{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:OUHOJV7BZFQUUFNVRKXMQUKTAX","short_pith_number":"pith:OUHOJV7B","schema_version":"1.0","canonical_sha256":"750ee4d7e1c9614a15b58aaec8515305d8bf5d0627bf6e24c1030c2cb6b15266","source":{"kind":"arxiv","id":"1209.3700","version":2},"attestation_state":"computed","paper":{"title":"Simulation of stochastic network dynamics via entropic matching","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"q-bio.QM","authors_text":"Marco Selig, Tiago Ramalho, Torsten A. En{\\ss}lin, Ulrich Gerland","submitted_at":"2012-09-17T15:50:47Z","abstract_excerpt":"The simulation of complex stochastic network dynamics arising, for instance, from models of coupled biomolecular processes remains computationally challenging. Often, the necessity to scan a models' dynamics over a large parameter space renders full-fledged stochastic simulations impractical, motivating approximation schemes. Here we propose an approximation scheme which improves upon the standard linear noise approximation while retaining similar computational complexity. The underlying idea is to minimize, at each time step, the Kullback-Leibler divergence between the true time evolved proba"},"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":"1209.3700","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2012-09-17T15:50:47Z","cross_cats_sorted":["physics.data-an"],"title_canon_sha256":"4fd5476f32d7914dfe9f286c7b2a1cf16fbd4cb18ac99f557a69926c37aae0f0","abstract_canon_sha256":"2a403f8c67d030a05e52c894799aa4e2615f70d71390723aac00728d77e424bd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:31:17.155657Z","signature_b64":"9fHheh8Vng75sTRbj4ncYAs5OMMtDz6mox9+CGSVl+ZdI9/jnFisuh1xghqaSO7K9z+msFZ/Vl0XLQ1E9dFfAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"750ee4d7e1c9614a15b58aaec8515305d8bf5d0627bf6e24c1030c2cb6b15266","last_reissued_at":"2026-05-18T03:31:17.154961Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:31:17.154961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Simulation of stochastic network dynamics via entropic matching","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"q-bio.QM","authors_text":"Marco Selig, Tiago Ramalho, Torsten A. En{\\ss}lin, Ulrich Gerland","submitted_at":"2012-09-17T15:50:47Z","abstract_excerpt":"The simulation of complex stochastic network dynamics arising, for instance, from models of coupled biomolecular processes remains computationally challenging. Often, the necessity to scan a models' dynamics over a large parameter space renders full-fledged stochastic simulations impractical, motivating approximation schemes. Here we propose an approximation scheme which improves upon the standard linear noise approximation while retaining similar computational complexity. The underlying idea is to minimize, at each time step, the Kullback-Leibler divergence between the true time evolved proba"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1209.3700","kind":"arxiv","version":2},"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":"1209.3700","created_at":"2026-05-18T03:31:17.155088+00:00"},{"alias_kind":"arxiv_version","alias_value":"1209.3700v2","created_at":"2026-05-18T03:31:17.155088+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1209.3700","created_at":"2026-05-18T03:31:17.155088+00:00"},{"alias_kind":"pith_short_12","alias_value":"OUHOJV7BZFQU","created_at":"2026-05-18T12:27:16.716162+00:00"},{"alias_kind":"pith_short_16","alias_value":"OUHOJV7BZFQUUFNV","created_at":"2026-05-18T12:27:16.716162+00:00"},{"alias_kind":"pith_short_8","alias_value":"OUHOJV7B","created_at":"2026-05-18T12:27:16.716162+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/OUHOJV7BZFQUUFNVRKXMQUKTAX","json":"https://pith.science/pith/OUHOJV7BZFQUUFNVRKXMQUKTAX.json","graph_json":"https://pith.science/api/pith-number/OUHOJV7BZFQUUFNVRKXMQUKTAX/graph.json","events_json":"https://pith.science/api/pith-number/OUHOJV7BZFQUUFNVRKXMQUKTAX/events.json","paper":"https://pith.science/paper/OUHOJV7B"},"agent_actions":{"view_html":"https://pith.science/pith/OUHOJV7BZFQUUFNVRKXMQUKTAX","download_json":"https://pith.science/pith/OUHOJV7BZFQUUFNVRKXMQUKTAX.json","view_paper":"https://pith.science/paper/OUHOJV7B","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1209.3700&json=true","fetch_graph":"https://pith.science/api/pith-number/OUHOJV7BZFQUUFNVRKXMQUKTAX/graph.json","fetch_events":"https://pith.science/api/pith-number/OUHOJV7BZFQUUFNVRKXMQUKTAX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OUHOJV7BZFQUUFNVRKXMQUKTAX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OUHOJV7BZFQUUFNVRKXMQUKTAX/action/storage_attestation","attest_author":"https://pith.science/pith/OUHOJV7BZFQUUFNVRKXMQUKTAX/action/author_attestation","sign_citation":"https://pith.science/pith/OUHOJV7BZFQUUFNVRKXMQUKTAX/action/citation_signature","submit_replication":"https://pith.science/pith/OUHOJV7BZFQUUFNVRKXMQUKTAX/action/replication_record"}},"created_at":"2026-05-18T03:31:17.155088+00:00","updated_at":"2026-05-18T03:31:17.155088+00:00"}