{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SCMUJQHMEBYP2P3A2JEIQODJYZ","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":"a4fc7b85ca655021dec50432dd18974d58bf9a1fc34a5cc8a457f98e4db3b37a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-13T12:49:40Z","title_canon_sha256":"c66a50a55b27540ebb027ffdd081de78ec3c11ca37465229cbe4e0a1375495df"},"schema_version":"1.0","source":{"id":"2605.13457","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.13457","created_at":"2026-05-18T02:44:41Z"},{"alias_kind":"arxiv_version","alias_value":"2605.13457v1","created_at":"2026-05-18T02:44:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.13457","created_at":"2026-05-18T02:44:41Z"},{"alias_kind":"pith_short_12","alias_value":"SCMUJQHMEBYP","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"SCMUJQHMEBYP2P3A","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"SCMUJQHM","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:529e1e296fb88474ab0ba85d0fe7155cb9d7d6033d115b029aee15a0f1ba40fb","target":"graph","created_at":"2026-05-18T02:44:41Z","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":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"OP4KSR achieves competitive perceptual quality with efficient inference, generating a 4096×4096 output in only 5.75 seconds on a single NVIDIA H20 GPU."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"That the F16 VAE compression preserves enough high-frequency detail for competitive 4K perceptual quality and that the RoPE rescaling plus autocorrelation loss fully suppresses artifacts without introducing new degradations."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"OP4KSR enables efficient one-step 4K super-resolution without patches by adapting Flux with RoPE rescaling and periodicity loss to suppress artifacts."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"OP4KSR enables direct 4K super-resolution of full images in one diffusion step by using F16 VAE compression and fixing periodic artifacts."}],"snapshot_sha256":"2c666790fa83a817520a8b8f0cb940967c78f28decd8df5bea987afbe9d5a575"},"formal_canon":{"evidence_count":2,"snapshot_sha256":"7bdabb270ed9f15a650907ce212b42d488e6d846067f30e7e871ef47aac2d67f"},"paper":{"abstract_excerpt":"Diffusion-based real-world image super-resolution (Real-ISR) has achieved remarkable perceptual quality; however, directly super-resolving images to 4K remains limited by extreme memory consumption. Consequently, prior methods adopt patch-based inference, sacrificing global context and introducing semantic confusion, spatial inconsistency, and severe latency. We propose OP4KSR, a one-step patch-free 4K SR approach built upon the powerful Flux backbone. By leveraging the extreme-compression F16 VAE, OP4KSR makes 4K SR inference tractable under practical GPU budgets, preserving global spatial-se","authors_text":"Chengyan Deng, Kai Zhang, Li Yu, Lunxi Yuan, Meng Li, Pengbin Yu, Wei Shen, Xue Zhou, Zhentao Chen","cross_cats":[],"headline":"OP4KSR enables direct 4K super-resolution of full images in one diffusion step by using F16 VAE compression and fixing periodic artifacts.","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-13T12:49:40Z","title":"OP4KSR: One-Step Patch-Free 4K Super-Resolution with Periodic Artifact Suppression"},"references":{"count":77,"internal_anchors":6,"resolved_work":77,"sample":[{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":1,"title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops","work_id":"19b53fbe-4ad0-4410-8cb4-36dae9fe1822","year":2017},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":2,"title":"Advances in Neural Information Processing Systems37, 55443–55469 (2024)","work_id":"c8da6182-56dd-4f21-a61f-50f7cb9dcbdd","year":2024},{"cited_arxiv_id":"2511.21631","doi":"","is_internal_anchor":true,"ref_index":3,"title":"Qwen3-VL Technical Report","work_id":"1fe243aa-e3c0-4da6-b391-4cbcfc88d5c0","year":2025},{"cited_arxiv_id":"2311.15127","doi":"","is_internal_anchor":true,"ref_index":4,"title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","work_id":"4f68eada-27e3-437a-a2fe-6e4ca524d0d3","year":2023},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":5,"title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","work_id":"ffd890f4-b7e5-4d78-ab18-531c5eaa477e","year":2025}],"snapshot_sha256":"257c79819017ccb4ea8488d20b3878a741293af70123ca988062766e522c88b1"},"source":{"id":"2605.13457","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-14T20:32:14.838987Z","id":"de96afb9-375c-4591-8a3e-4cb38b9b9cf5","model_set":{"reader":"grok-4.3"},"one_line_summary":"OP4KSR enables efficient one-step 4K super-resolution without patches by adapting Flux with RoPE rescaling and periodicity loss to suppress artifacts.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"OP4KSR enables direct 4K super-resolution of full images in one diffusion step by using F16 VAE compression and fixing periodic artifacts.","strongest_claim":"OP4KSR achieves competitive perceptual quality with efficient inference, generating a 4096×4096 output in only 5.75 seconds on a single NVIDIA H20 GPU.","weakest_assumption":"That the F16 VAE compression preserves enough high-frequency detail for competitive 4K perceptual quality and that the RoPE rescaling plus autocorrelation loss fully suppresses artifacts without introducing new degradations."}},"verdict_id":"de96afb9-375c-4591-8a3e-4cb38b9b9cf5"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:97dd69ee070827697e2d878b1b3d1cf02bf0800de565c0082954fc56c29724c5","target":"record","created_at":"2026-05-18T02:44:41Z","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":"a4fc7b85ca655021dec50432dd18974d58bf9a1fc34a5cc8a457f98e4db3b37a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-13T12:49:40Z","title_canon_sha256":"c66a50a55b27540ebb027ffdd081de78ec3c11ca37465229cbe4e0a1375495df"},"schema_version":"1.0","source":{"id":"2605.13457","kind":"arxiv","version":1}},"canonical_sha256":"909944c0ec2070fd3f60d248883869c678709acfbf1651874e6604e113d23ae2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"909944c0ec2070fd3f60d248883869c678709acfbf1651874e6604e113d23ae2","first_computed_at":"2026-05-18T02:44:41.789183Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:44:41.789183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xmI8c+DJW3r6pS2FT7UTMt2ktuYY91o84k6kKQklX5m7WRN8Ge7jp9FxcToArAaV+MtpPb9v8MnMF+0D3yuGAw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:44:41.789611Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.13457","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:97dd69ee070827697e2d878b1b3d1cf02bf0800de565c0082954fc56c29724c5","sha256:529e1e296fb88474ab0ba85d0fe7155cb9d7d6033d115b029aee15a0f1ba40fb"],"state_sha256":"60d7387caa317251c2594f46ff8b3576018174047171e315baba2204e298c945"}