{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:UFZKDMKEAFPXJ4QYX6IBSZKZND","short_pith_number":"pith:UFZKDMKE","schema_version":"1.0","canonical_sha256":"a172a1b144015f74f218bf9019655968ea72716c28b30bbe62a18a5317b0aa11","source":{"kind":"arxiv","id":"2310.16243","version":2},"attestation_state":"computed","paper":{"title":"On the prediction of spectral densities from Lattice QCD","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"hep-lat","authors_text":"Leonardo Giusti, Matteo Saccardi, Mattia Bruno","submitted_at":"2023-10-24T23:30:49Z","abstract_excerpt":"Hadronic spectral densities play a pivotal role in particle physics, a prime example being the R-ratio defined from electron-positron scattering into hadrons. To predict them from first principles using Lattice QCD, we face a numerically ill-posed inverse problem, due to the Euclidean signature adopted in practical simulations. Here we present a recent numerical analysis of the vector isovector spectral density extracted using the multi-level algorithm (recently extended also to the case of dynamical fermions) and discuss its implications."},"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":"2310.16243","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-lat","submitted_at":"2023-10-24T23:30:49Z","cross_cats_sorted":[],"title_canon_sha256":"a3b007ffa8176a0ff39d6f26a42938c131aa042d1f9ee3420a7b3d3f69fb4c4d","abstract_canon_sha256":"126967ff6d57171aa8c3fad018c7ad1aa60438d439e68340253766efee043627"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:32:59.256309Z","signature_b64":"C4ZcwO0vksebKEUEa3uzVgN2Q6Jzay2cSFPABbcVpsAMEIXDDhJadeyX0rNPCvfWu+6LmJgJjPDXqf5McCpVCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a172a1b144015f74f218bf9019655968ea72716c28b30bbe62a18a5317b0aa11","last_reissued_at":"2026-07-05T07:32:59.255882Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:32:59.255882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"On the prediction of spectral densities from Lattice QCD","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"hep-lat","authors_text":"Leonardo Giusti, Matteo Saccardi, Mattia Bruno","submitted_at":"2023-10-24T23:30:49Z","abstract_excerpt":"Hadronic spectral densities play a pivotal role in particle physics, a prime example being the R-ratio defined from electron-positron scattering into hadrons. To predict them from first principles using Lattice QCD, we face a numerically ill-posed inverse problem, due to the Euclidean signature adopted in practical simulations. Here we present a recent numerical analysis of the vector isovector spectral density extracted using the multi-level algorithm (recently extended also to the case of dynamical fermions) and discuss its implications."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.16243","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2310.16243/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":"2310.16243","created_at":"2026-07-05T07:32:59.255941+00:00"},{"alias_kind":"arxiv_version","alias_value":"2310.16243v2","created_at":"2026-07-05T07:32:59.255941+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.16243","created_at":"2026-07-05T07:32:59.255941+00:00"},{"alias_kind":"pith_short_12","alias_value":"UFZKDMKEAFPX","created_at":"2026-07-05T07:32:59.255941+00:00"},{"alias_kind":"pith_short_16","alias_value":"UFZKDMKEAFPXJ4QY","created_at":"2026-07-05T07:32:59.255941+00:00"},{"alias_kind":"pith_short_8","alias_value":"UFZKDMKE","created_at":"2026-07-05T07:32:59.255941+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.19503","citing_title":"Kernel transformations and bounds for smeared spectral functions","ref_index":39,"is_internal_anchor":false},{"citing_arxiv_id":"2605.20509","citing_title":"The Causal Bootstrap: Bounding Smeared Spectral Functions from Non-Perturbative Euclidean Data","ref_index":60,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UFZKDMKEAFPXJ4QYX6IBSZKZND","json":"https://pith.science/pith/UFZKDMKEAFPXJ4QYX6IBSZKZND.json","graph_json":"https://pith.science/api/pith-number/UFZKDMKEAFPXJ4QYX6IBSZKZND/graph.json","events_json":"https://pith.science/api/pith-number/UFZKDMKEAFPXJ4QYX6IBSZKZND/events.json","paper":"https://pith.science/paper/UFZKDMKE"},"agent_actions":{"view_html":"https://pith.science/pith/UFZKDMKEAFPXJ4QYX6IBSZKZND","download_json":"https://pith.science/pith/UFZKDMKEAFPXJ4QYX6IBSZKZND.json","view_paper":"https://pith.science/paper/UFZKDMKE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2310.16243&json=true","fetch_graph":"https://pith.science/api/pith-number/UFZKDMKEAFPXJ4QYX6IBSZKZND/graph.json","fetch_events":"https://pith.science/api/pith-number/UFZKDMKEAFPXJ4QYX6IBSZKZND/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UFZKDMKEAFPXJ4QYX6IBSZKZND/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UFZKDMKEAFPXJ4QYX6IBSZKZND/action/storage_attestation","attest_author":"https://pith.science/pith/UFZKDMKEAFPXJ4QYX6IBSZKZND/action/author_attestation","sign_citation":"https://pith.science/pith/UFZKDMKEAFPXJ4QYX6IBSZKZND/action/citation_signature","submit_replication":"https://pith.science/pith/UFZKDMKEAFPXJ4QYX6IBSZKZND/action/replication_record"}},"created_at":"2026-07-05T07:32:59.255941+00:00","updated_at":"2026-07-05T07:32:59.255941+00:00"}