{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:VFQ5SEDQKFDHYJAPZNTETLAWUZ","short_pith_number":"pith:VFQ5SEDQ","schema_version":"1.0","canonical_sha256":"a961d9107051467c240fcb6649ac16a67e93df3190b212472be9d89efd338806","source":{"kind":"arxiv","id":"1804.06469","version":1},"attestation_state":"computed","paper":{"title":"Bayesian parameter estimation for relativistic heavy-ion collisions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ph","nucl-ex","stat.AP"],"primary_cat":"nucl-th","authors_text":"Jonah E. Bernhard","submitted_at":"2018-04-17T21:13:54Z","abstract_excerpt":"I develop and apply a Bayesian method for quantitatively estimating properties of the quark-gluon plasma (QGP), an extremely hot and dense state of fluid-like matter created in relativistic heavy-ion collisions.\n  The QGP cannot be directly observed -- it is extraordinarily tiny and ephemeral, about $10^{-14}$ meters in size and living $10^{-23}$ seconds before freezing into discrete particles -- but it can be indirectly characterized by matching the output of a computational collision model to experimental observations. The model, which takes the QGP properties of interest as input parameters"},"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":"1804.06469","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nucl-th","submitted_at":"2018-04-17T21:13:54Z","cross_cats_sorted":["hep-ph","nucl-ex","stat.AP"],"title_canon_sha256":"a7c34286b2893abba22b51fafef0815ed0ec9d9f51f0dd5c671275559503d0b5","abstract_canon_sha256":"9982452f99e2de60a3615577f616d8911ab935127e8f4b8c20d5eee077ecca25"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:06.527359Z","signature_b64":"Cxcihbzk3Q2yDWXRXAWYABabXKSifkLQAYoW+QtbZ7GlweYmuSmaXJrkeONaq+3F3fANmp4h9fm/U+b4Ng+xDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a961d9107051467c240fcb6649ac16a67e93df3190b212472be9d89efd338806","last_reissued_at":"2026-05-18T00:18:06.525122Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:06.525122Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bayesian parameter estimation for relativistic heavy-ion collisions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ph","nucl-ex","stat.AP"],"primary_cat":"nucl-th","authors_text":"Jonah E. Bernhard","submitted_at":"2018-04-17T21:13:54Z","abstract_excerpt":"I develop and apply a Bayesian method for quantitatively estimating properties of the quark-gluon plasma (QGP), an extremely hot and dense state of fluid-like matter created in relativistic heavy-ion collisions.\n  The QGP cannot be directly observed -- it is extraordinarily tiny and ephemeral, about $10^{-14}$ meters in size and living $10^{-23}$ seconds before freezing into discrete particles -- but it can be indirectly characterized by matching the output of a computational collision model to experimental observations. The model, which takes the QGP properties of interest as input parameters"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.06469","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":"1804.06469","created_at":"2026-05-18T00:18:06.526695+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.06469v1","created_at":"2026-05-18T00:18:06.526695+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.06469","created_at":"2026-05-18T00:18:06.526695+00:00"},{"alias_kind":"pith_short_12","alias_value":"VFQ5SEDQKFDH","created_at":"2026-05-18T12:32:59.047623+00:00"},{"alias_kind":"pith_short_16","alias_value":"VFQ5SEDQKFDHYJAP","created_at":"2026-05-18T12:32:59.047623+00:00"},{"alias_kind":"pith_short_8","alias_value":"VFQ5SEDQ","created_at":"2026-05-18T12:32:59.047623+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":3,"internal_anchor_count":2,"sample":[{"citing_arxiv_id":"2605.29383","citing_title":"Bayesian constraints on the transport coefficients $\\eta/s$ and $\\zeta/s$ from spin polarization in relativisitic heavy-ion collisions","ref_index":58,"is_internal_anchor":true},{"citing_arxiv_id":"2602.16369","citing_title":"Rapidity dependence of mean transverse momentum fluctuation and decorrelation in baryon-dense medium","ref_index":61,"is_internal_anchor":true},{"citing_arxiv_id":"2604.15737","citing_title":"Bayesian inference constraints on jet quenching across centrality, beam energy, and observable classes in LHC heavy-ion collisions","ref_index":96,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/VFQ5SEDQKFDHYJAPZNTETLAWUZ","json":"https://pith.science/pith/VFQ5SEDQKFDHYJAPZNTETLAWUZ.json","graph_json":"https://pith.science/api/pith-number/VFQ5SEDQKFDHYJAPZNTETLAWUZ/graph.json","events_json":"https://pith.science/api/pith-number/VFQ5SEDQKFDHYJAPZNTETLAWUZ/events.json","paper":"https://pith.science/paper/VFQ5SEDQ"},"agent_actions":{"view_html":"https://pith.science/pith/VFQ5SEDQKFDHYJAPZNTETLAWUZ","download_json":"https://pith.science/pith/VFQ5SEDQKFDHYJAPZNTETLAWUZ.json","view_paper":"https://pith.science/paper/VFQ5SEDQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.06469&json=true","fetch_graph":"https://pith.science/api/pith-number/VFQ5SEDQKFDHYJAPZNTETLAWUZ/graph.json","fetch_events":"https://pith.science/api/pith-number/VFQ5SEDQKFDHYJAPZNTETLAWUZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VFQ5SEDQKFDHYJAPZNTETLAWUZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VFQ5SEDQKFDHYJAPZNTETLAWUZ/action/storage_attestation","attest_author":"https://pith.science/pith/VFQ5SEDQKFDHYJAPZNTETLAWUZ/action/author_attestation","sign_citation":"https://pith.science/pith/VFQ5SEDQKFDHYJAPZNTETLAWUZ/action/citation_signature","submit_replication":"https://pith.science/pith/VFQ5SEDQKFDHYJAPZNTETLAWUZ/action/replication_record"}},"created_at":"2026-05-18T00:18:06.526695+00:00","updated_at":"2026-05-18T00:18:06.526695+00:00"}