{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CECSOJRJ3R2Z3YOCDWCP3XSOUR","short_pith_number":"pith:CECSOJRJ","canonical_record":{"source":{"id":"2412.07152","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T03:22:04Z","cross_cats_sorted":[],"title_canon_sha256":"264a8a7971acd49ba19682a9c33ba8fb811fcbe5861f92d1c98094b4aef90c00","abstract_canon_sha256":"aab5f82f2463152d50f528d4320fe7c607ee019c1cb180544d041fe9e4cb5aec"},"schema_version":"1.0"},"canonical_sha256":"1105272629dc759de1c21d84fdde4ea44cec32c20f6ba59c85d20e2a6849fe68","source":{"kind":"arxiv","id":"2412.07152","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07152","created_at":"2026-07-05T09:47:04Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07152v1","created_at":"2026-07-05T09:47:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07152","created_at":"2026-07-05T09:47:04Z"},{"alias_kind":"pith_short_12","alias_value":"CECSOJRJ3R2Z","created_at":"2026-07-05T09:47:04Z"},{"alias_kind":"pith_short_16","alias_value":"CECSOJRJ3R2Z3YOC","created_at":"2026-07-05T09:47:04Z"},{"alias_kind":"pith_short_8","alias_value":"CECSOJRJ","created_at":"2026-07-05T09:47:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CECSOJRJ3R2Z3YOCDWCP3XSOUR","target":"record","payload":{"canonical_record":{"source":{"id":"2412.07152","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T03:22:04Z","cross_cats_sorted":[],"title_canon_sha256":"264a8a7971acd49ba19682a9c33ba8fb811fcbe5861f92d1c98094b4aef90c00","abstract_canon_sha256":"aab5f82f2463152d50f528d4320fe7c607ee019c1cb180544d041fe9e4cb5aec"},"schema_version":"1.0"},"canonical_sha256":"1105272629dc759de1c21d84fdde4ea44cec32c20f6ba59c85d20e2a6849fe68","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:47:04.821869Z","signature_b64":"gcvnYqDZnM+IjH/3SJqqG7kgBza1dHTppqGcj7HMtj9s3YTDQZHzYbcgLulMn9ya3XtF0Pc3xOR3JE5KGUlHDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1105272629dc759de1c21d84fdde4ea44cec32c20f6ba59c85d20e2a6849fe68","last_reissued_at":"2026-07-05T09:47:04.821405Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:47:04.821405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.07152","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:47:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jMXd3Bc33NpNYL112Qjh/7dO9gsbISWuXP7sNj+iXsUyd+JP7AU0m/E50s9ZedrjTbbOkSAKLNMFO0ZqnPFUAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:01:43.291942Z"},"content_sha256":"22676d87e680f38e623ade9811ec2bcd696bcdd810d7d596fe6504a7b3988217","schema_version":"1.0","event_id":"sha256:22676d87e680f38e623ade9811ec2bcd696bcdd810d7d596fe6504a7b3988217"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CECSOJRJ3R2Z3YOCDWCP3XSOUR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hero-SR: One-Step Diffusion for Super-Resolution with Human Perception Priors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haigen Liu, Jiangang Wang, Jinwei Chen, Qingnan Fan, Qi Zhang, Wenqi Ren, Yuhang Yu","submitted_at":"2024-12-10T03:22:04Z","abstract_excerpt":"Owing to the robust priors of diffusion models, recent approaches have shown promise in addressing real-world super-resolution (Real-SR). However, achieving semantic consistency and perceptual naturalness to meet human perception demands remains difficult, especially under conditions of heavy degradation and varied input complexities. To tackle this, we propose Hero-SR, a one-step diffusion-based SR framework explicitly designed with human perception priors. Hero-SR consists of two novel modules: the Dynamic Time-Step Module (DTSM), which adaptively selects optimal diffusion steps for flexibly"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07152","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.07152/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:47:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gsPtEasO/aisyROZj7EukIQnd4xHHFpFBm7zDbhbQvL2blzEdHdVN9KVGfeS1nA98rQ9U8Db8CHCfDlrV1oQDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:01:43.292587Z"},"content_sha256":"f5a29e3aadcd94857c633f7356665a24b97b755d987bc62c8972229c2da04aee","schema_version":"1.0","event_id":"sha256:f5a29e3aadcd94857c633f7356665a24b97b755d987bc62c8972229c2da04aee"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CECSOJRJ3R2Z3YOCDWCP3XSOUR/bundle.json","state_url":"https://pith.science/pith/CECSOJRJ3R2Z3YOCDWCP3XSOUR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CECSOJRJ3R2Z3YOCDWCP3XSOUR/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T01:01:43Z","links":{"resolver":"https://pith.science/pith/CECSOJRJ3R2Z3YOCDWCP3XSOUR","bundle":"https://pith.science/pith/CECSOJRJ3R2Z3YOCDWCP3XSOUR/bundle.json","state":"https://pith.science/pith/CECSOJRJ3R2Z3YOCDWCP3XSOUR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CECSOJRJ3R2Z3YOCDWCP3XSOUR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CECSOJRJ3R2Z3YOCDWCP3XSOUR","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":"aab5f82f2463152d50f528d4320fe7c607ee019c1cb180544d041fe9e4cb5aec","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T03:22:04Z","title_canon_sha256":"264a8a7971acd49ba19682a9c33ba8fb811fcbe5861f92d1c98094b4aef90c00"},"schema_version":"1.0","source":{"id":"2412.07152","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07152","created_at":"2026-07-05T09:47:04Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07152v1","created_at":"2026-07-05T09:47:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07152","created_at":"2026-07-05T09:47:04Z"},{"alias_kind":"pith_short_12","alias_value":"CECSOJRJ3R2Z","created_at":"2026-07-05T09:47:04Z"},{"alias_kind":"pith_short_16","alias_value":"CECSOJRJ3R2Z3YOC","created_at":"2026-07-05T09:47:04Z"},{"alias_kind":"pith_short_8","alias_value":"CECSOJRJ","created_at":"2026-07-05T09:47:04Z"}],"graph_snapshots":[{"event_id":"sha256:f5a29e3aadcd94857c633f7356665a24b97b755d987bc62c8972229c2da04aee","target":"graph","created_at":"2026-07-05T09:47:04Z","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/2412.07152/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Owing to the robust priors of diffusion models, recent approaches have shown promise in addressing real-world super-resolution (Real-SR). However, achieving semantic consistency and perceptual naturalness to meet human perception demands remains difficult, especially under conditions of heavy degradation and varied input complexities. To tackle this, we propose Hero-SR, a one-step diffusion-based SR framework explicitly designed with human perception priors. Hero-SR consists of two novel modules: the Dynamic Time-Step Module (DTSM), which adaptively selects optimal diffusion steps for flexibly","authors_text":"Haigen Liu, Jiangang Wang, Jinwei Chen, Qingnan Fan, Qi Zhang, Wenqi Ren, Yuhang Yu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T03:22:04Z","title":"Hero-SR: One-Step Diffusion for Super-Resolution with Human Perception Priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07152","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":"sha256:22676d87e680f38e623ade9811ec2bcd696bcdd810d7d596fe6504a7b3988217","target":"record","created_at":"2026-07-05T09:47:04Z","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":"aab5f82f2463152d50f528d4320fe7c607ee019c1cb180544d041fe9e4cb5aec","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T03:22:04Z","title_canon_sha256":"264a8a7971acd49ba19682a9c33ba8fb811fcbe5861f92d1c98094b4aef90c00"},"schema_version":"1.0","source":{"id":"2412.07152","kind":"arxiv","version":1}},"canonical_sha256":"1105272629dc759de1c21d84fdde4ea44cec32c20f6ba59c85d20e2a6849fe68","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1105272629dc759de1c21d84fdde4ea44cec32c20f6ba59c85d20e2a6849fe68","first_computed_at":"2026-07-05T09:47:04.821405Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:47:04.821405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gcvnYqDZnM+IjH/3SJqqG7kgBza1dHTppqGcj7HMtj9s3YTDQZHzYbcgLulMn9ya3XtF0Pc3xOR3JE5KGUlHDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:47:04.821869Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.07152","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22676d87e680f38e623ade9811ec2bcd696bcdd810d7d596fe6504a7b3988217","sha256:f5a29e3aadcd94857c633f7356665a24b97b755d987bc62c8972229c2da04aee"],"state_sha256":"ba5d958d986f5a84ae290d8dbe6305c627c3cb1f4abae29779580f11a450fa4c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Khrw9loV1Ei65KgeLJ6MymkhJ0yVX3zAF54QOr7YYduq+5I0xH7dFFHJlZoQjTCSROb5+GLnegPE3dj/TYGdAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T01:01:43.304717Z","bundle_sha256":"64b5ae0a3c949c331d842f533d02addfb07f0cefb3aa36d3723f68398d9e8fb9"}}