{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OQNHJ5OVO5IYLFVI6OZ4AMGTCZ","merge_version":"pith-open-graph-merge-v1","event_count":5,"valid_event_count":5,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1a20b58ed05fe4474307940e7c62589b4f9d28affe383f036df5c7fb715ce9bf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-07-09T14:25:31Z","title_canon_sha256":"74c18fee5063264d2d1bf659c70b91ca210eb12ac094af4888488464ecbe9ebd"},"schema_version":"1.0","source":{"id":"2607.08529","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08529","created_at":"2026-07-10T01:19:52Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08529v1","created_at":"2026-07-10T01:19:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08529","created_at":"2026-07-10T01:19:52Z"},{"alias_kind":"pith_short_12","alias_value":"OQNHJ5OVO5IY","created_at":"2026-07-10T01:19:52Z"},{"alias_kind":"pith_short_16","alias_value":"OQNHJ5OVO5IYLFVI","created_at":"2026-07-10T01:19:52Z"},{"alias_kind":"pith_short_8","alias_value":"OQNHJ5OV","created_at":"2026-07-10T01:19:52Z"}],"graph_snapshots":[{"event_id":"sha256:1f2cae4f106642136e591bf40325dd0ab65523cddcc160eaac7c0b7e355164a2","target":"graph","created_at":"2026-07-10T01:19:52Z","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/2607.08529/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diagnosing production incidents in large-scale microservice systems is time-critical for Site Reliability Engineers (SREs). A single 30-minute incident window in our deployment can generate over two million log lines--approximately 1.2 billion characters, far exceeding standard LLM context windows--making direct LLM-based Root Cause Analysis (RCA) infeasible. Existing approaches leave gaps: template-based parsers lack semantic anomaly reasoning, deep-learning detectors emit black-box binary signals, and LLM pipelines suffer context overflow and domain hallucination on raw telemetry.\n  We prese","authors_text":"Aymane Abdali, Carlos Garcia-Hernandez, Fei Shen, Guangyu Wu, Mingxue Wang, Yanbin Zhang, Zhaoyu Pang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-07-09T14:25:31Z","title":"Log-Insight: Automating Microservice Incident Diagnosis via Neuro-Symbolic Log Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08529","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:fec8c718e5dce9562eca00e28a2b91e17d5529611193b435498931fd1a4ff164","target":"record","created_at":"2026-07-10T01:19:52Z","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":"1a20b58ed05fe4474307940e7c62589b4f9d28affe383f036df5c7fb715ce9bf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-07-09T14:25:31Z","title_canon_sha256":"74c18fee5063264d2d1bf659c70b91ca210eb12ac094af4888488464ecbe9ebd"},"schema_version":"1.0","source":{"id":"2607.08529","kind":"arxiv","version":1}},"canonical_sha256":"741a74f5d577518596a8f3b3c030d3164331988629a787ab528ad696ab339fb4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"741a74f5d577518596a8f3b3c030d3164331988629a787ab528ad696ab339fb4","first_computed_at":"2026-07-10T01:19:52.939372Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T01:19:52.939372Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O+cvz0LmhszYA/ub/gt3u+C4h3qO/6FsFP4y9UoPC+UIKCkHkaffpgZLN7xP5TIyeolXB722iezxJgHUCv0jDQ==","signature_status":"signed_v1","signed_at":"2026-07-10T01:19:52.939776Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.08529","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:4a68a47b299bf6d59f7c5a61e11702a6cf650b0961e5b878cb62719d520fe496","sha256:a44de976f535a5220b9ed0c885d97647704e91a94d702c2b59d5e14542153404","sha256:caa7d080a34078981f2af0c5257c01686eb526320861fb2d65fbf613b70d8ebb"]}],"invalid_events":[],"applied_event_ids":["sha256:fec8c718e5dce9562eca00e28a2b91e17d5529611193b435498931fd1a4ff164","sha256:1f2cae4f106642136e591bf40325dd0ab65523cddcc160eaac7c0b7e355164a2"],"state_sha256":"745f7955af2910b43a5b43e2da0f46c22ff2491a2dcce466dcb4801c99d18dfd"}