{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YGCPD5RICGUCZY52RGD6R72RF6","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":"5393d3e055bf9ac532cda510a60f1f714c939503cf9a03042cadfaf4b3ec4bdd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-11T16:50:58Z","title_canon_sha256":"0bb3cbf266aa226a63f8c9cda3d96549be2d49784c73686589868844bf6fd3a3"},"schema_version":"1.0","source":{"id":"2606.13565","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.13565","created_at":"2026-06-12T01:10:10Z"},{"alias_kind":"arxiv_version","alias_value":"2606.13565v1","created_at":"2026-06-12T01:10:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.13565","created_at":"2026-06-12T01:10:10Z"},{"alias_kind":"pith_short_12","alias_value":"YGCPD5RICGUC","created_at":"2026-06-12T01:10:10Z"},{"alias_kind":"pith_short_16","alias_value":"YGCPD5RICGUCZY52","created_at":"2026-06-12T01:10:10Z"},{"alias_kind":"pith_short_8","alias_value":"YGCPD5RI","created_at":"2026-06-12T01:10:10Z"}],"graph_snapshots":[{"event_id":"sha256:e3ba6b1e9c0d36ce16ed6ec6a3d94cb97c41d82002fb7ca54c740fdb4de8090d","target":"graph","created_at":"2026-06-12T01:10:10Z","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/2606.13565/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Discrete diffusion models offer a simple and stable likelihood-based framework for sequence generation, recently extended to any-length settings via token insertion. Principled reward-guided fine-tuning for any-length discrete diffusion, however, remains largely unexplored. We introduce Fine-Tuning Any-Length Discrete Diffusion for Adaptive Decoding (A2D2), a unified framework for reward-guided fine-tuning of any-length discrete diffusion models via joint optimization of the insertion and unmasking policies together with a quality-based inference schedule. We derive the Radon-Nikodym derivativ","authors_text":"Molei Tao, Pranam Chatterjee, Sophia Tang, Yuchen Zhu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-11T16:50:58Z","title":"A2D2: Fine-Tuning Any-Length Discrete Diffusion for Adaptive Decoding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.13565","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":"sha256:76e017e4c212623863c6d9a12c72f032f09e984da503ec3fd86effe1d0c6168f","target":"record","created_at":"2026-06-12T01:10:10Z","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":"5393d3e055bf9ac532cda510a60f1f714c939503cf9a03042cadfaf4b3ec4bdd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-11T16:50:58Z","title_canon_sha256":"0bb3cbf266aa226a63f8c9cda3d96549be2d49784c73686589868844bf6fd3a3"},"schema_version":"1.0","source":{"id":"2606.13565","kind":"arxiv","version":1}},"canonical_sha256":"c184f1f62811a82ce3ba8987e8ff512fa218f76a0ed6aca0e6eb314a3234bc3e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c184f1f62811a82ce3ba8987e8ff512fa218f76a0ed6aca0e6eb314a3234bc3e","first_computed_at":"2026-06-12T01:10:10.460585Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-12T01:10:10.460585Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MvPS0eqa+gv9MYMx435iSEtm+/OhFpFRoWYJ6tE3bVfW+Qme7SizOXtZHf32ECjSE4zoQNCChEmmOjDR6EBVDA==","signature_status":"signed_v1","signed_at":"2026-06-12T01:10:10.461497Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.13565","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:76e017e4c212623863c6d9a12c72f032f09e984da503ec3fd86effe1d0c6168f","sha256:e3ba6b1e9c0d36ce16ed6ec6a3d94cb97c41d82002fb7ca54c740fdb4de8090d"],"state_sha256":"3be43fbb39c45c694562f928bfe5daea88fc36ebd15b7f544834a0f43eefaef0"}