{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:OH57RDVB3MR76WSQYFIAE72ZUU","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":"2ca949471f759077fcc1fffa67388e421f3f956bb4a60ad125d839ad45e8d17e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-04-11T18:29:57Z","title_canon_sha256":"a5551edcd1a133b74c44e7960a55af17bed9df82ebdcaf2305131d258b046dc2"},"schema_version":"1.0","source":{"id":"1404.3177","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1404.3177","created_at":"2026-05-18T02:42:46Z"},{"alias_kind":"arxiv_version","alias_value":"1404.3177v2","created_at":"2026-05-18T02:42:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1404.3177","created_at":"2026-05-18T02:42:46Z"},{"alias_kind":"pith_short_12","alias_value":"OH57RDVB3MR7","created_at":"2026-05-18T12:28:41Z"},{"alias_kind":"pith_short_16","alias_value":"OH57RDVB3MR76WSQ","created_at":"2026-05-18T12:28:41Z"},{"alias_kind":"pith_short_8","alias_value":"OH57RDVB","created_at":"2026-05-18T12:28:41Z"}],"graph_snapshots":[{"event_id":"sha256:41a8d986c14c01ad27a2c9306ed0817505533f1a753441dfeae693617135e064","target":"graph","created_at":"2026-05-18T02:42:46Z","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"},"paper":{"abstract_excerpt":"We present R package mnlogit for training multinomial logistic regression models, particularly those involving a large number of classes and features. Compared to existing software, mnlogit offers speedups of 10x-50x for modestly sized problems and more than 100x for larger problems. Running mnlogit in parallel mode on a multicore machine gives an additional 2x-4x speedup on up to 8 processor cores. Computational efficiency is achieved by drastically speeding up calculation of the log-likelihood function's Hessian matrix by exploiting structure in matrices that arise in intermediate calculatio","authors_text":"Alireza S. Mahani, Asad Hasan, Wang Zhiyu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-04-11T18:29:57Z","title":"Fast Estimation of Multinomial Logit Models: R Package mnlogit"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1404.3177","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":"sha256:1e0d767b831826875c923735ddb76d8865e55ca7bb83b90f66b3f950e03c35c8","target":"record","created_at":"2026-05-18T02:42:46Z","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":"2ca949471f759077fcc1fffa67388e421f3f956bb4a60ad125d839ad45e8d17e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-04-11T18:29:57Z","title_canon_sha256":"a5551edcd1a133b74c44e7960a55af17bed9df82ebdcaf2305131d258b046dc2"},"schema_version":"1.0","source":{"id":"1404.3177","kind":"arxiv","version":2}},"canonical_sha256":"71fbf88ea1db23ff5a50c150027f59a5226c39f0dc395ff51debf4d3381ece1f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71fbf88ea1db23ff5a50c150027f59a5226c39f0dc395ff51debf4d3381ece1f","first_computed_at":"2026-05-18T02:42:46.255747Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:42:46.255747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IwlScBDRy8T1jgYkWk9O/NIkc49llE09WRKqfR4GKDxp+aX+0PGlwNAU1/RVyA8lqgEQebKfdRTMGRmQTkkwDw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:42:46.256182Z","signed_message":"canonical_sha256_bytes"},"source_id":"1404.3177","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e0d767b831826875c923735ddb76d8865e55ca7bb83b90f66b3f950e03c35c8","sha256:41a8d986c14c01ad27a2c9306ed0817505533f1a753441dfeae693617135e064"],"state_sha256":"30d0ec9f6a7cdc09cabae67b728718e3b28798e4dca86e15009740c155785309"}