{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CZMZDSIKYSFL73Z3ZC3ST6YFLN","short_pith_number":"pith:CZMZDSIK","canonical_record":{"source":{"id":"2506.04569","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-05T02:42:07Z","cross_cats_sorted":[],"title_canon_sha256":"c7712c7bc08a16a4d8e31588de9d32c404530a433c7e17c87bc8fc309d09fc47","abstract_canon_sha256":"9e35cc0a5e1e7d98ee67fb39f02d187f990989c09781a69252248538ab3bdf30"},"schema_version":"1.0"},"canonical_sha256":"165991c90ac48abfef3bc8b729fb055b5b4cdf17610e7e5a694cba2ab876d487","source":{"kind":"arxiv","id":"2506.04569","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.04569","created_at":"2026-07-05T11:16:16Z"},{"alias_kind":"arxiv_version","alias_value":"2506.04569v1","created_at":"2026-07-05T11:16:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.04569","created_at":"2026-07-05T11:16:16Z"},{"alias_kind":"pith_short_12","alias_value":"CZMZDSIKYSFL","created_at":"2026-07-05T11:16:16Z"},{"alias_kind":"pith_short_16","alias_value":"CZMZDSIKYSFL73Z3","created_at":"2026-07-05T11:16:16Z"},{"alias_kind":"pith_short_8","alias_value":"CZMZDSIK","created_at":"2026-07-05T11:16:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CZMZDSIKYSFL73Z3ZC3ST6YFLN","target":"record","payload":{"canonical_record":{"source":{"id":"2506.04569","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-05T02:42:07Z","cross_cats_sorted":[],"title_canon_sha256":"c7712c7bc08a16a4d8e31588de9d32c404530a433c7e17c87bc8fc309d09fc47","abstract_canon_sha256":"9e35cc0a5e1e7d98ee67fb39f02d187f990989c09781a69252248538ab3bdf30"},"schema_version":"1.0"},"canonical_sha256":"165991c90ac48abfef3bc8b729fb055b5b4cdf17610e7e5a694cba2ab876d487","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:16:16.779834Z","signature_b64":"/UtJeRbsZ7I8wC/XSaK6/YMEE6nvpd0EQE0dJt7BfNDfMbw4V8b90UUBO6Bzfoqfc3FwX0i/T1My+9eq5xCOCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"165991c90ac48abfef3bc8b729fb055b5b4cdf17610e7e5a694cba2ab876d487","last_reissued_at":"2026-07-05T11:16:16.779351Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:16:16.779351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.04569","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":"2026-07-05T11:16:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HuSNJj0DhhII2nwaMebRapwmDCicMxc+XLaylmZhaZuCeBTNwI2RzqzZwWFLlPjgbh3b/HftkQsVVUcbPKPRCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T05:12:10.973426Z"},"content_sha256":"f39aa0d351a16a67253568edd42d3b5134956184cb1ef93cd2210e3afd8aa3ff","schema_version":"1.0","event_id":"sha256:f39aa0d351a16a67253568edd42d3b5134956184cb1ef93cd2210e3afd8aa3ff"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CZMZDSIKYSFL73Z3ZC3ST6YFLN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"KPIRoot+: An Efficient Integrated Framework for Anomaly Detection and Root Cause Analysis in Large-Scale Cloud Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Guangba Yu, Jianping Zhang, Jiazhen Gu, Jinyang Liu, Michael R. Lyu, Renyi Zhong, Wenwei Gu, Xinying Sun, Yintong Huo, Yongqiang Yang, Zhuangbin Chen","submitted_at":"2025-06-05T02:42:07Z","abstract_excerpt":"To ensure the reliability of cloud systems, their performance is monitored using KPIs (key performance indicators). When issues arise, root cause localization identifies KPIs responsible for service degradation, aiding in quick diagnosis and resolution. Traditional methods rely on similarity calculations, which can be ineffective in complex, interdependent cloud environments. While deep learning-based approaches model these dependencies better, they often face challenges such as high computational demands and lack of interpretability.\n  To address these issues, KPIRoot is proposed as an effici"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.04569","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/2506.04569/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":"2026-07-05T11:16:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KsmN/DtCYgJzhK26h3cSXFNAd1vuDDvtjmO719zCteF/jY6Jqdib48YFrKjT9TQ4Is9RDhsdYIaz/XjeL4iVCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T05:12:10.974564Z"},"content_sha256":"89dc584c88cd269a4867b804b7cc8f92bbb562b22f15a83739201466f5a38b37","schema_version":"1.0","event_id":"sha256:89dc584c88cd269a4867b804b7cc8f92bbb562b22f15a83739201466f5a38b37"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CZMZDSIKYSFL73Z3ZC3ST6YFLN/bundle.json","state_url":"https://pith.science/pith/CZMZDSIKYSFL73Z3ZC3ST6YFLN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CZMZDSIKYSFL73Z3ZC3ST6YFLN/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":"2026-08-01T05:12:10Z","links":{"resolver":"https://pith.science/pith/CZMZDSIKYSFL73Z3ZC3ST6YFLN","bundle":"https://pith.science/pith/CZMZDSIKYSFL73Z3ZC3ST6YFLN/bundle.json","state":"https://pith.science/pith/CZMZDSIKYSFL73Z3ZC3ST6YFLN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CZMZDSIKYSFL73Z3ZC3ST6YFLN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CZMZDSIKYSFL73Z3ZC3ST6YFLN","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":"9e35cc0a5e1e7d98ee67fb39f02d187f990989c09781a69252248538ab3bdf30","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-05T02:42:07Z","title_canon_sha256":"c7712c7bc08a16a4d8e31588de9d32c404530a433c7e17c87bc8fc309d09fc47"},"schema_version":"1.0","source":{"id":"2506.04569","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.04569","created_at":"2026-07-05T11:16:16Z"},{"alias_kind":"arxiv_version","alias_value":"2506.04569v1","created_at":"2026-07-05T11:16:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.04569","created_at":"2026-07-05T11:16:16Z"},{"alias_kind":"pith_short_12","alias_value":"CZMZDSIKYSFL","created_at":"2026-07-05T11:16:16Z"},{"alias_kind":"pith_short_16","alias_value":"CZMZDSIKYSFL73Z3","created_at":"2026-07-05T11:16:16Z"},{"alias_kind":"pith_short_8","alias_value":"CZMZDSIK","created_at":"2026-07-05T11:16:16Z"}],"graph_snapshots":[{"event_id":"sha256:89dc584c88cd269a4867b804b7cc8f92bbb562b22f15a83739201466f5a38b37","target":"graph","created_at":"2026-07-05T11:16:16Z","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/2506.04569/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To ensure the reliability of cloud systems, their performance is monitored using KPIs (key performance indicators). When issues arise, root cause localization identifies KPIs responsible for service degradation, aiding in quick diagnosis and resolution. Traditional methods rely on similarity calculations, which can be ineffective in complex, interdependent cloud environments. While deep learning-based approaches model these dependencies better, they often face challenges such as high computational demands and lack of interpretability.\n  To address these issues, KPIRoot is proposed as an effici","authors_text":"Guangba Yu, Jianping Zhang, Jiazhen Gu, Jinyang Liu, Michael R. Lyu, Renyi Zhong, Wenwei Gu, Xinying Sun, Yintong Huo, Yongqiang Yang, Zhuangbin Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-05T02:42:07Z","title":"KPIRoot+: An Efficient Integrated Framework for Anomaly Detection and Root Cause Analysis in Large-Scale Cloud Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.04569","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:f39aa0d351a16a67253568edd42d3b5134956184cb1ef93cd2210e3afd8aa3ff","target":"record","created_at":"2026-07-05T11:16:16Z","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":"9e35cc0a5e1e7d98ee67fb39f02d187f990989c09781a69252248538ab3bdf30","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-05T02:42:07Z","title_canon_sha256":"c7712c7bc08a16a4d8e31588de9d32c404530a433c7e17c87bc8fc309d09fc47"},"schema_version":"1.0","source":{"id":"2506.04569","kind":"arxiv","version":1}},"canonical_sha256":"165991c90ac48abfef3bc8b729fb055b5b4cdf17610e7e5a694cba2ab876d487","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"165991c90ac48abfef3bc8b729fb055b5b4cdf17610e7e5a694cba2ab876d487","first_computed_at":"2026-07-05T11:16:16.779351Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:16:16.779351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/UtJeRbsZ7I8wC/XSaK6/YMEE6nvpd0EQE0dJt7BfNDfMbw4V8b90UUBO6Bzfoqfc3FwX0i/T1My+9eq5xCOCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:16:16.779834Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.04569","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f39aa0d351a16a67253568edd42d3b5134956184cb1ef93cd2210e3afd8aa3ff","sha256:89dc584c88cd269a4867b804b7cc8f92bbb562b22f15a83739201466f5a38b37"],"state_sha256":"959ba54ffd8e01ef67ac49d7aa5fbf4793533527cf7c535c4a735e33e2579e85"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iM3Y1DuKbjLXl8V3V2c1BgkgAAGuUMmDG8PdXVEXUXumWI4KzLEwxORVDIDQVay9bfPNZx95yRkBqfH+xykGDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T05:12:10.983506Z","bundle_sha256":"58f20322b9e9aac11322256408e5efb866ab8b0f350a7f329fb64b6d2dceb723"}}