{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HMRVOQ4G4FNNO3MUTVNLYTABSS","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":"ea2e82031b13f4662b4408867157bd5c44b961c998075e2ca0515cb5c0168c9d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-04T03:34:39Z","title_canon_sha256":"fe9a7d6ff11db4050935b37d3fc938dfab7640fd666ae64692c0b57440b62263"},"schema_version":"1.0","source":{"id":"2504.03793","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.03793","created_at":"2026-07-05T10:44:48Z"},{"alias_kind":"arxiv_version","alias_value":"2504.03793v1","created_at":"2026-07-05T10:44:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.03793","created_at":"2026-07-05T10:44:48Z"},{"alias_kind":"pith_short_12","alias_value":"HMRVOQ4G4FNN","created_at":"2026-07-05T10:44:48Z"},{"alias_kind":"pith_short_16","alias_value":"HMRVOQ4G4FNNO3MU","created_at":"2026-07-05T10:44:48Z"},{"alias_kind":"pith_short_8","alias_value":"HMRVOQ4G","created_at":"2026-07-05T10:44:48Z"}],"graph_snapshots":[{"event_id":"sha256:79a790c06a065d64b7cf3bba697b67e2798602fe167712ca8db33831869ddf20","target":"graph","created_at":"2026-07-05T10:44:48Z","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/2504.03793/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Particle Accelerators are high power complex machines. To ensure uninterrupted operation of these machines, thousands of pieces of equipment need to be synchronized, which requires addressing many challenges including design, optimization and control, anomaly detection and machine protection. With recent advancements, Machine Learning (ML) holds promise to assist in more advance prognostics, optimization, and control. While ML based solutions have been developed for several applications in particle accelerators, only few have reached deployment and even fewer to long term usage, due to particl","authors_text":"Auralee Edelen, Kishansingh Rajput, Malachi Schram, Sen Lin, Willem Blokland","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-04T03:34:39Z","title":"Outlook Towards Deployable Continual Learning for Particle Accelerators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.03793","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":"sha256:50e8d555e5eff8b0030586286817670d3d68994e2a10182f2529e1b2fc8edf7b","target":"record","created_at":"2026-07-05T10:44:48Z","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":"ea2e82031b13f4662b4408867157bd5c44b961c998075e2ca0515cb5c0168c9d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-04-04T03:34:39Z","title_canon_sha256":"fe9a7d6ff11db4050935b37d3fc938dfab7640fd666ae64692c0b57440b62263"},"schema_version":"1.0","source":{"id":"2504.03793","kind":"arxiv","version":1}},"canonical_sha256":"3b23574386e15ad76d949d5abc4c019497a2c0908ee51f1dd7614c12b9fd973c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b23574386e15ad76d949d5abc4c019497a2c0908ee51f1dd7614c12b9fd973c","first_computed_at":"2026-07-05T10:44:48.497381Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:44:48.497381Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7TCLd0QFAaFVdmVBC70ljr+iA4cO5IgQypeEgO6XrnpG2o37hbxsVeieG7mQmr45pyqOfkTFUjUUIpFQyRpFDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:44:48.497881Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.03793","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:50e8d555e5eff8b0030586286817670d3d68994e2a10182f2529e1b2fc8edf7b","sha256:79a790c06a065d64b7cf3bba697b67e2798602fe167712ca8db33831869ddf20"],"state_sha256":"846f3074190cd1988912b7b8e298abb0762be5c70a26ad9a4e6620142eb8851e"}