{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:WI3E77FF5WCPBH3JYBGR2JQEBC","short_pith_number":"pith:WI3E77FF","canonical_record":{"source":{"id":"2605.23354","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2026-05-22T08:20:53Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"90b47954a5656bd310ae2a90e96fb25f24097d1a721baba2662e50b525b75b16","abstract_canon_sha256":"e3d9d9700c8820858e88a766eb589078091d1a4db753413a4805734c4da05621"},"schema_version":"1.0"},"canonical_sha256":"b2364ffca5ed84f09f69c04d1d26040895181908994cb0201d62aeb8f9194874","source":{"kind":"arxiv","id":"2605.23354","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23354","created_at":"2026-05-25T02:01:50Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23354v1","created_at":"2026-05-25T02:01:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23354","created_at":"2026-05-25T02:01:50Z"},{"alias_kind":"pith_short_12","alias_value":"WI3E77FF5WCP","created_at":"2026-05-25T02:01:50Z"},{"alias_kind":"pith_short_16","alias_value":"WI3E77FF5WCPBH3J","created_at":"2026-05-25T02:01:50Z"},{"alias_kind":"pith_short_8","alias_value":"WI3E77FF","created_at":"2026-05-25T02:01:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:WI3E77FF5WCPBH3JYBGR2JQEBC","target":"record","payload":{"canonical_record":{"source":{"id":"2605.23354","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2026-05-22T08:20:53Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"90b47954a5656bd310ae2a90e96fb25f24097d1a721baba2662e50b525b75b16","abstract_canon_sha256":"e3d9d9700c8820858e88a766eb589078091d1a4db753413a4805734c4da05621"},"schema_version":"1.0"},"canonical_sha256":"b2364ffca5ed84f09f69c04d1d26040895181908994cb0201d62aeb8f9194874","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-25T02:01:50.437713Z","signature_b64":"gQSVd6Q0YHG98nNXy5am0lQWVDcPiGkbGzdMQFZ6dEbfAOjXMY2fSH6w3cRIqQYRJf480iUalcrF0911eC4CDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2364ffca5ed84f09f69c04d1d26040895181908994cb0201d62aeb8f9194874","last_reissued_at":"2026-05-25T02:01:50.437069Z","signature_status":"signed_v1","first_computed_at":"2026-05-25T02:01:50.437069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.23354","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":"2026-05-25T02:01:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z/tiGjtW8siMcpcF8T8HlJ6DC2IsmivWqfAKdEBfL4BEnDJjbJsB4PRoSIxQooqme7URKOs9nuEaFAe+i7iGCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T01:44:39.572528Z"},"content_sha256":"d0aa841c14704746642dbcb5336f027cedf8e7437894504ec83f84a5a49e376f","schema_version":"1.0","event_id":"sha256:d0aa841c14704746642dbcb5336f027cedf8e7437894504ec83f84a5a49e376f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:WI3E77FF5WCPBH3JYBGR2JQEBC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Physics-informed sparse identification-based tube model predictive control for aerial vehicles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Lijie You, Tayyab Manzoor, Yan Wang, Yasir Ali, Yuanqing Xia","submitted_at":"2026-05-22T08:20:53Z","abstract_excerpt":"Autonomous aerial vehicles necessitate control strategies that balance computational efficiency with robust performance in dynamic operational environments. This paper proposes a model predictive control (MPC) framework for aerial platforms that leverages physics-informed machine learning (PIML) to achieve an optimal balance between computational tractability and robust performance. At the core of the proposed approach lies a sparse, control-affine model identified via the PIML method, which provides a parsimonious yet interpretable representation of the system dynamics by embedding first-prin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23354","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/2605.23354/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":"2026-05-25T02:01:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vjdvmprhXLPfMRXb8EERUWrEOIh6Ej5ak+je4sJjY3/JHvgX1GlQAW23iciZ5/Fzuh+yqVxxPsAQ6QYcKioACw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T01:44:39.572922Z"},"content_sha256":"446039d049982793a46e4712f9ba1f0729e5924d824399e1ee2681eb3b466585","schema_version":"1.0","event_id":"sha256:446039d049982793a46e4712f9ba1f0729e5924d824399e1ee2681eb3b466585"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WI3E77FF5WCPBH3JYBGR2JQEBC/bundle.json","state_url":"https://pith.science/pith/WI3E77FF5WCPBH3JYBGR2JQEBC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WI3E77FF5WCPBH3JYBGR2JQEBC/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":"2026-06-02T01:44:39Z","links":{"resolver":"https://pith.science/pith/WI3E77FF5WCPBH3JYBGR2JQEBC","bundle":"https://pith.science/pith/WI3E77FF5WCPBH3JYBGR2JQEBC/bundle.json","state":"https://pith.science/pith/WI3E77FF5WCPBH3JYBGR2JQEBC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WI3E77FF5WCPBH3JYBGR2JQEBC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WI3E77FF5WCPBH3JYBGR2JQEBC","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":"e3d9d9700c8820858e88a766eb589078091d1a4db753413a4805734c4da05621","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2026-05-22T08:20:53Z","title_canon_sha256":"90b47954a5656bd310ae2a90e96fb25f24097d1a721baba2662e50b525b75b16"},"schema_version":"1.0","source":{"id":"2605.23354","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23354","created_at":"2026-05-25T02:01:50Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23354v1","created_at":"2026-05-25T02:01:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23354","created_at":"2026-05-25T02:01:50Z"},{"alias_kind":"pith_short_12","alias_value":"WI3E77FF5WCP","created_at":"2026-05-25T02:01:50Z"},{"alias_kind":"pith_short_16","alias_value":"WI3E77FF5WCPBH3J","created_at":"2026-05-25T02:01:50Z"},{"alias_kind":"pith_short_8","alias_value":"WI3E77FF","created_at":"2026-05-25T02:01:50Z"}],"graph_snapshots":[{"event_id":"sha256:446039d049982793a46e4712f9ba1f0729e5924d824399e1ee2681eb3b466585","target":"graph","created_at":"2026-05-25T02:01:50Z","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/2605.23354/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous aerial vehicles necessitate control strategies that balance computational efficiency with robust performance in dynamic operational environments. This paper proposes a model predictive control (MPC) framework for aerial platforms that leverages physics-informed machine learning (PIML) to achieve an optimal balance between computational tractability and robust performance. At the core of the proposed approach lies a sparse, control-affine model identified via the PIML method, which provides a parsimonious yet interpretable representation of the system dynamics by embedding first-prin","authors_text":"Lijie You, Tayyab Manzoor, Yan Wang, Yasir Ali, Yuanqing Xia","cross_cats":["cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2026-05-22T08:20:53Z","title":"Physics-informed sparse identification-based tube model predictive control for aerial vehicles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23354","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:d0aa841c14704746642dbcb5336f027cedf8e7437894504ec83f84a5a49e376f","target":"record","created_at":"2026-05-25T02:01:50Z","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":"e3d9d9700c8820858e88a766eb589078091d1a4db753413a4805734c4da05621","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2026-05-22T08:20:53Z","title_canon_sha256":"90b47954a5656bd310ae2a90e96fb25f24097d1a721baba2662e50b525b75b16"},"schema_version":"1.0","source":{"id":"2605.23354","kind":"arxiv","version":1}},"canonical_sha256":"b2364ffca5ed84f09f69c04d1d26040895181908994cb0201d62aeb8f9194874","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2364ffca5ed84f09f69c04d1d26040895181908994cb0201d62aeb8f9194874","first_computed_at":"2026-05-25T02:01:50.437069Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:01:50.437069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gQSVd6Q0YHG98nNXy5am0lQWVDcPiGkbGzdMQFZ6dEbfAOjXMY2fSH6w3cRIqQYRJf480iUalcrF0911eC4CDA==","signature_status":"signed_v1","signed_at":"2026-05-25T02:01:50.437713Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.23354","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d0aa841c14704746642dbcb5336f027cedf8e7437894504ec83f84a5a49e376f","sha256:446039d049982793a46e4712f9ba1f0729e5924d824399e1ee2681eb3b466585"],"state_sha256":"27882c82a224ede7919393f6958135fb5da89433ed4337f5b6a2b4098ac0688b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"frJLoR3BqstYsyNtoL1DB+T9E67/7qWZ2sbIN3rwe4e1fQRJ16mkVwC8yppAG0mIvH9h9riZ8GjSb4vNUIQTDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T01:44:39.574971Z","bundle_sha256":"a7d630928e8dad92ad2b32eb00042e9dc337c7bf6ab8262d5da4df0d9cb75e70"}}