{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:67IDP6SL2P2352X2RDZ65QBXEU","short_pith_number":"pith:67IDP6SL","canonical_record":{"source":{"id":"2210.12018","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"math.OC","submitted_at":"2022-10-21T15:04:35Z","cross_cats_sorted":[],"title_canon_sha256":"389040fe9413b8b17108e96e4a895e46102eb606e8645297dff24209313c520c","abstract_canon_sha256":"58adf4d63de1a41f67bc0d8d923de2aef16ae2e7ac4a8f90217c783750fcd818"},"schema_version":"1.0"},"canonical_sha256":"f7d037fa4bd3f5beeafa88f3eec037250d76b8747863ff56ca6c9954c829cbc3","source":{"kind":"arxiv","id":"2210.12018","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.12018","created_at":"2026-07-05T05:45:34Z"},{"alias_kind":"arxiv_version","alias_value":"2210.12018v5","created_at":"2026-07-05T05:45:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.12018","created_at":"2026-07-05T05:45:34Z"},{"alias_kind":"pith_short_12","alias_value":"67IDP6SL2P23","created_at":"2026-07-05T05:45:34Z"},{"alias_kind":"pith_short_16","alias_value":"67IDP6SL2P2352X2","created_at":"2026-07-05T05:45:34Z"},{"alias_kind":"pith_short_8","alias_value":"67IDP6SL","created_at":"2026-07-05T05:45:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:67IDP6SL2P2352X2RDZ65QBXEU","target":"record","payload":{"canonical_record":{"source":{"id":"2210.12018","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"math.OC","submitted_at":"2022-10-21T15:04:35Z","cross_cats_sorted":[],"title_canon_sha256":"389040fe9413b8b17108e96e4a895e46102eb606e8645297dff24209313c520c","abstract_canon_sha256":"58adf4d63de1a41f67bc0d8d923de2aef16ae2e7ac4a8f90217c783750fcd818"},"schema_version":"1.0"},"canonical_sha256":"f7d037fa4bd3f5beeafa88f3eec037250d76b8747863ff56ca6c9954c829cbc3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:45:34.091696Z","signature_b64":"nC2TdYDtfMnvObjGarct9Pxvl5XRQwx4aHucaIwwrdfUcIAmkVH+bBNq3Z+ZjKFpRfJDFqv+jBVOg/ICB6JrAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7d037fa4bd3f5beeafa88f3eec037250d76b8747863ff56ca6c9954c829cbc3","last_reissued_at":"2026-07-05T05:45:34.091202Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:45:34.091202Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.12018","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:45:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KN1XYKdlRSkeClXiCvvYn8bOA0VTu3EB4HJzrXZAtvohGDPojMic07b98JpzoA+XlqDBVBVtTFYo648D3M58Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T00:58:38.305236Z"},"content_sha256":"cbef3ba1dda8ecc60c783c5e94ffc19bd59ffd2a6a6e735f05b1b811713acd81","schema_version":"1.0","event_id":"sha256:cbef3ba1dda8ecc60c783c5e94ffc19bd59ffd2a6a6e735f05b1b811713acd81"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:67IDP6SL2P2352X2RDZ65QBXEU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Model-Based Derivative-Free Optimization Methods and Software","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Tom M. Ragonneau","submitted_at":"2022-10-21T15:04:35Z","abstract_excerpt":"This thesis studies derivative-free optimization (DFO), particularly model-based methods and software. These methods are motivated by optimization problems for which it is impossible or prohibitively expensive to access the first-order information of the objective function and possibly the constraint functions.\n  In particular, this thesis presents PDFO, a package we develop to provide both MATLAB and Python interfaces to Powell's model-based DFO solvers, namely COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. Moreover, a significant part of this thesis is devoted to developing a new DFO method bas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.12018","kind":"arxiv","version":5},"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/2210.12018/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":"2026-07-05T05:45:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KT0VzFPzpz2H5nXOkQY46wVSSgoYR7Lp7JcXRg3zk3aJHiC4gJ6X3UVbA/v1krGP0ZFP/hM2mHuBsozicpW7BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T00:58:38.305627Z"},"content_sha256":"d07f41a42321b819033ba68eda1612e227fc9d5b4a274ebee9dc365e2cb3d2a8","schema_version":"1.0","event_id":"sha256:d07f41a42321b819033ba68eda1612e227fc9d5b4a274ebee9dc365e2cb3d2a8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/67IDP6SL2P2352X2RDZ65QBXEU/bundle.json","state_url":"https://pith.science/pith/67IDP6SL2P2352X2RDZ65QBXEU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/67IDP6SL2P2352X2RDZ65QBXEU/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":"2026-08-23T00:58:38Z","links":{"resolver":"https://pith.science/pith/67IDP6SL2P2352X2RDZ65QBXEU","bundle":"https://pith.science/pith/67IDP6SL2P2352X2RDZ65QBXEU/bundle.json","state":"https://pith.science/pith/67IDP6SL2P2352X2RDZ65QBXEU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/67IDP6SL2P2352X2RDZ65QBXEU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:67IDP6SL2P2352X2RDZ65QBXEU","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":"58adf4d63de1a41f67bc0d8d923de2aef16ae2e7ac4a8f90217c783750fcd818","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"math.OC","submitted_at":"2022-10-21T15:04:35Z","title_canon_sha256":"389040fe9413b8b17108e96e4a895e46102eb606e8645297dff24209313c520c"},"schema_version":"1.0","source":{"id":"2210.12018","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.12018","created_at":"2026-07-05T05:45:34Z"},{"alias_kind":"arxiv_version","alias_value":"2210.12018v5","created_at":"2026-07-05T05:45:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.12018","created_at":"2026-07-05T05:45:34Z"},{"alias_kind":"pith_short_12","alias_value":"67IDP6SL2P23","created_at":"2026-07-05T05:45:34Z"},{"alias_kind":"pith_short_16","alias_value":"67IDP6SL2P2352X2","created_at":"2026-07-05T05:45:34Z"},{"alias_kind":"pith_short_8","alias_value":"67IDP6SL","created_at":"2026-07-05T05:45:34Z"}],"graph_snapshots":[{"event_id":"sha256:d07f41a42321b819033ba68eda1612e227fc9d5b4a274ebee9dc365e2cb3d2a8","target":"graph","created_at":"2026-07-05T05:45:34Z","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/2210.12018/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This thesis studies derivative-free optimization (DFO), particularly model-based methods and software. These methods are motivated by optimization problems for which it is impossible or prohibitively expensive to access the first-order information of the objective function and possibly the constraint functions.\n  In particular, this thesis presents PDFO, a package we develop to provide both MATLAB and Python interfaces to Powell's model-based DFO solvers, namely COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. Moreover, a significant part of this thesis is devoted to developing a new DFO method bas","authors_text":"Tom M. Ragonneau","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"math.OC","submitted_at":"2022-10-21T15:04:35Z","title":"Model-Based Derivative-Free Optimization Methods and Software"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.12018","kind":"arxiv","version":5},"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:cbef3ba1dda8ecc60c783c5e94ffc19bd59ffd2a6a6e735f05b1b811713acd81","target":"record","created_at":"2026-07-05T05:45:34Z","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":"58adf4d63de1a41f67bc0d8d923de2aef16ae2e7ac4a8f90217c783750fcd818","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"math.OC","submitted_at":"2022-10-21T15:04:35Z","title_canon_sha256":"389040fe9413b8b17108e96e4a895e46102eb606e8645297dff24209313c520c"},"schema_version":"1.0","source":{"id":"2210.12018","kind":"arxiv","version":5}},"canonical_sha256":"f7d037fa4bd3f5beeafa88f3eec037250d76b8747863ff56ca6c9954c829cbc3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7d037fa4bd3f5beeafa88f3eec037250d76b8747863ff56ca6c9954c829cbc3","first_computed_at":"2026-07-05T05:45:34.091202Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:45:34.091202Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nC2TdYDtfMnvObjGarct9Pxvl5XRQwx4aHucaIwwrdfUcIAmkVH+bBNq3Z+ZjKFpRfJDFqv+jBVOg/ICB6JrAg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:45:34.091696Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.12018","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cbef3ba1dda8ecc60c783c5e94ffc19bd59ffd2a6a6e735f05b1b811713acd81","sha256:d07f41a42321b819033ba68eda1612e227fc9d5b4a274ebee9dc365e2cb3d2a8"],"state_sha256":"37b034650d5fb9be6685fe46d77aa4bed1ef59a566b43ff201975840449bf9aa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a9R5+zMRLhOHosyDkMOQ44kZAa8aKSEv9sdEfCEmiGfTXdwpnTEvYnMNkigZHfb5Z/p20WnTSTu7LtLF/WhkCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T00:58:38.308426Z","bundle_sha256":"1f8ed81935fecc1430fb55ddb92ffd32d10b46f5f572e8b717ee613431e8d474"}}