{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:2MLC35UTNK66O4LIC6J7GS7P4R","short_pith_number":"pith:2MLC35UT","canonical_record":{"source":{"id":"2605.23812","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-05-22T16:15:25Z","cross_cats_sorted":[],"title_canon_sha256":"757400680c495ee8ee1640a08e30b3d5680610a49e7f6d6d2f106f791ed464b6","abstract_canon_sha256":"66c30f40b26cf058e4fcdb35c760f05f79f279d4e99bb7f6eb32ab2b77c67eef"},"schema_version":"1.0"},"canonical_sha256":"d3162df6936abde771681793f34befe477461d483f32efe0b89e4ba46f3b7b7d","source":{"kind":"arxiv","id":"2605.23812","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23812","created_at":"2026-05-25T02:02:33Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23812v1","created_at":"2026-05-25T02:02:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23812","created_at":"2026-05-25T02:02:33Z"},{"alias_kind":"pith_short_12","alias_value":"2MLC35UTNK66","created_at":"2026-05-25T02:02:33Z"},{"alias_kind":"pith_short_16","alias_value":"2MLC35UTNK66O4LI","created_at":"2026-05-25T02:02:33Z"},{"alias_kind":"pith_short_8","alias_value":"2MLC35UT","created_at":"2026-05-25T02:02:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:2MLC35UTNK66O4LIC6J7GS7P4R","target":"record","payload":{"canonical_record":{"source":{"id":"2605.23812","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-05-22T16:15:25Z","cross_cats_sorted":[],"title_canon_sha256":"757400680c495ee8ee1640a08e30b3d5680610a49e7f6d6d2f106f791ed464b6","abstract_canon_sha256":"66c30f40b26cf058e4fcdb35c760f05f79f279d4e99bb7f6eb32ab2b77c67eef"},"schema_version":"1.0"},"canonical_sha256":"d3162df6936abde771681793f34befe477461d483f32efe0b89e4ba46f3b7b7d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-25T02:02:33.578934Z","signature_b64":"91sV0ql1LNcceQeqA/gPwt1Mnp4Llywlv9RqQqGTdJELeWtY2ANoHlNdhEi/OXkrAUOP2pjyhbU488bKMOWFAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3162df6936abde771681793f34befe477461d483f32efe0b89e4ba46f3b7b7d","last_reissued_at":"2026-05-25T02:02:33.578148Z","signature_status":"signed_v1","first_computed_at":"2026-05-25T02:02:33.578148Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.23812","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":"2026-05-25T02:02:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xBRvOebFzHCZzj3mMhcE8ZdtZG5S1M8QhzmNbO7pO1QPf8O3+lZy2Nlthmx1otUtJghpa0Iv3xKLA1nNSpUrBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T22:16:43.037571Z"},"content_sha256":"86a0a53e73b754f33d988bd168aaa61721fdcd8f0e8838a599fd7db7e877cdda","schema_version":"1.0","event_id":"sha256:86a0a53e73b754f33d988bd168aaa61721fdcd8f0e8838a599fd7db7e877cdda"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:2MLC35UTNK66O4LIC6J7GS7P4R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Ensemble Variational approach for High-Dimensional Open-Loop Flow Control","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"Jean-Camille Chassaing, Matthieu Queguineur, Riccardo Maranelli, Taraneh Sayadi, Vincent Mons","submitted_at":"2026-05-22T16:15:25Z","abstract_excerpt":"Designing effective optimisation strategies for unsteady flows in the presence of complex dynamics is challenging. Gradient-based optimisation algorithms that rely on gradient information obtained from adjoint equations are efficient for high-dimensional control problems such as those considered here. However, they can be prone to numerical sensitivities when the underlying physics is complex, i.e. when it is highly nonlinear, non-differentiable and chaotic. This work proposes an ensemble-variational (EnVar) framework, which provides a non-intrusive alternative to classical, adjoint-based appr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23812","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/2605.23812/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":"2026-05-25T02:02:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9wTb429ak8hq2JLcgneN5mSAgz/tjDpdcv0JNsw6C+pm2DO56um2BAexVfHdan27sGs6lIhACyMpITfUuxMMAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T22:16:43.038019Z"},"content_sha256":"f6c35747ef40a2e00c1977bc1c91f5732d71b0dc0af1156bcc2cb3bdc6f3ddf8","schema_version":"1.0","event_id":"sha256:f6c35747ef40a2e00c1977bc1c91f5732d71b0dc0af1156bcc2cb3bdc6f3ddf8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2MLC35UTNK66O4LIC6J7GS7P4R/bundle.json","state_url":"https://pith.science/pith/2MLC35UTNK66O4LIC6J7GS7P4R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2MLC35UTNK66O4LIC6J7GS7P4R/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":"2026-05-27T22:16:43Z","links":{"resolver":"https://pith.science/pith/2MLC35UTNK66O4LIC6J7GS7P4R","bundle":"https://pith.science/pith/2MLC35UTNK66O4LIC6J7GS7P4R/bundle.json","state":"https://pith.science/pith/2MLC35UTNK66O4LIC6J7GS7P4R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2MLC35UTNK66O4LIC6J7GS7P4R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2MLC35UTNK66O4LIC6J7GS7P4R","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":"66c30f40b26cf058e4fcdb35c760f05f79f279d4e99bb7f6eb32ab2b77c67eef","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-05-22T16:15:25Z","title_canon_sha256":"757400680c495ee8ee1640a08e30b3d5680610a49e7f6d6d2f106f791ed464b6"},"schema_version":"1.0","source":{"id":"2605.23812","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23812","created_at":"2026-05-25T02:02:33Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23812v1","created_at":"2026-05-25T02:02:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23812","created_at":"2026-05-25T02:02:33Z"},{"alias_kind":"pith_short_12","alias_value":"2MLC35UTNK66","created_at":"2026-05-25T02:02:33Z"},{"alias_kind":"pith_short_16","alias_value":"2MLC35UTNK66O4LI","created_at":"2026-05-25T02:02:33Z"},{"alias_kind":"pith_short_8","alias_value":"2MLC35UT","created_at":"2026-05-25T02:02:33Z"}],"graph_snapshots":[{"event_id":"sha256:f6c35747ef40a2e00c1977bc1c91f5732d71b0dc0af1156bcc2cb3bdc6f3ddf8","target":"graph","created_at":"2026-05-25T02:02:33Z","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/2605.23812/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Designing effective optimisation strategies for unsteady flows in the presence of complex dynamics is challenging. Gradient-based optimisation algorithms that rely on gradient information obtained from adjoint equations are efficient for high-dimensional control problems such as those considered here. However, they can be prone to numerical sensitivities when the underlying physics is complex, i.e. when it is highly nonlinear, non-differentiable and chaotic. This work proposes an ensemble-variational (EnVar) framework, which provides a non-intrusive alternative to classical, adjoint-based appr","authors_text":"Jean-Camille Chassaing, Matthieu Queguineur, Riccardo Maranelli, Taraneh Sayadi, Vincent Mons","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-05-22T16:15:25Z","title":"An Ensemble Variational approach for High-Dimensional Open-Loop Flow Control"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23812","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":"sha256:86a0a53e73b754f33d988bd168aaa61721fdcd8f0e8838a599fd7db7e877cdda","target":"record","created_at":"2026-05-25T02:02:33Z","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":"66c30f40b26cf058e4fcdb35c760f05f79f279d4e99bb7f6eb32ab2b77c67eef","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-05-22T16:15:25Z","title_canon_sha256":"757400680c495ee8ee1640a08e30b3d5680610a49e7f6d6d2f106f791ed464b6"},"schema_version":"1.0","source":{"id":"2605.23812","kind":"arxiv","version":1}},"canonical_sha256":"d3162df6936abde771681793f34befe477461d483f32efe0b89e4ba46f3b7b7d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d3162df6936abde771681793f34befe477461d483f32efe0b89e4ba46f3b7b7d","first_computed_at":"2026-05-25T02:02:33.578148Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:02:33.578148Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"91sV0ql1LNcceQeqA/gPwt1Mnp4Llywlv9RqQqGTdJELeWtY2ANoHlNdhEi/OXkrAUOP2pjyhbU488bKMOWFAQ==","signature_status":"signed_v1","signed_at":"2026-05-25T02:02:33.578934Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.23812","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:86a0a53e73b754f33d988bd168aaa61721fdcd8f0e8838a599fd7db7e877cdda","sha256:f6c35747ef40a2e00c1977bc1c91f5732d71b0dc0af1156bcc2cb3bdc6f3ddf8"],"state_sha256":"52d0e4c500944d0be631375c09ce201d8ef1157f69f6be319fae44eaf9c65fb9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HpEvkuFWvnFnc7I3r2Lkz+g+6U27pppghsHaXdET7YsejpMP2UuO3YpeKscv+DqXB+dI/mZZF4Hy+vIHISSGDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T22:16:43.041518Z","bundle_sha256":"8e79e957d0a1eb37a1f4a66c665300faf91b9b8b92621491273a2ed3cdd5c9a6"}}