{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:YLIKJQKMMKFLILENL4BQCAUI3V","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":"600bea73b535545da9648abf747cdb1c5af764adb175ad1c0b692d805c798110","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2016-08-29T18:39:25Z","title_canon_sha256":"ee3a2640a3a9582fa2be28e5ea5dd6ddbc9f704ad7708530c6e68d53e526147e"},"schema_version":"1.0","source":{"id":"1608.08174","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.08174","created_at":"2026-05-18T00:49:15Z"},{"alias_kind":"arxiv_version","alias_value":"1608.08174v2","created_at":"2026-05-18T00:49:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.08174","created_at":"2026-05-18T00:49:15Z"},{"alias_kind":"pith_short_12","alias_value":"YLIKJQKMMKFL","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"YLIKJQKMMKFLILEN","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"YLIKJQKM","created_at":"2026-05-18T12:30:53Z"}],"graph_snapshots":[{"event_id":"sha256:286cd4c5871476a714c565ee77d1adf347868e7a95fe6ecf868a2f4ea656a42b","target":"graph","created_at":"2026-05-18T00:49:15Z","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":"Reaction-diffusion models are widely used to study spatially-extended chemical reaction systems. In order to understand how the dynamics of a reaction-diffusion model are affected by changes in its input parameters, efficient methods for computing parametric sensitivities are required. In this work, we focus on stochastic models of spatially-extended chemical reaction systems that involve partitioning the computational domain into voxels. Parametric sensitivities are often calculated using Monte Carlo techniques that are typically computationally expensive; however, variance reduction techniqu","authors_text":"Christian A. Yates, Christopher Lester, Ruth E. Baker","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2016-08-29T18:39:25Z","title":"Efficient parameter sensitivity computation for spatially-extended reaction networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.08174","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":"sha256:2188c69d89d87f77b95f44bd0b65dcfc1fe6779d072d193bde97443a4509fb51","target":"record","created_at":"2026-05-18T00:49:15Z","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":"600bea73b535545da9648abf747cdb1c5af764adb175ad1c0b692d805c798110","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2016-08-29T18:39:25Z","title_canon_sha256":"ee3a2640a3a9582fa2be28e5ea5dd6ddbc9f704ad7708530c6e68d53e526147e"},"schema_version":"1.0","source":{"id":"1608.08174","kind":"arxiv","version":2}},"canonical_sha256":"c2d0a4c14c628ab42c8d5f03010288dd6a969b8a1a2403808f9dbc8b6080e47a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c2d0a4c14c628ab42c8d5f03010288dd6a969b8a1a2403808f9dbc8b6080e47a","first_computed_at":"2026-05-18T00:49:15.942531Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:49:15.942531Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AibxEgda3bvsFcj7Y8AqcZxfUSG/fptbyNDSCnC9VUvblGYDYvhwJR4swCX7Y9lpDN2oSXk90/wWiO/IqpnuAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:49:15.943012Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.08174","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2188c69d89d87f77b95f44bd0b65dcfc1fe6779d072d193bde97443a4509fb51","sha256:286cd4c5871476a714c565ee77d1adf347868e7a95fe6ecf868a2f4ea656a42b"],"state_sha256":"ee35b64223d33f29b683984dfba33f165abb43397e1910961ab85d952adabdf1"}