{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:7KLCCETE5F2YYIOH7HANE5U2OP","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":"83cf2fa0a8bcb63666b509603b60f075b5a5ba702c5e4a3d02756635c2aa84a4","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-04-23T19:50:13Z","title_canon_sha256":"4cee37b4d7bf47b78ed2b931340ec84931dbd0570d93ac639655ebeecd6b0ea3"},"schema_version":"1.0","source":{"id":"1804.08682","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.08682","created_at":"2026-05-18T00:17:46Z"},{"alias_kind":"arxiv_version","alias_value":"1804.08682v1","created_at":"2026-05-18T00:17:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.08682","created_at":"2026-05-18T00:17:46Z"},{"alias_kind":"pith_short_12","alias_value":"7KLCCETE5F2Y","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7KLCCETE5F2YYIOH","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7KLCCETE","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:c0072102a4d094f7aabdb70275be8783c75bfe2124c5571b79394a32499b557d","target":"graph","created_at":"2026-05-18T00:17:46Z","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":"Restricted Boltzmann Machines (RBMs) are a class of generative neural network that are typically trained to maximize a log-likelihood objective function. We argue that likelihood-based training strategies may fail because the objective does not sufficiently penalize models that place a high probability in regions where the training data distribution has low probability. To overcome this problem, we introduce Boltzmann Encoded Adversarial Machines (BEAMs). A BEAM is an RBM trained against an adversary that uses the hidden layer activations of the RBM to discriminate between the training data an","authors_text":"Aaron M. Smith, Charles K. Fisher, Jonathan R. Walsh","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-04-23T19:50:13Z","title":"Boltzmann Encoded Adversarial Machines"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.08682","kind":"arxiv","version":1},"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:ea8579aa46d95f0c9e58e718bafd0e78c9f828f9419392db17d1db49abfd73ab","target":"record","created_at":"2026-05-18T00:17:46Z","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":"83cf2fa0a8bcb63666b509603b60f075b5a5ba702c5e4a3d02756635c2aa84a4","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-04-23T19:50:13Z","title_canon_sha256":"4cee37b4d7bf47b78ed2b931340ec84931dbd0570d93ac639655ebeecd6b0ea3"},"schema_version":"1.0","source":{"id":"1804.08682","kind":"arxiv","version":1}},"canonical_sha256":"fa96211264e9758c21c7f9c0d2769a73e9489c5a73915233344c6a6f826030f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa96211264e9758c21c7f9c0d2769a73e9489c5a73915233344c6a6f826030f6","first_computed_at":"2026-05-18T00:17:46.982734Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:17:46.982734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O+hNuLMkBxP5A/EGCGEAuvEC3wMgLl5QNztNhx4YZJzQbaSp+pBmSFmYKbyGV0OlL7bXPrjDMwFAnSwqKa6TCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:17:46.983419Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.08682","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea8579aa46d95f0c9e58e718bafd0e78c9f828f9419392db17d1db49abfd73ab","sha256:c0072102a4d094f7aabdb70275be8783c75bfe2124c5571b79394a32499b557d"],"state_sha256":"aebbfa7e3326d8768278ccd8e2b9a0a53df795a2d6d63149dc03a509b45e600b"}