{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YQJ4BCEZRRFG7RERI52G6NZA2M","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":"aa57f46e50473d6dedf40b2d9fe10714478282ac5d7e1d8e258dca69575c61b7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-16T17:24:57Z","title_canon_sha256":"5f7a2dffc08c9de4122f2f22f7e0c5fb7805260897b634d18246415cebeff380"},"schema_version":"1.0","source":{"id":"2606.18195","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.18195","created_at":"2026-06-19T16:10:50Z"},{"alias_kind":"arxiv_version","alias_value":"2606.18195v1","created_at":"2026-06-19T16:10:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.18195","created_at":"2026-06-19T16:10:50Z"},{"alias_kind":"pith_short_12","alias_value":"YQJ4BCEZRRFG","created_at":"2026-06-19T16:10:50Z"},{"alias_kind":"pith_short_16","alias_value":"YQJ4BCEZRRFG7RER","created_at":"2026-06-19T16:10:50Z"},{"alias_kind":"pith_short_8","alias_value":"YQJ4BCEZ","created_at":"2026-06-19T16:10:50Z"}],"graph_snapshots":[{"event_id":"sha256:bef134fd036a941d96ba3ff35984de903b7ebeac45ff0677f5e433ffa4d80615","target":"graph","created_at":"2026-06-19T16:10:50Z","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/2606.18195/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"On-policy self-distillation (OPSD) has proven effective for post-training large language models (LLMs), yet its application to diffusion LLMs (dLLMs) remains unexplored. Existing OPSD methods are inherently autoregressive-centric. They inject privileged information via left-to-right prefix conditioning with token-level divergence supervision, a design that fundamentally conflicts with the arbitraryorder generation of dLLMs. We introduce d-OPSD, the first OPSD framework tailored for dLLMs. Our approach makes two core contributions. First, we reframe self-teacher construction by using self-gener","authors_text":"Haoyu Wang, Shiwei Liu, Xinhao Hu, Yifu Luo, Yuxuan Zhang, Zeyu Chen, Zhizhou Sha","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-16T17:24:57Z","title":"Learning from the Self-future: On-policy Self-distillation for dLLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.18195","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":"sha256:49ee3667c9c3cc6234d52a6028f3c9d0d6a90511938a4e06cdd9b3e9cb872178","target":"record","created_at":"2026-06-19T16:10:50Z","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":"aa57f46e50473d6dedf40b2d9fe10714478282ac5d7e1d8e258dca69575c61b7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-16T17:24:57Z","title_canon_sha256":"5f7a2dffc08c9de4122f2f22f7e0c5fb7805260897b634d18246415cebeff380"},"schema_version":"1.0","source":{"id":"2606.18195","kind":"arxiv","version":1}},"canonical_sha256":"c413c088998c4a6fc49147746f3720d31d3c3ca3c3e1403550eb31d9375be633","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c413c088998c4a6fc49147746f3720d31d3c3ca3c3e1403550eb31d9375be633","first_computed_at":"2026-06-19T16:10:50.688090Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:10:50.688090Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EuEnA5c/JWEmzkME9sCCPyAzkUnNGgCcGG+Uz42gRu8YYQlQnjmWT6/H+aboq9Qhk2D94suioBfFkZoe0+0OBw==","signature_status":"signed_v1","signed_at":"2026-06-19T16:10:50.688446Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.18195","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:49ee3667c9c3cc6234d52a6028f3c9d0d6a90511938a4e06cdd9b3e9cb872178","sha256:bef134fd036a941d96ba3ff35984de903b7ebeac45ff0677f5e433ffa4d80615"],"state_sha256":"adeac2229619dc39b23a74732c7d87b20737e0cfcc3a176e63c3a8e886f7715f"}