{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:6SY7XYMCHSN6KU2PVZ7T6EO2NS","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":"363e1a9d79a42dfa9a54ffb830945d3ad0b5b76e30d83c318737c92a80d43327","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.SE","submitted_at":"2022-06-22T08:24:11Z","title_canon_sha256":"c70f31f59ccae623715515288a700264bd136d9e6ed0b5b06a105b1c2f922f90"},"schema_version":"1.0","source":{"id":"2207.02918","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.02918","created_at":"2026-07-05T05:41:50Z"},{"alias_kind":"arxiv_version","alias_value":"2207.02918v2","created_at":"2026-07-05T05:41:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.02918","created_at":"2026-07-05T05:41:50Z"},{"alias_kind":"pith_short_12","alias_value":"6SY7XYMCHSN6","created_at":"2026-07-05T05:41:50Z"},{"alias_kind":"pith_short_16","alias_value":"6SY7XYMCHSN6KU2P","created_at":"2026-07-05T05:41:50Z"},{"alias_kind":"pith_short_8","alias_value":"6SY7XYMC","created_at":"2026-07-05T05:41:50Z"}],"graph_snapshots":[{"event_id":"sha256:8ba48e6ecb626150f5181fb0acbfba7a2c10f2d92b192685be2813f5c2e97295","target":"graph","created_at":"2026-07-05T05:41:50Z","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/2207.02918/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prompt and accurate detection of system anomalies is essential to ensure the reliability of software systems. Unlike manual efforts that exploit all available run-time information, existing approaches usually leverage only a single type of monitoring data (often logs or metrics) or fail to make effective use of the joint information among multi-source data. Consequently, many false predictions occur. To better understand the manifestations of system anomalies, we conduct a comprehensive empirical study based on a large amount of heterogeneous data, i.e., logs and metrics. Our study demonstrate","authors_text":"Baitong Li, Michael R. Lyu, Tianyi Yang, Yongqiang Yang, Yuxin Su, Zhuangbin Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.SE","submitted_at":"2022-06-22T08:24:11Z","title":"Heterogeneous Anomaly Detection for Software Systems via Attentive Multi-modal Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.02918","kind":"arxiv","version":2},"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":"sha256:0c681657116d06586147939315917508708947488d9df84a154b6115db812ac2","target":"record","created_at":"2026-07-05T05:41:50Z","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":"363e1a9d79a42dfa9a54ffb830945d3ad0b5b76e30d83c318737c92a80d43327","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.SE","submitted_at":"2022-06-22T08:24:11Z","title_canon_sha256":"c70f31f59ccae623715515288a700264bd136d9e6ed0b5b06a105b1c2f922f90"},"schema_version":"1.0","source":{"id":"2207.02918","kind":"arxiv","version":2}},"canonical_sha256":"f4b1fbe1823c9be5534fae7f3f11da6ca1213be32a6b9ff61e209cd5c832510d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f4b1fbe1823c9be5534fae7f3f11da6ca1213be32a6b9ff61e209cd5c832510d","first_computed_at":"2026-07-05T05:41:50.743642Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:41:50.743642Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2B/rPVKIuGMePdZq8s4Yf7fgZ52DQlIzHgHGWGwDZyGpX5g2ggglhrQlPCj0y/K17vJ5qfxK1HaM3zrXigLtBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:41:50.744102Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.02918","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0c681657116d06586147939315917508708947488d9df84a154b6115db812ac2","sha256:8ba48e6ecb626150f5181fb0acbfba7a2c10f2d92b192685be2813f5c2e97295"],"state_sha256":"990d577c8da80e6509ea39fec98fb93c62ffef5860a557ca8de5f908dd0dfb89"}