{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:DCT3TQBQFIZ44V4XBTMACIHZRA","short_pith_number":"pith:DCT3TQBQ","canonical_record":{"source":{"id":"2607.29092","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-07-31T07:17:38Z","cross_cats_sorted":[],"title_canon_sha256":"f95c7c0b0df3b9e4c1f1eb5a88eaad606fc5666edaeb6b9c8ecde61f0aa8df59","abstract_canon_sha256":"d55b40da5ec8b58cca876315b1783c451af5e687aa53b2cc1a27f5f08d6bfedd"},"schema_version":"1.0"},"canonical_sha256":"18a7b9c0302a33ce57970cd80120f9882829b0dff14e9b2695108ac233bbab8f","source":{"kind":"arxiv","id":"2607.29092","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.29092","created_at":"2026-08-03T01:19:06Z"},{"alias_kind":"arxiv_version","alias_value":"2607.29092v1","created_at":"2026-08-03T01:19:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.29092","created_at":"2026-08-03T01:19:06Z"},{"alias_kind":"pith_short_12","alias_value":"DCT3TQBQFIZ4","created_at":"2026-08-03T01:19:06Z"},{"alias_kind":"pith_short_16","alias_value":"DCT3TQBQFIZ44V4X","created_at":"2026-08-03T01:19:06Z"},{"alias_kind":"pith_short_8","alias_value":"DCT3TQBQ","created_at":"2026-08-03T01:19:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:DCT3TQBQFIZ44V4XBTMACIHZRA","target":"record","payload":{"canonical_record":{"source":{"id":"2607.29092","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-07-31T07:17:38Z","cross_cats_sorted":[],"title_canon_sha256":"f95c7c0b0df3b9e4c1f1eb5a88eaad606fc5666edaeb6b9c8ecde61f0aa8df59","abstract_canon_sha256":"d55b40da5ec8b58cca876315b1783c451af5e687aa53b2cc1a27f5f08d6bfedd"},"schema_version":"1.0"},"canonical_sha256":"18a7b9c0302a33ce57970cd80120f9882829b0dff14e9b2695108ac233bbab8f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-03T01:19:06.598795Z","signature_b64":"ToXsni8naslkAhGuO4GRkUv160uEttabgw4QPoGHixk/UpNCf7MXrUGwmZgFEsXNCwk4dZUbXCtDTwGC0XPRAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"18a7b9c0302a33ce57970cd80120f9882829b0dff14e9b2695108ac233bbab8f","last_reissued_at":"2026-08-03T01:19:06.597183Z","signature_status":"signed_v1","first_computed_at":"2026-08-03T01:19:06.597183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.29092","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":"2026-08-03T01:19:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CE8iVVw1xGkTU8g+DVNZfEL8yp92wofVUC8c97I6KnqEzV6Wtj9dLE7vtttOIDItk/z3cZIF3/wefa4u57M2Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:16:38.414264Z"},"content_sha256":"b520c93ce4deb938c9b589fc1a8026f72b6f038b5762019f4f262fdea3dcd590","schema_version":"1.0","event_id":"sha256:b520c93ce4deb938c9b589fc1a8026f72b6f038b5762019f4f262fdea3dcd590"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:DCT3TQBQFIZ44V4XBTMACIHZRA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MATERO-RCA: Mode-Aware Trajectory-Level Energy-Based Root-Set Optimization for Industrial Root Cause Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Chengyu Tao, Chunxi Huang, Runquan Xiao","submitted_at":"2026-07-31T07:17:38Z","abstract_excerpt":"Root cause analysis (RCA) for contextual anomalies in industrial time series is challenging because responses depend jointly on control commands, operating states, and coupled physical variables. A response can appear marginally normal yet violate its operating context. Events may involve multiple roots and alarms, with each root assigned an observation-only effect confined to its recorded trajectory or a physical-propagation effect on descendants. We propose Mode-Aware Trajectory-Level Energy-Based Root-Set Optimization for Root Cause Analysis (MATERO-RCA), which jointly optimizes a root set,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.29092","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/2607.29092/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":"2026-08-03T01:19:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hwd5aGRLvj/XD2n/DD1EVxcZvwlWTnIQfBbWCDHnwEUt6TIHjVQq0TicVxNmK8Yd2jV0sydaqHxWrxc9ybMODw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:16:38.415899Z"},"content_sha256":"77cb429a38ce15e02155d36904733a921dbf0153ea8868e8d3758062840a9fc5","schema_version":"1.0","event_id":"sha256:77cb429a38ce15e02155d36904733a921dbf0153ea8868e8d3758062840a9fc5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DCT3TQBQFIZ44V4XBTMACIHZRA/bundle.json","state_url":"https://pith.science/pith/DCT3TQBQFIZ44V4XBTMACIHZRA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DCT3TQBQFIZ44V4XBTMACIHZRA/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":"2026-08-05T15:16:38Z","links":{"resolver":"https://pith.science/pith/DCT3TQBQFIZ44V4XBTMACIHZRA","bundle":"https://pith.science/pith/DCT3TQBQFIZ44V4XBTMACIHZRA/bundle.json","state":"https://pith.science/pith/DCT3TQBQFIZ44V4XBTMACIHZRA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DCT3TQBQFIZ44V4XBTMACIHZRA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DCT3TQBQFIZ44V4XBTMACIHZRA","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":"d55b40da5ec8b58cca876315b1783c451af5e687aa53b2cc1a27f5f08d6bfedd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-07-31T07:17:38Z","title_canon_sha256":"f95c7c0b0df3b9e4c1f1eb5a88eaad606fc5666edaeb6b9c8ecde61f0aa8df59"},"schema_version":"1.0","source":{"id":"2607.29092","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.29092","created_at":"2026-08-03T01:19:06Z"},{"alias_kind":"arxiv_version","alias_value":"2607.29092v1","created_at":"2026-08-03T01:19:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.29092","created_at":"2026-08-03T01:19:06Z"},{"alias_kind":"pith_short_12","alias_value":"DCT3TQBQFIZ4","created_at":"2026-08-03T01:19:06Z"},{"alias_kind":"pith_short_16","alias_value":"DCT3TQBQFIZ44V4X","created_at":"2026-08-03T01:19:06Z"},{"alias_kind":"pith_short_8","alias_value":"DCT3TQBQ","created_at":"2026-08-03T01:19:06Z"}],"graph_snapshots":[{"event_id":"sha256:77cb429a38ce15e02155d36904733a921dbf0153ea8868e8d3758062840a9fc5","target":"graph","created_at":"2026-08-03T01:19:06Z","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/2607.29092/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Root cause analysis (RCA) for contextual anomalies in industrial time series is challenging because responses depend jointly on control commands, operating states, and coupled physical variables. A response can appear marginally normal yet violate its operating context. Events may involve multiple roots and alarms, with each root assigned an observation-only effect confined to its recorded trajectory or a physical-propagation effect on descendants. We propose Mode-Aware Trajectory-Level Energy-Based Root-Set Optimization for Root Cause Analysis (MATERO-RCA), which jointly optimizes a root set,","authors_text":"Chengyu Tao, Chunxi Huang, Runquan Xiao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-07-31T07:17:38Z","title":"MATERO-RCA: Mode-Aware Trajectory-Level Energy-Based Root-Set Optimization for Industrial Root Cause Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.29092","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:b520c93ce4deb938c9b589fc1a8026f72b6f038b5762019f4f262fdea3dcd590","target":"record","created_at":"2026-08-03T01:19:06Z","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":"d55b40da5ec8b58cca876315b1783c451af5e687aa53b2cc1a27f5f08d6bfedd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-07-31T07:17:38Z","title_canon_sha256":"f95c7c0b0df3b9e4c1f1eb5a88eaad606fc5666edaeb6b9c8ecde61f0aa8df59"},"schema_version":"1.0","source":{"id":"2607.29092","kind":"arxiv","version":1}},"canonical_sha256":"18a7b9c0302a33ce57970cd80120f9882829b0dff14e9b2695108ac233bbab8f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"18a7b9c0302a33ce57970cd80120f9882829b0dff14e9b2695108ac233bbab8f","first_computed_at":"2026-08-03T01:19:06.597183Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-03T01:19:06.597183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ToXsni8naslkAhGuO4GRkUv160uEttabgw4QPoGHixk/UpNCf7MXrUGwmZgFEsXNCwk4dZUbXCtDTwGC0XPRAA==","signature_status":"signed_v1","signed_at":"2026-08-03T01:19:06.598795Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.29092","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b520c93ce4deb938c9b589fc1a8026f72b6f038b5762019f4f262fdea3dcd590","sha256:77cb429a38ce15e02155d36904733a921dbf0153ea8868e8d3758062840a9fc5"],"state_sha256":"937009c97c1c8dad9590ea7096d965689a50895f5621caa4b4eefeb0f39a18b7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/d89c71o7lGB1bKcrbeJwTYBERNtLQlfqiyZQvqI6WwvuHSakKVwE+tt3zeg6zKxfpRAYp9LCntSkEQeQG8WBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T15:16:38.424646Z","bundle_sha256":"7bb1fa44b7fcf7b5109588e852f83001432beb2d54f768c633dbb0f758d32eb8"}}