{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:D6IHNCPO6GI4DCLNSJJRYNOQVO","short_pith_number":"pith:D6IHNCPO","schema_version":"1.0","canonical_sha256":"1f907689eef191c1896d92531c35d0ab9173ccdd394c2f79a584d079f5f4698f","source":{"kind":"arxiv","id":"1812.04299","version":1},"attestation_state":"computed","paper":{"title":"A finite state projection method for steady-state sensitivity analysis of stochastic reaction networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.PR","q-bio.MN"],"primary_cat":"q-bio.QM","authors_text":"Ankit Gupta, Mustafa Khammash, Patrik D\\\"urrenberger","submitted_at":"2018-12-11T09:40:28Z","abstract_excerpt":"Consider the standard stochastic reaction network model where the dynamics is given by a continuous-time Markov chain over a discrete lattice. For such models, estimation of parameter sensitivities is an important problem, but the existing computational approaches to solve this problem usually require time-consuming Monte Carlo simulations of the reaction dynamics. Therefore these simulation-based approaches can only be expected to work over finite time-intervals, while it is often of interest in applications to examine the sensitivity values at the steady-state after the Markov chain has rela"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1812.04299","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2018-12-11T09:40:28Z","cross_cats_sorted":["math.PR","q-bio.MN"],"title_canon_sha256":"203f1fecaef64642667cc91b2fdd62b8604ce221bb83c6143c61671b2b9b93df","abstract_canon_sha256":"5cbc2695b0acf65702c2930ecce569cb60565fe219b22485dd9a55f1e0e4dee7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:19.685407Z","signature_b64":"Rzaj85okSGSJRgfxZ56nm5KyTgBA80S22mNjDvgYsTr5tVlYC6Ygbw4Q/w1RuCnua5BjmtE3/51aufYhMwRABQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f907689eef191c1896d92531c35d0ab9173ccdd394c2f79a584d079f5f4698f","last_reissued_at":"2026-05-17T23:47:19.684995Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:19.684995Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A finite state projection method for steady-state sensitivity analysis of stochastic reaction networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.PR","q-bio.MN"],"primary_cat":"q-bio.QM","authors_text":"Ankit Gupta, Mustafa Khammash, Patrik D\\\"urrenberger","submitted_at":"2018-12-11T09:40:28Z","abstract_excerpt":"Consider the standard stochastic reaction network model where the dynamics is given by a continuous-time Markov chain over a discrete lattice. For such models, estimation of parameter sensitivities is an important problem, but the existing computational approaches to solve this problem usually require time-consuming Monte Carlo simulations of the reaction dynamics. Therefore these simulation-based approaches can only be expected to work over finite time-intervals, while it is often of interest in applications to examine the sensitivity values at the steady-state after the Markov chain has rela"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.04299","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1812.04299","created_at":"2026-05-17T23:47:19.685054+00:00"},{"alias_kind":"arxiv_version","alias_value":"1812.04299v1","created_at":"2026-05-17T23:47:19.685054+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.04299","created_at":"2026-05-17T23:47:19.685054+00:00"},{"alias_kind":"pith_short_12","alias_value":"D6IHNCPO6GI4","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_16","alias_value":"D6IHNCPO6GI4DCLN","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_8","alias_value":"D6IHNCPO","created_at":"2026-05-18T12:32:19.392346+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/D6IHNCPO6GI4DCLNSJJRYNOQVO","json":"https://pith.science/pith/D6IHNCPO6GI4DCLNSJJRYNOQVO.json","graph_json":"https://pith.science/api/pith-number/D6IHNCPO6GI4DCLNSJJRYNOQVO/graph.json","events_json":"https://pith.science/api/pith-number/D6IHNCPO6GI4DCLNSJJRYNOQVO/events.json","paper":"https://pith.science/paper/D6IHNCPO"},"agent_actions":{"view_html":"https://pith.science/pith/D6IHNCPO6GI4DCLNSJJRYNOQVO","download_json":"https://pith.science/pith/D6IHNCPO6GI4DCLNSJJRYNOQVO.json","view_paper":"https://pith.science/paper/D6IHNCPO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1812.04299&json=true","fetch_graph":"https://pith.science/api/pith-number/D6IHNCPO6GI4DCLNSJJRYNOQVO/graph.json","fetch_events":"https://pith.science/api/pith-number/D6IHNCPO6GI4DCLNSJJRYNOQVO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/D6IHNCPO6GI4DCLNSJJRYNOQVO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/D6IHNCPO6GI4DCLNSJJRYNOQVO/action/storage_attestation","attest_author":"https://pith.science/pith/D6IHNCPO6GI4DCLNSJJRYNOQVO/action/author_attestation","sign_citation":"https://pith.science/pith/D6IHNCPO6GI4DCLNSJJRYNOQVO/action/citation_signature","submit_replication":"https://pith.science/pith/D6IHNCPO6GI4DCLNSJJRYNOQVO/action/replication_record"}},"created_at":"2026-05-17T23:47:19.685054+00:00","updated_at":"2026-05-17T23:47:19.685054+00:00"}