{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BNCUOOCFAG4GTGDH3JD5BWLHUK","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":"69bc96d10f26bf71b68b6eca7dc806e509a6e7e7d857caedadf13cb4280bfa0d","cross_cats_sorted":["cs.LG","physics.data-an"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nlin.CD","submitted_at":"2026-06-05T15:22:57Z","title_canon_sha256":"c5baefafae03bfcf69b17b8c4a083af418266a300b7f37d303ec8c7ccff2cf2f"},"schema_version":"1.0","source":{"id":"2606.07385","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.07385","created_at":"2026-06-08T01:05:23Z"},{"alias_kind":"arxiv_version","alias_value":"2606.07385v1","created_at":"2026-06-08T01:05:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07385","created_at":"2026-06-08T01:05:23Z"},{"alias_kind":"pith_short_12","alias_value":"BNCUOOCFAG4G","created_at":"2026-06-08T01:05:23Z"},{"alias_kind":"pith_short_16","alias_value":"BNCUOOCFAG4GTGDH","created_at":"2026-06-08T01:05:23Z"},{"alias_kind":"pith_short_8","alias_value":"BNCUOOCF","created_at":"2026-06-08T01:05:23Z"}],"graph_snapshots":[{"event_id":"sha256:31907096d1ea73e7c358101b0bfc99ce800a0bbaa4708102ae6ecdf14a3a2261","target":"graph","created_at":"2026-06-08T01:05:23Z","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/2606.07385/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detecting transient chaos from scalar observations without governing equations represents a fundamental challenge in nonlinear dynamics. We propose a geometry-guided machine learning framework that unifies predictive trajectory divergence with macroscopic attractor morphology to track abrupt regime shifts. The methodology extracts a local instability scale via out-of-sample k-nearest neighbor forecast errors to establish the ML-FTLE estimator, subsequently mapping this temporal divergence onto a structural closeness matrix derived from a minimal dictionary of Poincare occupancy grids. By emplo","authors_text":"Andrei Velichko, I. Manimehan, S. V. Manivelan","cross_cats":["cs.LG","physics.data-an"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nlin.CD","submitted_at":"2026-06-05T15:22:57Z","title":"Unified Geometry-Guided ML-FTLE for Tracking Transient Chaos from Scalar Time Series"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07385","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:a6b9fdfd4126d676c080b5cc457e162ffe3ac95189af4dc2a449284f20cec900","target":"record","created_at":"2026-06-08T01:05:23Z","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":"69bc96d10f26bf71b68b6eca7dc806e509a6e7e7d857caedadf13cb4280bfa0d","cross_cats_sorted":["cs.LG","physics.data-an"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nlin.CD","submitted_at":"2026-06-05T15:22:57Z","title_canon_sha256":"c5baefafae03bfcf69b17b8c4a083af418266a300b7f37d303ec8c7ccff2cf2f"},"schema_version":"1.0","source":{"id":"2606.07385","kind":"arxiv","version":1}},"canonical_sha256":"0b4547384501b8699867da47d0d967a2946bb8cd73c23d7ccf2f1a4274ed91a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b4547384501b8699867da47d0d967a2946bb8cd73c23d7ccf2f1a4274ed91a6","first_computed_at":"2026-06-08T01:05:23.872149Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-08T01:05:23.872149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hCy0eC6VGTT6uosFa6A+BB5MVmXToWPNLTM6mCxAeSvdEYM7mK2dQZW22qjjMKtChvpLVY6/FSgWr3OgPqdlDQ==","signature_status":"signed_v1","signed_at":"2026-06-08T01:05:23.872933Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.07385","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6b9fdfd4126d676c080b5cc457e162ffe3ac95189af4dc2a449284f20cec900","sha256:31907096d1ea73e7c358101b0bfc99ce800a0bbaa4708102ae6ecdf14a3a2261"],"state_sha256":"d1bbaf0f1a619291b3b5fca6955177aa758f254a84d94716368324926da56d67"}