{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KJWETYANCX2IAJWS3A6ENPC3G7","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":"ab47dacaae411982c4c51f1d769c4fad0b7740412f408816eadc5431508d98b4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-30T07:51:58Z","title_canon_sha256":"c627024defe21be8b0316ad2d54d2b36c2a2198500051acfdf19f9b4f11ef68e"},"schema_version":"1.0","source":{"id":"2506.23589","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23589","created_at":"2026-07-05T11:29:24Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23589v1","created_at":"2026-07-05T11:29:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23589","created_at":"2026-07-05T11:29:24Z"},{"alias_kind":"pith_short_12","alias_value":"KJWETYANCX2I","created_at":"2026-07-05T11:29:24Z"},{"alias_kind":"pith_short_16","alias_value":"KJWETYANCX2IAJWS","created_at":"2026-07-05T11:29:24Z"},{"alias_kind":"pith_short_8","alias_value":"KJWETYAN","created_at":"2026-07-05T11:29:24Z"}],"graph_snapshots":[{"event_id":"sha256:afc26d974bb2ef79f04c232cd5cc5dc297f424a11a8b67179e191115a27036c8","target":"graph","created_at":"2026-07-05T11:29:24Z","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/2506.23589/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion and flow matching models have significantly advanced media generation, yet their design space is well-explored, somewhat limiting further improvements. Concurrently, autoregressive (AR) models, particularly those generating continuous tokens, have emerged as a promising direction for unifying text and media generation. This paper introduces Transition Matching (TM), a novel discrete-time, continuous-state generative paradigm that unifies and advances both diffusion/flow models and continuous AR generation. TM decomposes complex generation tasks into simpler Markov transitions, allowi","authors_text":"Itai Gat, Neta Shaul, Uriel Singer, Yaron Lipman","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-30T07:51:58Z","title":"Transition Matching: Scalable and Flexible Generative Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23589","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:d1afb9054c93278cdd079d900d412c5881b26571f04c4beffa7801e3ed6fc051","target":"record","created_at":"2026-07-05T11:29:24Z","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":"ab47dacaae411982c4c51f1d769c4fad0b7740412f408816eadc5431508d98b4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-30T07:51:58Z","title_canon_sha256":"c627024defe21be8b0316ad2d54d2b36c2a2198500051acfdf19f9b4f11ef68e"},"schema_version":"1.0","source":{"id":"2506.23589","kind":"arxiv","version":1}},"canonical_sha256":"526c49e00d15f48026d2d83c46bc5b37ea341cfe46610c97f9eb1940fc02e5fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"526c49e00d15f48026d2d83c46bc5b37ea341cfe46610c97f9eb1940fc02e5fe","first_computed_at":"2026-07-05T11:29:24.439164Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:24.439164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NJPuQIkgA4IFWToDxPKiJdmVinRKE9jpJxJqg02CUvuOQGQFa6wJHXp2WrLyYbS3Vv8+DLrNfvw+crwzY/wEDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:24.439658Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.23589","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d1afb9054c93278cdd079d900d412c5881b26571f04c4beffa7801e3ed6fc051","sha256:afc26d974bb2ef79f04c232cd5cc5dc297f424a11a8b67179e191115a27036c8"],"state_sha256":"bdfe1656fc45ff2c644a4421e3af9b91c9ed6cac9909eedd7af702ca8e4e7980"}