{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:HBOV2F7K3BTY5X7HJLLDREZDWW","short_pith_number":"pith:HBOV2F7K","canonical_record":{"source":{"id":"2406.04329","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-06T17:59:10Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"c84b05b59c22c7f599de71f9dfd1c1df5c2969fe069c3d003cb906b030715b37","abstract_canon_sha256":"35ebab9af072266cf3818d9fe49200a653ab375f7206f9a8735f40294e3d332c"},"schema_version":"1.0"},"canonical_sha256":"385d5d17ead8678edfe74ad6389323b5aa418340f00b0c931ef13bc3fb0a3028","source":{"kind":"arxiv","id":"2406.04329","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.04329","created_at":"2026-07-05T10:01:33Z"},{"alias_kind":"arxiv_version","alias_value":"2406.04329v4","created_at":"2026-07-05T10:01:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.04329","created_at":"2026-07-05T10:01:33Z"},{"alias_kind":"pith_short_12","alias_value":"HBOV2F7K3BTY","created_at":"2026-07-05T10:01:33Z"},{"alias_kind":"pith_short_16","alias_value":"HBOV2F7K3BTY5X7H","created_at":"2026-07-05T10:01:33Z"},{"alias_kind":"pith_short_8","alias_value":"HBOV2F7K","created_at":"2026-07-05T10:01:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:HBOV2F7K3BTY5X7HJLLDREZDWW","target":"record","payload":{"canonical_record":{"source":{"id":"2406.04329","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-06T17:59:10Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"c84b05b59c22c7f599de71f9dfd1c1df5c2969fe069c3d003cb906b030715b37","abstract_canon_sha256":"35ebab9af072266cf3818d9fe49200a653ab375f7206f9a8735f40294e3d332c"},"schema_version":"1.0"},"canonical_sha256":"385d5d17ead8678edfe74ad6389323b5aa418340f00b0c931ef13bc3fb0a3028","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:01:33.863111Z","signature_b64":"qCM3F4/r5BGDTRVppAV3+IkBMRchdTrrz2scNgFFbs28EoALpoZt3GRFupYGd1rAzZFUnmmqKwlkuFOk3XiuDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"385d5d17ead8678edfe74ad6389323b5aa418340f00b0c931ef13bc3fb0a3028","last_reissued_at":"2026-07-05T10:01:33.862326Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:01:33.862326Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.04329","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:01:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w9TU703I79rB59QSWRA/NKy7zzcUkxkq0p7l63mmVZkqnvO6jJJbgDpjlxzG0AtkibAS9r1bmtfI7gZxxCh+DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T09:32:54.112009Z"},"content_sha256":"e7dc8a9856729c21a86162fa637fa4392f78724160fbd6fc3ebdfb7c66292ec6","schema_version":"1.0","event_id":"sha256:e7dc8a9856729c21a86162fa637fa4392f78724160fbd6fc3ebdfb7c66292ec6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:HBOV2F7K3BTY5X7HJLLDREZDWW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Simplified and Generalized Masked Diffusion for Discrete Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Arnaud Doucet, Jiaxin Shi, Kehang Han, Michalis K. Titsias, Zhe Wang","submitted_at":"2024-06-06T17:59:10Z","abstract_excerpt":"Masked (or absorbing) diffusion is actively explored as an alternative to autoregressive models for generative modeling of discrete data. However, existing work in this area has been hindered by unnecessarily complex model formulations and unclear relationships between different perspectives, leading to suboptimal parameterization, training objectives, and ad hoc adjustments to counteract these issues. In this work, we aim to provide a simple and general framework that unlocks the full potential of masked diffusion models. We show that the continuous-time variational objective of masked diffus"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.04329","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2406.04329/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:01:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oF/Q/hswDQhxUVAaqJBWlpD5yuZV/0i65WuorqDG/4GxJeUtj4ZK5pSdVBNmqvF5K+6ZNc+gJ7PV9Ak+nbBxBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T09:32:54.112563Z"},"content_sha256":"9ed38f055ad8e97eb21234ba2cbee9f1a94bd635560fd1d42764fc7939242135","schema_version":"1.0","event_id":"sha256:9ed38f055ad8e97eb21234ba2cbee9f1a94bd635560fd1d42764fc7939242135"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HBOV2F7K3BTY5X7HJLLDREZDWW/bundle.json","state_url":"https://pith.science/pith/HBOV2F7K3BTY5X7HJLLDREZDWW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HBOV2F7K3BTY5X7HJLLDREZDWW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-06T09:32:54Z","links":{"resolver":"https://pith.science/pith/HBOV2F7K3BTY5X7HJLLDREZDWW","bundle":"https://pith.science/pith/HBOV2F7K3BTY5X7HJLLDREZDWW/bundle.json","state":"https://pith.science/pith/HBOV2F7K3BTY5X7HJLLDREZDWW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HBOV2F7K3BTY5X7HJLLDREZDWW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HBOV2F7K3BTY5X7HJLLDREZDWW","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":"35ebab9af072266cf3818d9fe49200a653ab375f7206f9a8735f40294e3d332c","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-06T17:59:10Z","title_canon_sha256":"c84b05b59c22c7f599de71f9dfd1c1df5c2969fe069c3d003cb906b030715b37"},"schema_version":"1.0","source":{"id":"2406.04329","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.04329","created_at":"2026-07-05T10:01:33Z"},{"alias_kind":"arxiv_version","alias_value":"2406.04329v4","created_at":"2026-07-05T10:01:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.04329","created_at":"2026-07-05T10:01:33Z"},{"alias_kind":"pith_short_12","alias_value":"HBOV2F7K3BTY","created_at":"2026-07-05T10:01:33Z"},{"alias_kind":"pith_short_16","alias_value":"HBOV2F7K3BTY5X7H","created_at":"2026-07-05T10:01:33Z"},{"alias_kind":"pith_short_8","alias_value":"HBOV2F7K","created_at":"2026-07-05T10:01:33Z"}],"graph_snapshots":[{"event_id":"sha256:9ed38f055ad8e97eb21234ba2cbee9f1a94bd635560fd1d42764fc7939242135","target":"graph","created_at":"2026-07-05T10:01:33Z","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/2406.04329/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Masked (or absorbing) diffusion is actively explored as an alternative to autoregressive models for generative modeling of discrete data. However, existing work in this area has been hindered by unnecessarily complex model formulations and unclear relationships between different perspectives, leading to suboptimal parameterization, training objectives, and ad hoc adjustments to counteract these issues. In this work, we aim to provide a simple and general framework that unlocks the full potential of masked diffusion models. We show that the continuous-time variational objective of masked diffus","authors_text":"Arnaud Doucet, Jiaxin Shi, Kehang Han, Michalis K. Titsias, Zhe Wang","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-06T17:59:10Z","title":"Simplified and Generalized Masked Diffusion for Discrete Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.04329","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:e7dc8a9856729c21a86162fa637fa4392f78724160fbd6fc3ebdfb7c66292ec6","target":"record","created_at":"2026-07-05T10:01:33Z","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":"35ebab9af072266cf3818d9fe49200a653ab375f7206f9a8735f40294e3d332c","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-06T17:59:10Z","title_canon_sha256":"c84b05b59c22c7f599de71f9dfd1c1df5c2969fe069c3d003cb906b030715b37"},"schema_version":"1.0","source":{"id":"2406.04329","kind":"arxiv","version":4}},"canonical_sha256":"385d5d17ead8678edfe74ad6389323b5aa418340f00b0c931ef13bc3fb0a3028","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"385d5d17ead8678edfe74ad6389323b5aa418340f00b0c931ef13bc3fb0a3028","first_computed_at":"2026-07-05T10:01:33.862326Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:01:33.862326Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qCM3F4/r5BGDTRVppAV3+IkBMRchdTrrz2scNgFFbs28EoALpoZt3GRFupYGd1rAzZFUnmmqKwlkuFOk3XiuDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:01:33.863111Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.04329","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e7dc8a9856729c21a86162fa637fa4392f78724160fbd6fc3ebdfb7c66292ec6","sha256:9ed38f055ad8e97eb21234ba2cbee9f1a94bd635560fd1d42764fc7939242135"],"state_sha256":"5626d4fbfdec1050554fcc48f4585c092c0ad20716302c6a1f3021d0faea5ba7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oh9GnI3Txg5OPeKeYHRUimXxGdtCWcWDcyQkNnG5irfmcxOTpMuaF/axg+p55CDmYnKrC6pWvSspB5rC8jpHDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T09:32:54.118139Z","bundle_sha256":"4fbe4e413f892f7279d089992df2215b0a7bd221f987b9660c0e7ec01e569bae"}}