{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XUR6AB6BJYU6P6Q34MVWWRBLT7","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":"c69213963b5fe02b0d1191fb1f3782fccfe30a2725862511164d41c1af9a761a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T13:35:11Z","title_canon_sha256":"366aee6aaaa2a194aef392439704f320cb6435e31af9f6d2583c267a2cd5d903"},"schema_version":"1.0","source":{"id":"2605.19839","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.19839","created_at":"2026-05-20T01:06:17Z"},{"alias_kind":"arxiv_version","alias_value":"2605.19839v1","created_at":"2026-05-20T01:06:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.19839","created_at":"2026-05-20T01:06:17Z"},{"alias_kind":"pith_short_12","alias_value":"XUR6AB6BJYU6","created_at":"2026-05-20T01:06:17Z"},{"alias_kind":"pith_short_16","alias_value":"XUR6AB6BJYU6P6Q3","created_at":"2026-05-20T01:06:17Z"},{"alias_kind":"pith_short_8","alias_value":"XUR6AB6B","created_at":"2026-05-20T01:06:17Z"}],"graph_snapshots":[{"event_id":"sha256:ea93283cee938a16a0c3b4c5137a128900cc972b9a460356929602d50264527f","target":"graph","created_at":"2026-05-20T01:06:17Z","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/2605.19839/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Preference alignment aims to guide generative models by learning from comparisons between preferred and non-preferred samples. In practice, most existing approaches rely on preference pairs constructed from model-generated images. Such supervision is inherently relative and can be ambiguous when both samples exhibit artifacts or limited visual quality, making it difficult to infer what constitutes a truly desirable output. In this work, we investigate whether real data can serve as an alternative source of supervision for preference alignment. We adopt a data-centric perspective and study a cu","authors_text":"Ibrahim Radwan, Liang Lin, Pengxu Wei, Weijian Deng, Weijie Tu, Weiyan Chen, Yao Xiao, ZiYi Dong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T13:35:11Z","title":"When Preference Labels Fall Short: Aligning Diffusion Models from Real Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.19839","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":"sha256:16ab0d91ba0b175e4bcfa4ecfb463f98caea7af5dbe1aed2b2c908ab7f3bdadf","target":"record","created_at":"2026-05-20T01:06:17Z","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":"c69213963b5fe02b0d1191fb1f3782fccfe30a2725862511164d41c1af9a761a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T13:35:11Z","title_canon_sha256":"366aee6aaaa2a194aef392439704f320cb6435e31af9f6d2583c267a2cd5d903"},"schema_version":"1.0","source":{"id":"2605.19839","kind":"arxiv","version":1}},"canonical_sha256":"bd23e007c14e29e7fa1be32b6b442b9ff710ec83b8c5823cd7b2c7cfac06b647","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bd23e007c14e29e7fa1be32b6b442b9ff710ec83b8c5823cd7b2c7cfac06b647","first_computed_at":"2026-05-20T01:06:17.070699Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T01:06:17.070699Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PE6c+6VTeynAnbTOHWhsiXr4oCkYTiUqzyoZCAEuIWvGkXYkpF/LKXA0+VxLYjBulBmnEpLdYy0t4faMUwerAg==","signature_status":"signed_v1","signed_at":"2026-05-20T01:06:17.071378Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.19839","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16ab0d91ba0b175e4bcfa4ecfb463f98caea7af5dbe1aed2b2c908ab7f3bdadf","sha256:ea93283cee938a16a0c3b4c5137a128900cc972b9a460356929602d50264527f"],"state_sha256":"4f013dbc568d5d8edf853321ca5e497bf3f4cf25ccf45017149caf6812ec84c5"}