{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:653ILIOIEXILIURIVU5AX45CCQ","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":"ddbf1d239ca67317bd1dedb859592620693edba89d376ab3c1c0c4c2e8df5dce","cross_cats_sorted":["math.ST","stat.CO","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2025-12-18T21:04:12Z","title_canon_sha256":"16d3b8fc3238180058f6149205e3120a9001507a9be052a500ac96f30ef6bad9"},"schema_version":"1.0","source":{"id":"2512.17064","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.17064","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"arxiv_version","alias_value":"2512.17064v2","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.17064","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"pith_short_12","alias_value":"653ILIOIEXIL","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"pith_short_16","alias_value":"653ILIOIEXILIURI","created_at":"2026-05-26T01:03:20Z"},{"alias_kind":"pith_short_8","alias_value":"653ILIOI","created_at":"2026-05-26T01:03:20Z"}],"graph_snapshots":[{"event_id":"sha256:e8dcdd1f8563283f593ca0cbedd40fd98c97a5cc09e2f2bd26fa9307074f28ed","target":"graph","created_at":"2026-05-26T01:03:20Z","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/2512.17064/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Finite State Projection (FSP) method approximates the Chemical Master Equation (CME) by restricting the dynamics to a finite subset of the (typically infinite) state space, enabling direct numerical solution with computable error bounds. Adaptive variants update this subset in time, but multiscale systems with widely separated reaction rates remain challenging, as low-probability bottleneck states can carry essential probability flux and the dynamics alternate between fast transients and slowly evolving stiff regimes. We propose a flux-based adaptive FSP method that uses probability flux t","authors_text":"Aditya Dendukuri, Linda Petzold, Shivkumar Chandrasekaran","cross_cats":["math.ST","stat.CO","stat.TH"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2025-12-18T21:04:12Z","title":"Flux-Preserving Adaptive Finite State Projection for Multiscale Stochastic Reaction Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.17064","kind":"arxiv","version":2},"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:bf533a3cd37f3835ac369563f091fcd807ceec9e576a20899ae92cddbb23663e","target":"record","created_at":"2026-05-26T01:03:20Z","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":"ddbf1d239ca67317bd1dedb859592620693edba89d376ab3c1c0c4c2e8df5dce","cross_cats_sorted":["math.ST","stat.CO","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2025-12-18T21:04:12Z","title_canon_sha256":"16d3b8fc3238180058f6149205e3120a9001507a9be052a500ac96f30ef6bad9"},"schema_version":"1.0","source":{"id":"2512.17064","kind":"arxiv","version":2}},"canonical_sha256":"f77685a1c825d0b45228ad3a0bf3a214298b480b79e77b5023d9ee27f8cc2578","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f77685a1c825d0b45228ad3a0bf3a214298b480b79e77b5023d9ee27f8cc2578","first_computed_at":"2026-05-26T01:03:20.783932Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:03:20.783932Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dtjOk14cKH4JSxw4F6C6Aa8JNNa95ntrnZfUZhqs2/twBJMg9fSNrndDqWuXxL3FqKacbxIfVoQEG4rr1+laBA==","signature_status":"signed_v1","signed_at":"2026-05-26T01:03:20.784698Z","signed_message":"canonical_sha256_bytes"},"source_id":"2512.17064","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bf533a3cd37f3835ac369563f091fcd807ceec9e576a20899ae92cddbb23663e","sha256:e8dcdd1f8563283f593ca0cbedd40fd98c97a5cc09e2f2bd26fa9307074f28ed"],"state_sha256":"c0037e118dd53d502b12b35e99db70ed28e08362c0031f895c2ef722ec29af27"}