{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:ARIBJPVAU7KYIQLYVPSHFHKTQ6","short_pith_number":"pith:ARIBJPVA","schema_version":"1.0","canonical_sha256":"045014bea0a7d5844178abe4729d53879e90d9bdd957ad46823744dc0fe66799","source":{"kind":"arxiv","id":"1107.2330","version":1},"attestation_state":"computed","paper":{"title":"Computing fluxes and chemical potential distributions in biochemical networks: energy balance analysis of the human red blood cell","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.dis-nn","cond-mat.stat-mech","physics.bio-ph"],"primary_cat":"q-bio.MN","authors_text":"Andrea De Martino, Daniele De Martino, Enzo Marinari, Matteo Figliuzzi","submitted_at":"2011-07-12T15:43:19Z","abstract_excerpt":"The analysis of non-equilibrium steady states of biochemical reaction networks relies on finding the configurations of fluxes and chemical potentials satisfying stoichiometric (mass balance) and thermodynamic (energy balance) constraints. Efficient methods to explore such states are crucial to predict reaction directionality, calculate physiologic ranges of variability, estimate correlations, and reconstruct the overall energy balance of the network from the underlying molecular processes. While different techniques for sampling the space generated by mass balance constraints are currently ava"},"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":"1107.2330","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.MN","submitted_at":"2011-07-12T15:43:19Z","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.stat-mech","physics.bio-ph"],"title_canon_sha256":"93406a96538f426f9ae60ed0b4ad93ec6ac20a4d5fbe180dd9583da2873949c3","abstract_canon_sha256":"1f77aa21a7a29333d3d80a455a88808159d807e44c9bc47da5ec43df2565a880"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:18:24.810166Z","signature_b64":"3KVRwFrKlPhWX3hagqWlO7KyHLtdim6qvrCeH1RRQm6eq3hLRs8GIMZGlHLJO5R52cDttzIxJSzu35qmlR1+Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"045014bea0a7d5844178abe4729d53879e90d9bdd957ad46823744dc0fe66799","last_reissued_at":"2026-05-18T04:18:24.809497Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:18:24.809497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Computing fluxes and chemical potential distributions in biochemical networks: energy balance analysis of the human red blood cell","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.dis-nn","cond-mat.stat-mech","physics.bio-ph"],"primary_cat":"q-bio.MN","authors_text":"Andrea De Martino, Daniele De Martino, Enzo Marinari, Matteo Figliuzzi","submitted_at":"2011-07-12T15:43:19Z","abstract_excerpt":"The analysis of non-equilibrium steady states of biochemical reaction networks relies on finding the configurations of fluxes and chemical potentials satisfying stoichiometric (mass balance) and thermodynamic (energy balance) constraints. Efficient methods to explore such states are crucial to predict reaction directionality, calculate physiologic ranges of variability, estimate correlations, and reconstruct the overall energy balance of the network from the underlying molecular processes. While different techniques for sampling the space generated by mass balance constraints are currently ava"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1107.2330","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":"1107.2330","created_at":"2026-05-18T04:18:24.809606+00:00"},{"alias_kind":"arxiv_version","alias_value":"1107.2330v1","created_at":"2026-05-18T04:18:24.809606+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1107.2330","created_at":"2026-05-18T04:18:24.809606+00:00"},{"alias_kind":"pith_short_12","alias_value":"ARIBJPVAU7KY","created_at":"2026-05-18T12:26:24.575870+00:00"},{"alias_kind":"pith_short_16","alias_value":"ARIBJPVAU7KYIQLY","created_at":"2026-05-18T12:26:24.575870+00:00"},{"alias_kind":"pith_short_8","alias_value":"ARIBJPVA","created_at":"2026-05-18T12:26:24.575870+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/ARIBJPVAU7KYIQLYVPSHFHKTQ6","json":"https://pith.science/pith/ARIBJPVAU7KYIQLYVPSHFHKTQ6.json","graph_json":"https://pith.science/api/pith-number/ARIBJPVAU7KYIQLYVPSHFHKTQ6/graph.json","events_json":"https://pith.science/api/pith-number/ARIBJPVAU7KYIQLYVPSHFHKTQ6/events.json","paper":"https://pith.science/paper/ARIBJPVA"},"agent_actions":{"view_html":"https://pith.science/pith/ARIBJPVAU7KYIQLYVPSHFHKTQ6","download_json":"https://pith.science/pith/ARIBJPVAU7KYIQLYVPSHFHKTQ6.json","view_paper":"https://pith.science/paper/ARIBJPVA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1107.2330&json=true","fetch_graph":"https://pith.science/api/pith-number/ARIBJPVAU7KYIQLYVPSHFHKTQ6/graph.json","fetch_events":"https://pith.science/api/pith-number/ARIBJPVAU7KYIQLYVPSHFHKTQ6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ARIBJPVAU7KYIQLYVPSHFHKTQ6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ARIBJPVAU7KYIQLYVPSHFHKTQ6/action/storage_attestation","attest_author":"https://pith.science/pith/ARIBJPVAU7KYIQLYVPSHFHKTQ6/action/author_attestation","sign_citation":"https://pith.science/pith/ARIBJPVAU7KYIQLYVPSHFHKTQ6/action/citation_signature","submit_replication":"https://pith.science/pith/ARIBJPVAU7KYIQLYVPSHFHKTQ6/action/replication_record"}},"created_at":"2026-05-18T04:18:24.809606+00:00","updated_at":"2026-05-18T04:18:24.809606+00:00"}