{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TRHBEKPRXKVKCI4BWDA7TZHS5I","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":"2daa189e151b5094098aedc7079ed3358e55cd6e90ef1a0a20e8c7fcc05e8e67","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-11T12:39:46Z","title_canon_sha256":"27f3d6daeb601a9ab180d68f067b913b43e1522ffcc6dc298355c79a9a0e22e4"},"schema_version":"1.0","source":{"id":"2508.07926","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.07926","created_at":"2026-07-05T11:52:04Z"},{"alias_kind":"arxiv_version","alias_value":"2508.07926v1","created_at":"2026-07-05T11:52:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.07926","created_at":"2026-07-05T11:52:04Z"},{"alias_kind":"pith_short_12","alias_value":"TRHBEKPRXKVK","created_at":"2026-07-05T11:52:04Z"},{"alias_kind":"pith_short_16","alias_value":"TRHBEKPRXKVKCI4B","created_at":"2026-07-05T11:52:04Z"},{"alias_kind":"pith_short_8","alias_value":"TRHBEKPR","created_at":"2026-07-05T11:52:04Z"}],"graph_snapshots":[{"event_id":"sha256:48d4a69243e3dd38611bfbadb6f71562f97e29c4f4eaeb9fbc605e70b0c54d1e","target":"graph","created_at":"2026-07-05T11:52:04Z","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/2508.07926/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models have achieved remarkable success in generative modeling. However, this study confirms the existence of overfitting in diffusion model training, particularly in data-limited regimes. To address this challenge, we propose Score Augmentation (ScoreAug), a novel data augmentation framework specifically designed for diffusion models. Unlike conventional augmentation approaches that operate on clean data, ScoreAug applies transformations to noisy data, aligning with the inherent denoising mechanism of diffusion. Crucially, ScoreAug further requires the denoiser to predict the augmen","authors_text":"Boyuan Jiang, Di Zhang, Kun Gai, Liang Hou, Pengfei Wan, Qi Yan, Renjie Liao, Xin Tao, Yuan Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-11T12:39:46Z","title":"Score Augmentation for Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.07926","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:b730e8c53f6e98d5a24736668bb9d60ab9f50a5ca495c5862aac89d401e2ccba","target":"record","created_at":"2026-07-05T11:52:04Z","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":"2daa189e151b5094098aedc7079ed3358e55cd6e90ef1a0a20e8c7fcc05e8e67","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-11T12:39:46Z","title_canon_sha256":"27f3d6daeb601a9ab180d68f067b913b43e1522ffcc6dc298355c79a9a0e22e4"},"schema_version":"1.0","source":{"id":"2508.07926","kind":"arxiv","version":1}},"canonical_sha256":"9c4e1229f1baaaa12381b0c1f9e4f2ea2f931c3df2eb81b0729ee88a8bf3ba98","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9c4e1229f1baaaa12381b0c1f9e4f2ea2f931c3df2eb81b0729ee88a8bf3ba98","first_computed_at":"2026-07-05T11:52:04.926072Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:52:04.926072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"semx+q86EGeBI22mIdUzysRs3a7Zz/Ba+9KXxZDiLo+cfZCA/ZmuzSR5lGaasXA2HRlaWuCp/q+dAx02xSpkDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:52:04.926652Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.07926","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b730e8c53f6e98d5a24736668bb9d60ab9f50a5ca495c5862aac89d401e2ccba","sha256:48d4a69243e3dd38611bfbadb6f71562f97e29c4f4eaeb9fbc605e70b0c54d1e"],"state_sha256":"44197837551136c7040c9f619111a52fda512604b64eb5189a0a6fbe8a21f200"}