{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2DFTXEOIXQGBXXSLXCVJ7SJD7F","short_pith_number":"pith:2DFTXEOI","canonical_record":{"source":{"id":"2508.16476","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-22T15:43:01Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"8c0a0d92913f086769bed630a1f19366b98bf7eeccd99517b9754f02c8e66bc3","abstract_canon_sha256":"071323df232d789215a0ad5187622b9af54362b2acac307456b2feb789f03a49"},"schema_version":"1.0"},"canonical_sha256":"d0cb3b91c8bc0c1bde4bb8aa9fc923f9682dc81974d0d3641267cedc750ec22e","source":{"kind":"arxiv","id":"2508.16476","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.16476","created_at":"2026-07-05T11:57:49Z"},{"alias_kind":"arxiv_version","alias_value":"2508.16476v1","created_at":"2026-07-05T11:57:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.16476","created_at":"2026-07-05T11:57:49Z"},{"alias_kind":"pith_short_12","alias_value":"2DFTXEOIXQGB","created_at":"2026-07-05T11:57:49Z"},{"alias_kind":"pith_short_16","alias_value":"2DFTXEOIXQGBXXSL","created_at":"2026-07-05T11:57:49Z"},{"alias_kind":"pith_short_8","alias_value":"2DFTXEOI","created_at":"2026-07-05T11:57:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2DFTXEOIXQGBXXSLXCVJ7SJD7F","target":"record","payload":{"canonical_record":{"source":{"id":"2508.16476","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-22T15:43:01Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"8c0a0d92913f086769bed630a1f19366b98bf7eeccd99517b9754f02c8e66bc3","abstract_canon_sha256":"071323df232d789215a0ad5187622b9af54362b2acac307456b2feb789f03a49"},"schema_version":"1.0"},"canonical_sha256":"d0cb3b91c8bc0c1bde4bb8aa9fc923f9682dc81974d0d3641267cedc750ec22e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:57:49.247620Z","signature_b64":"FUW84Yj5FOR6h/nkHdsVpjWBLow1Ps9h/4iCTylIVIuiUVECY/Z2E5AKjHkSljICNueGzY4h6M1BdZheYt/3DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d0cb3b91c8bc0c1bde4bb8aa9fc923f9682dc81974d0d3641267cedc750ec22e","last_reissued_at":"2026-07-05T11:57:49.247147Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:57:49.247147Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.16476","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":"2026-07-05T11:57:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"38vDjGdX8WYIYk0pXSmqlbzT1cYqYz7LIqpqb2I0cmfUKp/O8ZLdFkB9obvfHszrJYGsijYiYT7HKpDj+WNCBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T17:07:51.582963Z"},"content_sha256":"0e0d8e7ef38e9616e5d1ce55cd46f7ce9c0c499c8bdbe58af2f72e14d3536e8d","schema_version":"1.0","event_id":"sha256:0e0d8e7ef38e9616e5d1ce55cd46f7ce9c0c499c8bdbe58af2f72e14d3536e8d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2DFTXEOIXQGBXXSLXCVJ7SJD7F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NOSTRA: A noise-resilient and sparse data framework for trust region based multi objective Bayesian optimization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"cs.LG","authors_text":"Anton van Beek, Maryam Ghasemzadeh","submitted_at":"2025-08-22T15:43:01Z","abstract_excerpt":"Multi-objective Bayesian optimization (MOBO) struggles with sparse (non-space-filling), scarce (limited observations) datasets affected by experimental uncertainty, where identical inputs can yield varying outputs. These challenges are common in physical and simulation experiments (e.g., randomized medical trials and, molecular dynamics simulations) and are therefore incompatible with conventional MOBO methods. As a result, experimental resources are inefficiently allocated, leading to suboptimal designs. To address this challenge, we introduce NOSTRA (Noisy and Sparse Data Trust Region-based "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.16476","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/2508.16476/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":"2026-07-05T11:57:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R73cwStY6gmE3IXSLHGFtlnYLolwLRbHl21U2zKgx7F6OCT48S6m3QVx6VAn4VNEG50U3Al9ks0fPFBxFoq1DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T17:07:51.583355Z"},"content_sha256":"79e398829e596e673fceaeb12c21873c67a559ab0015fcbcf6ca836fc6c172ae","schema_version":"1.0","event_id":"sha256:79e398829e596e673fceaeb12c21873c67a559ab0015fcbcf6ca836fc6c172ae"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2DFTXEOIXQGBXXSLXCVJ7SJD7F/bundle.json","state_url":"https://pith.science/pith/2DFTXEOIXQGBXXSLXCVJ7SJD7F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2DFTXEOIXQGBXXSLXCVJ7SJD7F/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":"2026-07-19T17:07:51Z","links":{"resolver":"https://pith.science/pith/2DFTXEOIXQGBXXSLXCVJ7SJD7F","bundle":"https://pith.science/pith/2DFTXEOIXQGBXXSLXCVJ7SJD7F/bundle.json","state":"https://pith.science/pith/2DFTXEOIXQGBXXSLXCVJ7SJD7F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2DFTXEOIXQGBXXSLXCVJ7SJD7F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2DFTXEOIXQGBXXSLXCVJ7SJD7F","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":"071323df232d789215a0ad5187622b9af54362b2acac307456b2feb789f03a49","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-22T15:43:01Z","title_canon_sha256":"8c0a0d92913f086769bed630a1f19366b98bf7eeccd99517b9754f02c8e66bc3"},"schema_version":"1.0","source":{"id":"2508.16476","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.16476","created_at":"2026-07-05T11:57:49Z"},{"alias_kind":"arxiv_version","alias_value":"2508.16476v1","created_at":"2026-07-05T11:57:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.16476","created_at":"2026-07-05T11:57:49Z"},{"alias_kind":"pith_short_12","alias_value":"2DFTXEOIXQGB","created_at":"2026-07-05T11:57:49Z"},{"alias_kind":"pith_short_16","alias_value":"2DFTXEOIXQGBXXSL","created_at":"2026-07-05T11:57:49Z"},{"alias_kind":"pith_short_8","alias_value":"2DFTXEOI","created_at":"2026-07-05T11:57:49Z"}],"graph_snapshots":[{"event_id":"sha256:79e398829e596e673fceaeb12c21873c67a559ab0015fcbcf6ca836fc6c172ae","target":"graph","created_at":"2026-07-05T11:57:49Z","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/2508.16476/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-objective Bayesian optimization (MOBO) struggles with sparse (non-space-filling), scarce (limited observations) datasets affected by experimental uncertainty, where identical inputs can yield varying outputs. These challenges are common in physical and simulation experiments (e.g., randomized medical trials and, molecular dynamics simulations) and are therefore incompatible with conventional MOBO methods. As a result, experimental resources are inefficiently allocated, leading to suboptimal designs. To address this challenge, we introduce NOSTRA (Noisy and Sparse Data Trust Region-based ","authors_text":"Anton van Beek, Maryam Ghasemzadeh","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-22T15:43:01Z","title":"NOSTRA: A noise-resilient and sparse data framework for trust region based multi objective Bayesian optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.16476","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":"sha256:0e0d8e7ef38e9616e5d1ce55cd46f7ce9c0c499c8bdbe58af2f72e14d3536e8d","target":"record","created_at":"2026-07-05T11:57:49Z","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":"071323df232d789215a0ad5187622b9af54362b2acac307456b2feb789f03a49","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-22T15:43:01Z","title_canon_sha256":"8c0a0d92913f086769bed630a1f19366b98bf7eeccd99517b9754f02c8e66bc3"},"schema_version":"1.0","source":{"id":"2508.16476","kind":"arxiv","version":1}},"canonical_sha256":"d0cb3b91c8bc0c1bde4bb8aa9fc923f9682dc81974d0d3641267cedc750ec22e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d0cb3b91c8bc0c1bde4bb8aa9fc923f9682dc81974d0d3641267cedc750ec22e","first_computed_at":"2026-07-05T11:57:49.247147Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:57:49.247147Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FUW84Yj5FOR6h/nkHdsVpjWBLow1Ps9h/4iCTylIVIuiUVECY/Z2E5AKjHkSljICNueGzY4h6M1BdZheYt/3DA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:57:49.247620Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.16476","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e0d8e7ef38e9616e5d1ce55cd46f7ce9c0c499c8bdbe58af2f72e14d3536e8d","sha256:79e398829e596e673fceaeb12c21873c67a559ab0015fcbcf6ca836fc6c172ae"],"state_sha256":"b78207cc688096620500e631568e78b205c9d8019125d7e3b607be4ae72a56e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V5cM66UbVdQBU/squc9fwQKlwsyOX2OAcvt5qBjef4mMhgOsjvyvvkR5xLayIf0AuBXqIezlcUAetPJ9/KFaCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-19T17:07:51.585988Z","bundle_sha256":"62ba5daf72fcad04b49fe9ce9e85408b76ad3ca505c5b9ab9d8f0024899da408"}}