{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BC2T72UL7RMJX7TQ2PJ6D25OYT","short_pith_number":"pith:BC2T72UL","canonical_record":{"source":{"id":"2506.02605","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T08:28:13Z","cross_cats_sorted":[],"title_canon_sha256":"68dd72f8c1708d0e87362bf307601d984cc97605f522852b3d386aa2401527ec","abstract_canon_sha256":"e9849b3ee884d195a933aeaf56dc773298b749795ce9aa506daf98cf827b3851"},"schema_version":"1.0"},"canonical_sha256":"08b53fea8bfc589bfe70d3d3e1ebaec4e9a459ea2247b435d756bb1f56589016","source":{"kind":"arxiv","id":"2506.02605","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02605","created_at":"2026-07-05T11:15:05Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02605v1","created_at":"2026-07-05T11:15:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02605","created_at":"2026-07-05T11:15:05Z"},{"alias_kind":"pith_short_12","alias_value":"BC2T72UL7RMJ","created_at":"2026-07-05T11:15:05Z"},{"alias_kind":"pith_short_16","alias_value":"BC2T72UL7RMJX7TQ","created_at":"2026-07-05T11:15:05Z"},{"alias_kind":"pith_short_8","alias_value":"BC2T72UL","created_at":"2026-07-05T11:15:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BC2T72UL7RMJX7TQ2PJ6D25OYT","target":"record","payload":{"canonical_record":{"source":{"id":"2506.02605","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T08:28:13Z","cross_cats_sorted":[],"title_canon_sha256":"68dd72f8c1708d0e87362bf307601d984cc97605f522852b3d386aa2401527ec","abstract_canon_sha256":"e9849b3ee884d195a933aeaf56dc773298b749795ce9aa506daf98cf827b3851"},"schema_version":"1.0"},"canonical_sha256":"08b53fea8bfc589bfe70d3d3e1ebaec4e9a459ea2247b435d756bb1f56589016","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:05.212149Z","signature_b64":"vCgGxI98BlDA/9QiD4M8y0dfUuZ8XyLgsPSxAij7yA1xUF25VyfDlE8c++9v2cQtuU1bZtE1brv6K0uq/r8fAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"08b53fea8bfc589bfe70d3d3e1ebaec4e9a459ea2247b435d756bb1f56589016","last_reissued_at":"2026-07-05T11:15:05.211611Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:05.211611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.02605","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":"2026-07-05T11:15:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D9wnU9VGHEAXJ6FctbFFEwHwJvboifD3ypjm5vR6i8PQOEAAHRYYGK+sW/rWiSU3nqGx9sQtfnG5Qm7+NIT7CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:17:57.998457Z"},"content_sha256":"d930d3d5cb8335c036c51e15b57e71ea004b54a674b22083da985834f6373ea7","schema_version":"1.0","event_id":"sha256:d930d3d5cb8335c036c51e15b57e71ea004b54a674b22083da985834f6373ea7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BC2T72UL7RMJX7TQ2PJ6D25OYT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"One-Step Diffusion-based Real-World Image Super-Resolution with Visual Perception Distillation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jie Hu, Jie Li, Jingwei Xin, Nannan Wang, Xinbo Gao, Xue Wu, Zhijun Tu","submitted_at":"2025-06-03T08:28:13Z","abstract_excerpt":"Diffusion-based models have been widely used in various visual generation tasks, showing promising results in image super-resolution (SR), while typically being limited by dozens or even hundreds of sampling steps. Although existing methods aim to accelerate the inference speed of multi-step diffusion-based SR methods through knowledge distillation, their generated images exhibit insufficient semantic alignment with real images, resulting in suboptimal perceptual quality reconstruction, specifically reflected in the CLIPIQA score. These methods still have many challenges in perceptual quality "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02605","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/2506.02605/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":"2026-07-05T11:15:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y7Dd+gGFyX/pWiha4c9VvnmLIiISS3PBuxTMwD9hWR8A0cZhzxNlsUzcH5/y7ps70pxu7okf4Tjw+0XEaZFWCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:17:57.998959Z"},"content_sha256":"0834d645b81aaa5c8d3ed88cbe932c2c58f29727eb45b284c9ae8c45a4142c7a","schema_version":"1.0","event_id":"sha256:0834d645b81aaa5c8d3ed88cbe932c2c58f29727eb45b284c9ae8c45a4142c7a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BC2T72UL7RMJX7TQ2PJ6D25OYT/bundle.json","state_url":"https://pith.science/pith/BC2T72UL7RMJX7TQ2PJ6D25OYT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BC2T72UL7RMJX7TQ2PJ6D25OYT/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":"2026-08-07T01:17:58Z","links":{"resolver":"https://pith.science/pith/BC2T72UL7RMJX7TQ2PJ6D25OYT","bundle":"https://pith.science/pith/BC2T72UL7RMJX7TQ2PJ6D25OYT/bundle.json","state":"https://pith.science/pith/BC2T72UL7RMJX7TQ2PJ6D25OYT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BC2T72UL7RMJX7TQ2PJ6D25OYT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BC2T72UL7RMJX7TQ2PJ6D25OYT","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":"e9849b3ee884d195a933aeaf56dc773298b749795ce9aa506daf98cf827b3851","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T08:28:13Z","title_canon_sha256":"68dd72f8c1708d0e87362bf307601d984cc97605f522852b3d386aa2401527ec"},"schema_version":"1.0","source":{"id":"2506.02605","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02605","created_at":"2026-07-05T11:15:05Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02605v1","created_at":"2026-07-05T11:15:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02605","created_at":"2026-07-05T11:15:05Z"},{"alias_kind":"pith_short_12","alias_value":"BC2T72UL7RMJ","created_at":"2026-07-05T11:15:05Z"},{"alias_kind":"pith_short_16","alias_value":"BC2T72UL7RMJX7TQ","created_at":"2026-07-05T11:15:05Z"},{"alias_kind":"pith_short_8","alias_value":"BC2T72UL","created_at":"2026-07-05T11:15:05Z"}],"graph_snapshots":[{"event_id":"sha256:0834d645b81aaa5c8d3ed88cbe932c2c58f29727eb45b284c9ae8c45a4142c7a","target":"graph","created_at":"2026-07-05T11:15:05Z","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/2506.02605/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion-based models have been widely used in various visual generation tasks, showing promising results in image super-resolution (SR), while typically being limited by dozens or even hundreds of sampling steps. Although existing methods aim to accelerate the inference speed of multi-step diffusion-based SR methods through knowledge distillation, their generated images exhibit insufficient semantic alignment with real images, resulting in suboptimal perceptual quality reconstruction, specifically reflected in the CLIPIQA score. These methods still have many challenges in perceptual quality ","authors_text":"Jie Hu, Jie Li, Jingwei Xin, Nannan Wang, Xinbo Gao, Xue Wu, Zhijun Tu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T08:28:13Z","title":"One-Step Diffusion-based Real-World Image Super-Resolution with Visual Perception Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02605","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:d930d3d5cb8335c036c51e15b57e71ea004b54a674b22083da985834f6373ea7","target":"record","created_at":"2026-07-05T11:15:05Z","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":"e9849b3ee884d195a933aeaf56dc773298b749795ce9aa506daf98cf827b3851","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T08:28:13Z","title_canon_sha256":"68dd72f8c1708d0e87362bf307601d984cc97605f522852b3d386aa2401527ec"},"schema_version":"1.0","source":{"id":"2506.02605","kind":"arxiv","version":1}},"canonical_sha256":"08b53fea8bfc589bfe70d3d3e1ebaec4e9a459ea2247b435d756bb1f56589016","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"08b53fea8bfc589bfe70d3d3e1ebaec4e9a459ea2247b435d756bb1f56589016","first_computed_at":"2026-07-05T11:15:05.211611Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:05.211611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vCgGxI98BlDA/9QiD4M8y0dfUuZ8XyLgsPSxAij7yA1xUF25VyfDlE8c++9v2cQtuU1bZtE1brv6K0uq/r8fAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:05.212149Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02605","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d930d3d5cb8335c036c51e15b57e71ea004b54a674b22083da985834f6373ea7","sha256:0834d645b81aaa5c8d3ed88cbe932c2c58f29727eb45b284c9ae8c45a4142c7a"],"state_sha256":"17a111c15302ae3728888a898869834b487e56ff0cbc69f3bb45511c60c2f7e3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H2FMzJFynGqk6mxENhHdf8ZZq3q6OOkGeuwvL0dlHclmPh1K/1XlEKRWkYpWZIrK4FCjK2dX0OtZmpO4gW2xCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T01:17:58.004591Z","bundle_sha256":"077fed36b4c61b2ed8265da94f508b148b17869e8a61959331c48b81cfdd1c0b"}}