{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SWS52A2WTGM2ULNNU2W74WUEGE","short_pith_number":"pith:SWS52A2W","canonical_record":{"source":{"id":"2505.07023","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-11T15:35:55Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"0eda94a7bc3fe178cda957b93c4c41f16a116b699264332ddc675da97e3c1137","abstract_canon_sha256":"deb72e69a49d3e7c770a1c8340917e2c40d77cb9e907d947e6481859d8c689f6"},"schema_version":"1.0"},"canonical_sha256":"95a5dd03569999aa2dada6adfe5a843104a26415609f213acd861e0d972bbffa","source":{"kind":"arxiv","id":"2505.07023","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07023","created_at":"2026-07-05T11:01:40Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07023v1","created_at":"2026-07-05T11:01:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07023","created_at":"2026-07-05T11:01:40Z"},{"alias_kind":"pith_short_12","alias_value":"SWS52A2WTGM2","created_at":"2026-07-05T11:01:40Z"},{"alias_kind":"pith_short_16","alias_value":"SWS52A2WTGM2ULNN","created_at":"2026-07-05T11:01:40Z"},{"alias_kind":"pith_short_8","alias_value":"SWS52A2W","created_at":"2026-07-05T11:01:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SWS52A2WTGM2ULNNU2W74WUEGE","target":"record","payload":{"canonical_record":{"source":{"id":"2505.07023","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-11T15:35:55Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"0eda94a7bc3fe178cda957b93c4c41f16a116b699264332ddc675da97e3c1137","abstract_canon_sha256":"deb72e69a49d3e7c770a1c8340917e2c40d77cb9e907d947e6481859d8c689f6"},"schema_version":"1.0"},"canonical_sha256":"95a5dd03569999aa2dada6adfe5a843104a26415609f213acd861e0d972bbffa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:01:40.828796Z","signature_b64":"DIjrQFLEfN7G8tB3VeyCmer5gc7TTnN3TDph0j196mJ9NwfbrQK6xZryULRBADt8Ev1urg6PGJWn0PnEtOCDAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"95a5dd03569999aa2dada6adfe5a843104a26415609f213acd861e0d972bbffa","last_reissued_at":"2026-07-05T11:01:40.828382Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:01:40.828382Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.07023","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:01:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a0jVb/eINTwhCUQm/R5/CKlMot0E0UJIxcmyStSYesvC6XZvU6JP7KodMvHcmTQDMI87rzjWhatFqnQmJgrbCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:04:09.557569Z"},"content_sha256":"0e5ebc8ef0cf64ba19c13a4e25d2367b4cb37193f753d4e6b08e075524c90667","schema_version":"1.0","event_id":"sha256:0e5ebc8ef0cf64ba19c13a4e25d2367b4cb37193f753d4e6b08e075524c90667"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SWS52A2WTGM2ULNNU2W74WUEGE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","stat.ML"],"primary_cat":"cs.LG","authors_text":"Alexander Koebler, Florian Buettner, Ingo Thon, Thomas Decker, Volker Tresp","submitted_at":"2025-05-11T15:35:55Z","abstract_excerpt":"We study the problem of monitoring machine learning models under gradual distribution shifts, where circumstances change slowly over time, often leading to unnoticed yet significant declines in accuracy. To address this, we propose Incremental Uncertainty-aware Performance Monitoring (IUPM), a novel label-free method that estimates performance changes by modeling gradual shifts using optimal transport. In addition, IUPM quantifies the uncertainty in the performance prediction and introduces an active labeling procedure to restore a reliable estimate under a limited labeling budget. Our experim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07023","kind":"arxiv","version":1},"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/2505.07023/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":"2026-07-05T11:01:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JZXApNu4UFNWlyZKQtwctoVgIk3pSz8YLRFNj5Y41pHLjtF7x0NPYVTovIRphbt4RcpFv0Ffi3psBvMOg6OJCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:04:09.558086Z"},"content_sha256":"ac11362994084ce39b3de2fb48bc1d192d47f86afc8b5fc50feba7c9abc8c4f9","schema_version":"1.0","event_id":"sha256:ac11362994084ce39b3de2fb48bc1d192d47f86afc8b5fc50feba7c9abc8c4f9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SWS52A2WTGM2ULNNU2W74WUEGE/bundle.json","state_url":"https://pith.science/pith/SWS52A2WTGM2ULNNU2W74WUEGE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SWS52A2WTGM2ULNNU2W74WUEGE/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":"2026-08-04T17:04:09Z","links":{"resolver":"https://pith.science/pith/SWS52A2WTGM2ULNNU2W74WUEGE","bundle":"https://pith.science/pith/SWS52A2WTGM2ULNNU2W74WUEGE/bundle.json","state":"https://pith.science/pith/SWS52A2WTGM2ULNNU2W74WUEGE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SWS52A2WTGM2ULNNU2W74WUEGE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SWS52A2WTGM2ULNNU2W74WUEGE","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":"deb72e69a49d3e7c770a1c8340917e2c40d77cb9e907d947e6481859d8c689f6","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-11T15:35:55Z","title_canon_sha256":"0eda94a7bc3fe178cda957b93c4c41f16a116b699264332ddc675da97e3c1137"},"schema_version":"1.0","source":{"id":"2505.07023","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07023","created_at":"2026-07-05T11:01:40Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07023v1","created_at":"2026-07-05T11:01:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07023","created_at":"2026-07-05T11:01:40Z"},{"alias_kind":"pith_short_12","alias_value":"SWS52A2WTGM2","created_at":"2026-07-05T11:01:40Z"},{"alias_kind":"pith_short_16","alias_value":"SWS52A2WTGM2ULNN","created_at":"2026-07-05T11:01:40Z"},{"alias_kind":"pith_short_8","alias_value":"SWS52A2W","created_at":"2026-07-05T11:01:40Z"}],"graph_snapshots":[{"event_id":"sha256:ac11362994084ce39b3de2fb48bc1d192d47f86afc8b5fc50feba7c9abc8c4f9","target":"graph","created_at":"2026-07-05T11:01:40Z","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/2505.07023/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study the problem of monitoring machine learning models under gradual distribution shifts, where circumstances change slowly over time, often leading to unnoticed yet significant declines in accuracy. To address this, we propose Incremental Uncertainty-aware Performance Monitoring (IUPM), a novel label-free method that estimates performance changes by modeling gradual shifts using optimal transport. In addition, IUPM quantifies the uncertainty in the performance prediction and introduces an active labeling procedure to restore a reliable estimate under a limited labeling budget. Our experim","authors_text":"Alexander Koebler, Florian Buettner, Ingo Thon, Thomas Decker, Volker Tresp","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-11T15:35:55Z","title":"Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07023","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":"sha256:0e5ebc8ef0cf64ba19c13a4e25d2367b4cb37193f753d4e6b08e075524c90667","target":"record","created_at":"2026-07-05T11:01:40Z","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":"deb72e69a49d3e7c770a1c8340917e2c40d77cb9e907d947e6481859d8c689f6","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-11T15:35:55Z","title_canon_sha256":"0eda94a7bc3fe178cda957b93c4c41f16a116b699264332ddc675da97e3c1137"},"schema_version":"1.0","source":{"id":"2505.07023","kind":"arxiv","version":1}},"canonical_sha256":"95a5dd03569999aa2dada6adfe5a843104a26415609f213acd861e0d972bbffa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"95a5dd03569999aa2dada6adfe5a843104a26415609f213acd861e0d972bbffa","first_computed_at":"2026-07-05T11:01:40.828382Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:01:40.828382Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DIjrQFLEfN7G8tB3VeyCmer5gc7TTnN3TDph0j196mJ9NwfbrQK6xZryULRBADt8Ev1urg6PGJWn0PnEtOCDAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:01:40.828796Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.07023","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e5ebc8ef0cf64ba19c13a4e25d2367b4cb37193f753d4e6b08e075524c90667","sha256:ac11362994084ce39b3de2fb48bc1d192d47f86afc8b5fc50feba7c9abc8c4f9"],"state_sha256":"191f5afa8ae1a05b135c6ff05facf816c776fe30da7ea7117eb53d4666dc279f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sLkMh1/HL11nad5zI3J63mTFaWdHqXAtWlhu0dLGpjuzzUeyMEX/9KtBfeDCBlF46i2DK296w92HotHHbOeaAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T17:04:09.561953Z","bundle_sha256":"cc2331feb18a5ccb8cdb0f927a25e7c229aee0b532becc714ed602b879fda289"}}