{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:4VDKQI77Y6L57B2M2ZBPLYR36Y","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":"b93b613233e24612551ee1b0c614d84ba0a15fd1a613dc6c7e1d7c4e0f9a25ed","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-22T21:35:39Z","title_canon_sha256":"d07dacfa58f85216424e9520578d99073df5e745bc0b7653732fa233baefd75f"},"schema_version":"1.0","source":{"id":"1803.08591","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.08591","created_at":"2026-05-18T00:10:51Z"},{"alias_kind":"arxiv_version","alias_value":"1803.08591v4","created_at":"2026-05-18T00:10:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.08591","created_at":"2026-05-18T00:10:51Z"},{"alias_kind":"pith_short_12","alias_value":"4VDKQI77Y6L5","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"4VDKQI77Y6L57B2M","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"4VDKQI77","created_at":"2026-05-18T12:32:05Z"}],"graph_snapshots":[{"event_id":"sha256:8bf5ac4753e15b96a6f759336414be3b4bfe331e59b3d3df427cc1e56f96e84b","target":"graph","created_at":"2026-05-18T00:10:51Z","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":"The multivariate probit model (MVP) is a popular classic model for studying binary responses of multiple entities. Nevertheless, the computational challenge of learning the MVP model, given that its likelihood involves integrating over a multidimensional constrained space of latent variables, significantly limits its application in practice. We propose a flexible deep generalization of the classic MVP, the Deep Multivariate Probit Model (DMVP), which is an end-to-end learning scheme that uses an efficient parallel sampling process of the multivariate probit model to exploit GPU-boosted deep ne","authors_text":"Carla P. Gomes, Di Chen, Yexiang Xue","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-22T21:35:39Z","title":"End-to-End Learning for the Deep Multivariate Probit Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.08591","kind":"arxiv","version":4},"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":"sha256:7d8a5b54d5a823f3697bd0380495b7bcce7bcdd16e37f25dd7c1ea7ad161cf4a","target":"record","created_at":"2026-05-18T00:10:51Z","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":"b93b613233e24612551ee1b0c614d84ba0a15fd1a613dc6c7e1d7c4e0f9a25ed","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-22T21:35:39Z","title_canon_sha256":"d07dacfa58f85216424e9520578d99073df5e745bc0b7653732fa233baefd75f"},"schema_version":"1.0","source":{"id":"1803.08591","kind":"arxiv","version":4}},"canonical_sha256":"e546a823ffc797df874cd642f5e23bf634842a2549f54020bb8417f3ab35eb51","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e546a823ffc797df874cd642f5e23bf634842a2549f54020bb8417f3ab35eb51","first_computed_at":"2026-05-18T00:10:51.885944Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:51.885944Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+GvG0w0SXcCKwgmzcUau8pm70Umuij0eznpoHrb/wJenUlOMGJk8uCfMKUHzsAvHeDXe2UBjwBfTb0BT0jpfBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:51.886397Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.08591","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7d8a5b54d5a823f3697bd0380495b7bcce7bcdd16e37f25dd7c1ea7ad161cf4a","sha256:8bf5ac4753e15b96a6f759336414be3b4bfe331e59b3d3df427cc1e56f96e84b"],"state_sha256":"3a46bdd949fe1f04dc8e1711785f31aab4951d9fd7d6a7c4c10fe9c90106e7e0"}