{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:FQOTCVTDXP55XMGEHD3JDTSCXG","short_pith_number":"pith:FQOTCVTD","canonical_record":{"source":{"id":"2507.20291","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T14:11:29Z","cross_cats_sorted":[],"title_canon_sha256":"ecb2e4e59b9ba741ac04fe5c7cfa203de4868117b28f11a20e875b73c97483df","abstract_canon_sha256":"e9ace3325267f10a18c9dcf5c36e308efd5d648d78a4f432280db1f51c7b2ac8"},"schema_version":"1.0"},"canonical_sha256":"2c1d315663bbfbdbb0c438f691ce42b9a30ced81ae939bfa9b9bc3ba2d5099a1","source":{"kind":"arxiv","id":"2507.20291","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.20291","created_at":"2026-07-05T11:44:16Z"},{"alias_kind":"arxiv_version","alias_value":"2507.20291v1","created_at":"2026-07-05T11:44:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.20291","created_at":"2026-07-05T11:44:16Z"},{"alias_kind":"pith_short_12","alias_value":"FQOTCVTDXP55","created_at":"2026-07-05T11:44:16Z"},{"alias_kind":"pith_short_16","alias_value":"FQOTCVTDXP55XMGE","created_at":"2026-07-05T11:44:16Z"},{"alias_kind":"pith_short_8","alias_value":"FQOTCVTD","created_at":"2026-07-05T11:44:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:FQOTCVTDXP55XMGEHD3JDTSCXG","target":"record","payload":{"canonical_record":{"source":{"id":"2507.20291","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T14:11:29Z","cross_cats_sorted":[],"title_canon_sha256":"ecb2e4e59b9ba741ac04fe5c7cfa203de4868117b28f11a20e875b73c97483df","abstract_canon_sha256":"e9ace3325267f10a18c9dcf5c36e308efd5d648d78a4f432280db1f51c7b2ac8"},"schema_version":"1.0"},"canonical_sha256":"2c1d315663bbfbdbb0c438f691ce42b9a30ced81ae939bfa9b9bc3ba2d5099a1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:44:16.582252Z","signature_b64":"uGP62LrLmsLIEw8Is3VlchpEGJXd8o9cbnSkmig0yrpEi91IhnQpQiiYaq6bdGRz9J+ocTsudn1geQ2h3aVxCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c1d315663bbfbdbb0c438f691ce42b9a30ced81ae939bfa9b9bc3ba2d5099a1","last_reissued_at":"2026-07-05T11:44:16.581661Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:44:16.581661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.20291","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":"2026-07-05T11:44:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HY759oEIssoMg/xHc2/oRko0pWiCoyaJECSpPgpBat0HdMFepqDIBCOlgH7s5vMQPVN+s4PDU/imFUYtdpolDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:43:18.884958Z"},"content_sha256":"d63e0e985c6cbfac4c0aa0ee52201fba2dd77cd35c9ba1ed36b1381bfa378bc8","schema_version":"1.0","event_id":"sha256:d63e0e985c6cbfac4c0aa0ee52201fba2dd77cd35c9ba1ed36b1381bfa378bc8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:FQOTCVTDXP55XMGEHD3JDTSCXG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Lei Zhang, Lingchen Sun, Qiaosi Yi, Rongyuan Wu, Shuai Li, Yuhui Wu","submitted_at":"2025-07-27T14:11:29Z","abstract_excerpt":"Impressive results on real-world image super-resolution (Real-ISR) have been achieved by employing pre-trained stable diffusion (SD) models. However, one critical issue of such methods lies in their poor reconstruction of image fine structures, such as small characters and textures, due to the aggressive resolution reduction of the VAE (eg., 8$\\times$ downsampling) in the SD model. One solution is to employ a VAE with a lower downsampling rate for diffusion; however, adapting its latent features with the pre-trained UNet while mitigating the increased computational cost poses new challenges. T"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.20291","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/2507.20291/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":"2026-07-05T11:44:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g8EPPTEbKeBbRWUmeq1Yaioqh6yrelwd1uinQ52DbONWic9nVmODExbHWtfhQBahMGMTjy1fbRp/J+WAbVa2BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:43:18.885462Z"},"content_sha256":"98c78a79598fc69fc99db2ab72a92077471f6ab7e676cd6173d51fb213a97ccf","schema_version":"1.0","event_id":"sha256:98c78a79598fc69fc99db2ab72a92077471f6ab7e676cd6173d51fb213a97ccf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FQOTCVTDXP55XMGEHD3JDTSCXG/bundle.json","state_url":"https://pith.science/pith/FQOTCVTDXP55XMGEHD3JDTSCXG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FQOTCVTDXP55XMGEHD3JDTSCXG/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":"2026-08-07T01:43:18Z","links":{"resolver":"https://pith.science/pith/FQOTCVTDXP55XMGEHD3JDTSCXG","bundle":"https://pith.science/pith/FQOTCVTDXP55XMGEHD3JDTSCXG/bundle.json","state":"https://pith.science/pith/FQOTCVTDXP55XMGEHD3JDTSCXG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FQOTCVTDXP55XMGEHD3JDTSCXG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FQOTCVTDXP55XMGEHD3JDTSCXG","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":"e9ace3325267f10a18c9dcf5c36e308efd5d648d78a4f432280db1f51c7b2ac8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T14:11:29Z","title_canon_sha256":"ecb2e4e59b9ba741ac04fe5c7cfa203de4868117b28f11a20e875b73c97483df"},"schema_version":"1.0","source":{"id":"2507.20291","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.20291","created_at":"2026-07-05T11:44:16Z"},{"alias_kind":"arxiv_version","alias_value":"2507.20291v1","created_at":"2026-07-05T11:44:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.20291","created_at":"2026-07-05T11:44:16Z"},{"alias_kind":"pith_short_12","alias_value":"FQOTCVTDXP55","created_at":"2026-07-05T11:44:16Z"},{"alias_kind":"pith_short_16","alias_value":"FQOTCVTDXP55XMGE","created_at":"2026-07-05T11:44:16Z"},{"alias_kind":"pith_short_8","alias_value":"FQOTCVTD","created_at":"2026-07-05T11:44:16Z"}],"graph_snapshots":[{"event_id":"sha256:98c78a79598fc69fc99db2ab72a92077471f6ab7e676cd6173d51fb213a97ccf","target":"graph","created_at":"2026-07-05T11:44:16Z","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/2507.20291/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Impressive results on real-world image super-resolution (Real-ISR) have been achieved by employing pre-trained stable diffusion (SD) models. However, one critical issue of such methods lies in their poor reconstruction of image fine structures, such as small characters and textures, due to the aggressive resolution reduction of the VAE (eg., 8$\\times$ downsampling) in the SD model. One solution is to employ a VAE with a lower downsampling rate for diffusion; however, adapting its latent features with the pre-trained UNet while mitigating the increased computational cost poses new challenges. T","authors_text":"Lei Zhang, Lingchen Sun, Qiaosi Yi, Rongyuan Wu, Shuai Li, Yuhui Wu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T14:11:29Z","title":"Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.20291","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:d63e0e985c6cbfac4c0aa0ee52201fba2dd77cd35c9ba1ed36b1381bfa378bc8","target":"record","created_at":"2026-07-05T11:44:16Z","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":"e9ace3325267f10a18c9dcf5c36e308efd5d648d78a4f432280db1f51c7b2ac8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T14:11:29Z","title_canon_sha256":"ecb2e4e59b9ba741ac04fe5c7cfa203de4868117b28f11a20e875b73c97483df"},"schema_version":"1.0","source":{"id":"2507.20291","kind":"arxiv","version":1}},"canonical_sha256":"2c1d315663bbfbdbb0c438f691ce42b9a30ced81ae939bfa9b9bc3ba2d5099a1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c1d315663bbfbdbb0c438f691ce42b9a30ced81ae939bfa9b9bc3ba2d5099a1","first_computed_at":"2026-07-05T11:44:16.581661Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:16.581661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uGP62LrLmsLIEw8Is3VlchpEGJXd8o9cbnSkmig0yrpEi91IhnQpQiiYaq6bdGRz9J+ocTsudn1geQ2h3aVxCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:16.582252Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.20291","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d63e0e985c6cbfac4c0aa0ee52201fba2dd77cd35c9ba1ed36b1381bfa378bc8","sha256:98c78a79598fc69fc99db2ab72a92077471f6ab7e676cd6173d51fb213a97ccf"],"state_sha256":"acfe5554529e5c0c5cd5fd64d29d9c592180356c46dfaeba9b319b677dbae97d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MvvmlfWleWapTqiq8xMQ6xC+G5AAQ2mrN9RHVsKWSUcg4qJoJ4VFAaK+nl9U+MTpAhPenJwah51IfcE+AVZ4Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T01:43:18.888886Z","bundle_sha256":"540cc841740d164c1d0aea7c74252caee3017ffe71da91717c7f1fe3a7084a48"}}