{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:J4AV4LFQXGYOK6MK2JD26XZRC4","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":"0ac73de09af39b05c3b4ac3d99b468f3f23a3d16edae4b6aa2cbf94f67528051","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2018-01-15T09:13:35Z","title_canon_sha256":"55b0a0db2f1f25d9c43ac638e03f8b82a080188181523fc472915f01fce0b71e"},"schema_version":"1.0","source":{"id":"1801.04708","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.04708","created_at":"2026-05-18T00:04:30Z"},{"alias_kind":"arxiv_version","alias_value":"1801.04708v2","created_at":"2026-05-18T00:04:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.04708","created_at":"2026-05-18T00:04:30Z"},{"alias_kind":"pith_short_12","alias_value":"J4AV4LFQXGYO","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"J4AV4LFQXGYOK6MK","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"J4AV4LFQ","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:0b69041d4ec5261d0f178592ffba1ecd9336d9bae3fe62096329b82cbf4e0d09","target":"graph","created_at":"2026-05-18T00:04:30Z","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"},"paper":{"abstract_excerpt":"We consider the problem of estimating parameter sensitivities for stochastic models of multiscale reaction networks. These sensitivity values are important for model analysis, and, the methods that currently exist for sensitivity estimation mostly rely on simulations of the stochastic dynamics. This is problematic because these simulations become computationally infeasible for multiscale networks due to reactions firing at several different timescales. However it is often possible to exploit the multiscale property to derive a \"model reduction\" and approximate the dynamics as a Piecewise Deter","authors_text":"Ankit Gupta, Mustafa Khammash","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2018-01-15T09:13:35Z","title":"Sensitivity analysis for multiscale stochastic reaction networks using hybrid approximations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.04708","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:afda95a1d9147898857b9671bf3162fd766c04c715106997dd386ea71c8628ec","target":"record","created_at":"2026-05-18T00:04:30Z","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":"0ac73de09af39b05c3b4ac3d99b468f3f23a3d16edae4b6aa2cbf94f67528051","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2018-01-15T09:13:35Z","title_canon_sha256":"55b0a0db2f1f25d9c43ac638e03f8b82a080188181523fc472915f01fce0b71e"},"schema_version":"1.0","source":{"id":"1801.04708","kind":"arxiv","version":2}},"canonical_sha256":"4f015e2cb0b9b0e5798ad247af5f31170fcad2df0be620ced67d9cfe3565d691","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f015e2cb0b9b0e5798ad247af5f31170fcad2df0be620ced67d9cfe3565d691","first_computed_at":"2026-05-18T00:04:30.403487Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:04:30.403487Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1TAw3zmM2rdpvrnuQGQMdIK5xtcVt3eH4tyKsF087IX1Y0SnbCEJaJC4Vn2IxEFhD6OuHzIoXl1RGElsCUrsCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:04:30.403928Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.04708","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:afda95a1d9147898857b9671bf3162fd766c04c715106997dd386ea71c8628ec","sha256:0b69041d4ec5261d0f178592ffba1ecd9336d9bae3fe62096329b82cbf4e0d09"],"state_sha256":"3d646aa80df5860fffe93cbfc298edef7279eae21c250225a5f4511c600467cf"}