{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:2DM7KCKF4RCV5GPU4C4U3E5DPF","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":"d01e0819eea1c992bd0a68bb9b56d53c66c4ae0fb0e00ea49c4b447479f2e277","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-05T10:16:54Z","title_canon_sha256":"d8c2184c4b334da1b48cd08e086d26cc29d496b690082ec3819ef03952d36354"},"schema_version":"1.0","source":{"id":"2011.02738","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.02738","created_at":"2026-07-05T01:49:24Z"},{"alias_kind":"arxiv_version","alias_value":"2011.02738v1","created_at":"2026-07-05T01:49:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.02738","created_at":"2026-07-05T01:49:24Z"},{"alias_kind":"pith_short_12","alias_value":"2DM7KCKF4RCV","created_at":"2026-07-05T01:49:24Z"},{"alias_kind":"pith_short_16","alias_value":"2DM7KCKF4RCV5GPU","created_at":"2026-07-05T01:49:24Z"},{"alias_kind":"pith_short_8","alias_value":"2DM7KCKF","created_at":"2026-07-05T01:49:24Z"}],"graph_snapshots":[{"event_id":"sha256:2238af213cd0d4b02023f724dff2229962cf38bf793749e0b3a212a3a8488f98","target":"graph","created_at":"2026-07-05T01:49:24Z","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/2011.02738/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning models nowadays play a crucial role for many applications in business and industry. However, models only start adding value as soon as they are deployed into production. One challenge of deployed models is the effect of changing data over time, which is often described with the term concept drift. Due to their nature, concept drifts can severely affect the prediction performance of a machine learning system. In this work, we analyze the effects of concept drift in the context of a real-world data set. For efficient concept drift handling, we introduce the switching scheme whic","authors_text":"Gerhard Satzger, Lucas Baier, Niklas K\\\"uhl, Vincent Kellner","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-05T10:16:54Z","title":"Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.02738","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":"sha256:554c38df73e8846db982a706e54395987e2edf60b7b2411fd3b495e9baba288e","target":"record","created_at":"2026-07-05T01:49:24Z","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":"d01e0819eea1c992bd0a68bb9b56d53c66c4ae0fb0e00ea49c4b447479f2e277","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-05T10:16:54Z","title_canon_sha256":"d8c2184c4b334da1b48cd08e086d26cc29d496b690082ec3819ef03952d36354"},"schema_version":"1.0","source":{"id":"2011.02738","kind":"arxiv","version":1}},"canonical_sha256":"d0d9f50945e4455e99f4e0b94d93a3794ada19c7d4a8fa0bb62a9fccfac9e4ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d0d9f50945e4455e99f4e0b94d93a3794ada19c7d4a8fa0bb62a9fccfac9e4ff","first_computed_at":"2026-07-05T01:49:24.937881Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:49:24.937881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M1a2Vjp7Bs3aV0gALR5Snu3R4hdFEUwAOuK2mJzxiAjI3kAlXjZgxDLmXVcBwSfTG8K4CJZ0p9snBB/yHCbJCA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:49:24.938275Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.02738","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:554c38df73e8846db982a706e54395987e2edf60b7b2411fd3b495e9baba288e","sha256:2238af213cd0d4b02023f724dff2229962cf38bf793749e0b3a212a3a8488f98"],"state_sha256":"fc706386a65af4a08f45bb7d6469c8ec2b2ef8b909c277e7aecc3d90e003b432"}