{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HNSLU5ZXIXVVGC7F73G2ZLPN4T","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":"9b5c70abad0dc86aa4e003fddee47a2f998c9461c5b96ba8d9c622048f656f5f","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-17T00:49:53Z","title_canon_sha256":"eb68dcfd2a8466cb1e286601f5725374e0443a38b691c00e4262c50cc3a5de85"},"schema_version":"1.0","source":{"id":"2410.13111","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.13111","created_at":"2026-07-05T09:21:55Z"},{"alias_kind":"arxiv_version","alias_value":"2410.13111v1","created_at":"2026-07-05T09:21:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.13111","created_at":"2026-07-05T09:21:55Z"},{"alias_kind":"pith_short_12","alias_value":"HNSLU5ZXIXVV","created_at":"2026-07-05T09:21:55Z"},{"alias_kind":"pith_short_16","alias_value":"HNSLU5ZXIXVVGC7F","created_at":"2026-07-05T09:21:55Z"},{"alias_kind":"pith_short_8","alias_value":"HNSLU5ZX","created_at":"2026-07-05T09:21:55Z"}],"graph_snapshots":[{"event_id":"sha256:6bf0a93753a09eb6dcc2fc9d732173177e351526db4406b0a2202c8b5843daa2","target":"graph","created_at":"2026-07-05T09:21:55Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2410.13111/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autoregressive models have demonstrated an unprecedented ability at modeling the intricacies of natural language. However, they continue to struggle with generating complex outputs that adhere to logical constraints. Sampling from a fully-independent distribution subject to a constraint is hard. Sampling from an autoregressive distribution subject to a constraint is doubly hard: We have to contend not only with the hardness of the constraint but also the distribution's lack of structure. We propose a tractable probabilistic approach that performs Bayesian conditioning to draw samples subject t","authors_text":"Guy Van den Broeck, Kai-Wei Chang, Kareem Ahmed","cross_cats":["cs.CL","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-17T00:49:53Z","title":"Controllable Generation via Locally Constrained Resampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.13111","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":"sha256:3909dc2b9bc61c94b84fed03732cf3133a31a4e58575cc1eaac56cbacd443425","target":"record","created_at":"2026-07-05T09:21:55Z","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":"9b5c70abad0dc86aa4e003fddee47a2f998c9461c5b96ba8d9c622048f656f5f","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-17T00:49:53Z","title_canon_sha256":"eb68dcfd2a8466cb1e286601f5725374e0443a38b691c00e4262c50cc3a5de85"},"schema_version":"1.0","source":{"id":"2410.13111","kind":"arxiv","version":1}},"canonical_sha256":"3b64ba773745eb530be5fecdacadede4d7da2f7ed672539c38769a2a9c9f26df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b64ba773745eb530be5fecdacadede4d7da2f7ed672539c38769a2a9c9f26df","first_computed_at":"2026-07-05T09:21:55.549229Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:21:55.549229Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eDi5P3LCTXFXPF2o1F6ZnBETBvTerG48b/3wpIcHVeWxtDBZSXUneWGe/z2P0qBRDiyArhLnSJ492myqVOZpCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:21:55.549723Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.13111","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3909dc2b9bc61c94b84fed03732cf3133a31a4e58575cc1eaac56cbacd443425","sha256:6bf0a93753a09eb6dcc2fc9d732173177e351526db4406b0a2202c8b5843daa2"],"state_sha256":"4a7a90a25a43b7222cebcc06165abe15834a7c20de88eadf3a547338ee684c64"}