{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7RAM3MHLWQG4JPLYKUPAIYJ6U6","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":"99d697fc909b936d59f0c857e62f29cf7780a4cda258dbfcb1b3a964f63c8a89","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2024-09-06T22:28:30Z","title_canon_sha256":"1bca1ce17a44b81470ae6be6edcbeede1f23cfa93d64bfe94cd56126885792dd"},"schema_version":"1.0","source":{"id":"2409.04644","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.04644","created_at":"2026-07-05T09:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"2409.04644v3","created_at":"2026-07-05T09:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.04644","created_at":"2026-07-05T09:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"7RAM3MHLWQG4","created_at":"2026-07-05T09:17:47Z"},{"alias_kind":"pith_short_16","alias_value":"7RAM3MHLWQG4JPLY","created_at":"2026-07-05T09:17:47Z"},{"alias_kind":"pith_short_8","alias_value":"7RAM3MHL","created_at":"2026-07-05T09:17:47Z"}],"graph_snapshots":[{"event_id":"sha256:abed6c487715115c7c48ac7da6b9a20c361284973ec092ad8b56b1b2e1546d16","target":"graph","created_at":"2026-07-05T09:17:47Z","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/2409.04644/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a novel second-order trajectory optimization algorithm based on Stein Variational Newton's Method and Maximum Entropy Differential Dynamic Programming. The proposed algorithm, called Stein Variational Differential Dynamic Programming, is a kernel-based extension of Maximum Entropy Differential Dynamic Programming that combines the best of the two worlds of sampling-based and gradient-based optimization. The resulting algorithm avoids known drawbacks of gradient-based dynamic optimization in terms of getting stuck to local minima, while it overcomes limitations of sampling-based stoc","authors_text":"Evangelos A. Theodorou, Peter Lehmamnn, Yuichiro Aoyama","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2024-09-06T22:28:30Z","title":"Second-Order Stein Variational Dynamic Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.04644","kind":"arxiv","version":3},"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:d5d81af5170840b0fca460f7d4a2fad24fa76bcc100ccd9f34bea973faaea6d1","target":"record","created_at":"2026-07-05T09:17:47Z","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":"99d697fc909b936d59f0c857e62f29cf7780a4cda258dbfcb1b3a964f63c8a89","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2024-09-06T22:28:30Z","title_canon_sha256":"1bca1ce17a44b81470ae6be6edcbeede1f23cfa93d64bfe94cd56126885792dd"},"schema_version":"1.0","source":{"id":"2409.04644","kind":"arxiv","version":3}},"canonical_sha256":"fc40cdb0ebb40dc4bd78551e04613ea7a24c3ea2c5106c6198c0b68fa6fab02f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc40cdb0ebb40dc4bd78551e04613ea7a24c3ea2c5106c6198c0b68fa6fab02f","first_computed_at":"2026-07-05T09:17:47.828309Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:17:47.828309Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OyzRQr6VwmP5LIr5OHyOajasduibLFrNcWW+eZ0egx5AwVRZaKxR2hq14lJLSmnluT8cbXly5f8lYFEIBwBeBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:17:47.828748Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.04644","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5d81af5170840b0fca460f7d4a2fad24fa76bcc100ccd9f34bea973faaea6d1","sha256:abed6c487715115c7c48ac7da6b9a20c361284973ec092ad8b56b1b2e1546d16"],"state_sha256":"903a0e067d89655ba9adacabe732c081f13611fb4f1921257031337faf185743"}