-4081-b17c-89c963c713c3","resolution":{"observed_at":"2026-05-10T09:18:32.791456Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","version":3},"cited_work":{"arxiv_id":"2406.02918","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.02918","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"U-kan makes strong backbone for medical image segmentation and generation","venue":null,"work_id":"cf8177c8-aa28-4314-9ccc-145501ab4de2","year":2024},"citing_paper":{"arxiv_id":"2605.09572","last_updated":"2026-05-10T14:37:02Z","snapshot_observed_at":"2026-07-06T23:21:39.966502Z","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":28,"source":"pdf_text","source_observed_at":"2026-05-12T03:47:58.527417Z"},"links":{"cited_paper":"/paper/2406.02918","citing_paper":"/paper/2605.09572"},"observation_digest":"sha256:85e3b9b7b7c7f1ef68ae2b2d8f0184d231034b02f271c46f8917b69c37a7e315","observation_id":"8709f3be-910a-4124-8514-2b30f1a009ea","resolution":{"observed_at":"2026-05-12T06:56:29.182363Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.02918/citation-record","integrity":"/paper/2406.02918/integrity","json":"/paper/2406.02918/citation-record.json","paper":"/paper/2406.02918"},"outbound":[],"paper":{"arxiv_id":"2406.02918","last_updated":"2024-08-22T11:55:56Z","latest_version":3,"primary_category":"eess.IV","snapshot_observed_at":"2026-07-06T18:25:40.229186Z","submitted_at":"2024-06-05T04:13:03Z","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2406.02918."}