{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:OPNGWWW3IZUD6ZFOZWRJ4U2ABS","short_pith_number":"pith:OPNGWWW3","canonical_record":{"source":{"id":"1104.1274","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-04-07T09:07:39Z","cross_cats_sorted":["q-bio.QM"],"title_canon_sha256":"cdeae9851e1708b6fd24c943d1148f250c4c1e155a3760923ea1aa758929ca63","abstract_canon_sha256":"009bba329fbc51ebcfa8b67505bfdb67e13b08bb410ecb26add6e8095b55bcce"},"schema_version":"1.0"},"canonical_sha256":"73da6b5adb46683f64aecda29e53400cab908f0debaa0213b5286858fa5b2905","source":{"kind":"arxiv","id":"1104.1274","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1104.1274","created_at":"2026-05-18T02:02:36Z"},{"alias_kind":"arxiv_version","alias_value":"1104.1274v1","created_at":"2026-05-18T02:02:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1104.1274","created_at":"2026-05-18T02:02:36Z"},{"alias_kind":"pith_short_12","alias_value":"OPNGWWW3IZUD","created_at":"2026-05-18T12:26:37Z"},{"alias_kind":"pith_short_16","alias_value":"OPNGWWW3IZUD6ZFO","created_at":"2026-05-18T12:26:37Z"},{"alias_kind":"pith_short_8","alias_value":"OPNGWWW3","created_at":"2026-05-18T12:26:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:OPNGWWW3IZUD6ZFOZWRJ4U2ABS","target":"record","payload":{"canonical_record":{"source":{"id":"1104.1274","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-04-07T09:07:39Z","cross_cats_sorted":["q-bio.QM"],"title_canon_sha256":"cdeae9851e1708b6fd24c943d1148f250c4c1e155a3760923ea1aa758929ca63","abstract_canon_sha256":"009bba329fbc51ebcfa8b67505bfdb67e13b08bb410ecb26add6e8095b55bcce"},"schema_version":"1.0"},"canonical_sha256":"73da6b5adb46683f64aecda29e53400cab908f0debaa0213b5286858fa5b2905","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:02:36.846191Z","signature_b64":"oBkengiWkEc7n75Xcvz5dcrfHhLyiArly/SHpDcDXT/aorKrbjdnJxECwbDcqtaq0aWxmDj+pCEVPp3Y2I1qCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"73da6b5adb46683f64aecda29e53400cab908f0debaa0213b5286858fa5b2905","last_reissued_at":"2026-05-18T02:02:36.845391Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:02:36.845391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1104.1274","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:02:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z0Y2LH8vXpkma78t3WTyU2oHj9t/O4LdpHt9Cj4Bvjjow9RCBk673iCvsh66sJnmK1FdE4yKHcn+sOe8XKi9BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T07:12:17.841368Z"},"content_sha256":"456faf3d5f0064ca40fe9393271f4b83bb17da3185138e49a0b8155ca664534b","schema_version":"1.0","event_id":"sha256:456faf3d5f0064ca40fe9393271f4b83bb17da3185138e49a0b8155ca664534b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:OPNGWWW3IZUD6ZFOZWRJ4U2ABS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sensitivity, robustness and identifiability in stochastic chemical kinetics models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.QM"],"primary_cat":"stat.AP","authors_text":"David A. Rand, Maria J. Costa, Michael Stumpf, Michal Komorowski","submitted_at":"2011-04-07T09:07:39Z","abstract_excerpt":"We present a novel and simple method to numerically calculate Fisher Information Matrices for stochastic chemical kinetics models. The linear noise approximation is used to derive model equations and a likelihood function which leads to an efficient computational algorithm. Our approach reduces the problem of calculating the Fisher Information Matrix to solving a set of ordinary differential equations. {This is the first method to compute Fisher Information for stochastic chemical kinetics models without the need for Monte Carlo simulations.} This methodology is then used to study sensitivity,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1104.1274","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:02:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z163ts24I1Fj0wENmOddReapJOMACUPtgrNJSk3ATqiNHj703ZseOSnTkiw+6ZIAxyfxmPSG0ATFx1/rF4LQCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T07:12:17.842010Z"},"content_sha256":"57593866708000e28034b308fae9e0f032d076b6ca07c7db275c4f6b4c78d1cb","schema_version":"1.0","event_id":"sha256:57593866708000e28034b308fae9e0f032d076b6ca07c7db275c4f6b4c78d1cb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OPNGWWW3IZUD6ZFOZWRJ4U2ABS/bundle.json","state_url":"https://pith.science/pith/OPNGWWW3IZUD6ZFOZWRJ4U2ABS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OPNGWWW3IZUD6ZFOZWRJ4U2ABS/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-26T07:12:17Z","links":{"resolver":"https://pith.science/pith/OPNGWWW3IZUD6ZFOZWRJ4U2ABS","bundle":"https://pith.science/pith/OPNGWWW3IZUD6ZFOZWRJ4U2ABS/bundle.json","state":"https://pith.science/pith/OPNGWWW3IZUD6ZFOZWRJ4U2ABS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OPNGWWW3IZUD6ZFOZWRJ4U2ABS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:OPNGWWW3IZUD6ZFOZWRJ4U2ABS","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":"009bba329fbc51ebcfa8b67505bfdb67e13b08bb410ecb26add6e8095b55bcce","cross_cats_sorted":["q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-04-07T09:07:39Z","title_canon_sha256":"cdeae9851e1708b6fd24c943d1148f250c4c1e155a3760923ea1aa758929ca63"},"schema_version":"1.0","source":{"id":"1104.1274","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1104.1274","created_at":"2026-05-18T02:02:36Z"},{"alias_kind":"arxiv_version","alias_value":"1104.1274v1","created_at":"2026-05-18T02:02:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1104.1274","created_at":"2026-05-18T02:02:36Z"},{"alias_kind":"pith_short_12","alias_value":"OPNGWWW3IZUD","created_at":"2026-05-18T12:26:37Z"},{"alias_kind":"pith_short_16","alias_value":"OPNGWWW3IZUD6ZFO","created_at":"2026-05-18T12:26:37Z"},{"alias_kind":"pith_short_8","alias_value":"OPNGWWW3","created_at":"2026-05-18T12:26:37Z"}],"graph_snapshots":[{"event_id":"sha256:57593866708000e28034b308fae9e0f032d076b6ca07c7db275c4f6b4c78d1cb","target":"graph","created_at":"2026-05-18T02:02:36Z","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 present a novel and simple method to numerically calculate Fisher Information Matrices for stochastic chemical kinetics models. The linear noise approximation is used to derive model equations and a likelihood function which leads to an efficient computational algorithm. Our approach reduces the problem of calculating the Fisher Information Matrix to solving a set of ordinary differential equations. {This is the first method to compute Fisher Information for stochastic chemical kinetics models without the need for Monte Carlo simulations.} This methodology is then used to study sensitivity,","authors_text":"David A. Rand, Maria J. Costa, Michael Stumpf, Michal Komorowski","cross_cats":["q-bio.QM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-04-07T09:07:39Z","title":"Sensitivity, robustness and identifiability in stochastic chemical kinetics models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1104.1274","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":"sha256:456faf3d5f0064ca40fe9393271f4b83bb17da3185138e49a0b8155ca664534b","target":"record","created_at":"2026-05-18T02:02:36Z","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":"009bba329fbc51ebcfa8b67505bfdb67e13b08bb410ecb26add6e8095b55bcce","cross_cats_sorted":["q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-04-07T09:07:39Z","title_canon_sha256":"cdeae9851e1708b6fd24c943d1148f250c4c1e155a3760923ea1aa758929ca63"},"schema_version":"1.0","source":{"id":"1104.1274","kind":"arxiv","version":1}},"canonical_sha256":"73da6b5adb46683f64aecda29e53400cab908f0debaa0213b5286858fa5b2905","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"73da6b5adb46683f64aecda29e53400cab908f0debaa0213b5286858fa5b2905","first_computed_at":"2026-05-18T02:02:36.845391Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:02:36.845391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oBkengiWkEc7n75Xcvz5dcrfHhLyiArly/SHpDcDXT/aorKrbjdnJxECwbDcqtaq0aWxmDj+pCEVPp3Y2I1qCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T02:02:36.846191Z","signed_message":"canonical_sha256_bytes"},"source_id":"1104.1274","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:456faf3d5f0064ca40fe9393271f4b83bb17da3185138e49a0b8155ca664534b","sha256:57593866708000e28034b308fae9e0f032d076b6ca07c7db275c4f6b4c78d1cb"],"state_sha256":"2eebc4da07514278c42a8523be4366d58c73fb52e099e4d5b5072a563e49c18f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s2x0B85fquPoaKP4YJgpGWdOqGfHctW/SLVXdYBBync1BX46u94KUo25C6I0dOUyN863n6qBY48jBN0t7slgCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T07:12:17.845549Z","bundle_sha256":"3f057d2d071a1ef24e44de84b444d6bfce32b60bfb5ec000dc303f5106781d9b"}}