{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4DQRN6HC23TJMHJK76YA7FQ7L2","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":"34cdb1e0ebbf65b19743c78b0a45f320cc34e6ddc993ee03756a0f03064e0061","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2026-05-19T18:57:35Z","title_canon_sha256":"2bc96dd9bb1f27ceed2f5c7c771a65ffa3daee744961c0d3ea33c2b9ffe8ad34"},"schema_version":"1.0","source":{"id":"2605.20400","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20400","created_at":"2026-05-21T01:04:36Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20400v1","created_at":"2026-05-21T01:04:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20400","created_at":"2026-05-21T01:04:36Z"},{"alias_kind":"pith_short_12","alias_value":"4DQRN6HC23TJ","created_at":"2026-05-21T01:04:36Z"},{"alias_kind":"pith_short_16","alias_value":"4DQRN6HC23TJMHJK","created_at":"2026-05-21T01:04:36Z"},{"alias_kind":"pith_short_8","alias_value":"4DQRN6HC","created_at":"2026-05-21T01:04:36Z"}],"graph_snapshots":[{"event_id":"sha256:d1d973e7419eb937ca9552c65a8f92a0f92e8303b6ff07607cb222a2c516c4c5","target":"graph","created_at":"2026-05-21T01:04:36Z","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/2605.20400/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Infrastructure deterioration poses significant challenges for asset management, yet existing approaches rely on population-averaged models that overlook equipment-specific heterogeneity. We present a novel framework that combines Bayesian hierarchical hazard modeling with causal discovery to identify operational patterns that drive heterogeneous deterioration rates in pump equipment. Our approach first estimates pump-specific random effects $u_i$ using GPU-accelerated No-U-Turn Sampling (NUTS), achieving 3--5$\\times$ speedup over CPU implementations. We then employ DirectLiNGAM to discover cau","authors_text":"Takato Yasuno","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2026-05-19T18:57:35Z","title":"Understanding Deterioration Random Effects for Causal Discovery in Infrastructure Management"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20400","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":"sha256:66659320f0d8ae5fb8b9c381991cc467f5cb21c77e3d8888bb98d5c84d5e08f3","target":"record","created_at":"2026-05-21T01:04:36Z","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":"34cdb1e0ebbf65b19743c78b0a45f320cc34e6ddc993ee03756a0f03064e0061","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2026-05-19T18:57:35Z","title_canon_sha256":"2bc96dd9bb1f27ceed2f5c7c771a65ffa3daee744961c0d3ea33c2b9ffe8ad34"},"schema_version":"1.0","source":{"id":"2605.20400","kind":"arxiv","version":1}},"canonical_sha256":"e0e116f8e2d6e6961d2affb00f961f5e979378061d88e5981c977bb6cf13ff9c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0e116f8e2d6e6961d2affb00f961f5e979378061d88e5981c977bb6cf13ff9c","first_computed_at":"2026-05-21T01:04:36.573610Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T01:04:36.573610Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AITI0fEbqPXR+wDFjUf+CJgWOBpbOIYHoUtjhG+qI8NjcIkW3u+iHrCATY1jJ/AGsjhwcPBz4Btv1qFIVFmvDw==","signature_status":"signed_v1","signed_at":"2026-05-21T01:04:36.574289Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.20400","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66659320f0d8ae5fb8b9c381991cc467f5cb21c77e3d8888bb98d5c84d5e08f3","sha256:d1d973e7419eb937ca9552c65a8f92a0f92e8303b6ff07607cb222a2c516c4c5"],"state_sha256":"f878d1f95b8f27006f55cdcbb1eed1c839b79285965ff0f7b4cdf1c080bd815f"}