{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:Q4NNY5XSGPJDICNXKDIHZASOWX","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":"7cefbb59692aef9e0580f7fc1bb38afa1386d950f43b3c10fdc6cb075436c764","cross_cats_sorted":["cs.SY","stat.CO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2026-05-14T10:17:43Z","title_canon_sha256":"428a6a12382a0166361ee93de5fafd19968977655b79230c5bbc05272f8aedbb"},"schema_version":"1.0","source":{"id":"2605.26123","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.26123","created_at":"2026-05-27T00:04:24Z"},{"alias_kind":"arxiv_version","alias_value":"2605.26123v1","created_at":"2026-05-27T00:04:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26123","created_at":"2026-05-27T00:04:24Z"},{"alias_kind":"pith_short_12","alias_value":"Q4NNY5XSGPJD","created_at":"2026-05-27T00:04:24Z"},{"alias_kind":"pith_short_16","alias_value":"Q4NNY5XSGPJDICNX","created_at":"2026-05-27T00:04:24Z"},{"alias_kind":"pith_short_8","alias_value":"Q4NNY5XS","created_at":"2026-05-27T00:04:24Z"}],"graph_snapshots":[{"event_id":"sha256:f76342f4f7fc6356fd7fc2962b8178c8816b7ec007b395bb3ae07577401e9afb","target":"graph","created_at":"2026-05-27T00:04:24Z","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/2605.26123/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The operational reliability of a high performance marine vessel depends critically on the health of its marine propulsion systems, which are increasingly subjected to diverse operational loads and environmental stressors. This paper proposes a robust mathematical framework for non-linear state-space forecasting of marine engine parameters using adaptive-window multi-particle stochastic differential equations. Traditional time-series models such as Vector Autoregressive Integrated Moving Average, often fail to capture the inherent stochasticity and transient dynamics of complex systems due to t","authors_text":"Soumyendu Raha, Y. Harsha Vardhana Reddy","cross_cats":["cs.SY","stat.CO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2026-05-14T10:17:43Z","title":"Low Latency Stand Alone Compute-Efficient Forecasting of Marine Engine Time Series Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26123","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":"sha256:15cef53af253e3e1b7d5bb8bb3abf1f1bcb1d3a2b579f31bcd7e578bc62293d6","target":"record","created_at":"2026-05-27T00:04:24Z","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":"7cefbb59692aef9e0580f7fc1bb38afa1386d950f43b3c10fdc6cb075436c764","cross_cats_sorted":["cs.SY","stat.CO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2026-05-14T10:17:43Z","title_canon_sha256":"428a6a12382a0166361ee93de5fafd19968977655b79230c5bbc05272f8aedbb"},"schema_version":"1.0","source":{"id":"2605.26123","kind":"arxiv","version":1}},"canonical_sha256":"871adc76f233d23409b750d07c824eb5ccc95a4f0b36a407f4a58caac2020416","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"871adc76f233d23409b750d07c824eb5ccc95a4f0b36a407f4a58caac2020416","first_computed_at":"2026-05-27T00:04:24.916656Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T00:04:24.916656Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y5Y2sXmD8eo5HuRJMiVFqTXSWq+2GT9LBd/8OVbLlCLcjYWV+gejmgezESKQh+ncD8B+YT62EmKram0CtArZCg==","signature_status":"signed_v1","signed_at":"2026-05-27T00:04:24.917392Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.26123","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:15cef53af253e3e1b7d5bb8bb3abf1f1bcb1d3a2b579f31bcd7e578bc62293d6","sha256:f76342f4f7fc6356fd7fc2962b8178c8816b7ec007b395bb3ae07577401e9afb"],"state_sha256":"488052b1db142722848e339ad9293a1340ed2c2a839e90e358d19a50eb9aa94f"}