{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:RTMFQ4O7CURAKZNOJPY2YHZFZA","short_pith_number":"pith:RTMFQ4O7","schema_version":"1.0","canonical_sha256":"8cd85871df15220565ae4bf1ac1f25c810a1cb00b2e9d2dfa953cc518794872b","source":{"kind":"arxiv","id":"2206.04513","version":1},"attestation_state":"computed","paper":{"title":"AAM-Gym: Artificial Intelligence Testbed for Advanced Air Mobility","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.AI","authors_text":"Ian Jessen, Kara Breeden, Luis E. Alvarez, Marc Brittain","submitted_at":"2022-06-09T13:57:10Z","abstract_excerpt":"We introduce AAM-Gym, a research and development testbed for Advanced Air Mobility (AAM). AAM has the potential to revolutionize travel by reducing ground traffic and emissions by leveraging new types of aircraft such as electric vertical take-off and landing (eVTOL) aircraft and new advanced artificial intelligence (AI) algorithms. Validation of AI algorithms require representative AAM scenarios, as well as a fast time simulation testbed to evaluate their performance. Until now, there has been no such testbed available for AAM to enable a common research platform for individuals in government"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2206.04513","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-06-09T13:57:10Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"ad8f32d34ac9f36742dbb709fb4c424bcf245b565fa576e6b80cc08725e1eaed","abstract_canon_sha256":"a4b79323156141a8a5a0f148fe0062cdd33f59366a384c29915f8b9a720bf4bb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:30:34.574716Z","signature_b64":"JQIGVDjyRULrDs9HAk9bCyl7mTvigbyQ/wHiiKHrK+mL7Lc8GZh0XNJ5s+WMnTMyQuYNVo+ROTj/aZeisBniCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8cd85871df15220565ae4bf1ac1f25c810a1cb00b2e9d2dfa953cc518794872b","last_reissued_at":"2026-07-05T04:30:34.574310Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:30:34.574310Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AAM-Gym: Artificial Intelligence Testbed for Advanced Air Mobility","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.AI","authors_text":"Ian Jessen, Kara Breeden, Luis E. Alvarez, Marc Brittain","submitted_at":"2022-06-09T13:57:10Z","abstract_excerpt":"We introduce AAM-Gym, a research and development testbed for Advanced Air Mobility (AAM). AAM has the potential to revolutionize travel by reducing ground traffic and emissions by leveraging new types of aircraft such as electric vertical take-off and landing (eVTOL) aircraft and new advanced artificial intelligence (AI) algorithms. Validation of AI algorithms require representative AAM scenarios, as well as a fast time simulation testbed to evaluate their performance. Until now, there has been no such testbed available for AAM to enable a common research platform for individuals in government"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.04513","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2206.04513/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2206.04513","created_at":"2026-07-05T04:30:34.574374+00:00"},{"alias_kind":"arxiv_version","alias_value":"2206.04513v1","created_at":"2026-07-05T04:30:34.574374+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.04513","created_at":"2026-07-05T04:30:34.574374+00:00"},{"alias_kind":"pith_short_12","alias_value":"RTMFQ4O7CURA","created_at":"2026-07-05T04:30:34.574374+00:00"},{"alias_kind":"pith_short_16","alias_value":"RTMFQ4O7CURAKZNO","created_at":"2026-07-05T04:30:34.574374+00:00"},{"alias_kind":"pith_short_8","alias_value":"RTMFQ4O7","created_at":"2026-07-05T04:30:34.574374+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/RTMFQ4O7CURAKZNOJPY2YHZFZA","json":"https://pith.science/pith/RTMFQ4O7CURAKZNOJPY2YHZFZA.json","graph_json":"https://pith.science/api/pith-number/RTMFQ4O7CURAKZNOJPY2YHZFZA/graph.json","events_json":"https://pith.science/api/pith-number/RTMFQ4O7CURAKZNOJPY2YHZFZA/events.json","paper":"https://pith.science/paper/RTMFQ4O7"},"agent_actions":{"view_html":"https://pith.science/pith/RTMFQ4O7CURAKZNOJPY2YHZFZA","download_json":"https://pith.science/pith/RTMFQ4O7CURAKZNOJPY2YHZFZA.json","view_paper":"https://pith.science/paper/RTMFQ4O7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2206.04513&json=true","fetch_graph":"https://pith.science/api/pith-number/RTMFQ4O7CURAKZNOJPY2YHZFZA/graph.json","fetch_events":"https://pith.science/api/pith-number/RTMFQ4O7CURAKZNOJPY2YHZFZA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RTMFQ4O7CURAKZNOJPY2YHZFZA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RTMFQ4O7CURAKZNOJPY2YHZFZA/action/storage_attestation","attest_author":"https://pith.science/pith/RTMFQ4O7CURAKZNOJPY2YHZFZA/action/author_attestation","sign_citation":"https://pith.science/pith/RTMFQ4O7CURAKZNOJPY2YHZFZA/action/citation_signature","submit_replication":"https://pith.science/pith/RTMFQ4O7CURAKZNOJPY2YHZFZA/action/replication_record"}},"created_at":"2026-07-05T04:30:34.574374+00:00","updated_at":"2026-07-05T04:30:34.574374+00:00"}