{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:QALLWWJO7EEIXSP5VZDXVYIK2Q","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":"bd87689d41caada8f9dc916f30e3af6a9c7c9360e5a36c010fd922481dc5c324","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-01-25T20:12:52Z","title_canon_sha256":"55f542cf79893594ed71525f3955288cf21d3334ad53b716d8b02378300f627c"},"schema_version":"1.0","source":{"id":"2101.10385","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.10385","created_at":"2026-07-05T02:09:58Z"},{"alias_kind":"arxiv_version","alias_value":"2101.10385v1","created_at":"2026-07-05T02:09:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.10385","created_at":"2026-07-05T02:09:58Z"},{"alias_kind":"pith_short_12","alias_value":"QALLWWJO7EEI","created_at":"2026-07-05T02:09:58Z"},{"alias_kind":"pith_short_16","alias_value":"QALLWWJO7EEIXSP5","created_at":"2026-07-05T02:09:58Z"},{"alias_kind":"pith_short_8","alias_value":"QALLWWJO","created_at":"2026-07-05T02:09:58Z"}],"graph_snapshots":[{"event_id":"sha256:6397fd101ee8bfbedb861a4b4e15c4b4d60089e0532a47d41db9a7065cb53178","target":"graph","created_at":"2026-07-05T02:09:58Z","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/2101.10385/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many online applications running on live traffic are powered by machine learning models, for which training, validation, and hyper-parameter tuning are conducted on historical data. However, it is common for models demonstrating strong performance in offline analysis to yield poorer performance when deployed online. This problem is a consequence of the difficulty of training on historical data in non-stationary environments. Moreover, the machine learning metrics used for model selection may not sufficiently correlate with real-world business metrics used to determine the success of the applic","authors_text":"Jiayi Xie, John Hoffman, Lee Winikor, Michael Tashman, Rouzbeh Gerami","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-01-25T20:12:52Z","title":"Online and Scalable Model Selection with Multi-Armed Bandits"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.10385","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:c01cfb400375ce6935b0708b4766e9f3809af6f5c0fabe55591be9d754d740c5","target":"record","created_at":"2026-07-05T02:09:58Z","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":"bd87689d41caada8f9dc916f30e3af6a9c7c9360e5a36c010fd922481dc5c324","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-01-25T20:12:52Z","title_canon_sha256":"55f542cf79893594ed71525f3955288cf21d3334ad53b716d8b02378300f627c"},"schema_version":"1.0","source":{"id":"2101.10385","kind":"arxiv","version":1}},"canonical_sha256":"8016bb592ef9088bc9fdae477ae10ad43e9dbae6fb40a943e2a30e6850505b35","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8016bb592ef9088bc9fdae477ae10ad43e9dbae6fb40a943e2a30e6850505b35","first_computed_at":"2026-07-05T02:09:58.038565Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:09:58.038565Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MAADBLYIIokzcaPGMLaaqRoDc6MRj2QXu1+7YnsWCZ+SlDrqu3OPHTsTtKZsquyzq1cf3QjcNO8LW69ruFDMDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:09:58.038984Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.10385","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c01cfb400375ce6935b0708b4766e9f3809af6f5c0fabe55591be9d754d740c5","sha256:6397fd101ee8bfbedb861a4b4e15c4b4d60089e0532a47d41db9a7065cb53178"],"state_sha256":"6a8b5e567c9dda60d329c1908270eee90203f917e100ebd71a12ea968860826a"}