{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2J5FYPAN2N7EBT6P2XGJZC5JQY","short_pith_number":"pith:2J5FYPAN","canonical_record":{"source":{"id":"2501.03445","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-07T00:15:04Z","cross_cats_sorted":[],"title_canon_sha256":"e49ca2158454f7c25bd1ee3201a8c5a5babc957ae772194e11502a166587b54d","abstract_canon_sha256":"f3ab903e89e3fefea1acbc1fd792a817cd1bc176d8aa3580d642e9f0b8555e08"},"schema_version":"1.0"},"canonical_sha256":"d27a5c3c0dd37e40cfcfd5cc9c8ba9861134ad5c4b8ac555ddb51177fc193dc0","source":{"kind":"arxiv","id":"2501.03445","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.03445","created_at":"2026-07-05T09:57:54Z"},{"alias_kind":"arxiv_version","alias_value":"2501.03445v1","created_at":"2026-07-05T09:57:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.03445","created_at":"2026-07-05T09:57:54Z"},{"alias_kind":"pith_short_12","alias_value":"2J5FYPAN2N7E","created_at":"2026-07-05T09:57:54Z"},{"alias_kind":"pith_short_16","alias_value":"2J5FYPAN2N7EBT6P","created_at":"2026-07-05T09:57:54Z"},{"alias_kind":"pith_short_8","alias_value":"2J5FYPAN","created_at":"2026-07-05T09:57:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2J5FYPAN2N7EBT6P2XGJZC5JQY","target":"record","payload":{"canonical_record":{"source":{"id":"2501.03445","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-07T00:15:04Z","cross_cats_sorted":[],"title_canon_sha256":"e49ca2158454f7c25bd1ee3201a8c5a5babc957ae772194e11502a166587b54d","abstract_canon_sha256":"f3ab903e89e3fefea1acbc1fd792a817cd1bc176d8aa3580d642e9f0b8555e08"},"schema_version":"1.0"},"canonical_sha256":"d27a5c3c0dd37e40cfcfd5cc9c8ba9861134ad5c4b8ac555ddb51177fc193dc0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:57:54.867344Z","signature_b64":"FWEc2Mh4JmA9witrD54mRZulJPDsV2QAn/kyvB5N2TYfGztiDH/PyvHsz1uqu+RhXdgnQ4RHgMlr0zZ9RFmWDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d27a5c3c0dd37e40cfcfd5cc9c8ba9861134ad5c4b8ac555ddb51177fc193dc0","last_reissued_at":"2026-07-05T09:57:54.866861Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:57:54.866861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.03445","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:57:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"odniCzVqjhz7QcNLs8wNj/jRJr0+wxt1Dgi4vIMqOy9dFKgxMv7cTtd8K79gj9MaFiEyMjs97Yoh3LITtsAYAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T13:52:30.740942Z"},"content_sha256":"c4b669f26576b90eadd687e93e644210db74d089473817f36ff308a4d4172185","schema_version":"1.0","event_id":"sha256:c4b669f26576b90eadd687e93e644210db74d089473817f36ff308a4d4172185"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2J5FYPAN2N7EBT6P2XGJZC5JQY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Samuel Sisk, Xiaosong Du","submitted_at":"2025-01-07T00:15:04Z","abstract_excerpt":"To aid urban air mobility (UAM), electric vertical takeoff and landing (eVTOL) aircraft are being targeted. Conventional multidisciplinary analysis and optimization (MDAO) can be expensive, while surrogate-based optimization can struggle with challenging physical constraints. This work proposes physics-constrained generative adversarial networks (physicsGAN), to intelligently parameterize the takeoff control profiles of an eVTOL aircraft and to transform the original design space to a feasible space. Specifically, the transformed feasible space refers to a space where all designs directly sati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.03445","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/2501.03445/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:57:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oA/NuL0G4QWplVleVxPboYMYUmY1PfXO5jVXgQMthhQ5ZbNmRZQf7k7A+Afh25TbfT9PssnbBvXwXtqhMCtrBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T13:52:30.752641Z"},"content_sha256":"29b6e1b242a7c020d127ddbaf8e42d1a88a0a38c6d7e06080675f81f45705f21","schema_version":"1.0","event_id":"sha256:29b6e1b242a7c020d127ddbaf8e42d1a88a0a38c6d7e06080675f81f45705f21"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2J5FYPAN2N7EBT6P2XGJZC5JQY/bundle.json","state_url":"https://pith.science/pith/2J5FYPAN2N7EBT6P2XGJZC5JQY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2J5FYPAN2N7EBT6P2XGJZC5JQY/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-13T13:52:30Z","links":{"resolver":"https://pith.science/pith/2J5FYPAN2N7EBT6P2XGJZC5JQY","bundle":"https://pith.science/pith/2J5FYPAN2N7EBT6P2XGJZC5JQY/bundle.json","state":"https://pith.science/pith/2J5FYPAN2N7EBT6P2XGJZC5JQY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2J5FYPAN2N7EBT6P2XGJZC5JQY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2J5FYPAN2N7EBT6P2XGJZC5JQY","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"f3ab903e89e3fefea1acbc1fd792a817cd1bc176d8aa3580d642e9f0b8555e08","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-07T00:15:04Z","title_canon_sha256":"e49ca2158454f7c25bd1ee3201a8c5a5babc957ae772194e11502a166587b54d"},"schema_version":"1.0","source":{"id":"2501.03445","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.03445","created_at":"2026-07-05T09:57:54Z"},{"alias_kind":"arxiv_version","alias_value":"2501.03445v1","created_at":"2026-07-05T09:57:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.03445","created_at":"2026-07-05T09:57:54Z"},{"alias_kind":"pith_short_12","alias_value":"2J5FYPAN2N7E","created_at":"2026-07-05T09:57:54Z"},{"alias_kind":"pith_short_16","alias_value":"2J5FYPAN2N7EBT6P","created_at":"2026-07-05T09:57:54Z"},{"alias_kind":"pith_short_8","alias_value":"2J5FYPAN","created_at":"2026-07-05T09:57:54Z"}],"graph_snapshots":[{"event_id":"sha256:29b6e1b242a7c020d127ddbaf8e42d1a88a0a38c6d7e06080675f81f45705f21","target":"graph","created_at":"2026-07-05T09:57:54Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2501.03445/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To aid urban air mobility (UAM), electric vertical takeoff and landing (eVTOL) aircraft are being targeted. Conventional multidisciplinary analysis and optimization (MDAO) can be expensive, while surrogate-based optimization can struggle with challenging physical constraints. This work proposes physics-constrained generative adversarial networks (physicsGAN), to intelligently parameterize the takeoff control profiles of an eVTOL aircraft and to transform the original design space to a feasible space. Specifically, the transformed feasible space refers to a space where all designs directly sati","authors_text":"Samuel Sisk, Xiaosong Du","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-07T00:15:04Z","title":"Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.03445","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:c4b669f26576b90eadd687e93e644210db74d089473817f36ff308a4d4172185","target":"record","created_at":"2026-07-05T09:57:54Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"f3ab903e89e3fefea1acbc1fd792a817cd1bc176d8aa3580d642e9f0b8555e08","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-07T00:15:04Z","title_canon_sha256":"e49ca2158454f7c25bd1ee3201a8c5a5babc957ae772194e11502a166587b54d"},"schema_version":"1.0","source":{"id":"2501.03445","kind":"arxiv","version":1}},"canonical_sha256":"d27a5c3c0dd37e40cfcfd5cc9c8ba9861134ad5c4b8ac555ddb51177fc193dc0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d27a5c3c0dd37e40cfcfd5cc9c8ba9861134ad5c4b8ac555ddb51177fc193dc0","first_computed_at":"2026-07-05T09:57:54.866861Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:57:54.866861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FWEc2Mh4JmA9witrD54mRZulJPDsV2QAn/kyvB5N2TYfGztiDH/PyvHsz1uqu+RhXdgnQ4RHgMlr0zZ9RFmWDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:57:54.867344Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.03445","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c4b669f26576b90eadd687e93e644210db74d089473817f36ff308a4d4172185","sha256:29b6e1b242a7c020d127ddbaf8e42d1a88a0a38c6d7e06080675f81f45705f21"],"state_sha256":"6d249129ae6c8792780baa04c16768e0d96c6ead767db0481fea68a7649fee8f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K3o1/zBWIkPwXN+8JYN9nkP+lQFefSjV+zNQHBh2JPN+sYnkMzFXcds8Y2wTLDCgeH1Y2FaFTxVpSGw7Dc2aAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T13:52:30.903668Z","bundle_sha256":"d875cba432dabaf654047cce74cbfe7210c54f12a8c985dd834cc904b4e876e4"}}