{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:5JIZGODYE2R6FRO7ZYSPHHRX5E","short_pith_number":"pith:5JIZGODY","schema_version":"1.0","canonical_sha256":"ea5193387826a3e2c5dfce24f39e37e912c3218db15390d34378345fc7ea498d","source":{"kind":"arxiv","id":"2508.09449","version":2},"attestation_state":"computed","paper":{"title":"RASR: Retrieval-Augmented Super Resolution for Practical Reference-based Image Restoration","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dell Zhang, Gangshan Wu, Jiantao Zhou, Jiaqi Yan, Jie Liu, Jie Tang, Shuning Xu, Xiangyu Chen","submitted_at":"2025-08-13T03:05:20Z","abstract_excerpt":"Reference-based Super Resolution (RefSR) improves upon Single Image Super Resolution (SISR) by leveraging high-quality reference images to enhance texture fidelity and visual realism. However, a critical limitation of existing RefSR approaches is their reliance on manually curated target-reference image pairs, which severely constrains their practicality in real-world scenarios. To overcome this, we introduce Retrieval-Augmented Super Resolution (RASR), a new and practical RefSR paradigm that automatically retrieves semantically relevant high-resolution images from a reference database given o"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2508.09449","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-13T03:05:20Z","cross_cats_sorted":[],"title_canon_sha256":"3db6bd4e4dd9f4fbf75ff2fa36ffffb5db5c007ef93f2aa9faef7203f99275dd","abstract_canon_sha256":"fc788c3772ef1d8016242ba682cddab54a8451d9311f76f956f67df2e498547a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:04:29.602068Z","signature_b64":"kaWKKEzOruh8Ah4Cnk/6BLqU9HybV+Ztci4SeVaA5TjwGPaVzEgUhwEg86FhghWIBr4w9P40nAFHmvQU/Q7OAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea5193387826a3e2c5dfce24f39e37e912c3218db15390d34378345fc7ea498d","last_reissued_at":"2026-05-28T01:04:29.601460Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:04:29.601460Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"RASR: Retrieval-Augmented Super Resolution for Practical Reference-based Image Restoration","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dell Zhang, Gangshan Wu, Jiantao Zhou, Jiaqi Yan, Jie Liu, Jie Tang, Shuning Xu, Xiangyu Chen","submitted_at":"2025-08-13T03:05:20Z","abstract_excerpt":"Reference-based Super Resolution (RefSR) improves upon Single Image Super Resolution (SISR) by leveraging high-quality reference images to enhance texture fidelity and visual realism. However, a critical limitation of existing RefSR approaches is their reliance on manually curated target-reference image pairs, which severely constrains their practicality in real-world scenarios. To overcome this, we introduce Retrieval-Augmented Super Resolution (RASR), a new and practical RefSR paradigm that automatically retrieves semantically relevant high-resolution images from a reference database given o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.09449","kind":"arxiv","version":2},"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/2508.09449/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2508.09449","created_at":"2026-05-28T01:04:29.601536+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.09449v2","created_at":"2026-05-28T01:04:29.601536+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.09449","created_at":"2026-05-28T01:04:29.601536+00:00"},{"alias_kind":"pith_short_12","alias_value":"5JIZGODYE2R6","created_at":"2026-05-28T01:04:29.601536+00:00"},{"alias_kind":"pith_short_16","alias_value":"5JIZGODYE2R6FRO7","created_at":"2026-05-28T01:04:29.601536+00:00"},{"alias_kind":"pith_short_8","alias_value":"5JIZGODY","created_at":"2026-05-28T01:04:29.601536+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5JIZGODYE2R6FRO7ZYSPHHRX5E","json":"https://pith.science/pith/5JIZGODYE2R6FRO7ZYSPHHRX5E.json","graph_json":"https://pith.science/api/pith-number/5JIZGODYE2R6FRO7ZYSPHHRX5E/graph.json","events_json":"https://pith.science/api/pith-number/5JIZGODYE2R6FRO7ZYSPHHRX5E/events.json","paper":"https://pith.science/paper/5JIZGODY"},"agent_actions":{"view_html":"https://pith.science/pith/5JIZGODYE2R6FRO7ZYSPHHRX5E","download_json":"https://pith.science/pith/5JIZGODYE2R6FRO7ZYSPHHRX5E.json","view_paper":"https://pith.science/paper/5JIZGODY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.09449&json=true","fetch_graph":"https://pith.science/api/pith-number/5JIZGODYE2R6FRO7ZYSPHHRX5E/graph.json","fetch_events":"https://pith.science/api/pith-number/5JIZGODYE2R6FRO7ZYSPHHRX5E/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5JIZGODYE2R6FRO7ZYSPHHRX5E/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5JIZGODYE2R6FRO7ZYSPHHRX5E/action/storage_attestation","attest_author":"https://pith.science/pith/5JIZGODYE2R6FRO7ZYSPHHRX5E/action/author_attestation","sign_citation":"https://pith.science/pith/5JIZGODYE2R6FRO7ZYSPHHRX5E/action/citation_signature","submit_replication":"https://pith.science/pith/5JIZGODYE2R6FRO7ZYSPHHRX5E/action/replication_record"}},"created_at":"2026-05-28T01:04:29.601536+00:00","updated_at":"2026-05-28T01:04:29.601536+00:00"}