{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:FCLC4XROUPLUOZFCKFBFMBBPMD","short_pith_number":"pith:FCLC4XRO","canonical_record":{"source":{"id":"2401.15007","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2024-01-26T17:08:07Z","cross_cats_sorted":["cs.NA","math.NA"],"title_canon_sha256":"8f9fe2f28c7527d29618a738bf1979e24abca64cce3044813fc9f2ef813b0fec","abstract_canon_sha256":"9fd7279c6d5da0758724f9bcbe98e85ccd753d8b1d248b2ae8e7ec259dd533ff"},"schema_version":"1.0"},"canonical_sha256":"28962e5e2ea3d74764a2514256042f60d738e5b790aa39d9f0ae0561aedb2126","source":{"kind":"arxiv","id":"2401.15007","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.15007","created_at":"2026-07-05T09:14:53Z"},{"alias_kind":"arxiv_version","alias_value":"2401.15007v2","created_at":"2026-07-05T09:14:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.15007","created_at":"2026-07-05T09:14:53Z"},{"alias_kind":"pith_short_12","alias_value":"FCLC4XROUPLU","created_at":"2026-07-05T09:14:53Z"},{"alias_kind":"pith_short_16","alias_value":"FCLC4XROUPLUOZFC","created_at":"2026-07-05T09:14:53Z"},{"alias_kind":"pith_short_8","alias_value":"FCLC4XRO","created_at":"2026-07-05T09:14:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:FCLC4XROUPLUOZFCKFBFMBBPMD","target":"record","payload":{"canonical_record":{"source":{"id":"2401.15007","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2024-01-26T17:08:07Z","cross_cats_sorted":["cs.NA","math.NA"],"title_canon_sha256":"8f9fe2f28c7527d29618a738bf1979e24abca64cce3044813fc9f2ef813b0fec","abstract_canon_sha256":"9fd7279c6d5da0758724f9bcbe98e85ccd753d8b1d248b2ae8e7ec259dd533ff"},"schema_version":"1.0"},"canonical_sha256":"28962e5e2ea3d74764a2514256042f60d738e5b790aa39d9f0ae0561aedb2126","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:14:53.618275Z","signature_b64":"BIRKRV7am7YV2XGCOhXqYU7do5iOjiOeJrd4UEel2g/HG350jQOg4MboOfSKrmE6OvZTlo3HzRLkc9It0la0CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"28962e5e2ea3d74764a2514256042f60d738e5b790aa39d9f0ae0561aedb2126","last_reissued_at":"2026-07-05T09:14:53.617816Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:14:53.617816Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.15007","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:14:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LJJW2svAtlZCe1R4Alp3rCgemWLB6uIIUTyXntpTX0W3bRoku7ZpsV5aRBYLGYrG5LB1tibnsJOE+rmhl4x2BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T18:20:42.612234Z"},"content_sha256":"e1a781ffd027bcd226e34ede742df9815f0a14c9a14014ed1273420c0bcf07eb","schema_version":"1.0","event_id":"sha256:e1a781ffd027bcd226e34ede742df9815f0a14c9a14014ed1273420c0bcf07eb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:FCLC4XROUPLUOZFCKFBFMBBPMD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Design Guidelines for Noise-Tolerant Optimization with Applications in Robust Design","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.NA","math.NA"],"primary_cat":"math.OC","authors_text":"Jorge Nocedal, Shigeng Sun, Yuchen Lou","submitted_at":"2024-01-26T17:08:07Z","abstract_excerpt":"The development of nonlinear optimization algorithms capable of performing reliably in the presence of noise has garnered considerable attention lately. This paper advocates for strategies to create noise-tolerant nonlinear optimization algorithms by adapting classical deterministic methods. These adaptations follow certain design guidelines described here, which make use of estimates of the noise level in the problem. The application of our methodology is illustrated by the development of a line search gradient projection method, which is tested on an engineering design problem. It is shown t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.15007","kind":"arxiv","version":2},"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/2401.15007/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":"2026-07-05T09:14:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WHryRpcdhHMjtAsAL28pLVESGGklqQq/oPc5DRAjnKGaA0rDxnt8zFZnXhM9ef4RQYkj/7YHr3T4W6OToEnTDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T18:20:42.612574Z"},"content_sha256":"7fda618eb0625a7b67f05ff870ad82f39b4ca930febbbb05ca1f1fe84a6926c0","schema_version":"1.0","event_id":"sha256:7fda618eb0625a7b67f05ff870ad82f39b4ca930febbbb05ca1f1fe84a6926c0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FCLC4XROUPLUOZFCKFBFMBBPMD/bundle.json","state_url":"https://pith.science/pith/FCLC4XROUPLUOZFCKFBFMBBPMD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FCLC4XROUPLUOZFCKFBFMBBPMD/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":"2026-08-11T18:20:42Z","links":{"resolver":"https://pith.science/pith/FCLC4XROUPLUOZFCKFBFMBBPMD","bundle":"https://pith.science/pith/FCLC4XROUPLUOZFCKFBFMBBPMD/bundle.json","state":"https://pith.science/pith/FCLC4XROUPLUOZFCKFBFMBBPMD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FCLC4XROUPLUOZFCKFBFMBBPMD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FCLC4XROUPLUOZFCKFBFMBBPMD","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":"9fd7279c6d5da0758724f9bcbe98e85ccd753d8b1d248b2ae8e7ec259dd533ff","cross_cats_sorted":["cs.NA","math.NA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2024-01-26T17:08:07Z","title_canon_sha256":"8f9fe2f28c7527d29618a738bf1979e24abca64cce3044813fc9f2ef813b0fec"},"schema_version":"1.0","source":{"id":"2401.15007","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.15007","created_at":"2026-07-05T09:14:53Z"},{"alias_kind":"arxiv_version","alias_value":"2401.15007v2","created_at":"2026-07-05T09:14:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.15007","created_at":"2026-07-05T09:14:53Z"},{"alias_kind":"pith_short_12","alias_value":"FCLC4XROUPLU","created_at":"2026-07-05T09:14:53Z"},{"alias_kind":"pith_short_16","alias_value":"FCLC4XROUPLUOZFC","created_at":"2026-07-05T09:14:53Z"},{"alias_kind":"pith_short_8","alias_value":"FCLC4XRO","created_at":"2026-07-05T09:14:53Z"}],"graph_snapshots":[{"event_id":"sha256:7fda618eb0625a7b67f05ff870ad82f39b4ca930febbbb05ca1f1fe84a6926c0","target":"graph","created_at":"2026-07-05T09:14:53Z","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/2401.15007/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The development of nonlinear optimization algorithms capable of performing reliably in the presence of noise has garnered considerable attention lately. This paper advocates for strategies to create noise-tolerant nonlinear optimization algorithms by adapting classical deterministic methods. These adaptations follow certain design guidelines described here, which make use of estimates of the noise level in the problem. The application of our methodology is illustrated by the development of a line search gradient projection method, which is tested on an engineering design problem. It is shown t","authors_text":"Jorge Nocedal, Shigeng Sun, Yuchen Lou","cross_cats":["cs.NA","math.NA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2024-01-26T17:08:07Z","title":"Design Guidelines for Noise-Tolerant Optimization with Applications in Robust Design"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.15007","kind":"arxiv","version":2},"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:e1a781ffd027bcd226e34ede742df9815f0a14c9a14014ed1273420c0bcf07eb","target":"record","created_at":"2026-07-05T09:14:53Z","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":"9fd7279c6d5da0758724f9bcbe98e85ccd753d8b1d248b2ae8e7ec259dd533ff","cross_cats_sorted":["cs.NA","math.NA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2024-01-26T17:08:07Z","title_canon_sha256":"8f9fe2f28c7527d29618a738bf1979e24abca64cce3044813fc9f2ef813b0fec"},"schema_version":"1.0","source":{"id":"2401.15007","kind":"arxiv","version":2}},"canonical_sha256":"28962e5e2ea3d74764a2514256042f60d738e5b790aa39d9f0ae0561aedb2126","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"28962e5e2ea3d74764a2514256042f60d738e5b790aa39d9f0ae0561aedb2126","first_computed_at":"2026-07-05T09:14:53.617816Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:14:53.617816Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BIRKRV7am7YV2XGCOhXqYU7do5iOjiOeJrd4UEel2g/HG350jQOg4MboOfSKrmE6OvZTlo3HzRLkc9It0la0CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:14:53.618275Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.15007","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e1a781ffd027bcd226e34ede742df9815f0a14c9a14014ed1273420c0bcf07eb","sha256:7fda618eb0625a7b67f05ff870ad82f39b4ca930febbbb05ca1f1fe84a6926c0"],"state_sha256":"7352d3332734583bb5d3291c5456f99149ec1c594e88c2822a72df2cd25c8b4c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PHWCnIPfBk85cQ8Kls8qIgm/T2jRm1U+kuWUQBNvk+mtvSdorVRHTJFVA82n2zP+UGPcJlgCNaEJruvZfb5vBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T18:20:42.615522Z","bundle_sha256":"1f0709023553cf93c45ed3fd299435f948ea58ef9bebeedfd63e1dbc20f47809"}}