{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:RXFMLFX2IKIAIUWUTMY2YHHO3G","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":"a0319a4c6f990a51c02c65164ca82bc1aba3b71f491a4cb8ef6e0e8a5ef9e2db","cross_cats_sorted":["cs.AI","cs.LG","cs.PL","stat.CO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-01-13T17:52:07Z","title_canon_sha256":"21d1b13a75c2e7d38f31fe96ced705bbb8d113eb0fbfb04e6c41b624573f575d"},"schema_version":"1.0","source":{"id":"1701.03757","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.03757","created_at":"2026-05-18T00:49:22Z"},{"alias_kind":"arxiv_version","alias_value":"1701.03757v2","created_at":"2026-05-18T00:49:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.03757","created_at":"2026-05-18T00:49:22Z"},{"alias_kind":"pith_short_12","alias_value":"RXFMLFX2IKIA","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"RXFMLFX2IKIAIUWU","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"RXFMLFX2","created_at":"2026-05-18T12:31:43Z"}],"graph_snapshots":[{"event_id":"sha256:5930ed0c67a737199add0001922248f9c803c5ce8e40a82695cf3eb73a546fb8","target":"graph","created_at":"2026-05-18T00:49:22Z","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 propose Edward, a Turing-complete probabilistic programming language. Edward defines two compositional representations---random variables and inference. By treating inference as a first class citizen, on a par with modeling, we show that probabilistic programming can be as flexible and computationally efficient as traditional deep learning. For flexibility, Edward makes it easy to fit the same model using a variety of composable inference methods, ranging from point estimation to variational inference to MCMC. In addition, Edward can reuse the modeling representation as part of inference, f","authors_text":"David M. Blei, Dustin Tran, Eugene Brevdo, Kevin Murphy, Matthew D. Hoffman, Rif A. Saurous","cross_cats":["cs.AI","cs.LG","cs.PL","stat.CO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-01-13T17:52:07Z","title":"Deep Probabilistic Programming"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.03757","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":"sha256:83d341a17c2b7e65ade1ac78f85c5afd9dd0187c56bdaebccbbb6a8a3cdef76a","target":"record","created_at":"2026-05-18T00:49:22Z","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":"a0319a4c6f990a51c02c65164ca82bc1aba3b71f491a4cb8ef6e0e8a5ef9e2db","cross_cats_sorted":["cs.AI","cs.LG","cs.PL","stat.CO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-01-13T17:52:07Z","title_canon_sha256":"21d1b13a75c2e7d38f31fe96ced705bbb8d113eb0fbfb04e6c41b624573f575d"},"schema_version":"1.0","source":{"id":"1701.03757","kind":"arxiv","version":2}},"canonical_sha256":"8dcac596fa42900452d49b31ac1ceed9b2e259337f6a796da9dddf269543deb3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8dcac596fa42900452d49b31ac1ceed9b2e259337f6a796da9dddf269543deb3","first_computed_at":"2026-05-18T00:49:22.730356Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:49:22.730356Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pAIYlECHQIlySZhKKThbcg5HDQnxweNzGAVak4Cb3oWeMM4V5nJfGYUUuXdzOBwLTjienwNM4iBG8AjBn5+qBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:49:22.730990Z","signed_message":"canonical_sha256_bytes"},"source_id":"1701.03757","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:83d341a17c2b7e65ade1ac78f85c5afd9dd0187c56bdaebccbbb6a8a3cdef76a","sha256:5930ed0c67a737199add0001922248f9c803c5ce8e40a82695cf3eb73a546fb8"],"state_sha256":"2fac6f392b0205123751c48baf3ddf354a563abc1a600cf809a2539ecc558fd0"}