{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UFJ4NTT6QYEBCHLJC7F7JCP4JK","short_pith_number":"pith:UFJ4NTT6","canonical_record":{"source":{"id":"2403.03225","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.acc-ph","submitted_at":"2024-02-28T21:15:43Z","cross_cats_sorted":[],"title_canon_sha256":"07be70b01a6c6ada6649f47e42264087b6bdd0e7a6b4270016df19b5d4072918","abstract_canon_sha256":"224e3d50ae254ad239a2ed0aa0e58d69c4d2f347bff99ba6b24f2bffb31ce2a9"},"schema_version":"1.0"},"canonical_sha256":"a153c6ce7e8608111d6917cbf489fc4abdcd6af4ba77ed629155860239420cfd","source":{"kind":"arxiv","id":"2403.03225","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.03225","created_at":"2026-07-05T10:15:43Z"},{"alias_kind":"arxiv_version","alias_value":"2403.03225v4","created_at":"2026-07-05T10:15:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.03225","created_at":"2026-07-05T10:15:43Z"},{"alias_kind":"pith_short_12","alias_value":"UFJ4NTT6QYEB","created_at":"2026-07-05T10:15:43Z"},{"alias_kind":"pith_short_16","alias_value":"UFJ4NTT6QYEBCHLJ","created_at":"2026-07-05T10:15:43Z"},{"alias_kind":"pith_short_8","alias_value":"UFJ4NTT6","created_at":"2026-07-05T10:15:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UFJ4NTT6QYEBCHLJC7F7JCP4JK","target":"record","payload":{"canonical_record":{"source":{"id":"2403.03225","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.acc-ph","submitted_at":"2024-02-28T21:15:43Z","cross_cats_sorted":[],"title_canon_sha256":"07be70b01a6c6ada6649f47e42264087b6bdd0e7a6b4270016df19b5d4072918","abstract_canon_sha256":"224e3d50ae254ad239a2ed0aa0e58d69c4d2f347bff99ba6b24f2bffb31ce2a9"},"schema_version":"1.0"},"canonical_sha256":"a153c6ce7e8608111d6917cbf489fc4abdcd6af4ba77ed629155860239420cfd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:15:43.243007Z","signature_b64":"2bnDwMVcg0RdxeTwMoME34mBoIojpnGjNaV8+HJX4Sic0iR0ROUlRHQYsqVjKCZD4h1y4ILNX0RA+sj7PyNuDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a153c6ce7e8608111d6917cbf489fc4abdcd6af4ba77ed629155860239420cfd","last_reissued_at":"2026-07-05T10:15:43.242565Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:15:43.242565Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.03225","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:15:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WK4zqHEq/7lnRsxNXZwhrn6S9GlqlbteSg95dznLEDoQsVB1clPJPv5g6GceRR0CSZ5ErEMAFA118bW4LB3LBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:54:36.542467Z"},"content_sha256":"9066d68d1a33557f19afda280de89f8c3faa7a444b7a1d978dffe540cc478dfb","schema_version":"1.0","event_id":"sha256:9066d68d1a33557f19afda280de89f8c3faa7a444b7a1d978dffe540cc478dfb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UFJ4NTT6QYEBCHLJC7F7JCP4JK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Leveraging Prior Mean Models for Faster Bayesian Optimization of Particle Accelerators","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.acc-ph","authors_text":"Auralee L. Edelen, Brahim Mustapha, Connie Xu, Daniel Ratner, Jenny Morgan, Jose L. Martinez, Kathryn R. L. Baker, Ryan Roussel, Tobias Boltz, Zihan Zhu","submitted_at":"2024-02-28T21:15:43Z","abstract_excerpt":"Tuning particle accelerators is a challenging and time-consuming task that can be automated and carried out efficiently using suitable optimization algorithms, such as model-based Bayesian optimization techniques. One of the major advantages of Bayesian algorithms is the ability to incorporate prior information about beam physics and historical behavior into the model used to make control decisions. In this work, we examine incorporating prior accelerator physics information into Bayesian optimization algorithms by utilizing fast executing, neural network models trained on simulated or histori"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.03225","kind":"arxiv","version":4},"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/2403.03225/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":"2026-07-05T10:15:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VSfYPQgen6aCxDxHd1DBIjCRjtfSYx9vrqCDjbXqC7DU62FS32gXssXQXdJvBuGnU09vClWugveL1a+X192iDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:54:36.542905Z"},"content_sha256":"911f933352101d8833b7064ff9e628231e49da46c8f996fc0cf7de4630dd8b37","schema_version":"1.0","event_id":"sha256:911f933352101d8833b7064ff9e628231e49da46c8f996fc0cf7de4630dd8b37"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UFJ4NTT6QYEBCHLJC7F7JCP4JK/bundle.json","state_url":"https://pith.science/pith/UFJ4NTT6QYEBCHLJC7F7JCP4JK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UFJ4NTT6QYEBCHLJC7F7JCP4JK/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":"2026-07-07T05:54:36Z","links":{"resolver":"https://pith.science/pith/UFJ4NTT6QYEBCHLJC7F7JCP4JK","bundle":"https://pith.science/pith/UFJ4NTT6QYEBCHLJC7F7JCP4JK/bundle.json","state":"https://pith.science/pith/UFJ4NTT6QYEBCHLJC7F7JCP4JK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UFJ4NTT6QYEBCHLJC7F7JCP4JK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UFJ4NTT6QYEBCHLJC7F7JCP4JK","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":"224e3d50ae254ad239a2ed0aa0e58d69c4d2f347bff99ba6b24f2bffb31ce2a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.acc-ph","submitted_at":"2024-02-28T21:15:43Z","title_canon_sha256":"07be70b01a6c6ada6649f47e42264087b6bdd0e7a6b4270016df19b5d4072918"},"schema_version":"1.0","source":{"id":"2403.03225","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.03225","created_at":"2026-07-05T10:15:43Z"},{"alias_kind":"arxiv_version","alias_value":"2403.03225v4","created_at":"2026-07-05T10:15:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.03225","created_at":"2026-07-05T10:15:43Z"},{"alias_kind":"pith_short_12","alias_value":"UFJ4NTT6QYEB","created_at":"2026-07-05T10:15:43Z"},{"alias_kind":"pith_short_16","alias_value":"UFJ4NTT6QYEBCHLJ","created_at":"2026-07-05T10:15:43Z"},{"alias_kind":"pith_short_8","alias_value":"UFJ4NTT6","created_at":"2026-07-05T10:15:43Z"}],"graph_snapshots":[{"event_id":"sha256:911f933352101d8833b7064ff9e628231e49da46c8f996fc0cf7de4630dd8b37","target":"graph","created_at":"2026-07-05T10:15:43Z","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/2403.03225/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tuning particle accelerators is a challenging and time-consuming task that can be automated and carried out efficiently using suitable optimization algorithms, such as model-based Bayesian optimization techniques. One of the major advantages of Bayesian algorithms is the ability to incorporate prior information about beam physics and historical behavior into the model used to make control decisions. In this work, we examine incorporating prior accelerator physics information into Bayesian optimization algorithms by utilizing fast executing, neural network models trained on simulated or histori","authors_text":"Auralee L. Edelen, Brahim Mustapha, Connie Xu, Daniel Ratner, Jenny Morgan, Jose L. Martinez, Kathryn R. L. Baker, Ryan Roussel, Tobias Boltz, Zihan Zhu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.acc-ph","submitted_at":"2024-02-28T21:15:43Z","title":"Leveraging Prior Mean Models for Faster Bayesian Optimization of Particle Accelerators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.03225","kind":"arxiv","version":4},"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":"sha256:9066d68d1a33557f19afda280de89f8c3faa7a444b7a1d978dffe540cc478dfb","target":"record","created_at":"2026-07-05T10:15:43Z","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":"224e3d50ae254ad239a2ed0aa0e58d69c4d2f347bff99ba6b24f2bffb31ce2a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.acc-ph","submitted_at":"2024-02-28T21:15:43Z","title_canon_sha256":"07be70b01a6c6ada6649f47e42264087b6bdd0e7a6b4270016df19b5d4072918"},"schema_version":"1.0","source":{"id":"2403.03225","kind":"arxiv","version":4}},"canonical_sha256":"a153c6ce7e8608111d6917cbf489fc4abdcd6af4ba77ed629155860239420cfd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a153c6ce7e8608111d6917cbf489fc4abdcd6af4ba77ed629155860239420cfd","first_computed_at":"2026-07-05T10:15:43.242565Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:15:43.242565Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2bnDwMVcg0RdxeTwMoME34mBoIojpnGjNaV8+HJX4Sic0iR0ROUlRHQYsqVjKCZD4h1y4ILNX0RA+sj7PyNuDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:15:43.243007Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.03225","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9066d68d1a33557f19afda280de89f8c3faa7a444b7a1d978dffe540cc478dfb","sha256:911f933352101d8833b7064ff9e628231e49da46c8f996fc0cf7de4630dd8b37"],"state_sha256":"e815aef5ab9e2c2cc6b16c07b2f248649da32a845ed339e74a67c205f3559094"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yuiJfESdwksnwSmMM5CKUKlwqW8NDEAO3CBX8BNeW1QHjzob/RidpCTdAPNBmnfk+PBGyAOh8q5ts+t9Q75ABg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:54:36.545512Z","bundle_sha256":"5e066ad47fcb6cef8a5148d3606e8a48b5ad0fe27a133eeb54f23dda0bdff5c0"}}