{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:WZCUBVUIQCTYZ735YBSU7GVACA","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":"828fba3bca53cbf701cd299c2ab5963b9534baa6d1516da8b50d11935b936354","cross_cats_sorted":["hep-ex"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2021-12-31T05:37:25Z","title_canon_sha256":"7279f620ebbe74cbfea1893be38d2a47bc17d114ea29e7e1cccc815a329619a6"},"schema_version":"1.0","source":{"id":"2112.15312","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.15312","created_at":"2026-07-05T05:13:31Z"},{"alias_kind":"arxiv_version","alias_value":"2112.15312v2","created_at":"2026-07-05T05:13:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.15312","created_at":"2026-07-05T05:13:31Z"},{"alias_kind":"pith_short_12","alias_value":"WZCUBVUIQCTY","created_at":"2026-07-05T05:13:31Z"},{"alias_kind":"pith_short_16","alias_value":"WZCUBVUIQCTYZ735","created_at":"2026-07-05T05:13:31Z"},{"alias_kind":"pith_short_8","alias_value":"WZCUBVUI","created_at":"2026-07-05T05:13:31Z"}],"graph_snapshots":[{"event_id":"sha256:a5b54d2293f05acbd47524fbb185de7d24a14f39e2b48eb846ee26947eb31e8f","target":"graph","created_at":"2026-07-05T05:13:31Z","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/2112.15312/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, by using the machine learning methods, we study the sensitivities of heavy pseudo-Dirac neutrino $N$ in the inverse seesaw at the high-energy hadron colliders. The production process for the signal is $pp \\to \\ell N \\to 3 \\ell + E_T^{\\rm miss}$, while the dominant background is $p p \\to W Z \\to 3 \\ell + E_T^{\\rm miss}$. We use either the Multi-Layer Perceptron or the Boosted Decision Tree with Gradient Boosting to analyse the kinematic observables and optimize the discrimination of background and signal events. It is found that the reconstructed $Z$ boson mass and heavy neutrino ","authors_text":"Hong-Hao Zhang, Jie Feng, Mingqiu Li, Qi-Shu Yan, Yongchao Zhang, Yu-Pan Zeng, Zhijie Zhao","cross_cats":["hep-ex"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2021-12-31T05:37:25Z","title":"Improving heavy Dirac neutrino prospects at future hadron colliders using machine learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.15312","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":"sha256:063e55f100a5822a8859c84fc3eb38162318b5220820fb9d93fa3875a0054062","target":"record","created_at":"2026-07-05T05:13:31Z","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":"828fba3bca53cbf701cd299c2ab5963b9534baa6d1516da8b50d11935b936354","cross_cats_sorted":["hep-ex"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2021-12-31T05:37:25Z","title_canon_sha256":"7279f620ebbe74cbfea1893be38d2a47bc17d114ea29e7e1cccc815a329619a6"},"schema_version":"1.0","source":{"id":"2112.15312","kind":"arxiv","version":2}},"canonical_sha256":"b64540d68880a78cff7dc0654f9aa010332f9497f50695dffe23595515595e39","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b64540d68880a78cff7dc0654f9aa010332f9497f50695dffe23595515595e39","first_computed_at":"2026-07-05T05:13:31.193635Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:13:31.193635Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KMZwRZGSo74+soFIW2dV6S9tnL2xOfelks9+uLF4KspEsCkYN5rYjIbpSeMJN7xy9QE6AZ/LuujpVbADdbj1Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:13:31.194112Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.15312","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:063e55f100a5822a8859c84fc3eb38162318b5220820fb9d93fa3875a0054062","sha256:a5b54d2293f05acbd47524fbb185de7d24a14f39e2b48eb846ee26947eb31e8f"],"state_sha256":"ffcc3a3782d322d44b2f6455f4814ca1e34569df1b539227173dd9bc7225692b"}