{"as_of":"2026-08-08T12:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0bfad7f202712bcc2ee09f56264de52045bc843d0c7f0e54df9f243068478775","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T09:24:52.707597Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.02320/citation-record","integrity":"/paper/2608.02320/integrity","json":"/paper/2608.02320/citation-record.json","paper":"/paper/2608.02320"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:48.342737Z","title":"Learning traversability from point clouds in challenging scenarios,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:48.342737Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:49ee615da47f53cd90f3cc31653a9a2c2737fef955059b610ffffa65182e7780","observation_id":"1762efdd-0d32-4525-8492-df9b3b60c3a5","resolution":{"observed_at":"2026-08-04T09:24:48.342737Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:48.447895Z","title":"Attention Is All You Need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:48.447895Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:08d517e8cbf5dbaa07cfc69486f25f371a4f868f11ef3feaa300c4f9c335bdc1","observation_id":"c1318e14-b728-42f4-acec-2cf7fec83261","resolution":{"observed_at":"2026-08-04T09:24:48.447895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:48.543057Z","title":"Xgboost: A scalable tree boosting system,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:48.543057Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:3f44551db8cd5e5e553f8adc35b10dcb0d40f9d3be6a270dccfb9215bd4937df","observation_id":"22b31f38-d9ee-474c-931a-48b3d5277174","resolution":{"observed_at":"2026-08-04T09:24:48.543057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.19756","last_updated":"2025-02-09T21:09:09Z","snapshot_observed_at":"2026-07-06T18:07:47.744531Z","submitted_at":"2024-04-30T17:58:29Z","title":"KAN: Kolmogorov-Arnold Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.19756","snapshot_observed_at":"2026-08-04T09:24:48.655569Z","title":"Kan: Kolmogorov-arnold networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:48.655569Z"},"links":{"cited_paper":"/paper/2404.19756","citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:7ee836af52dad1ca6c4fcbe26a67c2bdc5304ae4c4c0a65424b8612406bb276a","observation_id":"14131074-d4b3-47c8-9018-a90444dbe12e","resolution":{"observed_at":"2026-08-04T09:24:48.655569Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.01416","last_updated":"2019-08-16T09:30:52Z","snapshot_observed_at":"2026-08-01T15:44:10.638956Z","submitted_at":"2019-04-02T13:53:16Z","title":"SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.01416","snapshot_observed_at":"2026-08-04T09:24:48.751649Z","title":"SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:48.751649Z"},"links":{"cited_paper":"/paper/1904.01416","citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:1ba64a7eb5025c3d71414770a18b428a5f727cb4b07bca80fa358dcac4f8b994","observation_id":"28694ec9-7334-4b00-8757-d52bbf654716","resolution":{"observed_at":"2026-08-04T09:24:48.751649Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:48.878956Z","title":"nuScenes: A Multimodal Dataset for Autonomous Driving,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:48.878956Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:58bdaa6be3b38a6fa1a73512d6f4b38db663d3670a6162990b35055f56feace8","observation_id":"2aa67da1-4fb9-4c5d-9d76-5f9a6e0492ea","resolution":{"observed_at":"2026-08-04T09:24:48.878956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.17243765","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Available: https://doi.org/10.5281/zenodo.17243765","venue":"Zenodo (CERN European Organization for Nuclear Research)","work_id":"4c6f0307-70b5-49ce-a79f-778f755fe261","year":null},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:49.027191Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:0539ffe2f63613c78dae0dc05d6eb4758ca480f6884e6aba8a7db4907df7a5ae","observation_id":"f4254d0e-44f6-4e5d-b14f-632572cc8c01","resolution":{"observed_at":"2026-08-04T09:28:28.836937Z","resolver_source":"doi","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:49.139923Z","title":"Pyramidal 3d feature fusion on polar grids for fast and robust traversability analysis on cpu,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:49.139923Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:f877be2cee119da46cc8b7d882fac6dbef3249c5e381936ceb6f0f0e195ea732","observation_id":"b9db87d6-67eb-4439-8414-4b13bd5afeac","resolution":{"observed_at":"2026-08-04T09:24:49.139923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:49.228452Z","title":"Terrain classification using tof sensors for the enhancement of agricultural machinery traversability,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:49.228452Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:a4bf83db9584d6953ba9c2d5a2e7318ce551018b30cc1787dce1a9b565e58e6e","observation_id":"5ca1a7aa-7dfb-40e9-8063-f468cfd1547e","resolution":{"observed_at":"2026-08-04T09:24:49.228452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:49.385019Z","title":"Self-supervised learning to visually detect terrain surfaces for autonomous robots operating in forested terrain,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:49.385019Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:ceddb86384a87ec0fd5a3721e10b4eb566c8ecc0a245700457dbdcfb4e146344","observation_id":"55503104-2099-430e-a7b0-856b95b444fa","resolution":{"observed_at":"2026-08-04T09:24:49.385019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:49.503743Z","title":"P-SVM2: Enhancing LiDAR-based Traversability Analysis with Aug- mented Point Cloud Descriptor for Autonomous Mobile Systems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:49.503743Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:549bdfeebc3d8a921571ed02b6f9f3ec87584fa47da75098dec0b8ff3f512505","observation_id":"e040178d-bc65-441f-9c85-06a32a55801c","resolution":{"observed_at":"2026-08-04T09:24:49.503743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:49.614428Z","title":"Self-supervised classification for planetary rover terrain sensing,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:49.614428Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:78ba16e3e2f760ebd18433968c3154c4c98c0af324fd5479e10e9b23d59fc122","observation_id":"6a4de040-269f-4a52-ba3c-7babdfe7140b","resolution":{"observed_at":"2026-08-04T09:24:49.614428Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:49.692975Z","title":"Traversability analysis for mobile robots in outdoor environments: A semi-supervised learning approach based on 3d-lidar data,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:49.692975Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:afafb16c4bec4b1ec22d1aec2462c7843f2a6801520cc572efbcea733df0e270","observation_id":"b8f7fa86-ad29-45c2-9c8f-48065cb3d5cf","resolution":{"observed_at":"2026-08-04T09:24:49.692975Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:49.766538Z","title":"Traversability classification for ugv navigation: a comparison of patch and superpixel representations,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:49.766538Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:3362f34072d29b73f50dd76f9afa09353eeda18e954de7d84ab7965312c55fa5","observation_id":"dbb64731-6b76-4a05-8a9d-ef36635f6cc5","resolution":{"observed_at":"2026-08-04T09:24:49.766538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:49.838138Z","title":"Lsk3dnet: Towards effective and efficient 3d perception with large sparse kernels,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:49.838138Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:80af64ccde1fb5684d5900383d1ddcad8992e059a95f31ee18c60e9c96d16b8e","observation_id":"ba73caa6-57b4-4b03-bad4-85de2e1f5392","resolution":{"observed_at":"2026-08-04T09:24:49.838138Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:49.934620Z","title":"Point transformer v3: Simpler faster stronger,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:49.934620Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:2bde66ef38e3d047d553f82c4873028f7304070235251f974cf5546b0675a33a","observation_id":"97ec0b5a-c506-4004-8ba3-ee2dedd656ad","resolution":{"observed_at":"2026-08-04T09:24:49.934620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:50.010207Z","title":"Exploiting local features and range images for small data real-time point cloud semantic segmentation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:50.010207Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:dd6c6a117cc30849be78eb297936ab55ddd5dc2742783f1db5d89d7f624d5af4","observation_id":"a2f67a1c-2a79-4aca-9208-d48256235c81","resolution":{"observed_at":"2026-08-04T09:24:50.010207Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:50.126430Z","title":"2dpass: 2d priors assisted semantic segmentation on lidar point clouds,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:50.126430Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:0d05640bdcd4645a6e587474772d5f4d30922b6bfb1d851c7b2da480ca9e90aa","observation_id":"14a1cecd-e305-4b76-b2d6-fc57cb837afd","resolution":{"observed_at":"2026-08-04T09:24:50.126430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:50.200196Z","title":"Rangenet++: Fast and accurate lidar semantic segmentation,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:50.200196Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:c0871c79767fa96cee6103493cd3fc462b966f841327c7faa167e83ecf6767b4","observation_id":"0db1f7c5-9c87-4a2a-b8a6-eb3ab642d37a","resolution":{"observed_at":"2026-08-04T09:24:50.200196Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:50.295666Z","title":"Lite-hdseg: Lidar semantic segmentation using lite harmonic dense convolutions,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:50.295666Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:52422520ea17aa6ef2bc09a5e554ed55478714a1a44b2292ba80970af1de48f5","observation_id":"c5369b3c-193b-43ae-bd46-e37ca08ab4d2","resolution":{"observed_at":"2026-08-04T09:24:50.295666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:50.359447Z","title":"Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmentation from a lidar point cloud,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:50.359447Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:7f7be37eac1a12d4de9f093794b52e4938edc32ef6d20541befa88ef70055b36","observation_id":"11a54697-2edd-4ac3-9b38-4e8147b53855","resolution":{"observed_at":"2026-08-04T09:24:50.359447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:50.437474Z","title":"Polarnet: An improved grid representation for online lidar point clouds semantic segmentation,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:50.437474Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:853f3208dbc558fcdff9f66d0559e87001a38e575ddf99be1af82faf5f20282f","observation_id":"953e7831-ce0a-4bde-9dc5-849f4b69cb1e","resolution":{"observed_at":"2026-08-04T09:24:50.437474Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:50.548567Z","title":"4d spatio-temporal convnets: Minkowski convolutional neural networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:50.548567Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:498776e09480b5e695fbd55ef1294cced084307a435e3d2d3018456e3c27eedb","observation_id":"55654728-3d81-4869-859f-32d8de9d6e59","resolution":{"observed_at":"2026-08-04T09:24:50.548567Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:50.655020Z","title":"3d semantic segmen- tation with submanifold sparse convolutional networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:50.655020Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:04f3788b20dd64ea6b32e7444b9bf1081b9d122123f360acb7c502847b831ca3","observation_id":"97a58a10-0685-4ef6-a65c-d222708f118d","resolution":{"observed_at":"2026-08-04T09:24:50.655020Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:50.775681Z","title":"Foresttrav: 3d lidar-only forest traversability estimation for au- tonomous ground vehicles,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:50.775681Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:58d90bf108d85c707c14ef22e794b35df99774239fe1305286a574d5f44c53f0","observation_id":"1c354da5-016a-4212-b5ba-e04edc0a57f8","resolution":{"observed_at":"2026-08-04T09:24:50.775681Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:50.859658Z","title":"Pointnet: Deep learning on point sets for 3d classification and segmentation,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:50.859658Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:1efb53802c8076aaca57ac9b55c5365e054dd796efc4737ac17ca53e03b5c2ae","observation_id":"5148781a-1b46-4ef5-ab35-321c29105eae","resolution":{"observed_at":"2026-08-04T09:24:50.859658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:50.956564Z","title":"Pointnet++: Deep hierar- chical feature learning on point sets in a metric space,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:50.956564Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:e966498817f8617bf8a94e76e050c4960d47bfa9ff520ff5551eddefb039d295","observation_id":"7861eb9f-cc48-4457-b7ce-817d8c89390e","resolution":{"observed_at":"2026-08-04T09:24:50.956564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:51.058209Z","title":"Randla-net: Efficient semantic segmentation of large- scale point clouds,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:51.058209Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:f9036c1adbf2c288c9b290765074aec9817f68deed91026d81db24fdb925ee7a","observation_id":"e9f0f4d8-4611-433e-8df3-78cea10c30a3","resolution":{"observed_at":"2026-08-04T09:24:51.058209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:51.162668Z","title":"Kpconv: Flexible and deformable convolution for point clouds,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:51.162668Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:832496b61056dd986219f831c5a18e613a1812480d48a770eed7e7e24e6e66b6","observation_id":"8212be21-80fc-4b2d-8ed9-e63e5a5bfd5d","resolution":{"observed_at":"2026-08-04T09:24:51.162668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:51.322528Z","title":"Gonet: A semi-supervised deep learning approach for traversability estimation,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:51.322528Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:153bea05e0d6c193ebc9a447231e5a9ac8b10ee6978baf5bdbb76b5667a28274","observation_id":"0f9d4386-f288-4504-bf61-d55b03590e79","resolution":{"observed_at":"2026-08-04T09:24:51.322528Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:51.469729Z","title":"Vunet: Dynamic scene view synthesis for traversability estimation using an rgb camera,","venue":null,"work_id":null,"year":2062},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:51.469729Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:b345a157fdba2ddb65ef46c73412fe4c86ef78242377f58016f3def42020947f","observation_id":"4ef51271-d5cf-43d2-8e03-5f9b8faeeed6","resolution":{"observed_at":"2026-08-04T09:24:51.469729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:51.644319Z","title":"Deep visual mpc-policy learning for navigation,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:51.644319Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:ed428b53df608707aec1f17f7e6f8ac86c53111fa4cbdb9d8383c3265a078077","observation_id":"3eeccfa9-bea4-4911-a49b-2dd47ab25fab","resolution":{"observed_at":"2026-08-04T09:24:51.644319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:51.730242Z","title":"Adapnet: Adap- tive semantic segmentation in adverse environmental conditions,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:51.730242Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:8bcbe54d9a89442b62ef1af3a0615a3edd8db9595d6a9c0f46a05b5faf7d2abf","observation_id":"167c906e-b22e-4370-b52a-16400d625a1a","resolution":{"observed_at":"2026-08-04T09:24:51.730242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:51.834182Z","title":"Deep reinforcement learning for safe local planning of a ground vehicle in unknown rough terrain,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:51.834182Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:06eb354506da1c3db73df54391a10710d53cd92d21c10b168439cf5010daebab","observation_id":"2a9b762c-8f21-4d7b-8602-6e9bd97a27dd","resolution":{"observed_at":"2026-08-04T09:24:51.834182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:51.961787Z","title":"Learning to drive off road on smooth terrain in unstructured environments using an on-board camera and sparse aerial images,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:51.961787Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:15edf42c81f91479ced4e30886c076abc6399178f1fda386e6e500f1fb4705a2","observation_id":"26f97ce9-3ccb-4d6d-9571-23e31171748a","resolution":{"observed_at":"2026-08-04T09:24:51.961787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:52.089182Z","title":"Learning-based end-to-end path planning for lunar rovers with safety constraints,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:52.089182Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:1ecefc7036baf153bdc5ab39bc964254ef242e6c378f29d987f428195cb0b4b7","observation_id":"f6b63732-c561-40f4-9a5a-d85699d90d47","resolution":{"observed_at":"2026-08-04T09:24:52.089182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:52.195538Z","title":"Robot navigation of environments with unknown rough terrain using deep reinforcement learning,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:52.195538Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:14a98f9e31d33c8bccc8c2dd655999d5f533a8939318070e7e3d72ffe7ce7e44","observation_id":"e4fd3ffd-e0c4-4537-b32c-1cb101e14f69","resolution":{"observed_at":"2026-08-04T09:24:52.195538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:52.270928Z","title":"BADGR: An Autonomous Self- Supervised Learning-Based Navigation System,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:52.270928Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:590cb767ea7774073c8f590ca78d347311d45723868873213758988802b2003c","observation_id":"786b9385-e592-4696-a20a-482bb5111270","resolution":{"observed_at":"2026-08-04T09:24:52.270928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:52.360630Z","title":"Incorporating multi-context into the traversability map for urban autonomous driving using deep inverse reinforcement learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:52.360630Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:2e2e95f1bd6933b3e9312a45294c97f4a14652b527def4efa1f030799eb16052","observation_id":"d22acaf7-9d21-4a4e-9925-53901b9cc366","resolution":{"observed_at":"2026-08-04T09:24:52.360630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:52.477633Z","title":"Off-road autonomous vehicles traversability analysis and trajectory planning based on deep inverse reinforcement learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:52.477633Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:f64db0afe77f7689999d7c2f3c9655e0f2e6521553fe0b2c2eee38035df3bd2c","observation_id":"f82de61d-1bb7-4d9e-908f-99ef1fef7877","resolution":{"observed_at":"2026-08-04T09:24:52.477633Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:52.610815Z","title":"An autonomous exploration algorithm using environment-robot interacted traversability analysis,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:52.610815Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:f92f62ce37fc8dfbe5b997f8042339a57a3e4096900887d47cdb4e39e4724b5b","observation_id":"1b27f58a-b482-4924-b5ef-b590385680d6","resolution":{"observed_at":"2026-08-04T09:24:52.610815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:24:52.707597Z","title":"Reflectivity is all you need!: Advancing lidar semantic segmentation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T09:24:52.707597Z"},"links":{"citing_paper":"/paper/2608.02320"},"observation_digest":"sha256:985a9cde083de4d40c9c3ed4bdae3bf27a6eda9ef5c9af90e81df06eb2235dde","observation_id":"4231421b-3aa2-4769-b469-c99489827777","resolution":{"observed_at":"2026-08-04T09:24:52.707597Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.02320","last_updated":"2026-08-03T14:45:47Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-06T23:37:10.216815Z","submitted_at":"2026-08-03T14:45:47Z","title":"TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":41,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":42},"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 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.02320."}