{"as_of":"2026-08-07T08:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:723e7812aeb2bc3b791553b3189cd2ac06a0840c5b2423a45a6bdc6381138332","coverage":[{"denominator":78,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":78,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:05:57.412149Z","state":"measured"},{"denominator":78,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":78,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2507.09340/citation-record","integrity":"/paper/2507.09340/integrity","json":"/paper/2507.09340/citation-record.json","paper":"/paper/2507.09340"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:06:08.159708Z","title":"Collaborative multi-robot search and rescue: Planning, coordination, perception, and active vision,","venue":null,"work_id":"784d7235-b2ac-4422-9964-0e93a34e85dc","year":2020},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:52.401715Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:026bf54ea61019231fb8dd1a7633be26f8ed679c9fbeea0284c72b5238390aed","observation_id":"ecb28563-450b-4de4-8e2a-ccc67011793b","resolution":{"observed_at":"2026-08-06T18:06:08.162693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.151096Z","title":"An efficient spatial-temporal trajectory planner for autonomous vehicles in unstructured environments,","venue":null,"work_id":"bb39492b-75c7-458f-9bfa-92afd3359238","year":2023},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:52.463239Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:e549af98c71c3d4c8b50b7836cc7b28b9d5e739cde03ff91efd0ca2cca750347","observation_id":"e58f8caa-cde8-4006-9491-655ad89c92fb","resolution":{"observed_at":"2026-08-06T18:06:08.154353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.142913Z","title":"Autonomous power line inspection with drones via perception-aware mpc,","venue":null,"work_id":"0eb65301-f974-4620-b7a9-50d7e3956787","year":2023},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:52.500302Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:e78b0e8ef7215b8b7b413e4900eb96a8f3735905325b1a606df3f0f3f1ff73c2","observation_id":"6430d534-5add-4ad9-b856-265eae7664b7","resolution":{"observed_at":"2026-08-06T18:06:08.145581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.134628Z","title":"A unified framework for large-scale occu- pancy mapping and terrain modeling using rmm,","venue":null,"work_id":"97eabd7f-7bf5-4adc-b3f4-165ce273c6de","year":2022},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:52.596441Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:93095f89b1e795df30b2cb33824aad7904abf926956f973c2b55622528af80b8","observation_id":"54c9e974-c029-4912-a4b1-6c0aec24d9a3","resolution":{"observed_at":"2026-08-06T18:06:08.137700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.126320Z","title":"Extensions of lipschitz mappings into a hilbert space,","venue":null,"work_id":"434e4dc2-9a2d-44c4-aebf-8cf6717cabba","year":1984},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:52.656108Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:eee733d1ac6db72d5d328f1fa2b27c85db15cdc26f1bb6768a53d0fc84d6a145","observation_id":"524d9a27-4fc8-48e4-af78-3063cc23e8c0","resolution":{"observed_at":"2026-08-06T18:06:08.129298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.117620Z","title":"Tighter bounds for random projections of manifolds,","venue":null,"work_id":"86cde66d-41e1-494b-b28e-8e1662a828d1","year":2008},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:52.751204Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:b48ffc2d6e58834c897a7b98a7af378948ff7ef6680bd90fdfd8781c015cb1bb","observation_id":"3d71aa8d-914a-42bd-875a-cd36c4f95efa","resolution":{"observed_at":"2026-08-06T18:06:08.120718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.109637Z","title":"On sparsity and sub-gaussianity in the johnson-lindenstrauss lemma,","venue":null,"work_id":"e2289253-8918-4fbb-adae-393352aa84c7","year":2024},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:52.822736Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:6d19ac72cc35fddd4147cab2b3cc4189c53da7b8693ca722c2b7a2a31c80fcca","observation_id":"4bc7ca0e-9e73-40c9-88ae-5fcce77a138a","resolution":{"observed_at":"2026-08-06T18:06:08.112456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.100531Z","title":"Machine learning friendly set version of john- son–lindenstrauss lemma,","venue":null,"work_id":"1871e45d-5ca8-4c3c-b8ba-86d9b3b03ae4","year":1961},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:52.916242Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:938c18745d8b676218aff04cb5ed46a2016379c358fbd30a1622f050305151fc","observation_id":"ba95ae6b-b97b-439b-923a-c4f56d223c7a","resolution":{"observed_at":"2026-08-06T18:06:08.104122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.091847Z","title":"Nearly tight oblivious subspace embeddings by trace inequalities,","venue":null,"work_id":"54158fae-78ba-426d-81a2-003d87e404de","year":2016},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:52.996518Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:1fbde78edc297e12017644465ad4cd8d05c0a7f62412517efcaa33b99128e263","observation_id":"1710e423-e711-43e1-a1e6-10fed2687029","resolution":{"observed_at":"2026-08-06T18:06:08.095159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.083693Z","title":"Lower bounds for oblivious subspace embeddings,","venue":null,"work_id":"c4dbaed8-8bdd-4528-803c-7ce8801e6b0d","year":2013},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.027741Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:479c5be7967f7ce0bcab941d3f85c439dd045870a57ad77de9fb45d2e8ceadd8","observation_id":"b1d44c3c-2346-4e15-b7d3-eef792ceb512","resolution":{"observed_at":"2026-08-06T18:06:08.086645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.075482Z","title":"Osnap: Faster numerical linear algebra algorithms via sparser subspace embeddings,","venue":null,"work_id":"0f3563e7-1462-4274-aa34-93a15ffe2dbf","year":2012},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.084062Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:7517bdfbb094a8c281f4b7ff44ec3d71e27edd1a2607a92ad9522782560dcc67","observation_id":"5d1712d4-cf6c-4bd5-95cb-90b3340e910e","resolution":{"observed_at":"2026-08-06T18:06:08.078333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.067075Z","title":"On principal components regression, random projections, and column subsampling,","venue":null,"work_id":"becee3b2-616e-48fe-9651-7f8553c6bedf","year":2017},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.132359Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:2132379d34cb51ef9ed83cc6a6fec4bc054cc2f95739a02c4918cff84b264ff1","observation_id":"0b0c9d35-840f-448e-a6fa-e14a6f7273ac","resolution":{"observed_at":"2026-08-06T18:06:08.070232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.058569Z","title":"Distance-preserving property of random projection for subspaces,","venue":null,"work_id":"f2f5ffb0-bb3e-468b-998e-913d127c15a3","year":2017},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.182761Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:e7fa75740c9a697af9b0dfccaacea14e911d6e60cf111c117b652861c7c2f374","observation_id":"c1c47b1c-f8d6-43b4-bd47-05af558464d8","resolution":{"observed_at":"2026-08-06T18:06:08.061649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.049940Z","title":"Restricted isometry property of gaussian random projection for finite set of subspaces,","venue":null,"work_id":"d6329626-e540-470d-9a12-922d2afb9276","year":2017},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.261291Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:20f5a69249844b468dd7412b0f87e3a2a889d142404f314ecac27922e7488451","observation_id":"fe70d56d-3f01-4456-b466-ddc42e854850","resolution":{"observed_at":"2026-08-06T18:06:08.052957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.041090Z","title":"Octomap: An efficient probabilistic 3d mapping framework based on octrees,","venue":null,"work_id":"5e542cd8-c193-41de-9085-79cb26a1b31b","year":2013},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.302864Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:a4dd9978297c918a423262d3e914592767fb3512404565ec6cb989b8d328cc2c","observation_id":"3feadd41-0c8d-4f2c-ba3b-f3139dad311a","resolution":{"observed_at":"2026-08-06T18:06:08.044276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.031875Z","title":"Online generation of collision-free trajectories for quadrotor flight in unknown cluttered environments,","venue":null,"work_id":"b62d379b-35db-4ac0-94de-0a61e7693665","year":2016},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.331414Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:b37396bfa1d242c60e3e355b06da912f5d279d372c3108ada77510267ef8a58f","observation_id":"8c5e226a-54ec-4fcb-9454-74d3299b540e","resolution":{"observed_at":"2026-08-06T18:06:08.035316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.022304Z","title":"Real-time 3d reconstruction at scale using voxel hashing,","venue":null,"work_id":"9682c8f2-7b2d-4e06-8cd0-b6ea05744ea6","year":2013},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.381546Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:47138e604a6292ff139db3ab47268bd3be1e22a2ba9b1268d691f58bfa8af23a","observation_id":"bf9b9fe8-352a-49bc-a6d2-c022703eeb02","resolution":{"observed_at":"2026-08-06T18:06:08.025858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.012836Z","title":"Robust and effi- cient quadrotor trajectory generation for fast autonomous flight,","venue":null,"work_id":"7e5d6815-92ad-4193-9a8a-7bdd4fdff4ae","year":2019},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.464158Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:f73487c9a013393c05a94fe40ba5bfc23413e9aad4eec300fe0156dd86b330a5","observation_id":"32c06eb9-682d-48cf-b23f-331480dbe810","resolution":{"observed_at":"2026-08-06T18:06:08.016093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:08.002236Z","title":"Learning-aided 3-d occupancy mapping with bayesian generalized kernel inference,","venue":null,"work_id":"85da9ca8-04db-450d-ad2e-074274cfd066","year":2019},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.497800Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:d1c9a4151b3e98031c4d414704f972aae94296446cbf447742865b2b84a9aa14","observation_id":"3ed564b6-882d-4dce-9925-b7a3da8f731f","resolution":{"observed_at":"2026-08-06T18:06:08.005688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:07.992936Z","title":"Efficient, multifidelity perceptual repre- sentations via hierarchical gaussian mixture models,","venue":null,"work_id":"6be14525-1569-4c10-801f-b39274613012","year":2018},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.546566Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:dfce1115b622e6c639904dc6afd4a642cb374a5e3d4853904ffee52370b3f071","observation_id":"d5cf78a2-b7a9-4cda-9a8c-8bc571d1b018","resolution":{"observed_at":"2026-08-06T18:06:07.996294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:07.982875Z","title":"Gaussian process occupancy maps,","venue":null,"work_id":"7fd87be6-651e-4fca-b7af-df6d0b170ada","year":2012},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.591035Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:741932256b2cd361b0247d69248fd774dc6ed8ca85aa49b90135b111446e2136","observation_id":"7b29e898-7b4f-4be3-89b6-e46769f45b0b","resolution":{"observed_at":"2026-08-06T18:06:07.986447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:07.973431Z","title":"Deep, spatially coherent occu- pancy maps based on radar measurements,","venue":null,"work_id":"1892c15c-ae84-41e9-8420-241be9e3a269","year":2019},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.619403Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:53369ff072d549b09aa647c90bb24693b94ce921894b3f5dcb9c7302149982c0","observation_id":"178b1d9a-3093-4933-b79b-22904bd1dd61","resolution":{"observed_at":"2026-08-06T18:06:07.976779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:07.928236Z","title":"Deep occupancy maps: a continuous mapping technique for dynamic environments,","venue":null,"work_id":"4358274e-dd02-43cc-8db3-f1610dae178f","year":2017},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.673787Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:543e111172c53a2a72f796d3364402076ccd22354625f317407bc0dbaf852b91","observation_id":"ecab39ad-92f6-415e-ad0d-fa0c56197abb","resolution":{"observed_at":"2026-08-06T18:06:07.966417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:53.721227Z","title":"Distance transforms of sampled functions,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.721227Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:d02816eca1388f1c679aa1ba392558f61b561756c30939a67fa0c1f4cc6ca75a","observation_id":"8f8235d8-42a3-4efa-a3b0-b29a65a5f734","resolution":{"observed_at":"2026-08-06T18:05:53.721227Z","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":"2026-08-06T18:06:07.798719Z","title":"Improved updating of euclidean distance maps and voronoi diagrams,","venue":null,"work_id":"c0118130-a4e9-455e-9661-301ad8e52470","year":2010},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.756913Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:0b3923fd6a1f3455cbb5a2b3af141460796bfb335a6b9806c69d7ee953d145e6","observation_id":"35ca59a2-dfc7-4d9a-834d-c77f4d432c19","resolution":{"observed_at":"2026-08-06T18:06:07.900019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:53.796808Z","title":"V oxblox: Incremental 3d euclidean signed distance fields for on-board mav planning,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.796808Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:3c39df24067ab5c38eb17a10dc90e8aac7f7148a7188dc2d3c382ca17ce229c7","observation_id":"80617c86-2672-4bfc-8c59-e0aa1399a017","resolution":{"observed_at":"2026-08-06T18:05:53.796808Z","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":"2026-08-06T18:06:07.592047Z","title":"Fiesta: Fast incremental euclidean distance fields for online motion planning of aerial robots,","venue":null,"work_id":"f947e5da-af9e-4d93-a6d2-f1f459fbf148","year":2019},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.885779Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:040cd7022b3151dbddab86f5d3fc3a50263b191bd14b7defbffa45fcc0afb697","observation_id":"7ae477ce-711f-4cac-bad7-41b11cba05f4","resolution":{"observed_at":"2026-08-06T18:06:07.739763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:07.326869Z","title":"Gpu-accelerated incremental euclidean distance transform for online motion planning of mobile robots,","venue":null,"work_id":"443e11e6-7be6-44f5-8401-6b43600b607f","year":2022},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.922881Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:65e4574a070a8415e23ca1ca7860eeab830a6d15892ebb61afa20a369206d688","observation_id":"870ceb58-6820-45b7-9612-3320cef00cb0","resolution":{"observed_at":"2026-08-06T18:06:07.469935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:07.006530Z","title":"Sampling-free obstacle gradients and reactive planning in neural radiance fields,","venue":null,"work_id":"24b2db3a-ccc7-4d85-b431-dee113f6e5ed","year":2022},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.957255Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:82c60512e08aaba9b8b07ce5cd92e92f920d503435b74f985de228c1841afee6","observation_id":"330110d2-b73e-4032-b6d3-89aad69560bf","resolution":{"observed_at":"2026-08-06T18:06:07.149269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:06.727489Z","title":"Continuous-time trajectory optimization for online uav replan- ning,","venue":null,"work_id":"0e71ed55-2af0-46db-8bf1-ec873d24e484","year":2016},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:53.997295Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:6ec2982ad55a8f0f24657524cb7524e3a346ea69aa29f666c7c4f9db700d8108","observation_id":"ae9424bd-d422-465b-8b7f-d17a794651bc","resolution":{"observed_at":"2026-08-06T18:06:06.886333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:06.546362Z","title":"Faster: Fast and safe trajec- tory planner for flights in unknown environments,","venue":null,"work_id":"8ebb2110-5881-4a78-81ca-7a6003de874b","year":2019},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.041806Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:6926607b39d319f07fdbb645d513c3fb8077d2b308d60086de60f9561e2fdedc","observation_id":"acb8cea8-685a-475d-83d3-1c529eda4497","resolution":{"observed_at":"2026-08-06T18:06:06.602969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:06.411221Z","title":"6d slam—3d mapping outdoor environments,","venue":null,"work_id":"f61f898d-7ddd-4bb8-a6dd-960cecaef429","year":2007},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.082578Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:325d239dd6fd9314223f000d1349a8cbde4bd1088f65b61f78edf38136b7e50c","observation_id":"44c395b4-1df2-4a37-83d7-84819dc1d470","resolution":{"observed_at":"2026-08-06T18:06:06.540351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:06.182050Z","title":"Natural terrain classification using three-dimensional ladar data for ground robot mobility,","venue":null,"work_id":"c0f4cb8f-ae82-4177-9e12-c68277d41680","year":2006},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.139150Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:a4d2b247f5921f8445013175c03006be8b1bb41b53a7d9ef9de3439293b4e726","observation_id":"456596dc-7fc7-44fe-ac11-863f9886f951","resolution":{"observed_at":"2026-08-06T18:06:06.300516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:06.011110Z","title":"Autonomous rover navigation on unknown terrains: Func- tions and integration,","venue":null,"work_id":"b77d968e-86e1-461c-b9a0-6d1847e5cce9","year":2002},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.187925Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:4bb4db6da02bea4c7ab545e883cd121728ee150818c61aa75c2125321d2f4638","observation_id":"0a2a28a2-740a-4964-8124-c7c6c2ff5b60","resolution":{"observed_at":"2026-08-06T18:06:06.133517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:05.783127Z","title":"Multi-level surface maps for out- door terrain mapping and loop closing,","venue":null,"work_id":"c4b21f46-518d-4286-893b-be63789d15a3","year":2006},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.218484Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:d8985e5eb6d7ba95a79b4732ed9f947fa38f57f13ce29c0ad9dbc96b8b01ab62","observation_id":"4c54f286-aa72-475e-b1f3-71174debfd57","resolution":{"observed_at":"2026-08-06T18:06:05.891735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:05.605583Z","title":"Gaussian processes for machine learning,","venue":null,"work_id":"39451a96-14f7-4f27-92c8-d90fa026c1f0","year":2008},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.275386Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:9853d6e35e6bf3537f33da5d3e909316e6accba72183409e82b57b6a55d5e1c8","observation_id":"55ace542-ffb7-46cd-907a-cead7ce962d0","resolution":{"observed_at":"2026-08-06T18:06:05.675249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:05.466149Z","title":"Multiresolution representations for large- scale terrain with local gaussian process regression,","venue":null,"work_id":"20d2f8f0-1335-4f72-a079-d5ab5c34032b","year":2021},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.370781Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:a259cd21eaec6a0409ac8a36b7a967f5d4490dc67a88bd64ed4023cf62f65a86","observation_id":"8293236b-cbd4-45f4-8406-f15682113515","resolution":{"observed_at":"2026-08-06T18:06:05.499696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:05.291019Z","title":"A note on two problems in connexion with graphs,","venue":null,"work_id":"83b60b93-9066-435f-a1d7-d63e434f9d20","year":2022},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.437432Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:51f4eee37e0c053c2d4b0873583e9ca5e2e005ce0ca55e0bedc0efa083583c00","observation_id":"2309582b-8086-4c2b-83b7-4e23af03bb33","resolution":{"observed_at":"2026-08-06T18:06:05.355258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:54.507491Z","title":"A formal basis for the heuristic determination of minimum cost paths,","venue":null,"work_id":null,"year":1968},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.507491Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:ae85438537c17e6cda62a18d3a42c91567d690a323146e0ca5a934d48c39bbd6","observation_id":"9f303ec3-132e-45a4-b4ed-3d7e23cd5864","resolution":{"observed_at":"2026-08-06T18:05:54.507491Z","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":"2026-08-06T18:06:04.972934Z","title":"Anytime heuristic search,","venue":null,"work_id":"c4fa107e-6ac2-4d78-b9e5-e59366917d69","year":2007},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.544760Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:6cdadaf5baba3d013f9f87a3c4aa6fe43b727e0b6c2c3d166999ea240ba07514","observation_id":"29c53642-5c89-44bc-940d-bedfa8fff668","resolution":{"observed_at":"2026-08-06T18:06:05.139916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:04.648986Z","title":"Online graph pruning for pathfinding on grid maps,","venue":null,"work_id":"080a90d1-88a1-45d7-8905-8aff76e662e6","year":2011},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.631765Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:f16e1bef04f62d32092659310e186c75d187207b1f0d58d7235cd9bdc4e5993f","observation_id":"78221020-b48f-49b7-82a9-8b1faf9a76b5","resolution":{"observed_at":"2026-08-06T18:06:04.806245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:04.358148Z","title":"Path planning for autonomous vehicles in unknown semi-structured environments,","venue":null,"work_id":"ad5b281f-0204-4e1d-abe0-bc8bf583f1a9","year":2010},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.680771Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:ee6603d598f00ab966d2038c69f6d7bca8d0a1404dc2343dcb0261111c9dd705","observation_id":"7f167115-7a93-4a9e-91f5-6cfc21eb52e3","resolution":{"observed_at":"2026-08-06T18:06:04.493404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:04.127998Z","title":"Search-based motion planning for quadrotors using linear quadratic minimum time control,","venue":null,"work_id":"79d9848b-3809-4522-8595-49f265b07ec6","year":2017},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.793726Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:7af88cd659be5ec5f38b05d21b6bef3f935df7c0d65bb2e57ea4e72f3428c8df","observation_id":"47fdd5ae-078f-4c85-adf1-8400613a9606","resolution":{"observed_at":"2026-08-06T18:06:04.262825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:03.832838Z","title":"Apace: Agile and perception- aware trajectory generation for quadrotor flights,","venue":null,"work_id":"d40ec1be-8efa-4ba7-aa2c-1f8cfcfec2b8","year":2024},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.849932Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:9a56ae3bc1fc8d4d4a82686ec6cee8ee9e5aa3e5614b3beb02ac117fc4982e75","observation_id":"6f0a41e8-9917-4c2b-9e31-06fc4e54df7a","resolution":{"observed_at":"2026-08-06T18:06:03.997378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:03.557484Z","title":"Raptor: Robust and perception- aware trajectory replanning for quadrotor fast flight,","venue":null,"work_id":"7b4c12c7-d94a-4075-a6cf-a1cbccaf0188","year":1992},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.904098Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:0641e65174dd8ea60dbf32b23d6d9607bd4c38e6f47444ec91dfbe294f0f3739","observation_id":"4549b799-f8ca-4944-be7a-7b48d01d9661","resolution":{"observed_at":"2026-08-06T18:06:03.688639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:03.192939Z","title":"Learning-based 3d occupancy prediction for autonomous navigation in occluded envi- ronments,","venue":null,"work_id":"257c10cb-6b4f-4f8c-8f30-fb15978770a0","year":2021},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:54.989082Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:d5917535f1550ccc27f1194441932d2bfb12291c433b9495a92acb6bae82a81e","observation_id":"444ec113-d431-4518-ad17-6d67058fb3c0","resolution":{"observed_at":"2026-08-06T18:06:03.372896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:02.846366Z","title":"Learning perception- aware agile flight in cluttered environments,","venue":null,"work_id":"414890c8-2a07-490c-90cf-67c4cc7e1dad","year":2023},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.034887Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:882a01e35a15e5aa227a6f919f81b9355fb39943b83a3ccaddc1799903d078f9","observation_id":"f586857c-af8c-43d5-b2a6-52350e41aa0d","resolution":{"observed_at":"2026-08-06T18:06:03.037008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:02.562339Z","title":"Driving on point clouds: Motion planning, trajectory optimization, and terrain assessment in generic nonplanar environments,","venue":null,"work_id":"8ed44532-e22a-4a25-928b-6047947cec8b","year":2017},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.096961Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:d978a910bc08f8d0601277cdc7a1ceb4e201d6d784fd49e9156980d6e2464e95","observation_id":"e088e7ee-006e-4c24-86c4-834af212a9ef","resolution":{"observed_at":"2026-08-06T18:06:02.705115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:02.268360Z","title":"Putn: A plane-fitting based uneven terrain navigation framework,","venue":null,"work_id":"1558ae9a-6091-4ce3-a8ff-214fc3754113","year":2022},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.175051Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:266b20fd0a1bc65b5f7f4f2f05cf82d7cb76f298dad8ebb7eef88409b425eec9","observation_id":"773057e0-c451-4067-b5c4-2dbb86554bb5","resolution":{"observed_at":"2026-08-06T18:06:02.349196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:02.132694Z","title":"On variants of the johnson–lindenstrauss lemma,","venue":null,"work_id":"16926253-f83d-40fe-979d-e94d2273ef78","year":2008},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.198882Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:3dbe46c967c0f0dd8ebffadf9417d6bb4c8e205f090512ac5969ed30b7459dd7","observation_id":"5dec9e07-7d9a-40d1-85e7-e10624dc001d","resolution":{"observed_at":"2026-08-06T18:06:02.205003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:01.924745Z","title":"Dimensionality reduction via the johnson–lindenstrauss lemma: theoretical and empirical bounds,","venue":null,"work_id":"c5e4b7aa-dc6f-4b4a-a2b3-817943db0770","year":2018},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.274550Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:cf545504cd43ad9af992f0ad0fce170b783f4de3f506ce45b6afb05f4416fb0a","observation_id":"e8efb1ed-2d63-4e80-af7a-b4713aced7bb","resolution":{"observed_at":"2026-08-06T18:06:02.040237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:01.742795Z","title":"Nearly tight oblivious subspace embeddings by trace inequalities,","venue":null,"work_id":"85c89509-0f7f-42f6-a8d6-a7a3b7778a58","year":2016},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.337288Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:cfb8719c145997fd72572a748aabd3d1ce8b9cdc8a6369a7e198efa8c6028f9b","observation_id":"09e30811-64ad-47b3-b1e2-2fe41d9db1b6","resolution":{"observed_at":"2026-08-06T18:06:01.833187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:01.560096Z","title":"The fast johnson-lindenstrauss transform and approximate nearest neighbors,","venue":null,"work_id":"e52b1a1e-6965-4ad3-96cf-849b185ac5f1","year":2006},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.398228Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:3be411b2ad96417f583382c58aefa385d225b345fec5407485d81139f90b82de","observation_id":"c25bb420-467a-4320-9e33-a29ad1bf22e7","resolution":{"observed_at":"2026-08-06T18:06:01.643269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:01.356055Z","title":"Dense fast random projections and lean walsh transforms,","venue":null,"work_id":"47f67d59-e224-44ae-a45b-a14f40d353de","year":2008},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.475614Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:62e53b273307ec28f63c47cda6ca3bffa7c216f1b86cd9d4f082d84c0a67f6f0","observation_id":"ee814c21-f0d5-47ff-ab07-24aaaf3f3a21","resolution":{"observed_at":"2026-08-06T18:06:01.464632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:01.207782Z","title":"Decoupled weight decay regularization,","venue":null,"work_id":"be914d29-1eb9-4b09-b44b-2c56237fa24c","year":2019},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.501268Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:042eb7278b8a089313a2a38d60e01ada2a4d29e1d1ffc404a8ca5b12ae619c6b","observation_id":"0cbc6059-132b-48f6-8e41-bf72b03f379c","resolution":{"observed_at":"2026-08-06T18:06:01.292803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:01.038866Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":"cd34ed66-c96d-4db7-b1c3-0c18131055d6","year":2015},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.561224Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:70c2d9f12f367af43dde3902dbfc3576aa39cd2a9a8fdad7b14174b930cba15e","observation_id":"dbb35d09-773c-43f8-9b83-ba41dec026f8","resolution":{"observed_at":"2026-08-06T18:06:01.097927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:00.864907Z","title":"Linear regression with random projec- tions,","venue":null,"work_id":"a2e616ab-0eb6-4ab6-bf04-f3f349a42caf","year":2012},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.663532Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:e321d2acb1ff18dacc76f615280815cedc17f17286519be96052a0cef3c2dcc8","observation_id":"8f785190-f265-4c0f-a17a-c26c180bf81d","resolution":{"observed_at":"2026-08-06T18:06:00.933947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.14518","last_updated":"2024-07-03T20:27:39Z","snapshot_observed_at":"2026-07-06T18:49:10.964379Z","submitted_at":"2024-07-03T20:27:39Z","title":"Accurate Analysis of Sparse Random Projections","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.14518","snapshot_observed_at":"2026-08-06T18:05:55.699529Z","title":"Accurate analysis of sparse random projections,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.699529Z"},"links":{"cited_paper":"/paper/2407.14518","citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:27550aefa6c5caecf734967800e82e353ca0513363c63b64649ced80e311a91e","observation_id":"ba470d4e-b92a-46ce-a250-45d04afa3c55","resolution":{"observed_at":"2026-08-06T18:05:55.699529Z","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":"2026-08-06T18:06:00.673934Z","title":"The fast johnson–lindenstrauss transform and approximate nearest neighbors,","venue":null,"work_id":"bfe02559-b004-4e80-9ba7-dcbb9626ebf4","year":2009},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.751029Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:2a721c477b1c8b7a33b5a2c069e6d9b2c50437d956c483a93633211c1b4c2ab8","observation_id":"ffd0e963-b783-449a-91eb-e4f4b9b87e0d","resolution":{"observed_at":"2026-08-06T18:06:00.766263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:00.498196Z","title":"Low-rank approximation and regression in input sparsity time,","venue":null,"work_id":"47a4c673-a2fc-451a-a457-00a5c451e7b9","year":2013},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.808221Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:2018b2d6dc11adefed3cb3e7abd531b1bfe7c2163b5643c1832335b8cd9449ba","observation_id":"07a204b8-013a-468c-b17f-160ace541868","resolution":{"observed_at":"2026-08-06T18:06:00.566035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2311.10680","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:05:57.867459Z","title":"Optimal em- bedding dimension for sparse subspace embeddings,","venue":null,"work_id":"9c94aaba-23b1-4b3e-850c-5f5f2a9bf73d","year":2023},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.869211Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:f7e08bd5023fd5911624ab046302bca5140256c47f7c9f953a00c60f763e68f6","observation_id":"f2ec328a-5502-43f6-8b1a-d738c82e6681","resolution":{"observed_at":"2026-08-06T18:05:57.972213Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:00.330814Z","title":"Why are the residuals in Rn−p?","venue":null,"work_id":"ec754452-f957-47b0-a387-4cb73ae2abcf","year":2021},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.912656Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:d4daa471cc89ceba779b21d51bd70b9d839283931dabcacbf60dd5c051e5157c","observation_id":"8117b385-30d3-4351-8047-89e9d82b638a","resolution":{"observed_at":"2026-08-06T18:06:00.396300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:00.167643Z","title":"A useful variant of the davis– kahan theorem for statisticians,","venue":null,"work_id":"97b54145-ee38-474d-9037-c91c3d504d4e","year":2015},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:55.987435Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:52441170e78435cf41d1cdcda1ff2aeef6b3fef1b72c67092198b8ffa67069db","observation_id":"4a60e939-1d33-414e-b9c5-ef718082f5f3","resolution":{"observed_at":"2026-08-06T18:06:00.253931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:06:00.029506Z","title":"Notes on matrix perturbation and davis–kahan sin θ theo- rem,","venue":null,"work_id":"e5f7af90-c739-48f6-9900-29fb8180d18b","year":2016},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:56.043824Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:81c763b52625621cffee95c45fbb104a2f645cffe44b30de43dabb63e5bc295e","observation_id":"b9588b12-c5be-4ddb-a28f-cc19dd4c5c05","resolution":{"observed_at":"2026-08-06T18:06:00.107281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:59.873467Z","title":"Hanson–wright inequality and sub- gaussian concentration,","venue":null,"work_id":"c3b74b55-da5e-4385-b34c-fd1fad9ddaaf","year":2013},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:56.193261Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:7365ab2bb7490b68e79a028f9110adf79afc4b7f1b552a6f8f01e7266b4a1a82","observation_id":"05780ca7-4e22-4e66-9478-4ffe0c3effaf","resolution":{"observed_at":"2026-08-06T18:05:59.919417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:59.707898Z","title":"Feller, An Introduction to Probability Theory and Its Applications , 3rd ed","venue":null,"work_id":"45d5299d-22c4-4af3-ae9d-451cf524d2c6","year":1971},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:56.241581Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:bfaf1dc5039917c8b95ca5d25f09efa15e12f9292d6ab1bce4a34fff4f711406","observation_id":"3a7b15ba-e18e-434c-898a-d2f72a548c25","resolution":{"observed_at":"2026-08-06T18:05:59.781055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:56.326107Z","title":"Informed sam- pling for asymptotically optimal path planning,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:56.326107Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:f71aba555f5de7aae587550acd88712eb483cee09af116459755ef05fc7d9276","observation_id":"db0068b6-d44f-4f7f-a2ed-adef19066e61","resolution":{"observed_at":"2026-08-06T18:05:56.326107Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.05037","last_updated":"2021-04-11T15:46:56Z","snapshot_observed_at":"2026-08-03T10:38:24.466210Z","submitted_at":"2021-04-11T15:46:56Z","title":"Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning","version":1},"cited_work":{"arxiv_id":"2104.05037","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.05037","snapshot_observed_at":"2026-08-06T18:05:57.562894Z","title":"Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning","venue":"cs.RO","work_id":"75c02103-f5c1-401a-b9fc-8596bf5c9be4","year":2021},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:56.378272Z"},"links":{"cited_paper":"/paper/2104.05037","citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:10d7eada4702d3f56dff88e531095d8b67399c12d2fb5ce466ff937b10824599","observation_id":"81ce9a1f-11ba-4cb2-adf1-8aa8bc452dec","resolution":{"observed_at":"2026-08-06T18:05:57.651650Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:59.538492Z","title":"Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environ- ments,","venue":null,"work_id":"0679bf21-f7f2-464a-b52c-033572846fec","year":2015},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:56.457322Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:c8477fcc61ef943e9d617383f5b52cd31222a17e6e8a86ca961763b0cb3475dc","observation_id":"bb624546-cf7b-4f97-9461-620763b59f05","resolution":{"observed_at":"2026-08-06T18:05:59.629309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:59.377868Z","title":"Kinodynamic motion planning,","venue":null,"work_id":"e4029dba-c833-4dec-bf09-52efd30ad88a","year":1993},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:56.529246Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:186dc0bb6062f180ab777a8dfe728163f99803196f4369dd150faad525aa66bc","observation_id":"6ddb7177-21c0-4e9d-aa5d-787eae4ac11c","resolution":{"observed_at":"2026-08-06T18:05:59.476711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:59.218685Z","title":"Ego-planner: An esdf- free gradient-based local planner for quadrotors,","venue":null,"work_id":"f2c482d6-5ab3-481d-b4cc-78f2bc01f795","year":2020},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:56.656706Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:16aaeb3249ff72c608b617102055d9c3641669141a154f51e800aa80fc254bd7","observation_id":"aaf8a4ad-2d2a-43d5-91b0-72f3140b0605","resolution":{"observed_at":"2026-08-06T18:05:59.304691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:59.018879Z","title":"Faster: Fast and safe trajectory planner for navigation in unknown environments,","venue":null,"work_id":"a3f242c1-fa97-4192-a68e-97966c2952a2","year":2021},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:56.800826Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:2d47665e1655ff0b82c06264e446ad038fc3ace99d0d2eb33126f9d650a3cc5c","observation_id":"3ad47ee7-bf12-40e5-b840-febaea98afc7","resolution":{"observed_at":"2026-08-06T18:05:59.118056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:58.880091Z","title":"Autonomous uav exploration of dynamic environments via incremental sampling and probabilistic roadmap,","venue":null,"work_id":"4cf109e8-31d2-4290-b2b5-f054b4329b38","year":2021},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:56.876264Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:7ad5203c960784ff1b1e8ea5d0b7af7eb37061a3d86f40f4c0654b40a6584c43","observation_id":"f79e0e98-e258-4d8b-9970-e6fb7d2e1910","resolution":{"observed_at":"2026-08-06T18:05:58.923070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:58.694991Z","title":"Lecture notes on subspace embeddings and ose length preservation,","venue":null,"work_id":"9f3816bb-8e41-4506-981d-6bdc91222596","year":2020},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:57.024992Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:922259b664a72a193578a9bdfdd292688710c49d074bc1b779f89e0c8fd81e6b","observation_id":"a37f98dc-0feb-4e7f-b89d-adde57eae79a","resolution":{"observed_at":"2026-08-06T18:05:58.802345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:58.533492Z","title":"Johnson–lindenstrauss lemma and its applications,","venue":null,"work_id":"b73b8dcb-13f6-42f5-b969-3ec0b759e3f8","year":2009},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:57.118653Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:68d6c79c0399febe48a412eeaa8fc659c96c92f4b6e45b99c7454299f4635311","observation_id":"0d1a14be-e842-41e7-951e-d1070edb0681","resolution":{"observed_at":"2026-08-06T18:05:58.625207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:58.338908Z","title":"Notes on matrix perturbation and davis–kahan sin θ the- orem,","venue":null,"work_id":"1054ee85-3bd0-4a20-8815-ac0debc6a4ba","year":2016},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:57.210806Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:e5d9d54ee28e5c07eeb9278b9448432a4c4b67c0a60a7ce1e83e321324dfeec2","observation_id":"ab5a036f-23e8-4b17-9476-e2371306a994","resolution":{"observed_at":"2026-08-06T18:05:58.476233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:58.102085Z","title":"Why does ∥pW x∥ ≤ √ 2 sinθ ∥x∥ hold?","venue":null,"work_id":"fd6aa739-f69f-4b13-8377-0660e6710a29","year":2017},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:57.331647Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:27b9c0efcf4b1e68dac57259711f8f65997237a5b86eff8ae134fef4a9976de7","observation_id":"b909cd2f-334e-4a33-b99b-36c1b55ba373","resolution":{"observed_at":"2026-08-06T18:05:58.189194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T18:05:57.412149Z","title":"Sparse hanson–wright inequalities with applications,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T18:05:57.412149Z"},"links":{"citing_paper":"/paper/2507.09340"},"observation_digest":"sha256:ec7ab87688e2ecd73aa087d890153388e41d774712c7f98098e67d988bf05489","observation_id":"618dcd15-0ec9-4289-b466-f7af32235a5b","resolution":{"observed_at":"2026-08-06T18:05:57.412149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.09340","last_updated":"2025-08-07T08:10:42Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-06T17:55:54.989455Z","submitted_at":"2025-07-12T16:39:19Z","title":"Unified Linear Parametric Map Modeling and Perception-aware Trajectory Planning for Mobile Robotics"},"reference_resolution":{"displayed":78,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":2,"verified_fuzzy":70},"total_outbound_references":78},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2507.09340."}