{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LVRV43PEDQTISTUVWLLUPLY5S6","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":"20827ae73ba4301014fe293e5cb1e021e97017281c2713e7e38b5cd350ff16e2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-28T04:26:05Z","title_canon_sha256":"c6ce77221c528a069b6d840d5f79067a3cfc5d3b34a14fcf97402140faf76dfd"},"schema_version":"1.0","source":{"id":"2607.25275","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.25275","created_at":"2026-07-29T00:25:12Z"},{"alias_kind":"arxiv_version","alias_value":"2607.25275v1","created_at":"2026-07-29T00:25:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25275","created_at":"2026-07-29T00:25:12Z"},{"alias_kind":"pith_short_12","alias_value":"LVRV43PEDQTI","created_at":"2026-07-29T00:25:12Z"},{"alias_kind":"pith_short_16","alias_value":"LVRV43PEDQTISTUV","created_at":"2026-07-29T00:25:12Z"},{"alias_kind":"pith_short_8","alias_value":"LVRV43PE","created_at":"2026-07-29T00:25:12Z"}],"graph_snapshots":[{"event_id":"sha256:f5388334ed6242ea437023153f6959cb95ca2d236673f11184bf17df372f8b7e","target":"graph","created_at":"2026-07-29T00:25:12Z","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/2607.25275/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Real-world Image Restoration (Real-IR) aims to recover high-quality (HQ) images from complex and unknown degradations. Although recent diffusion-based methods have substantially improved perceptual quality, their current designs leave two key challenges unresolved. Methods that start from Gaussian noise are slow and often less faithful to the degraded input. Residual-based methods usually train from scratch, which makes it hard to exploit modern pre-trained generative priors. In this paper, we present ScaleResfusion, a scalable diffusion framework for real-world image restoration built on pre-","authors_text":"Chen Xu, Junhao Zhang, Kefei Zhang, Linjie Liu, Tao Li, Zhedong Zheng, Zhenning Shi","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-28T04:26:05Z","title":"ScaleResfusion: Residual Rectified Flow based on Residual Vector Field"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25275","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":"sha256:0cfc50942d2e5f95cc2344ea5b95a77e21a7085671c4e505e1b100115d67cef0","target":"record","created_at":"2026-07-29T00:25:12Z","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":"20827ae73ba4301014fe293e5cb1e021e97017281c2713e7e38b5cd350ff16e2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-28T04:26:05Z","title_canon_sha256":"c6ce77221c528a069b6d840d5f79067a3cfc5d3b34a14fcf97402140faf76dfd"},"schema_version":"1.0","source":{"id":"2607.25275","kind":"arxiv","version":1}},"canonical_sha256":"5d635e6de41c26894e95b2d747af1d979cc293139b464a321dd467c9c3d2a84e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d635e6de41c26894e95b2d747af1d979cc293139b464a321dd467c9c3d2a84e","first_computed_at":"2026-07-29T00:25:12.237368Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-29T00:25:12.237368Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iiHne95eN39kKNdv/zhcp1qculbAs9fEZEo39Dn42tkk7w0S6LgKMB9HHjqYX49mEd1edETNPBJABNcbl41YCw==","signature_status":"signed_v1","signed_at":"2026-07-29T00:25:12.238205Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.25275","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0cfc50942d2e5f95cc2344ea5b95a77e21a7085671c4e505e1b100115d67cef0","sha256:f5388334ed6242ea437023153f6959cb95ca2d236673f11184bf17df372f8b7e"],"state_sha256":"f52fa597d9bcbedd482bb556f810bc5978e90b7dc3f40528adb9a43dfeb6025e"}