{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FAWYH2YKJ2VON5MSJG6TH5Q5JH","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"26e8f738df182adcf5462b2b516b60185850048d3dc2724f5f1fbdf040ad55c9","cross_cats_sorted":["nucl-th"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2025-09-18T14:02:10Z","title_canon_sha256":"fb98d5f75300cc3a2b5b5f8d8e2074a1c0d992aa564d65b144e19b79496d2280"},"schema_version":"1.0","source":{"id":"2509.14970","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.14970","created_at":"2026-07-10T01:18:55Z"},{"alias_kind":"arxiv_version","alias_value":"2509.14970v2","created_at":"2026-07-10T01:18:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.14970","created_at":"2026-07-10T01:18:55Z"},{"alias_kind":"pith_short_12","alias_value":"FAWYH2YKJ2VO","created_at":"2026-07-10T01:18:55Z"},{"alias_kind":"pith_short_16","alias_value":"FAWYH2YKJ2VON5MS","created_at":"2026-07-10T01:18:55Z"},{"alias_kind":"pith_short_8","alias_value":"FAWYH2YK","created_at":"2026-07-10T01:18:55Z"}],"graph_snapshots":[{"event_id":"sha256:ca79d9a98cc9284755b1b84a489b68d607621b0116335a1bc2ebb7486aa9aa43","target":"graph","created_at":"2026-07-10T01:18:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2509.14970/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning techniques have emerged as powerful tools for tackling non-perturbative challenges in quantum chromodynamics. In this study, we introduce a data-driven framework employing deep neural networks to systematically predict the temperature-dependent behavior of the screening mass $m_D(T)$ and the strong coupling constant $\\alpha_s(T)$ within a quark-gluon plasma medium. These medium-sensitive quantities are subsequently employed to compute the thermal widths $\\Gamma_{\\text{n}}(T)$ and binding energies $E_B(T)$ of heavy quarkonia states, specifically charmonia and bottomonia, by num","authors_text":"Fu-Peng Li, Guang-You Qin, Long-Gang Pang, Mohammad Yousuf Jamal","cross_cats":["nucl-th"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2025-09-18T14:02:10Z","title":"Melting of heavy quarkonia in QGP using deep neural networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.14970","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:75b0821cce123820f5e4e4ae0efbdedc8d435b7c934f510a41527aacd043d22b","target":"record","created_at":"2026-07-10T01:18:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"26e8f738df182adcf5462b2b516b60185850048d3dc2724f5f1fbdf040ad55c9","cross_cats_sorted":["nucl-th"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2025-09-18T14:02:10Z","title_canon_sha256":"fb98d5f75300cc3a2b5b5f8d8e2074a1c0d992aa564d65b144e19b79496d2280"},"schema_version":"1.0","source":{"id":"2509.14970","kind":"arxiv","version":2}},"canonical_sha256":"282d83eb0a4eaae6f59249bd33f61d49fd783a9380d82694d9b6ae39ade259d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"282d83eb0a4eaae6f59249bd33f61d49fd783a9380d82694d9b6ae39ade259d9","first_computed_at":"2026-07-10T01:18:55.586599Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T01:18:55.586599Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zNgffnjB3TKRiPnRM5GVKez79HiBDtcFwlyoP6zGIJAFYaKsBpRQOZF0jAcEdPtohvI4l3MtpS8OlHBxikXsAw==","signature_status":"signed_v1","signed_at":"2026-07-10T01:18:55.587106Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.14970","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:75b0821cce123820f5e4e4ae0efbdedc8d435b7c934f510a41527aacd043d22b","sha256:ca79d9a98cc9284755b1b84a489b68d607621b0116335a1bc2ebb7486aa9aa43"],"state_sha256":"cd4904d130bbb0abd3234f7bb69a64b7368cedeb19129a9990f7965a4dd7bbbf"}