{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4LZTW7IZVS2Y6LHNP22TB2NP4Z","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":"7177f1c3ff81f9de06531b27dd342106c483e706b9c69836074b43542a7eb39a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-26T04:49:42Z","title_canon_sha256":"e2933229e25fe6fc774e9900aeb4425ba0ec9fedff1d3d988e785f5ff9e2019b"},"schema_version":"1.0","source":{"id":"2411.17106","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.17106","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"arxiv_version","alias_value":"2411.17106v3","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.17106","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"pith_short_12","alias_value":"4LZTW7IZVS2Y","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"pith_short_16","alias_value":"4LZTW7IZVS2Y6LHN","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"pith_short_8","alias_value":"4LZTW7IZ","created_at":"2026-07-05T09:43:37Z"}],"graph_snapshots":[{"event_id":"sha256:cbf193da8ea467b6431085144f3e2a4e28c187edc3905db1c5b5f46e410e0d18","target":"graph","created_at":"2026-07-05T09:43:37Z","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/2411.17106/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion-based image super-resolution (SR) models have shown superior performance at the cost of multiple denoising steps. However, even though the denoising step has been reduced to one, they require high computational costs and storage requirements, making it difficult for deployment on hardware devices. To address these issues, we propose a novel post-training quantization approach with adaptive scale in one-step diffusion (OSD) image SR, PassionSR. First, we simplify OSD model to two core components, UNet and Variational Autoencoder (VAE) by removing the CLIPEncoder. Secondly, we propose ","authors_text":"Haotong Qin, Jianze Li, Libo Zhu, Wenbo Li, Xiaokang Yang, Yong Guo, Yulun Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-26T04:49:42Z","title":"PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.17106","kind":"arxiv","version":3},"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:f94d092360ed0c1fa04627f60e2902f5e3d72e5350bfbb6fbd00867bb52966a3","target":"record","created_at":"2026-07-05T09:43:37Z","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":"7177f1c3ff81f9de06531b27dd342106c483e706b9c69836074b43542a7eb39a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-26T04:49:42Z","title_canon_sha256":"e2933229e25fe6fc774e9900aeb4425ba0ec9fedff1d3d988e785f5ff9e2019b"},"schema_version":"1.0","source":{"id":"2411.17106","kind":"arxiv","version":3}},"canonical_sha256":"e2f33b7d19acb58f2ced7eb530e9afe641a7c3a271f6773362e9352ac1602989","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e2f33b7d19acb58f2ced7eb530e9afe641a7c3a271f6773362e9352ac1602989","first_computed_at":"2026-07-05T09:43:37.303857Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:43:37.303857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aitxKXfTJLsL80oWRDrs+g0MayoXhIFaWdMdoLhpO2grEWFVQAGiRK6TUcn8OC97d5OFSXzjIW6f1/r0WczFCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:43:37.304370Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.17106","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f94d092360ed0c1fa04627f60e2902f5e3d72e5350bfbb6fbd00867bb52966a3","sha256:cbf193da8ea467b6431085144f3e2a4e28c187edc3905db1c5b5f46e410e0d18"],"state_sha256":"cad56ca95bdaa4b1b1fa4c681cef7eb7484651819adc1e25fc32e5242362fff4"}