{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:QISUYTP7TZWR7AZXORTDOXWQMR","short_pith_number":"pith:QISUYTP7","schema_version":"1.0","canonical_sha256":"82254c4dff9e6d1f83377466375ed064613060f2cce9f25688d58b2696881e9f","source":{"kind":"arxiv","id":"2606.01760","version":1},"attestation_state":"computed","paper":{"title":"HS3: A Descriptive, Interoperable Serialization Standard for Statistical Models in High-Energy Physics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ME"],"primary_cat":"hep-ex","authors_text":"Carsten Burgard, Cornelius Grunwald, Giordon Stark, Jonas Rembser, Oliver Schulz, Simon Cello","submitted_at":"2026-06-01T06:31:41Z","abstract_excerpt":"Statistical models in high-energy physics formally encode the relationship between observed data, physics parameters of interest, and experimental and theoretical uncertainties. Likelihood-based inference is the central tool for precision measurements, effective field theory fits, and cross-analysis combinations. Consequently, there is an increasing need for machine-readable, descriptive, and portable model representations. Existing formats such as ROOT workspaces, pyhf JSON, and CMS DataCards provide valuable capabilities but remain tied to specific software stacks and offer no universal stan"},"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":"2606.01760","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2026-06-01T06:31:41Z","cross_cats_sorted":["stat.ME"],"title_canon_sha256":"424512971f67f09509f8e0d68f12ef6e846e52251fca693f9a818f68f22bc1da","abstract_canon_sha256":"13023dcf33d51c543c9f9d288e12d7c5b33c8e144cfa402f64011a0a01fe80e1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:04:55.934483Z","signature_b64":"YTLEOLgjkzAHVlpiYxGYsF2pPsFUrWyTPHMlGrZdl0P2XQ2OqQ0ttUI7hlQPgnBNVh5GYtN15PVWTOisK/JvBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"82254c4dff9e6d1f83377466375ed064613060f2cce9f25688d58b2696881e9f","last_reissued_at":"2026-06-02T02:04:55.934123Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:04:55.934123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HS3: A Descriptive, Interoperable Serialization Standard for Statistical Models in High-Energy Physics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ME"],"primary_cat":"hep-ex","authors_text":"Carsten Burgard, Cornelius Grunwald, Giordon Stark, Jonas Rembser, Oliver Schulz, Simon Cello","submitted_at":"2026-06-01T06:31:41Z","abstract_excerpt":"Statistical models in high-energy physics formally encode the relationship between observed data, physics parameters of interest, and experimental and theoretical uncertainties. Likelihood-based inference is the central tool for precision measurements, effective field theory fits, and cross-analysis combinations. Consequently, there is an increasing need for machine-readable, descriptive, and portable model representations. Existing formats such as ROOT workspaces, pyhf JSON, and CMS DataCards provide valuable capabilities but remain tied to specific software stacks and offer no universal stan"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01760","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.01760/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":"2606.01760","created_at":"2026-06-02T02:04:55.934179+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.01760v1","created_at":"2026-06-02T02:04:55.934179+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01760","created_at":"2026-06-02T02:04:55.934179+00:00"},{"alias_kind":"pith_short_12","alias_value":"QISUYTP7TZWR","created_at":"2026-06-02T02:04:55.934179+00:00"},{"alias_kind":"pith_short_16","alias_value":"QISUYTP7TZWR7AZX","created_at":"2026-06-02T02:04:55.934179+00:00"},{"alias_kind":"pith_short_8","alias_value":"QISUYTP7","created_at":"2026-06-02T02:04:55.934179+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/QISUYTP7TZWR7AZXORTDOXWQMR","json":"https://pith.science/pith/QISUYTP7TZWR7AZXORTDOXWQMR.json","graph_json":"https://pith.science/api/pith-number/QISUYTP7TZWR7AZXORTDOXWQMR/graph.json","events_json":"https://pith.science/api/pith-number/QISUYTP7TZWR7AZXORTDOXWQMR/events.json","paper":"https://pith.science/paper/QISUYTP7"},"agent_actions":{"view_html":"https://pith.science/pith/QISUYTP7TZWR7AZXORTDOXWQMR","download_json":"https://pith.science/pith/QISUYTP7TZWR7AZXORTDOXWQMR.json","view_paper":"https://pith.science/paper/QISUYTP7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.01760&json=true","fetch_graph":"https://pith.science/api/pith-number/QISUYTP7TZWR7AZXORTDOXWQMR/graph.json","fetch_events":"https://pith.science/api/pith-number/QISUYTP7TZWR7AZXORTDOXWQMR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QISUYTP7TZWR7AZXORTDOXWQMR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QISUYTP7TZWR7AZXORTDOXWQMR/action/storage_attestation","attest_author":"https://pith.science/pith/QISUYTP7TZWR7AZXORTDOXWQMR/action/author_attestation","sign_citation":"https://pith.science/pith/QISUYTP7TZWR7AZXORTDOXWQMR/action/citation_signature","submit_replication":"https://pith.science/pith/QISUYTP7TZWR7AZXORTDOXWQMR/action/replication_record"}},"created_at":"2026-06-02T02:04:55.934179+00:00","updated_at":"2026-06-02T02:04:55.934179+00:00"}