{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:NLZD3JWRRFOCMD2CJ4CQJAYMEH","short_pith_number":"pith:NLZD3JWR","schema_version":"1.0","canonical_sha256":"6af23da6d1895c260f424f0504830c21f777d2c01d353b620d9787aa54e00475","source":{"kind":"arxiv","id":"2506.01394","version":1},"attestation_state":"computed","paper":{"title":"NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Hui Zeng, Jie Liang, Lei Zhang, Lingchen Sun, Qiaosi Yi, Radu Timofte, Rongyuan Wu, Shuaizheng Liu, Xindong Zhang, Zhengqiang Zhang","submitted_at":"2025-06-02T07:43:35Z","abstract_excerpt":"In this paper, we present a comprehensive overview of the NTIRE 2025 challenge on the 2nd Restore Any Image Model (RAIM) in the Wild. This challenge established a new benchmark for real-world image restoration, featuring diverse scenarios with and without reference ground truth. Participants were tasked with restoring real-captured images suffering from complex and unknown degradations, where both perceptual quality and fidelity were critically evaluated. The challenge comprised two tracks: (1) the low-light joint denoising and demosaicing (JDD) task, and (2) the image detail enhancement/gener"},"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":"2506.01394","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2025-06-02T07:43:35Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"7c15e67e11d678fcfd913c4fa50208db6454506473ca1c856aebf5d2eaf5c168","abstract_canon_sha256":"0a8e263522fe396026f83d834de550824612fc64e184a80c58b098ccc225fbf4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:14:12.582065Z","signature_b64":"jd0EA8rw2gBgkHvZwzoseMVyDzVwWwt+HhS5/uez48U2NXIbV2L8kBbeMdEUym8ZHJRRY2iMzY8ZqWfabR3qDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6af23da6d1895c260f424f0504830c21f777d2c01d353b620d9787aa54e00475","last_reissued_at":"2026-07-05T11:14:12.581614Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:14:12.581614Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Hui Zeng, Jie Liang, Lei Zhang, Lingchen Sun, Qiaosi Yi, Radu Timofte, Rongyuan Wu, Shuaizheng Liu, Xindong Zhang, Zhengqiang Zhang","submitted_at":"2025-06-02T07:43:35Z","abstract_excerpt":"In this paper, we present a comprehensive overview of the NTIRE 2025 challenge on the 2nd Restore Any Image Model (RAIM) in the Wild. This challenge established a new benchmark for real-world image restoration, featuring diverse scenarios with and without reference ground truth. Participants were tasked with restoring real-captured images suffering from complex and unknown degradations, where both perceptual quality and fidelity were critically evaluated. The challenge comprised two tracks: (1) the low-light joint denoising and demosaicing (JDD) task, and (2) the image detail enhancement/gener"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.01394","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/2506.01394/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":"2506.01394","created_at":"2026-07-05T11:14:12.581670+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.01394v1","created_at":"2026-07-05T11:14:12.581670+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.01394","created_at":"2026-07-05T11:14:12.581670+00:00"},{"alias_kind":"pith_short_12","alias_value":"NLZD3JWRRFOC","created_at":"2026-07-05T11:14:12.581670+00:00"},{"alias_kind":"pith_short_16","alias_value":"NLZD3JWRRFOCMD2C","created_at":"2026-07-05T11:14:12.581670+00:00"},{"alias_kind":"pith_short_8","alias_value":"NLZD3JWR","created_at":"2026-07-05T11:14:12.581670+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/NLZD3JWRRFOCMD2CJ4CQJAYMEH","json":"https://pith.science/pith/NLZD3JWRRFOCMD2CJ4CQJAYMEH.json","graph_json":"https://pith.science/api/pith-number/NLZD3JWRRFOCMD2CJ4CQJAYMEH/graph.json","events_json":"https://pith.science/api/pith-number/NLZD3JWRRFOCMD2CJ4CQJAYMEH/events.json","paper":"https://pith.science/paper/NLZD3JWR"},"agent_actions":{"view_html":"https://pith.science/pith/NLZD3JWRRFOCMD2CJ4CQJAYMEH","download_json":"https://pith.science/pith/NLZD3JWRRFOCMD2CJ4CQJAYMEH.json","view_paper":"https://pith.science/paper/NLZD3JWR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.01394&json=true","fetch_graph":"https://pith.science/api/pith-number/NLZD3JWRRFOCMD2CJ4CQJAYMEH/graph.json","fetch_events":"https://pith.science/api/pith-number/NLZD3JWRRFOCMD2CJ4CQJAYMEH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NLZD3JWRRFOCMD2CJ4CQJAYMEH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NLZD3JWRRFOCMD2CJ4CQJAYMEH/action/storage_attestation","attest_author":"https://pith.science/pith/NLZD3JWRRFOCMD2CJ4CQJAYMEH/action/author_attestation","sign_citation":"https://pith.science/pith/NLZD3JWRRFOCMD2CJ4CQJAYMEH/action/citation_signature","submit_replication":"https://pith.science/pith/NLZD3JWRRFOCMD2CJ4CQJAYMEH/action/replication_record"}},"created_at":"2026-07-05T11:14:12.581670+00:00","updated_at":"2026-07-05T11:14:12.581670+00:00"}