{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:UJIPYG4EYV2IVPYVKR2636RTJR","short_pith_number":"pith:UJIPYG4E","schema_version":"1.0","canonical_sha256":"a250fc1b84c5748abf155475edfa334c40ddc62b3699ef183af016436a5f28b9","source":{"kind":"arxiv","id":"2607.11357","version":1},"attestation_state":"computed","paper":{"title":"OpsMem: Dual-Memory Reasoning with Cross-Memory Resonance for Failure Diagnosis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.AI","authors_text":"Dan Pei, Qingyi Guo, Qiuai Fu, Rongchen Gao, Shenglin Zhang, Wenwei Gu, Yaoliang Wu, Yongqian Sun, Yu Luo","submitted_at":"2026-07-13T10:22:44Z","abstract_excerpt":"Failure diagnosis in modern software systems requires iterative evidence acquisition and hypothesis reasoning guided by operational experience. Existing LLM-based methods improve diagnosis through agentic reasoning or knowledge augmentation, but they often lack a mechanism to coordinate the evolving diagnostic state with operational experience during iterative diagnosis. We propose OpsMem, a dual-memory framework that maintains a short-term memory for the current diagnostic state and a long-term memory for reusable operational experience. OpsMem uses cross-memory resonance to activate state-re"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.11357","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-13T10:22:44Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"9d17b3315f923bc11e8f41079ecc82e13cec218028d562e2c2dd75b208114bc8","abstract_canon_sha256":"cabd130128a4e5d4e2604598f38eb0941d7430c7e01398f2ebc96de8a6ce659f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T01:22:30.928153Z","signature_b64":"OcbbCWTBeqRMYQGLiUBbJ5HSrnV8Dclku5Z0AAe7wQvJRZ4YTRq85KDSAePWyKoFoprsSTaGkxC4kS78kEnrBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a250fc1b84c5748abf155475edfa334c40ddc62b3699ef183af016436a5f28b9","last_reissued_at":"2026-07-14T01:22:30.927200Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T01:22:30.927200Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"OpsMem: Dual-Memory Reasoning with Cross-Memory Resonance for Failure Diagnosis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.AI","authors_text":"Dan Pei, Qingyi Guo, Qiuai Fu, Rongchen Gao, Shenglin Zhang, Wenwei Gu, Yaoliang Wu, Yongqian Sun, Yu Luo","submitted_at":"2026-07-13T10:22:44Z","abstract_excerpt":"Failure diagnosis in modern software systems requires iterative evidence acquisition and hypothesis reasoning guided by operational experience. Existing LLM-based methods improve diagnosis through agentic reasoning or knowledge augmentation, but they often lack a mechanism to coordinate the evolving diagnostic state with operational experience during iterative diagnosis. We propose OpsMem, a dual-memory framework that maintains a short-term memory for the current diagnostic state and a long-term memory for reusable operational experience. OpsMem uses cross-memory resonance to activate state-re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11357","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/2607.11357/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.11357","created_at":"2026-07-14T01:22:30.927656+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.11357v1","created_at":"2026-07-14T01:22:30.927656+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11357","created_at":"2026-07-14T01:22:30.927656+00:00"},{"alias_kind":"pith_short_12","alias_value":"UJIPYG4EYV2I","created_at":"2026-07-14T01:22:30.927656+00:00"},{"alias_kind":"pith_short_16","alias_value":"UJIPYG4EYV2IVPYV","created_at":"2026-07-14T01:22:30.927656+00:00"},{"alias_kind":"pith_short_8","alias_value":"UJIPYG4E","created_at":"2026-07-14T01:22:30.927656+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UJIPYG4EYV2IVPYVKR2636RTJR","json":"https://pith.science/pith/UJIPYG4EYV2IVPYVKR2636RTJR.json","graph_json":"https://pith.science/api/pith-number/UJIPYG4EYV2IVPYVKR2636RTJR/graph.json","events_json":"https://pith.science/api/pith-number/UJIPYG4EYV2IVPYVKR2636RTJR/events.json","paper":"https://pith.science/paper/UJIPYG4E"},"agent_actions":{"view_html":"https://pith.science/pith/UJIPYG4EYV2IVPYVKR2636RTJR","download_json":"https://pith.science/pith/UJIPYG4EYV2IVPYVKR2636RTJR.json","view_paper":"https://pith.science/paper/UJIPYG4E","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.11357&json=true","fetch_graph":"https://pith.science/api/pith-number/UJIPYG4EYV2IVPYVKR2636RTJR/graph.json","fetch_events":"https://pith.science/api/pith-number/UJIPYG4EYV2IVPYVKR2636RTJR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UJIPYG4EYV2IVPYVKR2636RTJR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UJIPYG4EYV2IVPYVKR2636RTJR/action/storage_attestation","attest_author":"https://pith.science/pith/UJIPYG4EYV2IVPYVKR2636RTJR/action/author_attestation","sign_citation":"https://pith.science/pith/UJIPYG4EYV2IVPYVKR2636RTJR/action/citation_signature","submit_replication":"https://pith.science/pith/UJIPYG4EYV2IVPYVKR2636RTJR/action/replication_record"}},"created_at":"2026-07-14T01:22:30.927656+00:00","updated_at":"2026-07-14T01:22:30.927656+00:00"}