{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:V7WRVDCJFOR2VKGYBB5QUJBQ5F","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":"e39ad5a1bd3c64dd60ccd3861776dc446f550ce6ee2f0b04ab0f53af60651af4","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-10T07:55:57Z","title_canon_sha256":"286469375bd170b7ac6fdb6ee8bed9ecec67082ccc904f2a54f958d73689048a"},"schema_version":"1.0","source":{"id":"2608.09233","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.09233","created_at":"2026-08-11T02:22:08Z"},{"alias_kind":"arxiv_version","alias_value":"2608.09233v1","created_at":"2026-08-11T02:22:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.09233","created_at":"2026-08-11T02:22:08Z"},{"alias_kind":"pith_short_12","alias_value":"V7WRVDCJFOR2","created_at":"2026-08-11T02:22:08Z"},{"alias_kind":"pith_short_16","alias_value":"V7WRVDCJFOR2VKGY","created_at":"2026-08-11T02:22:08Z"},{"alias_kind":"pith_short_8","alias_value":"V7WRVDCJ","created_at":"2026-08-11T02:22:08Z"}],"graph_snapshots":[{"event_id":"sha256:e102410ddb269274c2d05702d73dec4652e7196a6c33a94bec4a1a2791e00610","target":"graph","created_at":"2026-08-11T02:22:08Z","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/2608.09233/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Flow-matching models are now a mainstream method to image generation, but its adaptation to diverse downstream scenarios typically relies on post-training, which may cause conflicts among task-specific optimization objectives. Reinforcement learning enables direct optimization of task-specific rewards beyond the original models, yet trajectory-level optimization may incur high-variance gradients and cross-task interference. On-policy distillation (OPD) offers dense and stable supervision on student rollouts, but conventional teacher matching remains imitation-based. We propose DreOPD, a Degrad","authors_text":"Chengfei Cai, Liang Han, Lin Xu, Mingfeng Lin, Yuxiang Wei","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-10T07:55:57Z","title":"DreOPD: Degraded-Reference Extrapolative On-Policy Distillation for Flow-matching Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.09233","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":"sha256:8a4fdc9db94cc619e59e5c6387d4e9246be46cd8644587c14cdf193b508dfaf7","target":"record","created_at":"2026-08-11T02:22:08Z","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":"e39ad5a1bd3c64dd60ccd3861776dc446f550ce6ee2f0b04ab0f53af60651af4","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-10T07:55:57Z","title_canon_sha256":"286469375bd170b7ac6fdb6ee8bed9ecec67082ccc904f2a54f958d73689048a"},"schema_version":"1.0","source":{"id":"2608.09233","kind":"arxiv","version":1}},"canonical_sha256":"afed1a8c492ba3aaa8d8087b0a2430e962a524fbe8bac81a91897fb296e68089","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"afed1a8c492ba3aaa8d8087b0a2430e962a524fbe8bac81a91897fb296e68089","first_computed_at":"2026-08-11T02:22:08.547321Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T02:22:08.547321Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8aKVKa97plfJQW5NMy0FguRzhoYslapOICUAnV8rgGpspm2xGCCqpN+nLwN7ZCDoLyL42ikchdKltwgCaiPLBQ==","signature_status":"signed_v1","signed_at":"2026-08-11T02:22:08.549046Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.09233","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a4fdc9db94cc619e59e5c6387d4e9246be46cd8644587c14cdf193b508dfaf7","sha256:e102410ddb269274c2d05702d73dec4652e7196a6c33a94bec4a1a2791e00610"],"state_sha256":"e4303bc39a4913744f28cd7a177edc7ab56f96ade55740d60ad8e40acab043c8"}