{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:QTWKTSYROMTVDANZ7SZJKKG37C","short_pith_number":"pith:QTWKTSYR","schema_version":"1.0","canonical_sha256":"84eca9cb1173275181b9fcb29528dbf8890cd3b896a9faab0ad85cf73020e591","source":{"kind":"arxiv","id":"1809.05548","version":2},"attestation_state":"computed","paper":{"title":"The Simplified Likelihood Framework","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex","physics.data-an"],"primary_cat":"hep-ph","authors_text":"Andy Buckley, Matthew Citron, Nicholas Wardle, Sabine Kraml, Sylvain Fichet, Wolfgang Waltenberger","submitted_at":"2018-09-14T18:06:57Z","abstract_excerpt":"We discuss the simplified likelihood framework as a systematic approximation scheme for experimental likelihoods such as those originating from LHC experiments. We develop the simplified likelihood from the Central Limit Theorem keeping the next-to-leading term in the large $N$ expansion to correctly account for asymmetries. Moreover, we present an efficient method to compute the parameters of the simplified likelihood from Monte Carlo simulations. The approach is validated using a realistic LHC-like analysis, and the limits of the approximation are explored. Finally, we discuss how the simpli"},"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":"1809.05548","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2018-09-14T18:06:57Z","cross_cats_sorted":["hep-ex","physics.data-an"],"title_canon_sha256":"c50966884fb39b86aa87a50c3bc05ef7fc8e954a9f2087fd5e7201d10b2cc883","abstract_canon_sha256":"1625033293c69d36e924106f9f0bff84971b2825808f8a786a35f9e0e1d59bf1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:20.406019Z","signature_b64":"f0QbTOPM7PqPfrcuGNfMOcwMKUwZwdd5dGdibP+qwQ7/7O+55QMSrw9Ehy2WgCBeAPw8na0PtkvVPkUHxe5uAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"84eca9cb1173275181b9fcb29528dbf8890cd3b896a9faab0ad85cf73020e591","last_reissued_at":"2026-05-17T23:47:20.405580Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:20.405580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Simplified Likelihood Framework","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex","physics.data-an"],"primary_cat":"hep-ph","authors_text":"Andy Buckley, Matthew Citron, Nicholas Wardle, Sabine Kraml, Sylvain Fichet, Wolfgang Waltenberger","submitted_at":"2018-09-14T18:06:57Z","abstract_excerpt":"We discuss the simplified likelihood framework as a systematic approximation scheme for experimental likelihoods such as those originating from LHC experiments. We develop the simplified likelihood from the Central Limit Theorem keeping the next-to-leading term in the large $N$ expansion to correctly account for asymmetries. Moreover, we present an efficient method to compute the parameters of the simplified likelihood from Monte Carlo simulations. The approach is validated using a realistic LHC-like analysis, and the limits of the approximation are explored. Finally, we discuss how the simpli"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.05548","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":""},"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":"1809.05548","created_at":"2026-05-17T23:47:20.405651+00:00"},{"alias_kind":"arxiv_version","alias_value":"1809.05548v2","created_at":"2026-05-17T23:47:20.405651+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.05548","created_at":"2026-05-17T23:47:20.405651+00:00"},{"alias_kind":"pith_short_12","alias_value":"QTWKTSYROMTV","created_at":"2026-05-18T12:32:46.962924+00:00"},{"alias_kind":"pith_short_16","alias_value":"QTWKTSYROMTVDANZ","created_at":"2026-05-18T12:32:46.962924+00:00"},{"alias_kind":"pith_short_8","alias_value":"QTWKTSYR","created_at":"2026-05-18T12:32:46.962924+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2512.14502","citing_title":"On the coverage of electroweak-inos within the pMSSM with SModelS -- a comparison with the ATLAS pMSSM study","ref_index":68,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QTWKTSYROMTVDANZ7SZJKKG37C","json":"https://pith.science/pith/QTWKTSYROMTVDANZ7SZJKKG37C.json","graph_json":"https://pith.science/api/pith-number/QTWKTSYROMTVDANZ7SZJKKG37C/graph.json","events_json":"https://pith.science/api/pith-number/QTWKTSYROMTVDANZ7SZJKKG37C/events.json","paper":"https://pith.science/paper/QTWKTSYR"},"agent_actions":{"view_html":"https://pith.science/pith/QTWKTSYROMTVDANZ7SZJKKG37C","download_json":"https://pith.science/pith/QTWKTSYROMTVDANZ7SZJKKG37C.json","view_paper":"https://pith.science/paper/QTWKTSYR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1809.05548&json=true","fetch_graph":"https://pith.science/api/pith-number/QTWKTSYROMTVDANZ7SZJKKG37C/graph.json","fetch_events":"https://pith.science/api/pith-number/QTWKTSYROMTVDANZ7SZJKKG37C/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QTWKTSYROMTVDANZ7SZJKKG37C/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QTWKTSYROMTVDANZ7SZJKKG37C/action/storage_attestation","attest_author":"https://pith.science/pith/QTWKTSYROMTVDANZ7SZJKKG37C/action/author_attestation","sign_citation":"https://pith.science/pith/QTWKTSYROMTVDANZ7SZJKKG37C/action/citation_signature","submit_replication":"https://pith.science/pith/QTWKTSYROMTVDANZ7SZJKKG37C/action/replication_record"}},"created_at":"2026-05-17T23:47:20.405651+00:00","updated_at":"2026-05-17T23:47:20.405651+00:00"}