{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Q7KKTL6QZYBG2A65BWAP76YTEC","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":"334b73ea729bc65c4afa06e5a43d8051d7fcfa1d2da12f0ead0ddbf616e5a266","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-24T09:28:21Z","title_canon_sha256":"f9c2e2706a6aebcad35f1f4f15b5694d11960adfe4f3874fb56bd2e6e476397e"},"schema_version":"1.0","source":{"id":"2406.16476","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.16476","created_at":"2026-07-05T08:35:59Z"},{"alias_kind":"arxiv_version","alias_value":"2406.16476v1","created_at":"2026-07-05T08:35:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.16476","created_at":"2026-07-05T08:35:59Z"},{"alias_kind":"pith_short_12","alias_value":"Q7KKTL6QZYBG","created_at":"2026-07-05T08:35:59Z"},{"alias_kind":"pith_short_16","alias_value":"Q7KKTL6QZYBG2A65","created_at":"2026-07-05T08:35:59Z"},{"alias_kind":"pith_short_8","alias_value":"Q7KKTL6Q","created_at":"2026-07-05T08:35:59Z"}],"graph_snapshots":[{"event_id":"sha256:ca5051d02ea2a5ae1dd0a65bb4973c455c315ac50bb932ae040f09ff02961db6","target":"graph","created_at":"2026-07-05T08:35:59Z","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/2406.16476/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models excel at producing high-quality images; however, scaling to higher resolutions, such as 4K, often results in over-smoothed content, structural distortions, and repetitive patterns. To this end, we introduce ResMaster, a novel, training-free method that empowers resolution-limited diffusion models to generate high-quality images beyond resolution restrictions. Specifically, ResMaster leverages a low-resolution reference image created by a pre-trained diffusion model to provide structural and fine-grained guidance for crafting high-resolution images on a patch-by-patch basis. To","authors_text":"Biao Gong, Jingwen He, Shuwei Shi, Wenbo Li, Yinqiang Zheng, Yuechen Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-24T09:28:21Z","title":"ResMaster: Mastering High-Resolution Image Generation via Structural and Fine-Grained Guidance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.16476","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":"sha256:065dc0923eb53e26172ae2c5111ccdb5ab637c502c726c9e5ed8357bd804db6f","target":"record","created_at":"2026-07-05T08:35:59Z","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":"334b73ea729bc65c4afa06e5a43d8051d7fcfa1d2da12f0ead0ddbf616e5a266","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-24T09:28:21Z","title_canon_sha256":"f9c2e2706a6aebcad35f1f4f15b5694d11960adfe4f3874fb56bd2e6e476397e"},"schema_version":"1.0","source":{"id":"2406.16476","kind":"arxiv","version":1}},"canonical_sha256":"87d4a9afd0ce026d03dd0d80fffb1320bdbe528b8154fb9a9b80366294609ebb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"87d4a9afd0ce026d03dd0d80fffb1320bdbe528b8154fb9a9b80366294609ebb","first_computed_at":"2026-07-05T08:35:59.302346Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:35:59.302346Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O/kRgV9CejzSS32eHlh5FDIry2xjFUpJzIaUwR4HPX+nOEAzskVS1CSmJ2tr6r2rxJZXntZwPO8jCLR84inYBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:35:59.302784Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.16476","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:065dc0923eb53e26172ae2c5111ccdb5ab637c502c726c9e5ed8357bd804db6f","sha256:ca5051d02ea2a5ae1dd0a65bb4973c455c315ac50bb932ae040f09ff02961db6"],"state_sha256":"d8a9da8d4d3d1b11bb785bb42e7647cc2496e7d390ecd54dcaf369666b4a8691"}