{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:MI2RH5KWDBFY4DINNO2VNFNPA7","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":"ef4a7daddd970e41502c8945ae4c9e7bbe77d718ebe54e3207d04d553a8093e0","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-31T16:02:00Z","title_canon_sha256":"d30115a7ecb44b7ccff35410fa3abd270998bc0c935b507c9562d24ae238d6c6"},"schema_version":"1.0","source":{"id":"2210.17432","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.17432","created_at":"2026-07-05T06:24:45Z"},{"alias_kind":"arxiv_version","alias_value":"2210.17432v2","created_at":"2026-07-05T06:24:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.17432","created_at":"2026-07-05T06:24:45Z"},{"alias_kind":"pith_short_12","alias_value":"MI2RH5KWDBFY","created_at":"2026-07-05T06:24:45Z"},{"alias_kind":"pith_short_16","alias_value":"MI2RH5KWDBFY4DIN","created_at":"2026-07-05T06:24:45Z"},{"alias_kind":"pith_short_8","alias_value":"MI2RH5KW","created_at":"2026-07-05T06:24:45Z"}],"graph_snapshots":[{"event_id":"sha256:fef0649216c7560e9618b3ae13b958be7b8466952bbc356ba9b1f03f49ec3e09","target":"graph","created_at":"2026-07-05T06:24:45Z","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/2210.17432/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the growing success of diffusion models in continuous-valued domains (e.g., images), similar efforts for discrete domains such as text have yet to match the performance of autoregressive language models. In this work, we present SSD-LM -- a diffusion-based language model with two key design choices. First, SSD-LM is semi-autoregressive, iteratively generating blocks of text, allowing for flexible output length at decoding time while enabling local bidirectional context updates. Second, it is simplex-based, performing diffusion on the natural vocabulary space rather than a learned laten","authors_text":"Sachin Kumar, Xiaochuang Han, Yulia Tsvetkov","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-31T16:02:00Z","title":"SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.17432","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:a55e3307ae86bd01106a8e3a5ef656546b788827241140ac1e5032f2d8e517fc","target":"record","created_at":"2026-07-05T06:24:45Z","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":"ef4a7daddd970e41502c8945ae4c9e7bbe77d718ebe54e3207d04d553a8093e0","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-31T16:02:00Z","title_canon_sha256":"d30115a7ecb44b7ccff35410fa3abd270998bc0c935b507c9562d24ae238d6c6"},"schema_version":"1.0","source":{"id":"2210.17432","kind":"arxiv","version":2}},"canonical_sha256":"623513f556184b8e0d0d6bb55695af07d4e89fa33f54b190d4038ea42f973a7c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"623513f556184b8e0d0d6bb55695af07d4e89fa33f54b190d4038ea42f973a7c","first_computed_at":"2026-07-05T06:24:45.341499Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:24:45.341499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KAYAXGbA6Jm6tgw2fSnlZkdRggtoGKb9GsqYooznbvUuLwNj9z9RtaQMr03XZ6C8ee2i4+dJAHQ/Q+v13G6xBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:24:45.341887Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.17432","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a55e3307ae86bd01106a8e3a5ef656546b788827241140ac1e5032f2d8e517fc","sha256:fef0649216c7560e9618b3ae13b958be7b8466952bbc356ba9b1f03f49ec3e09"],"state_sha256":"0be511c495efd03d4b87be07821c4bd093b552324237a04e01369097925fc5e5"}