{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:ZOV67STT7VI3Q7WJNOBZFVSKYI","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":"5e2748887d7d37dab1f136dea925ab5165915d553f0b9caf6bd1372c81172798","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-02-16T22:13:00Z","title_canon_sha256":"95461f99690d863251e0cbf18043bdde6c282bec06c4f6046a561223757c6e34"},"schema_version":"1.0","source":{"id":"1602.05221","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.05221","created_at":"2026-05-18T01:18:37Z"},{"alias_kind":"arxiv_version","alias_value":"1602.05221v2","created_at":"2026-05-18T01:18:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.05221","created_at":"2026-05-18T01:18:37Z"},{"alias_kind":"pith_short_12","alias_value":"ZOV67STT7VI3","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_16","alias_value":"ZOV67STT7VI3Q7WJ","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_8","alias_value":"ZOV67STT","created_at":"2026-05-18T12:30:55Z"}],"graph_snapshots":[{"event_id":"sha256:161fad637fb313ad4c7d519aaec66f6d7ffced0cce185b0fc1eabfc91c28638b","target":"graph","created_at":"2026-05-18T01:18:37Z","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":"Datasets are growing not just in size but in complexity, creating a demand for rich models and quantification of uncertainty. Bayesian methods are an excellent fit for this demand, but scaling Bayesian inference is a challenge. In response to this challenge, there has been considerable recent work based on varying assumptions about model structure, underlying computational resources, and the importance of asymptotic correctness. As a result, there is a zoo of ideas with few clear overarching principles.\n  In this paper, we seek to identify unifying principles, patterns, and intuitions for scal","authors_text":"Elaine Angelino, Matthew James Johnson, Ryan P. Adams","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-02-16T22:13:00Z","title":"Patterns of Scalable Bayesian Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.05221","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:c5b468b668ea11eff5bf40a408112019a301a7b3a5a9ff3f9496b65ad1edd4f6","target":"record","created_at":"2026-05-18T01:18:37Z","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":"5e2748887d7d37dab1f136dea925ab5165915d553f0b9caf6bd1372c81172798","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-02-16T22:13:00Z","title_canon_sha256":"95461f99690d863251e0cbf18043bdde6c282bec06c4f6046a561223757c6e34"},"schema_version":"1.0","source":{"id":"1602.05221","kind":"arxiv","version":2}},"canonical_sha256":"cbabefca73fd51b87ec96b8392d64ac22fa32645c28fd79c56d1e2feb3e59bab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cbabefca73fd51b87ec96b8392d64ac22fa32645c28fd79c56d1e2feb3e59bab","first_computed_at":"2026-05-18T01:18:37.322499Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:18:37.322499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bKL+umbLYu6LMGB+bt+n1wgF1IgeEbdSTOPObmwDrnyecGhM9TRTCWg/mT5ZMgjkcuMqgp1gpJOz/pVxf5ZtBw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:18:37.323137Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.05221","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c5b468b668ea11eff5bf40a408112019a301a7b3a5a9ff3f9496b65ad1edd4f6","sha256:161fad637fb313ad4c7d519aaec66f6d7ffced0cce185b0fc1eabfc91c28638b"],"state_sha256":"c4a9704f18445ebdc9efd18d05ca8a25f56200b85da41e755cba35a64943211f"}