{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:ISN2N3S6RZBBN2AKUXOXVPQVHW","short_pith_number":"pith:ISN2N3S6","schema_version":"1.0","canonical_sha256":"449ba6ee5e8e4216e80aa5dd7abe153d95e52b909bf484a3bb6d4b13e94047a4","source":{"kind":"arxiv","id":"1701.06586","version":4},"attestation_state":"computed","paper":{"title":"SModelS v1.1 user manual","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"hep-ph","authors_text":"Andre Lessa, Federico Ambrogi, Jory Sonneveld, Michael Traub, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Veronika Magerl, Wolfgang Waltenberger","submitted_at":"2017-01-23T19:01:12Z","abstract_excerpt":"SModelS is an automatised tool for the interpretation of simplified model results from the LHC. It allows to decompose models of new physics obeying a Z2 symmetry into simplified model components, and to compare these against a large database of experimental results. The first release of SModelS, v1.0, used only cross section upper limit maps provided by the experimental collaborations. In this new release, v1.1, we extend the functionality of SModelS to efficiency maps. This increases the constraining power of the software, as efficiency maps allow to combine contributions to the same signal "},"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":"1701.06586","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2017-01-23T19:01:12Z","cross_cats_sorted":["hep-ex"],"title_canon_sha256":"7ac9e7f4e8530f5a721c09089647772eaee5ba172946aeb3ff199bc8c31422d8","abstract_canon_sha256":"12d39069497562acef085feec91123e82137242cc58777bebd193b6115c94c2d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:52.416207Z","signature_b64":"7KiLsjOnVyGJXeWB/mfiS2FFXVg/o4zJfDKJMnjfAwVgV3BI8Cv15VhPWZbYPZgGp9IEYMxSVWdZB521DLZ0Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"449ba6ee5e8e4216e80aa5dd7abe153d95e52b909bf484a3bb6d4b13e94047a4","last_reissued_at":"2026-05-18T00:20:52.415794Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:52.415794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SModelS v1.1 user manual","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"hep-ph","authors_text":"Andre Lessa, Federico Ambrogi, Jory Sonneveld, Michael Traub, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Veronika Magerl, Wolfgang Waltenberger","submitted_at":"2017-01-23T19:01:12Z","abstract_excerpt":"SModelS is an automatised tool for the interpretation of simplified model results from the LHC. It allows to decompose models of new physics obeying a Z2 symmetry into simplified model components, and to compare these against a large database of experimental results. The first release of SModelS, v1.0, used only cross section upper limit maps provided by the experimental collaborations. In this new release, v1.1, we extend the functionality of SModelS to efficiency maps. This increases the constraining power of the software, as efficiency maps allow to combine contributions to the same signal "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.06586","kind":"arxiv","version":4},"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":"1701.06586","created_at":"2026-05-18T00:20:52.415867+00:00"},{"alias_kind":"arxiv_version","alias_value":"1701.06586v4","created_at":"2026-05-18T00:20:52.415867+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.06586","created_at":"2026-05-18T00:20:52.415867+00:00"},{"alias_kind":"pith_short_12","alias_value":"ISN2N3S6RZBB","created_at":"2026-05-18T12:31:21.493067+00:00"},{"alias_kind":"pith_short_16","alias_value":"ISN2N3S6RZBBN2AK","created_at":"2026-05-18T12:31:21.493067+00:00"},{"alias_kind":"pith_short_8","alias_value":"ISN2N3S6","created_at":"2026-05-18T12:31:21.493067+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2605.20848","citing_title":"VLQBounds: Confronting Vector-Like Quark Models with LHC Searches","ref_index":28,"is_internal_anchor":true},{"citing_arxiv_id":"2604.25557","citing_title":"Jarvis-HEP: A lightweight Python framework for workflow composition and parameter scans in high-energy physics","ref_index":95,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ISN2N3S6RZBBN2AKUXOXVPQVHW","json":"https://pith.science/pith/ISN2N3S6RZBBN2AKUXOXVPQVHW.json","graph_json":"https://pith.science/api/pith-number/ISN2N3S6RZBBN2AKUXOXVPQVHW/graph.json","events_json":"https://pith.science/api/pith-number/ISN2N3S6RZBBN2AKUXOXVPQVHW/events.json","paper":"https://pith.science/paper/ISN2N3S6"},"agent_actions":{"view_html":"https://pith.science/pith/ISN2N3S6RZBBN2AKUXOXVPQVHW","download_json":"https://pith.science/pith/ISN2N3S6RZBBN2AKUXOXVPQVHW.json","view_paper":"https://pith.science/paper/ISN2N3S6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1701.06586&json=true","fetch_graph":"https://pith.science/api/pith-number/ISN2N3S6RZBBN2AKUXOXVPQVHW/graph.json","fetch_events":"https://pith.science/api/pith-number/ISN2N3S6RZBBN2AKUXOXVPQVHW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ISN2N3S6RZBBN2AKUXOXVPQVHW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ISN2N3S6RZBBN2AKUXOXVPQVHW/action/storage_attestation","attest_author":"https://pith.science/pith/ISN2N3S6RZBBN2AKUXOXVPQVHW/action/author_attestation","sign_citation":"https://pith.science/pith/ISN2N3S6RZBBN2AKUXOXVPQVHW/action/citation_signature","submit_replication":"https://pith.science/pith/ISN2N3S6RZBBN2AKUXOXVPQVHW/action/replication_record"}},"created_at":"2026-05-18T00:20:52.415867+00:00","updated_at":"2026-05-18T00:20:52.415867+00:00"}