{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BOEC332YUXADE73RZ53R2XLOD2","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":"989cae7925b95701a2ccc1bc3e8f8342365c7a774010ed2654bb737b72680c07","cross_cats_sorted":["cs.AI","cs.IT","cs.LG","cs.NE","math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-23T18:49:23Z","title_canon_sha256":"d0e5c86f0e90e798e991029d18bf12fd4e6214c2acc456f985e0a70b99dad84c"},"schema_version":"1.0","source":{"id":"2506.19037","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.19037","created_at":"2026-05-18T03:09:35Z"},{"alias_kind":"arxiv_version","alias_value":"2506.19037v4","created_at":"2026-05-18T03:09:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.19037","created_at":"2026-05-18T03:09:35Z"},{"alias_kind":"pith_short_12","alias_value":"BOEC332YUXAD","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"BOEC332YUXADE73R","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"BOEC332Y","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:9951f317ad2af932c9327267b15956388a823b12a8fb630e079d3fd70d6a26fd","target":"graph","created_at":"2026-05-18T03:09:35Z","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":"Masked diffusion language models (MDLMs) promise fast, non-autoregressive text generation, yet existing samplers, which pick tokens to unmask based on model confidence, ignore interactions when unmasking multiple positions in parallel and effectively reduce to slow, autoregressive behavior. We propose the Dilated Unmasking Scheduler (DUS), an inference-only, planner-model-free method that partitions sequence positions into non-adjacent dilated groups and unmasks them in parallel so as to minimize an upper bound on joint entropy gain at each denoising step. By explicitly trading off the number ","authors_text":"Eliya Nachmani, Haim Permuter, Omer Luxembourg","cross_cats":["cs.AI","cs.IT","cs.LG","cs.NE","math.IT"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-23T18:49:23Z","title":"Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.19037","kind":"arxiv","version":4},"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":"sha256:1aba6bd6f5e7986cb5d98f00cb1a1ccebe457018de6d595aad6a0ff3f68ad643","target":"record","created_at":"2026-05-18T03:09:35Z","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":"989cae7925b95701a2ccc1bc3e8f8342365c7a774010ed2654bb737b72680c07","cross_cats_sorted":["cs.AI","cs.IT","cs.LG","cs.NE","math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-23T18:49:23Z","title_canon_sha256":"d0e5c86f0e90e798e991029d18bf12fd4e6214c2acc456f985e0a70b99dad84c"},"schema_version":"1.0","source":{"id":"2506.19037","kind":"arxiv","version":4}},"canonical_sha256":"0b882def58a5c0327f71cf771d5d6e1e87520c1485b78ba3236f6aaddf140716","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b882def58a5c0327f71cf771d5d6e1e87520c1485b78ba3236f6aaddf140716","first_computed_at":"2026-05-18T03:09:35.381611Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:09:35.381611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GFQKNOepVOGFTfnOTg5ejTRIcTRFwt+WTq3UaFaq+istwNGcOAJx/8T7nWkBLzEsqIBxb0aiHDaQBC0lzIlaBw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:09:35.382303Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.19037","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1aba6bd6f5e7986cb5d98f00cb1a1ccebe457018de6d595aad6a0ff3f68ad643","sha256:9951f317ad2af932c9327267b15956388a823b12a8fb630e079d3fd70d6a26fd"],"state_sha256":"985ee049f0a260670bb2a3cca7571870466a15e079c3be12679f9f3fd4d93046"}