{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:XAJEOHZND7BDLCDQJ2R74SKKSW","short_pith_number":"pith:XAJEOHZN","canonical_record":{"source":{"id":"1812.10793","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-27T18:43:21Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"d3facff3cf22ba0cb1d7dddf45129fce93520d9cad23f9ebe6936627c1a5f7e4","abstract_canon_sha256":"4e38d173579a8589d701d5df050496de1f2ea949f672f0127a86dcabb39fb3b8"},"schema_version":"1.0"},"canonical_sha256":"b812471f2d1fc23588704ea3fe494a95b6bd047d732374a3ce29d3491c1aa938","source":{"kind":"arxiv","id":"1812.10793","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.10793","created_at":"2026-07-05T02:46:39Z"},{"alias_kind":"arxiv_version","alias_value":"1812.10793v3","created_at":"2026-07-05T02:46:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.10793","created_at":"2026-07-05T02:46:39Z"},{"alias_kind":"pith_short_12","alias_value":"XAJEOHZND7BD","created_at":"2026-07-05T02:46:39Z"},{"alias_kind":"pith_short_16","alias_value":"XAJEOHZND7BDLCDQ","created_at":"2026-07-05T02:46:39Z"},{"alias_kind":"pith_short_8","alias_value":"XAJEOHZN","created_at":"2026-07-05T02:46:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:XAJEOHZND7BDLCDQJ2R74SKKSW","target":"record","payload":{"canonical_record":{"source":{"id":"1812.10793","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-27T18:43:21Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"d3facff3cf22ba0cb1d7dddf45129fce93520d9cad23f9ebe6936627c1a5f7e4","abstract_canon_sha256":"4e38d173579a8589d701d5df050496de1f2ea949f672f0127a86dcabb39fb3b8"},"schema_version":"1.0"},"canonical_sha256":"b812471f2d1fc23588704ea3fe494a95b6bd047d732374a3ce29d3491c1aa938","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:46:39.498384Z","signature_b64":"9PgwC6UE7Ui4oMXZYFp28M9JpV4lKxGRBQoD7EWq/wt6Xg0GvnvjAhotORii07WxoeduxAKxHQcs6ewWb7psCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b812471f2d1fc23588704ea3fe494a95b6bd047d732374a3ce29d3491c1aa938","last_reissued_at":"2026-07-05T02:46:39.497957Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:46:39.497957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.10793","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:46:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0dRf7Blbr8CTIqVr+bxuV98T0WHMrFoS1/9Q1L6xn5wufpo3Tu+f3A9qKJtYWWsZv1pQqa+y4BG8yStSwEIxCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T21:49:16.509423Z"},"content_sha256":"3222d920e3d351b021edc08ff2d70e0cfcd1378b9d1392f02957b105192d8178","schema_version":"1.0","event_id":"sha256:3222d920e3d351b021edc08ff2d70e0cfcd1378b9d1392f02957b105192d8178"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:XAJEOHZND7BDLCDQJ2R74SKKSW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automated Adaptation Strategies for Stream Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Bogdan Gabrys, Damien Fay, Rashid Bakirov","submitted_at":"2018-12-27T18:43:21Z","abstract_excerpt":"Automation of machine learning model development is increasingly becoming an established research area. While automated model selection and automated data pre-processing have been studied in depth, there is, however, a gap concerning automated model adaptation strategies when multiple strategies are available. Manually developing an adaptation strategy can be time consuming and costly. In this paper we address this issue by proposing the use of flexible adaptive mechanism deployment for automated development of adaptation strategies. Experimental results after using the proposed strategies wit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.10793","kind":"arxiv","version":3},"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/1812.10793/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":"2026-07-05T02:46:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZU5oZgO8TBcKtIWdFRgBJ6CuHulwYk4BnztL43cMPH5kFstGakaeNalRqgvD3xgdjlhaxal3djO91unXTZrwCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T21:49:16.509798Z"},"content_sha256":"e8a4a781b2779e5546e5a350c74a21e49fda53c1554e1633077c52e2cf23761a","schema_version":"1.0","event_id":"sha256:e8a4a781b2779e5546e5a350c74a21e49fda53c1554e1633077c52e2cf23761a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XAJEOHZND7BDLCDQJ2R74SKKSW/bundle.json","state_url":"https://pith.science/pith/XAJEOHZND7BDLCDQJ2R74SKKSW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XAJEOHZND7BDLCDQJ2R74SKKSW/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":"2026-07-06T21:49:16Z","links":{"resolver":"https://pith.science/pith/XAJEOHZND7BDLCDQJ2R74SKKSW","bundle":"https://pith.science/pith/XAJEOHZND7BDLCDQJ2R74SKKSW/bundle.json","state":"https://pith.science/pith/XAJEOHZND7BDLCDQJ2R74SKKSW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XAJEOHZND7BDLCDQJ2R74SKKSW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:XAJEOHZND7BDLCDQJ2R74SKKSW","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":"4e38d173579a8589d701d5df050496de1f2ea949f672f0127a86dcabb39fb3b8","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-27T18:43:21Z","title_canon_sha256":"d3facff3cf22ba0cb1d7dddf45129fce93520d9cad23f9ebe6936627c1a5f7e4"},"schema_version":"1.0","source":{"id":"1812.10793","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.10793","created_at":"2026-07-05T02:46:39Z"},{"alias_kind":"arxiv_version","alias_value":"1812.10793v3","created_at":"2026-07-05T02:46:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.10793","created_at":"2026-07-05T02:46:39Z"},{"alias_kind":"pith_short_12","alias_value":"XAJEOHZND7BD","created_at":"2026-07-05T02:46:39Z"},{"alias_kind":"pith_short_16","alias_value":"XAJEOHZND7BDLCDQ","created_at":"2026-07-05T02:46:39Z"},{"alias_kind":"pith_short_8","alias_value":"XAJEOHZN","created_at":"2026-07-05T02:46:39Z"}],"graph_snapshots":[{"event_id":"sha256:e8a4a781b2779e5546e5a350c74a21e49fda53c1554e1633077c52e2cf23761a","target":"graph","created_at":"2026-07-05T02:46:39Z","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/1812.10793/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automation of machine learning model development is increasingly becoming an established research area. While automated model selection and automated data pre-processing have been studied in depth, there is, however, a gap concerning automated model adaptation strategies when multiple strategies are available. Manually developing an adaptation strategy can be time consuming and costly. In this paper we address this issue by proposing the use of flexible adaptive mechanism deployment for automated development of adaptation strategies. Experimental results after using the proposed strategies wit","authors_text":"Bogdan Gabrys, Damien Fay, Rashid Bakirov","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-27T18:43:21Z","title":"Automated Adaptation Strategies for Stream Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.10793","kind":"arxiv","version":3},"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":"sha256:3222d920e3d351b021edc08ff2d70e0cfcd1378b9d1392f02957b105192d8178","target":"record","created_at":"2026-07-05T02:46:39Z","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":"4e38d173579a8589d701d5df050496de1f2ea949f672f0127a86dcabb39fb3b8","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-27T18:43:21Z","title_canon_sha256":"d3facff3cf22ba0cb1d7dddf45129fce93520d9cad23f9ebe6936627c1a5f7e4"},"schema_version":"1.0","source":{"id":"1812.10793","kind":"arxiv","version":3}},"canonical_sha256":"b812471f2d1fc23588704ea3fe494a95b6bd047d732374a3ce29d3491c1aa938","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b812471f2d1fc23588704ea3fe494a95b6bd047d732374a3ce29d3491c1aa938","first_computed_at":"2026-07-05T02:46:39.497957Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:46:39.497957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9PgwC6UE7Ui4oMXZYFp28M9JpV4lKxGRBQoD7EWq/wt6Xg0GvnvjAhotORii07WxoeduxAKxHQcs6ewWb7psCg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:46:39.498384Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.10793","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3222d920e3d351b021edc08ff2d70e0cfcd1378b9d1392f02957b105192d8178","sha256:e8a4a781b2779e5546e5a350c74a21e49fda53c1554e1633077c52e2cf23761a"],"state_sha256":"6a99af5b5cfbc05dcfc27b6f8a5cd02c79f865e9bdc837baaa65c7244af0d70a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fy41tj6DN6WwJF+dIcElRragAbrcbEUi+YO9FCb42iymI3OK3dS+ighIRo6/ywWHzaaLignx4/4JHdi6t+gCAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T21:49:16.511969Z","bundle_sha256":"f9deb9d073976aed7411839358c83f47a4474148e8bf58673282dffb2682e5db"}}