{"as_of":"2026-08-18T01:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8c5f3bd6cd752e6594912be71ffb7f00239a9b8433935f08e88c692e1f9de781","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T22:19:28.321846Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2508.07163/citation-record","integrity":"/paper/2508.07163/integrity","json":"/paper/2508.07163/citation-record.json","paper":"/paper/2508.07163"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:19:29.013270Z","title":"Neurosymbolic reinforcement learning and planning: A survey","venue":null,"work_id":"0de66b0d-6d14-450f-90aa-625215c34ad6","year":2023},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.154547Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:f3ee7b85a69310bdf0347116bc0fc99cf22df20870b188248a9ce4a56fadb7f8","observation_id":"6c98013e-90e5-4929-abfd-8434a8a2520f","resolution":{"observed_at":"2026-08-05T22:19:29.016659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.994420Z","title":"Transforming healthcare delivery with advanced air mobility: A rural study with gis-based optimization","venue":null,"work_id":"4f7a64f0-8977-4b09-9137-9d5646b3b6b2","year":2024},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.169282Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:da8385e068d2a6bb4b5acd68cdd3eb6ad31a0fc5af2d50b310a1bf61b7b6ff12","observation_id":"f5b30d08-8f08-46b9-a7d2-c0ec237ec073","resolution":{"observed_at":"2026-08-05T22:19:28.997733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.974883Z","title":"A reinforcement learning approach to vehicle coordination for structured advanced air mo- bility","venue":null,"work_id":"453e6141-7967-4c2d-a4a0-ff54f2e04e96","year":2024},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.177600Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:899a069e3efe6e4a830ada4c8930550fa9cee785f8a83b4c003f8b6987dd1444","observation_id":"08a3018c-e08a-48cf-91f3-8ac56ac54ead","resolution":{"observed_at":"2026-08-05T22:19:28.978165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.965071Z","title":"Cellular connectivity for ad- vanced air mobility: Use cases and beamforming ap- proaches","venue":null,"work_id":"5d318df5-5ea4-4f8d-9eed-8a02477e7083","year":2024},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.181181Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:16aba27c9ad100bfff9ab55307f0fa200b2fe989c208dca05d67a1091885ef40","observation_id":"91e67d41-b229-417f-a133-750f090a92b1","resolution":{"observed_at":"2026-08-05T22:19:28.968575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.955914Z","title":"Power electronic converters in electric aircraft: Current status, challenges, and emerg- ing technologies","venue":null,"work_id":"370b91fc-6fcc-4427-ae66-6be54f7603ce","year":2020},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.184461Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:0392acd7b8a7fbc454f90de5915139741e2cbccc372dcac3a01974a536fd0e16","observation_id":"39f402d3-e88c-4d07-a35b-192649766fcd","resolution":{"observed_at":"2026-08-05T22:19:28.959088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.923603Z","title":"Bias and discrimi- nation in ai: a cross-disciplinary perspective","venue":null,"work_id":"945a532f-a2cc-49e6-b1b4-04fb03e92035","year":2021},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.194848Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:1a6f38a69b26de62c4c159363094278864b1b1db1db7cb9a82e944258c499cca","observation_id":"6a9142ca-57f1-409a-b28e-5c4edaac9333","resolution":{"observed_at":"2026-08-05T22:19:28.927834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.913840Z","title":"Neurosymbolic ai: The 3 rd wave","venue":null,"work_id":"6ce5900f-a6aa-4c51-96e5-0045555f2b57","year":2023},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.198320Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:32e2e9a56edb21f8dc5527af080ae5a48705b45cc5f785b41c80d32c0e56d3ca","observation_id":"bf25c41c-0b07-4bb9-acba-dd37739ae2da","resolution":{"observed_at":"2026-08-05T22:19:28.916954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.903794Z","title":"Neuro-symbolic reasoning in the traffic domain","venue":null,"work_id":"b3633382-ae6d-4eaf-afa6-7c9ecdf8bf9f","year":2021},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.201499Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:e7f133c7fcbb4a37a6a216fd800c0d2ef73b1f3a57ab24b4bb391ccbd261762e","observation_id":"4e6300f3-2165-4fa4-8aa0-a113786e015b","resolution":{"observed_at":"2026-08-05T22:19:28.907147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.892086Z","title":"Advanced air mobility: Opportunities and challenges de- ploying evtols for air ambulance service.Applied Sciences, 12(3):1183,","venue":null,"work_id":"2c203613-06d5-47b7-be5e-4b0a41adf0c6","year":2022},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.205035Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:e39189d463228ad847bbde6ccb26ec9798ef1bf8e6a113dbb2d87edba251c961","observation_id":"b14ba779-247f-43b8-83cd-6fce30393f0e","resolution":{"observed_at":"2026-08-05T22:19:28.895952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.881548Z","title":"Advanced air mobility: Demand analysis and market potential of the airport shuttle and air taxi markets","venue":null,"work_id":"1f98007a-2c72-4ec1-aeb5-45987e5a094e","year":2021},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.208404Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:f1e2d6d50483956502084c45fb6e20b4c22fe6caee0f39b9ef2d9ba7b4251b5a","observation_id":"927ede10-e722-46ec-a527-8d5e52a36b73","resolution":{"observed_at":"2026-08-05T22:19:28.885039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.871994Z","title":"On the use of neurosymbolic ai for defending against cyber attacks","venue":null,"work_id":"b0a504c2-f9c8-4ba4-b2b7-f7d94a79c87d","year":2024},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.212686Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:2889d5d7b5378ddccee1f15f1efc17c89f41b95bcb4de1a44cfa24bfd76c5986","observation_id":"ac1c0bf7-3ade-4950-baaf-ccf687fb3fef","resolution":{"observed_at":"2026-08-05T22:19:28.875425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.862741Z","title":"V2v uas communications and use cases for advanced air mobility","venue":null,"work_id":"8aa2f8ca-8089-4697-a054-2317248f022b","year":2024},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.216437Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:b17ec6c79f820db8b30c07a8ac6e34a84edf57370ed6be88e6313d20676f46aa","observation_id":"7b2c9789-0aef-4ea3-a26f-f4e857ac49fe","resolution":{"observed_at":"2026-08-05T22:19:28.865821Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.852182Z","title":"Neuro-symbolic ai for military applica- tions","venue":null,"work_id":"3931d6ae-4b56-4aa3-83da-955d3a7a074e","year":2024},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.220994Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:a7054020349ee0a3b85e16b3b9de76d690d24b6ee81d81d766ae45ab5d723e47","observation_id":"618a2944-f2b1-4452-9f4e-73f134ed92e9","resolution":{"observed_at":"2026-08-05T22:19:28.855542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.842701Z","title":"Uam vision concept of operations (conops) uam maturity level (uml)","venue":null,"work_id":"d795a571-6e60-4030-9110-a0640455c72c","year":2020},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.224572Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:7f4b40bf038b8732ba30e7e3ff29d7a278f94908cb14cd95072235c6ac786333","observation_id":"bf5d90b9-9111-4b65-9fa1-06116f9942af","resolution":{"observed_at":"2026-08-05T22:19:28.845980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.833296Z","title":null,"venue":null,"work_id":"cf722119-e319-4bc7-88a8-6251987b614e","year":2023},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.228865Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:0c2b40a2fcd04360f2a2ec7223550620d35249ab05fe23acfcb6368ba19b5fcd","observation_id":"3c0968e5-ef79-47b9-adac-a8d477f9e290","resolution":{"observed_at":"2026-08-05T22:19:28.836226Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.813243Z","title":"Nasa concept vehicles and the engineering of advanced air mo- bility aircraft","venue":null,"work_id":"99906cae-bc8b-4059-ba96-d43618c091e8","year":2022},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.236558Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:f298bb1cd8f648887368ff0ad6e04249236edd508f85724c7d2c44d230df08fa","observation_id":"aba3b8b0-d7a5-459e-8556-0bcd6087bb2e","resolution":{"observed_at":"2026-08-05T22:19:28.816568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06749","last_updated":"2024-05-16T14:24:37Z","snapshot_observed_at":"2026-08-16T13:53:39.458879Z","submitted_at":"2024-05-10T18:06:41Z","title":"Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation","version":2},"cited_work":{"arxiv_id":"2405.06749","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.06749","snapshot_observed_at":"2026-08-05T22:19:28.561889Z","title":"Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation","venue":"cs.CV","work_id":"a056461d-a221-465b-b49b-2a12ca8f6ae6","year":2024},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.239739Z"},"links":{"cited_paper":"/paper/2405.06749","citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:53b83f47de8b67314fa83a504597caf05612133b7677155dab9861c97e84c781","observation_id":"c32f2608-eb45-4ad4-a635-c7b83b881f07","resolution":{"observed_at":"2026-08-05T22:19:28.568045Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.803048Z","title":"The third ai summer: Aaai robert s","venue":null,"work_id":"044491fa-ac2f-4195-aa25-5cc6860e3b2b","year":2022},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.243869Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:af3dc0d44c36008a97352d93e027b797143bf41bd2e8585320d9012e00eb94fa","observation_id":"ef9ff7df-6dcc-4992-9732-8ee3f1f591b9","resolution":{"observed_at":"2026-08-05T22:19:28.806781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.793086Z","title":"Advanced sensor technologies in cavs for traditional and smart road condition monitoring: A review","venue":null,"work_id":"022c6de3-06e9-4b9d-b71f-c50d191eb957","year":2024},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.247364Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:9b37ea7724d3e996376fb44829fc15ca26c2a8edc9cfab1315d2b4f276147ec7","observation_id":"1084589d-cab3-4b64-9c59-3fc80a044aa8","resolution":{"observed_at":"2026-08-05T22:19:28.796454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.782991Z","title":"A holistic review of the current state of research on air- craft design concepts and consideration for advanced air mobility applications","venue":null,"work_id":"8c43e6eb-16f9-476a-add9-50131f80cfb0","year":2023},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.250416Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:eb92c24b36a45563ddb8e0efde266d5518797c679bf013429c0b38ab56495dd0","observation_id":"d894f749-143d-4d10-9103-185a198de5f3","resolution":{"observed_at":"2026-08-05T22:19:28.786197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.02363","last_updated":"2021-03-03T12:34:59Z","snapshot_observed_at":"2026-08-16T18:41:34.349639Z","submitted_at":"2021-03-03T12:34:59Z","title":"Reinforcement Learning with External Knowledge by using Logical Neural Networks","version":1},"cited_work":{"arxiv_id":"2103.02363","doi":null,"metadata_source":"pith","pith_arxiv_id":"2103.02363","snapshot_observed_at":"2026-08-05T22:19:28.544833Z","title":"Reinforcement Learning with External Knowledge by using Logical Neural Networks","venue":"cs.AI","work_id":"69bdc2e1-1928-4008-81da-278f3cf8bcee","year":2021},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.254701Z"},"links":{"cited_paper":"/paper/2103.02363","citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:1e3a7a3d5973077ff6dd3b7595b19239f401f727fb22e2dc35129946e545bb97","observation_id":"dbbe5d6f-2a1e-4c81-8230-85f86c9b5def","resolution":{"observed_at":"2026-08-05T22:19:28.548630Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2501.01439","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:19:28.525055Z","title":"Probabilistic mission design in neuro-symbolic systems","venue":null,"work_id":"a0bfd895-f616-4d13-ac62-8ffc90085d65","year":2024},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.259106Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:0714f532a37f713231913a1a1d97f0ec71034557a9177c00757fac2855fa7f4f","observation_id":"811fe8ae-5e5c-4af2-9a8b-582331f872f3","resolution":{"observed_at":"2026-08-05T22:19:28.532052Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.772444Z","title":"Demand analysis in urban air mobility: A literature review","venue":null,"work_id":"ebcaa49e-7130-4f8e-9f39-e2ade128bc24","year":2023},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.262547Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:d02a62a0fcf7a98a471dc595c59fe3347a23d2a2a9eb043e0465df9d125dbe51","observation_id":"d62daa17-8535-47d4-9fd2-26756801f121","resolution":{"observed_at":"2026-08-05T22:19:28.776067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.12584","last_updated":"2019-04-26T06:50:54Z","snapshot_observed_at":"2026-08-14T16:41:07.492381Z","submitted_at":"2019-04-26T06:50:54Z","title":"The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.12584","snapshot_observed_at":"2026-08-05T22:19:28.265461Z","title":"The neuro- symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.265461Z"},"links":{"cited_paper":"/paper/1904.12584","citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:da053c357cd1ce815f50f8df4c890e280830eb985cb462c241ca3ca17c9d6319","observation_id":"4b59df2a-666c-4fa7-9f47-a66331af2832","resolution":{"observed_at":"2026-08-05T22:19:28.265461Z","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":"2026-08-05T22:19:28.750710Z","title":"Digital twin approach for integrated airspace management with applications to advanced air mobility services","venue":null,"work_id":"e210ba3e-73e5-4b8d-8cc7-94ac4b2f25fa","year":2023},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.272501Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:72c3c910bcb0a4498ad0287a83ea9592c034af618b9692063a0aff4b37b433db","observation_id":"ccf430e7-f0bb-4b26-a17d-53fd196cc909","resolution":{"observed_at":"2026-08-05T22:19:28.754748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.740752Z","title":"In-time Aviation Safety Management: Challenges and Research for an Evolving Aviation System","venue":null,"work_id":"124030b6-885d-42fc-a2d7-e8c9474173f6","year":2018},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.275872Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:bb75cbd699d4b79ffdba8432a47f0affb9ce243a400575530579672809745438","observation_id":"27c4df52-8903-432c-b289-46d0bc69ac79","resolution":{"observed_at":"2026-08-05T22:19:28.743949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.720504Z","title":"Accountability in artificial intel- ligence: what it is and how it works","venue":null,"work_id":"923c9821-bac8-43a0-b83c-ea97c9651a1c","year":2024},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.283356Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:e788097bd17e052a92eb2564de6897de8c49853b28275d21450a95e476ae91c1","observation_id":"c19965bc-be3e-45c3-b7d6-a49d0d46a2f4","resolution":{"observed_at":"2026-08-05T22:19:28.724912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.710386Z","title":"Potential cyberattacks on automated vehicles","venue":null,"work_id":"cfd53b2b-f66b-45bf-8ee4-4fdc09bb2232","year":2014},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.286776Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:7998d7d84cf168cd7eff931d00e477644b8b7e3bb3eb6fdc640686ae46a45edc","observation_id":"086c3ed1-b789-48b4-8235-932b1d9505e5","resolution":{"observed_at":"2026-08-05T22:19:28.714110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.688567Z","title":"Urban air mobility community noise test plan- ning","venue":null,"work_id":"a282ff7e-ab1a-4ed1-96db-fa1fbcfc276d","year":2022},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.293308Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:06644cb59602ea0ff9205534eda4878e2f46c6570f0e96661a76c9551930f103","observation_id":"21adb21b-e447-4e82-a92e-cd76434742ec","resolution":{"observed_at":"2026-08-05T22:19:28.691875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2307.01316","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:19:28.428753Z","title":"Towards safe autonomous driving policies using a neuro-symbolic deep reinforcement learning ap- proach","venue":null,"work_id":"f4bb4745-5cbc-4116-8ecb-989fa8af3b8d","year":2023},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.296678Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:ce76f0c7afc7824d0d454d4c6687b3ff79c4bf60d028b6760d6ad970875c6520","observation_id":"7e5640a8-b0cc-4060-b6fb-6755f78d4461","resolution":{"observed_at":"2026-08-05T22:19:28.438284Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.677861Z","title":"Vtol urban air mobility concept vehicles for technology development","venue":null,"work_id":"3d5ad1ba-6668-4d7e-8383-c17bf04f329c","year":2018},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.300483Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:5a3a1205fa7a82c2288028910b5c9d98f9b566ba334f80aeaf1676830fde7177","observation_id":"32840759-45a4-4b48-92f0-265d26c22e95","resolution":{"observed_at":"2026-08-05T22:19:28.681565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.667769Z","title":"Interaction with industrial digital twin us- ing neuro-symbolic reasoning","venue":null,"work_id":"6f9e2429-a7fc-4b3d-9e74-3e962f217158","year":2023},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.303925Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:5efffc279508ba6e5b87cecfef8305c841bb9ea714fc43ed11068388b7da4bd1","observation_id":"5d79a8f2-39f4-4d64-92aa-af2950d05d36","resolution":{"observed_at":"2026-08-05T22:19:28.670974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.656149Z","title":"A data & reasoning fabric to en- able advanced air mobility","venue":null,"work_id":"9951cbeb-cc89-40c1-9f6a-998df1b2d36c","year":2021},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.307263Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:403d754f4aacf6f4adf35b00839418e7748e3bc5e2f81937496704fc4782493c","observation_id":"6839d60b-d25c-4ebc-9ac0-5fc986979971","resolution":{"observed_at":"2026-08-05T22:19:28.659786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.645237Z","title":"Towards data-and knowledge-driven ai: a survey on neuro- symbolic computing","venue":null,"work_id":"355ec11d-769d-40fd-bc8f-b4478b774c14","year":2024},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.310596Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:6166a4d0626c929491ab16bc91e76a0a84b5714b126af856d9e191a9b1bbc499","observation_id":"4c4c93f0-3881-4de6-adef-a1cd688d7572","resolution":{"observed_at":"2026-08-05T22:19:28.648930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.633852Z","title":"Optimized fault diagnosis based on fmea-style cbr and bn for embedded software system","venue":null,"work_id":"73470942-231e-4412-aa40-5be08b3f064a","year":2018},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.314520Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:1387feaaf29e77d899fc819e65a361cb5975aecce735c9f19672a331b8114b00","observation_id":"aba8e191-18d6-476e-92ed-d339ec070242","resolution":{"observed_at":"2026-08-05T22:19:28.638015Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.622007Z","title":"Risk perceptions using urban and advanced air mobility (uam/aam) by applying a mixed method approach","venue":null,"work_id":"551bf3d1-71fa-4c3b-9e32-21e3ccf993f3","year":2022},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.318223Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:6d48c40775dab8ba111034e5d2a937d4078024a5517f3f9e4caa55378efb16ab","observation_id":"de310990-de6a-4a2f-9432-c30c10a28042","resolution":{"observed_at":"2026-08-05T22:19:28.625922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.609842Z","title":"A survey on neural-symbolic learn- ing systems","venue":null,"work_id":"fea2b2e3-4e01-481a-95bb-131cd53cfba8","year":2023},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.321846Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:53dd0458b98d4cd2b26b1df8640c52fc82257fc6bb51601a8c97143e6a3ad6c1","observation_id":"2b1d22d4-da7e-4a2e-8f23-c653e9ac51eb","resolution":{"observed_at":"2026-08-05T22:19:28.614128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.699424Z","title":"Addressing the emer- gence of drones–a policy development framework for regional drone transportation systems","venue":null,"work_id":"d054df9f-5428-4d47-9f1d-4cdb21274255","year":2023},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.290203Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:655a6dd13d1613d4e5386605af7521029d7e5601d010eefe120cba8e6a99b3a4","observation_id":"af1d6475-5916-45e2-8b53-b9e1eea5b72a","resolution":{"observed_at":"2026-08-05T22:19:28.703256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.731386Z","title":"Artificial-intelligence-based maintenance decision-making and optimization for multi- state component systems","venue":null,"work_id":"c0bdfeda-339b-457a-9a8b-0bb1dd9d91df","year":2022},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.279428Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:ee9b9eec69da42a2d6a7bcf5547284fb8506af1ba6fc8dfa86c5f8235749adfd","observation_id":"474e0ab5-ae66-4b94-9a2e-e74036c01cd9","resolution":{"observed_at":"2026-08-05T22:19:28.734775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.760631Z","title":"Characterizing performance tradeoffs from air traffic man- agement services for advanced air mobility","venue":null,"work_id":"165b0690-15c7-486e-abf4-95b5a78823c2","year":2024},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.269143Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:01ddf99d9b2a7c99090146e292deae77dcccf91c60b53a69bb3170f58c373dfd","observation_id":"2b4b0a36-43f2-4c8d-8ffd-16e4f2a9ea3a","resolution":{"observed_at":"2026-08-05T22:19:28.764449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.945343Z","title":"Benefits of advanced air mobility for society and environment: A case study of ohio","venue":null,"work_id":"00f86023-9ad7-414a-bdc3-7d798f77970f","year":2021},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.187771Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:666996647b0a0d2b4140e94d1d73fdb14166407f11edaeca7454adbbd0dcf8a3","observation_id":"1ea2e629-b034-4f30-826a-f6ae89d54567","resolution":{"observed_at":"2026-08-05T22:19:28.948528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.934761Z","title":"In-time system-wide safety assurance (issa) concept of operations and design considerations for urban air mobility (uam)","venue":null,"work_id":"ca5e3c71-3a23-47e9-a12c-353891e9212c","year":2020},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.191207Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:306e52871549f7a1e76402613e8b78d36bab4e239a147d937eaa49bbe173c5e9","observation_id":"df87ebdd-d5ac-4eb5-84eb-f6ce9c505879","resolution":{"observed_at":"2026-08-05T22:19:28.938652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.17805","last_updated":"2025-01-29T17:47:36Z","snapshot_observed_at":"2026-08-15T14:15:35.328292Z","submitted_at":"2025-01-29T17:47:36Z","title":"International AI Safety Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.17805","snapshot_observed_at":"2026-08-05T22:19:28.165408Z","title":"International ai safety report","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.165408Z"},"links":{"cited_paper":"/paper/2501.17805","citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:a7c2e3be41d1f3bd7e6a09fafde643e94f02337521cf6afdc8d64d75680fce04","observation_id":"9db419bf-d04f-487b-b8b8-b06c13cbd47e","resolution":{"observed_at":"2026-08-05T22:19:28.165408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01680","last_updated":"2025-02-02T05:10:31Z","snapshot_observed_at":"2026-08-09T18:06:03.285259Z","submitted_at":"2025-02-02T05:10:31Z","title":"Neurosymbolic AI for Travel Demand Prediction: Integrating Decision Tree Rules into Neural Networks","version":1},"cited_work":{"arxiv_id":"2502.01680","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.01680","snapshot_observed_at":"2026-08-05T22:19:28.592847Z","title":"Neurosymbolic AI for Travel Demand Prediction: Integrating Decision Tree Rules into Neural Networks","venue":"cs.LG","work_id":"8de1dda6-0099-4bb9-8bcc-3cc1b65a80f7","year":2025},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.158394Z"},"links":{"cited_paper":"/paper/2502.01680","citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:9f25db1dc78b70afacb42a0f8c1099c23d20651186db7523a1ab33fdebcdd98b","observation_id":"526b7e7f-6dd6-4ff6-abe4-bbd539cbc7f5","resolution":{"observed_at":"2026-08-05T22:19:28.600575Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.984428Z","title":"Advanced air mobility: Opportunities, challenges, and research needsfor the state of california (2023-2030)","venue":null,"work_id":"9c1affc6-8eb3-4512-9c59-8f235ca1a40b","year":2024},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.173241Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:d49fd4e509da6172982de904321df9084220bc05b885d245ac29a5fdca9f5093","observation_id":"3a3e3746-d0fa-4697-b6e6-c6727520f832","resolution":{"observed_at":"2026-08-05T22:19:28.987743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:29.003854Z","title":"Next-generation avia- tion li-ion battery technologies—enabling electrified air- craft","venue":null,"work_id":"9315eecb-6ae2-46b2-a1f5-374ea0bd1098","year":2022},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.162027Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:589a1576435c2f12ff9df3fc749bbc83f7344b12c19e16ae563fe31950c49ea8","observation_id":"8a52a6d5-938a-49d2-9adc-7f0c0da19c7c","resolution":{"observed_at":"2026-08-05T22:19:29.007348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T22:19:28.823160Z","title":"Safe re- inforcement learning using probabilistic shields","venue":null,"work_id":"61894d54-9229-4457-a54c-13e88911da22","year":2020},"citing_paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey","version":1},"reference_index":7586,"source":"pdf_text","source_observed_at":"2026-08-05T22:19:28.232605Z"},"links":{"citing_paper":"/paper/2508.07163"},"observation_digest":"sha256:8e700922f1338769cdf0772dc7b225b16b91993818d3f0f18425df431f82e24d","observation_id":"92314df0-b5ff-478f-b808-ea3d69a1eaa0","resolution":{"observed_at":"2026-08-05T22:19:28.826984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.07163","last_updated":"2025-08-10T03:30:06Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-17T05:34:18.632663Z","submitted_at":"2025-08-10T03:30:06Z","title":"Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":5,"verified_fuzzy":39},"total_outbound_references":47},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2508.07163."}