{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2006:TI2VOFE6DLNHUH5HLFO52WG2VD","short_pith_number":"pith:TI2VOFE6","schema_version":"1.0","canonical_sha256":"9a3557149e1ada7a1fa7595ddd58daa8e625158c6e035f7a8795ebd03b41186f","source":{"kind":"arxiv","id":"nucl-th/0608057","version":4},"attestation_state":"computed","paper":{"title":"A Fast Hadron Freeze-out Generator","license":"","headline":"","cross_cats":["hep-ph"],"primary_cat":"nucl-th","authors_text":"A.M. Snigirev, I.P. Lokhtin, Iu.A.Karpenko, L.V. Malinina, N.S. Amelin, R. Lednicky, T.A. Pocheptsov, Yu.M. Sinyukov","submitted_at":"2006-08-25T08:32:14Z","abstract_excerpt":"We have developed a fast Monte Carlo procedure of hadron generation allowing one to study and analyze various observables for stable hadrons and hadron resonances produced in ultra-relativistic heavy ion collisions. Particle multiplicities are determined based on the concept of chemical freeze-out. Particles can be generated on the chemical or thermal freeze-out hypersurface represented by a parameterization or a numerical solution of relativistic hydrodynamics with given initial conditions and equation of state. Besides standard space-like sectors associated with the volume decay, the hypersu"},"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":"nucl-th/0608057","kind":"arxiv","version":4},"metadata":{"license":"","primary_cat":"nucl-th","submitted_at":"2006-08-25T08:32:14Z","cross_cats_sorted":["hep-ph"],"title_canon_sha256":"5232c2c4bf1893a5fb18a035b1cfadebf303ca8522080eb84d2bf00c26696d1c","abstract_canon_sha256":"ca45b29251fcc8deb83ebfcf15fabd030ee3186a814f8e13cf18d8a5ee10c857"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T15:17:17.875638Z","signature_b64":"h43fv0wxQDJ1yDb7ZHA5Tanor2YNw8+M/pgtj5IDSOoeUIApLQpfw2JQgmKeYwq20AMmFoGvp0/3ZaH4tN7oDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a3557149e1ada7a1fa7595ddd58daa8e625158c6e035f7a8795ebd03b41186f","last_reissued_at":"2026-07-04T15:17:17.875259Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T15:17:17.875259Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Fast Hadron Freeze-out Generator","license":"","headline":"","cross_cats":["hep-ph"],"primary_cat":"nucl-th","authors_text":"A.M. Snigirev, I.P. Lokhtin, Iu.A.Karpenko, L.V. Malinina, N.S. Amelin, R. Lednicky, T.A. Pocheptsov, Yu.M. Sinyukov","submitted_at":"2006-08-25T08:32:14Z","abstract_excerpt":"We have developed a fast Monte Carlo procedure of hadron generation allowing one to study and analyze various observables for stable hadrons and hadron resonances produced in ultra-relativistic heavy ion collisions. Particle multiplicities are determined based on the concept of chemical freeze-out. Particles can be generated on the chemical or thermal freeze-out hypersurface represented by a parameterization or a numerical solution of relativistic hydrodynamics with given initial conditions and equation of state. Besides standard space-like sectors associated with the volume decay, the hypersu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"nucl-th/0608057","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/nucl-th/0608057/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"nucl-th/0608057","created_at":"2026-07-04T15:17:17.875325+00:00"},{"alias_kind":"arxiv_version","alias_value":"nucl-th/0608057v4","created_at":"2026-07-04T15:17:17.875325+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.nucl-th/0608057","created_at":"2026-07-04T15:17:17.875325+00:00"},{"alias_kind":"pith_short_12","alias_value":"TI2VOFE6DLNH","created_at":"2026-07-04T15:17:17.875325+00:00"},{"alias_kind":"pith_short_16","alias_value":"TI2VOFE6DLNHUH5H","created_at":"2026-07-04T15:17:17.875325+00:00"},{"alias_kind":"pith_short_8","alias_value":"TI2VOFE6","created_at":"2026-07-04T15:17:17.875325+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":2,"sample":[{"citing_arxiv_id":"2507.11026","citing_title":"Two-particle cumulant distribution: a simulation study of higher moments","ref_index":38,"is_internal_anchor":true},{"citing_arxiv_id":"2511.05186","citing_title":"Physics-informed neural network (PINN) modeling of charged particle multiplicity using the two-component framework in heavy-ion collisions: A comparison with data-driven neural networks","ref_index":13,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TI2VOFE6DLNHUH5HLFO52WG2VD","json":"https://pith.science/pith/TI2VOFE6DLNHUH5HLFO52WG2VD.json","graph_json":"https://pith.science/api/pith-number/TI2VOFE6DLNHUH5HLFO52WG2VD/graph.json","events_json":"https://pith.science/api/pith-number/TI2VOFE6DLNHUH5HLFO52WG2VD/events.json","paper":"https://pith.science/paper/TI2VOFE6"},"agent_actions":{"view_html":"https://pith.science/pith/TI2VOFE6DLNHUH5HLFO52WG2VD","download_json":"https://pith.science/pith/TI2VOFE6DLNHUH5HLFO52WG2VD.json","view_paper":"https://pith.science/paper/TI2VOFE6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=nucl-th/0608057&json=true","fetch_graph":"https://pith.science/api/pith-number/TI2VOFE6DLNHUH5HLFO52WG2VD/graph.json","fetch_events":"https://pith.science/api/pith-number/TI2VOFE6DLNHUH5HLFO52WG2VD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TI2VOFE6DLNHUH5HLFO52WG2VD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TI2VOFE6DLNHUH5HLFO52WG2VD/action/storage_attestation","attest_author":"https://pith.science/pith/TI2VOFE6DLNHUH5HLFO52WG2VD/action/author_attestation","sign_citation":"https://pith.science/pith/TI2VOFE6DLNHUH5HLFO52WG2VD/action/citation_signature","submit_replication":"https://pith.science/pith/TI2VOFE6DLNHUH5HLFO52WG2VD/action/replication_record"}},"created_at":"2026-07-04T15:17:17.875325+00:00","updated_at":"2026-07-04T15:17:17.875325+00:00"}