{"as_of":"2026-08-15T15:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:354d551ff5c555a1e591cc034884f28409806b4802ace7b3fb2416f5888ffa7a","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:51:40.342729Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2505.17438/citation-record","integrity":"/paper/2505.17438/integrity","json":"/paper/2505.17438/citation-record.json","paper":"/paper/2505.17438"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:47.743991Z","title":"To- wards the unmanned aerial vehicles (uavs): A comprehensive review,","venue":null,"work_id":"2980e4f2-8add-4e9f-8651-252e7779531b","year":2022},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:35.919506Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:53c3cb3e73fad01882472e27cbf0ae6fa095497a4d61633cfde418cb2e49d0f8","observation_id":"8594d7f7-7d6d-430e-977e-e0687c62522d","resolution":{"observed_at":"2026-08-07T14:51:47.804950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:47.608843Z","title":"A survey of guidance, navi- gation, and control systems for autonomous multi-rotor small unmanned aerial systems,","venue":null,"work_id":"6ce3a334-d182-4a05-a8b8-e4b3bb270e2a","year":2021},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:35.976434Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:df2fd5b02b57f99c54cb6c0e429cb27afd9f58e5fb7c88a5b7706db00e32eeec","observation_id":"d47b1e5c-7f77-43a3-a9b0-002b92026f95","resolution":{"observed_at":"2026-08-07T14:51:47.671289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T14:51:36.058800Z","title":"Using occupancy grids for mobile robot perception and navigation,","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:36.058800Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:e535fceb01ff7444a4b0001242c406414fadd30d58b6a5f3a9ccb723fff199e3","observation_id":"42a38f3d-4645-4104-a60d-9733f0c04bbb","resolution":{"observed_at":"2026-08-07T14:51:36.058800Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:47.350730Z","title":"Signed distance fields: A natural representation for both mapping and planning,","venue":null,"work_id":"f25457d7-6522-493e-a2c3-ca41e2f96787","year":2016},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:36.170764Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:724f0f4df68b1811bdb9b3fb187b2fc2639b3b745aebf4cd8a0350a44fcadbdc","observation_id":"5cdd2cfd-2772-4c32-8ae6-aaca4e5a0415","resolution":{"observed_at":"2026-08-07T14:51:47.476263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:47.147295Z","title":"Raptor: Robust and perception- aware trajectory replanning for quadrotor fast flight,","venue":null,"work_id":"5d455751-289e-4fa8-85c4-1d69970a8384","year":1992},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:36.240217Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:de1ee7dd1a881f19179b04674a55b9a8f3974141c5e21582b7daa74ceb8fa4c9","observation_id":"fff5a95b-a1fa-4fd1-a6ce-fe12c6d29d62","resolution":{"observed_at":"2026-08-07T14:51:47.230474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:46.974173Z","title":"Seer: Safe efficient exploration for aerial robots using learning to predict information gain,","venue":null,"work_id":"04a8aa38-9510-4f79-b25f-8e93c48209af","year":2023},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:36.312614Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:d1264ee3a20fbd172787dca027b18beaf21d6fdea3cd0cf3561329efa035a282","observation_id":"e98f7470-89cc-4570-8ed2-fd865e89f4da","resolution":{"observed_at":"2026-08-07T14:51:47.046840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:46.806142Z","title":"Perceptive model predictive control for con- tinuous mobile manipulation,","venue":null,"work_id":"1439e7bc-fa18-44a9-84f8-843fdd61c2ad","year":2020},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:36.403116Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:b10e2d649049869a5809fa446f651a523e8494a79f1ea4cc50791e00a084a324","observation_id":"3a450643-6ce0-4f7d-a1f7-04c312534725","resolution":{"observed_at":"2026-08-07T14:51:46.873552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:46.635095Z","title":"Fiesta: Fast incremental euclidean distance fields for online motion planning of aerial robots,","venue":null,"work_id":"51411b22-4a55-4790-acfa-7f348b260b3e","year":2019},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:36.509126Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:e194223966eb07fce1cb6046b4a9a84ee70a93e0bef30ca340dee67ebde6df23","observation_id":"a697ad07-7ef2-41fb-8c1d-d6a1e7cde0ab","resolution":{"observed_at":"2026-08-07T14:51:46.722758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:46.454611Z","title":"V oxblox: Incremental 3d euclidean signed distance fields for on-board mav planning,","venue":null,"work_id":"27b65c67-7d89-4e1a-9dfb-1423d6bf902f","year":2017},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:36.589431Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:a6c9bbd98366100d9359b6940346883a1788f11e01cd7637837a33b3f4deaf06","observation_id":"f52382aa-08aa-4b6b-b6b2-d438201980ae","resolution":{"observed_at":"2026-08-07T14:51:46.533520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:46.314976Z","title":"V oxfield: Non-projective signed distance fields for online plan- ning and 3d reconstruction,","venue":null,"work_id":"f8ceecd4-b5f6-4405-93d1-02945a26684a","year":2022},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:36.675507Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:0c37f893aa0016c1c9feb53859000e395ccb9537eb17c2492d0f0049694372cb","observation_id":"65c3d875-bba2-475a-b256-389c3828f1e0","resolution":{"observed_at":"2026-08-07T14:51:46.391667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:46.168931Z","title":"Fiimap: Fast incremental inflate mapping for autonomous mav navigation,","venue":null,"work_id":"84ac9021-e23e-4812-a3bd-8c1a5d98efee","year":2023},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:36.774187Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:067b2359eb5df231fa49cb05a8d34f3073fd3f5c39c71bcaf54ae862d9c51084","observation_id":"f2246910-dff5-46a4-822a-f656132f4fcf","resolution":{"observed_at":"2026-08-07T14:51:46.245102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:46.030861Z","title":"Rog-map: An efficient robocentric occupancy grid map for large-scene and high- resolution lidar-based motion planning,","venue":null,"work_id":"920dab89-03cf-4f8e-8af3-d1a079107f0e","year":2024},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:36.859845Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:0abaa2fd46ffa447f8dd1a237ad4e555f8cb8d6273902eb30f7c76970f8d3a33","observation_id":"1abbf613-1762-40ec-aa47-ad073d301bdf","resolution":{"observed_at":"2026-08-07T14:51:46.104693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:45.796703Z","title":"A universal grid map library: Implementa- tion and use case for rough terrain navigation,","venue":null,"work_id":"f73436a6-408a-46e4-8aa2-12caf93212ca","year":2016},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:36.954525Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:066f9288ccb0b6e984e0f290020389d807e948e8ea8a63aa3d718fa095e1a24d","observation_id":"47a28c3c-d729-48b4-b44b-eb0e55a22cb3","resolution":{"observed_at":"2026-08-07T14:51:45.907194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T14:51:37.045432Z","title":"Octomap: An efficient probabilistic 3d mapping framework based on octrees,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:37.045432Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:696c79100c0935878f1878dea8e8e211d099afdfaae18461a316f6fb30477500","observation_id":"20c4fae7-76a2-4e12-a905-1bc7806b4ef7","resolution":{"observed_at":"2026-08-07T14:51:37.045432Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:45.484238Z","title":"Ufomap: An efficient probabilistic 3d mapping framework that embraces the unknown,","venue":null,"work_id":"116b7461-c34f-4993-b3d6-99e84d92f130","year":2020},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:37.128351Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:742c3c636b182da71de15d269c0032bb734afd9037871e280add67fb5ab328bd","observation_id":"f7c90167-b5a3-47c4-9728-43ccfaa20303","resolution":{"observed_at":"2026-08-07T14:51:45.655361Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:45.224832Z","title":"Multi-resolution 3d mapping with explicit free space representation for fast and accurate mobile robot motion planning,","venue":null,"work_id":"179ba85f-d373-40e1-8b79-2e404cf5c992","year":2021},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:37.237880Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:3dfc71e380ea9c90d563d0a7c382b78d3de4567ce6ebd18856b066735c971aff","observation_id":"d72e5b07-525d-45d0-928b-d5ffce6042b6","resolution":{"observed_at":"2026-08-07T14:51:45.346971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:44.969032Z","title":"i-octree: A fast, lightweight, and dynamic octree for proximity search,","venue":null,"work_id":"e05c0921-2378-4d1a-81ba-6cd75b36f044","year":2024},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:37.325943Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:e19e84e80830308ce1d936b47d112f95995c1e4caa8d8f0b1150c7be37593fe2","observation_id":"dea0601b-3c07-43cc-95af-b682e853ac0d","resolution":{"observed_at":"2026-08-07T14:51:45.091524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:44.801505Z","title":"Path deformation roadmaps: Compact graphs with useful cycles for motion planning,","venue":null,"work_id":"ecb85a09-f72e-490a-8dec-7e7f4d4c6c06","year":2008},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:37.406277Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:23a020176d3d7e0742ef87c9d7b2ed800481b1663819af5e560e35dac79bd940","observation_id":"5d692c05-3bc8-47c0-8585-5ef4181ab9ca","resolution":{"observed_at":"2026-08-07T14:51:44.888261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:44.632793Z","title":"Search-based path planning with homotopy class con- straints,","venue":null,"work_id":"115ad0bf-3822-4f83-b8fe-70efd776b414","year":2010},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:37.482698Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:e4e1afb58f9c368812aef43adb0ec21431247afe1bcc9262438f0919a32d5286","observation_id":"c5588672-0056-4639-b14f-94a247076790","resolution":{"observed_at":"2026-08-07T14:51:44.725163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:44.460589Z","title":"Topological constraints in search-based robot path planning,","venue":null,"work_id":"109252d0-7135-4663-be41-870149f5179d","year":2012},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:37.588467Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:b11880c881b37fc476b6c72d5963896ac8ea569d3992c075bfee3a24c9ba4eb5","observation_id":"538f51de-664b-4a50-801b-fda3e8a1f91b","resolution":{"observed_at":"2026-08-07T14:51:44.544191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T14:51:37.660186Z","title":"Prob- abilistic roadmaps for path planning in high-dimensional configuration spaces,","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:37.660186Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:3629a7449b97df27433279939d5455ec48de220f4c6b9afeea19e79b87973385","observation_id":"e91d3087-2c40-4b41-b5b5-8201a46aed02","resolution":{"observed_at":"2026-08-07T14:51:37.660186Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:44.273668Z","title":"Ctopprm: Clustering topo- logical prm for planning multiple distinct paths in 3d environments,","venue":null,"work_id":"21b56b96-037e-4f9c-9341-0c0fcb16a282","year":2023},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:37.758164Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:ba0d6bba4799eded67399133b72fb18def3e8d6759dabce925edcc31d4c48536","observation_id":"2928f389-abdb-41bc-bfa7-cdd31ca92119","resolution":{"observed_at":"2026-08-07T14:51:44.382792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:44.111422Z","title":"An online motion planning approach of mobile robots in distinctive homotopic classes by a sparse roadmap,","venue":null,"work_id":"3f47da0c-197c-416a-8230-63776bc10af6","year":2019},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:37.861795Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:94786abd1413e7e840e2dea65bb873d2e5fc55f1f192f1ba51be4a2921b5c862","observation_id":"75e8a57d-26ea-4df9-9fee-1f37dade15da","resolution":{"observed_at":"2026-08-07T14:51:44.170645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:43.954738Z","title":"An improved probabilistic roadmap planning method for safe indoor flights of unmanned aerial vehicles,","venue":null,"work_id":"428f9cb8-4512-4d66-80ee-a33e95e23a70","year":2023},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:37.943088Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:46cde710d54ab7693644f8681b44a28b3af995adb9d48ed41e6487a7e895fe27","observation_id":"1719d38f-59ff-4dd1-be11-a412c27ba73b","resolution":{"observed_at":"2026-08-07T14:51:44.045984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:43.808922Z","title":"Visibility-based probabilis- tic roadmaps for motion planning,","venue":null,"work_id":"2d79def9-dbce-4d9f-94ad-2db20c5a2311","year":2000},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:38.054008Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:8425771b89820314dcda408975dc1064675dca6885a782fca1a151a5db0d9bfc","observation_id":"02805b33-e2d3-486c-9fdc-dc8dc57e1b3b","resolution":{"observed_at":"2026-08-07T14:51:43.879576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:43.662175Z","title":"Far planner: Fast, attemptable route planner using dynamic visibility update,","venue":null,"work_id":"031d4483-4574-4d40-a682-0096d37b9871","year":2022},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:38.162601Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:9453806ccdf782af044e003eb85e51230a0d552ac0d13002a071628c9dca0b31","observation_id":"bc72d2d2-975e-4295-ac23-4ab17de62e1a","resolution":{"observed_at":"2026-08-07T14:51:43.721049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:43.481388Z","title":"Obstacle-aware topologi- cal planning over polyhedral representation for quadrotors,","venue":null,"work_id":"cc94389d-f962-4815-8f59-15be19cf57b3","year":2023},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:38.258409Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:d8279ebce4f3090e27d25757a52dc33ddaab7ca98c36703a4d54371289c2227e","observation_id":"78f6abec-fe7e-4470-96c5-2c5360d59b11","resolution":{"observed_at":"2026-08-07T14:51:43.568679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:43.366658Z","title":"Fht-map: Feature- based hybrid topological map for relocalization and path planning,","venue":null,"work_id":"f0ad89d8-0be1-42e2-9d97-27c257c62844","year":2024},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:38.352298Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:5e2818f787dac7f2c32083e5dd0d3f9c54df299c40384f6abadbfafcecec0cfa","observation_id":"aed50134-ee94-4054-9c42-51ec2d112885","resolution":{"observed_at":"2026-08-07T14:51:43.422932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:43.146442Z","title":"Ego-swarm: A fully autonomous and decentralized quadrotor swarm system in cluttered environments,","venue":null,"work_id":"02d32f5b-4aa3-4765-8a49-143e8679fdcc","year":2021},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:38.435087Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:2e39af461579cc6456158217075c53753eac063f18f27f56b63c1a4e0cdf864f","observation_id":"64c4582e-f42a-4d3b-b8f6-16728e9e4c32","resolution":{"observed_at":"2026-08-07T14:51:43.257793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:42.982629Z","title":"Topological semantic graph memory for image-goal navigation,","venue":null,"work_id":"ede08545-b859-43cc-8132-4c2a4167a06c","year":2023},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:38.538206Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:c0c23a8d19fc012b7b13ebac45500dd3d9ac6112a8b6aeb0cc9dac59c2a1eacc","observation_id":"ec8d8520-8de4-4989-b122-2cfaf5ea0615","resolution":{"observed_at":"2026-08-07T14:51:43.072183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:42.801739Z","title":"Multi-layer path planning control for the simulation of manipulation tasks: Involving semantics and topology,","venue":null,"work_id":"47fb566d-4bd4-42a6-9c10-1e90b8598f67","year":2019},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:38.684345Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:b6268f2a89fec7456ed5256b63a0d97703d51019f2b4a931409fa128600d5659","observation_id":"ab85896d-c1ac-44e8-8ed4-b59b2ee7c2ed","resolution":{"observed_at":"2026-08-07T14:51:42.898256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T14:51:38.836845Z","title":"Etpnav: Evolving topological planning for vision-language navigation in continuous environments,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:38.836845Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:0eff9fb0c680ec46d8cfbb1f9bbb3066af50f6ffe86b318100bbf3d9535caae8","observation_id":"b96b7ac7-da2c-41a4-acf3-efe1e6efaa0b","resolution":{"observed_at":"2026-08-07T14:51:38.836845Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:42.563868Z","title":"Minimum snap trajectory generation and control for quadrotors,","venue":null,"work_id":"7e802e5d-557a-4561-90f3-b2e072a6c030","year":2011},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:38.951197Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:e7ea8b709b9d5ce4a8eb07ff650c3f9befb2df46cd2f605d6a9dad5db1bad2aa","observation_id":"d45e87bc-7e92-4201-971e-79ceff289587","resolution":{"observed_at":"2026-08-07T14:51:42.674762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:42.333541Z","title":"Online generation of collision-free trajectories for quadrotor flight in unknown cluttered environments,","venue":null,"work_id":"55ed4bc1-7358-486f-8980-be3d64c41401","year":2016},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:39.065428Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:e6ff9392f2c96fc8a80aaf69775d710669045de63f441ed5bcf79cee2f981242","observation_id":"94c280c3-c4eb-4891-9f57-44aa3abd0eff","resolution":{"observed_at":"2026-08-07T14:51:42.448851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:42.138342Z","title":"Real-time planning of minimum-time trajectories for agile uav flight,","venue":null,"work_id":"ec86324f-578d-4eba-8ccf-0636b961c037","year":2024},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:39.216636Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:cd0dfb687ae1440edcb37f73ea4e9dcf8d5abe8e21bec8e057bfccaccbdda7aa","observation_id":"23ec5005-b709-484e-8526-390946d40089","resolution":{"observed_at":"2026-08-07T14:51:42.216066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:41.949717Z","title":"Real- time trajectory replanning for mavs using uniform b-splines and a 3d circular buffer,","venue":null,"work_id":"eedce8a4-fb24-4d85-b293-cbb120803f38","year":2017},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:39.327579Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:3a4f03c3fde2c65c0eb1b1c660f52f4bb27ca61477cef5470d8a3fcdfe45f2db","observation_id":"3633e336-c54c-41f4-8dda-5cdc7bbafc85","resolution":{"observed_at":"2026-08-07T14:51:42.042311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T14:51:39.407087Z","title":"Faster: Fast and safe trajectory planner for navigation in unknown environments,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:39.407087Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:f0b1b33187081190c3686c9efa54d35e689ffb907c9a06536037d51c40afd8f0","observation_id":"c556cf9b-b0a2-4422-b978-343ec0f3c258","resolution":{"observed_at":"2026-08-07T14:51:39.407087Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:41.750097Z","title":"Generation of bezier curve-based flyable trajectories for multi-uav systems with parallel genetic algorithm,","venue":null,"work_id":"ccd3bd7a-91a4-48e5-81ea-fae8936e9ccd","year":2014},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:39.488944Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:2c102ff4c230b73137b1d46f6f7db6c4e6b4750cf76e21c8a04defac10d599c5","observation_id":"7df61f7e-4bba-4baf-a318-4dd66a1a4438","resolution":{"observed_at":"2026-08-07T14:51:41.824788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T14:51:39.597122Z","title":"Geometrically constrained tra- jectory optimization for multicopters,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:39.597122Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:6abb9806e74c368696d5defda948dc1e9875f5546b2bb2c81c18f1660c64c2cc","observation_id":"bb58704a-ffa2-4ca2-b48f-b35e57aee613","resolution":{"observed_at":"2026-08-07T14:51:39.597122Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:41.519024Z","title":"Perception and avoidance of multiple small fast moving objects for quadrotors with only low-cost rgbd camera,","venue":null,"work_id":"9dfddd9f-ac65-433d-bb3d-5ec0454c015f","year":2022},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:39.713651Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:be63fe3f7e1a673e0e27c39941072eb745f259a02fce431135c00a79eaa8f53e","observation_id":"9d180b02-151e-49b7-ad7e-59f9d1fe1b49","resolution":{"observed_at":"2026-08-07T14:51:41.629514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:41.242766Z","title":"Fapp: Fast and adaptive percep- tion and planning for uavs in dynamic cluttered environments,","venue":null,"work_id":"942c87e9-a7bb-461e-a124-68601bea24f6","year":2025},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:39.830066Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:24906d06242185661a3ea7ce2d99bd48af5347a386c8ade72a78c4845f80d833","observation_id":"0f07ab00-08e4-42c8-862f-58b7d3e57e1d","resolution":{"observed_at":"2026-08-07T14:51:41.351140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:41.005671Z","title":"Bubble planner: Planning high-speed smooth quadrotor trajectories using receding corridors,","venue":null,"work_id":"a804558b-aa29-491e-8fe9-c0f24d93db48","year":2022},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:39.918960Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:55efc4eb08a2bf56bd24b748f625c53376c765934b0bd41f8b5cdcc5013438b0","observation_id":"34787eaf-d0d5-4eb9-a9af-ed6ea125dbb5","resolution":{"observed_at":"2026-08-07T14:51:41.112781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T14:51:39.999193Z","title":"Learning high-speed flight in the wild,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:39.999193Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:a491e4d887bd4123e5b9a9e891d86483b916bd297a6ea26e5d956d32d22f721c","observation_id":"1f101ba7-e76e-4e65-ac95-d78eb4fed914","resolution":{"observed_at":"2026-08-07T14:51:39.999193Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:40.680377Z","title":"Learning perception- aware agile flight in cluttered environments,","venue":null,"work_id":"cf26ccd9-90c1-402e-9458-2827da7f46fd","year":2023},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:40.084150Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:f7cd387074941fe728cf7e87de821663b90029b89d882ef2715cefcdfb395592","observation_id":"395d9e86-8781-429a-bb1f-1dbb1fa56b40","resolution":{"observed_at":"2026-08-07T14:51:40.850211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10648","last_updated":"2024-07-16T03:41:08Z","snapshot_observed_at":"2026-08-12T23:22:06.341191Z","submitted_at":"2024-07-15T12:08:53Z","title":"Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.10648","snapshot_observed_at":"2026-08-07T14:51:40.230914Z","title":"Back to newton’s laws: Learning vision-based agile flight via differentiable physics,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:40.230914Z"},"links":{"cited_paper":"/paper/2407.10648","citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:48e65025ec2cc3988b13008eca5ea00701fdf19a007cf97d256a03c21faf1370","observation_id":"6e2e5448-9d4e-4313-a88a-1320a962930f","resolution":{"observed_at":"2026-08-07T14:51:40.230914Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:51:40.500669Z","title":"Fast-lio2: Fast direct lidar-inertial odometry,","venue":null,"work_id":"efc58cda-35fd-4902-a620-28c25205e4c3","year":2022},"citing_paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:40.342729Z"},"links":{"citing_paper":"/paper/2505.17438"},"observation_digest":"sha256:b2c8987b3d01ee250512686f3ab529e077ef935f904895b1ca70f344f735df86","observation_id":"056e2e5f-7f66-464c-aa45-7aed9929c0eb","resolution":{"observed_at":"2026-08-07T14:51:40.590296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.17438","last_updated":"2025-05-23T03:37:01Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-15T10:03:20.471031Z","submitted_at":"2025-05-23T03:37:01Z","title":"HEPP: Hyper-efficient Perception and Planning for High-speed Obstacle Avoidance of UAVs"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":0,"verified_fuzzy":38},"total_outbound_references":46},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.17438."}