{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PCLHJCOOT7R6OJW4Q7GOOV4JDL","short_pith_number":"pith:PCLHJCOO","canonical_record":{"source":{"id":"2401.16468","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-29T18:53:33Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"a86379c2d2ee45eacfa35c4b1038e878f38879eb59db42684208401412428648","abstract_canon_sha256":"11f6c3020c3620d80715bfa57643533ba24daa1e0b40e9770458933f3219abe7"},"schema_version":"1.0"},"canonical_sha256":"78967489ce9fe3e726dc87cce757891adec64a05d3c6dde4bcd55b4cd14182dd","source":{"kind":"arxiv","id":"2401.16468","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.16468","created_at":"2026-07-05T09:11:46Z"},{"alias_kind":"arxiv_version","alias_value":"2401.16468v5","created_at":"2026-07-05T09:11:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.16468","created_at":"2026-07-05T09:11:46Z"},{"alias_kind":"pith_short_12","alias_value":"PCLHJCOOT7R6","created_at":"2026-07-05T09:11:46Z"},{"alias_kind":"pith_short_16","alias_value":"PCLHJCOOT7R6OJW4","created_at":"2026-07-05T09:11:46Z"},{"alias_kind":"pith_short_8","alias_value":"PCLHJCOO","created_at":"2026-07-05T09:11:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PCLHJCOOT7R6OJW4Q7GOOV4JDL","target":"record","payload":{"canonical_record":{"source":{"id":"2401.16468","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-29T18:53:33Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"a86379c2d2ee45eacfa35c4b1038e878f38879eb59db42684208401412428648","abstract_canon_sha256":"11f6c3020c3620d80715bfa57643533ba24daa1e0b40e9770458933f3219abe7"},"schema_version":"1.0"},"canonical_sha256":"78967489ce9fe3e726dc87cce757891adec64a05d3c6dde4bcd55b4cd14182dd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:11:46.563502Z","signature_b64":"NhR/stkfknQ1EsCZf4Np/rYhwSWNDur5BEde0HcppWxp2RlbATlaX4sOX5pwXvh66VDXglVjQUa7pJxra6YiBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"78967489ce9fe3e726dc87cce757891adec64a05d3c6dde4bcd55b4cd14182dd","last_reissued_at":"2026-07-05T09:11:46.562875Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:11:46.562875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.16468","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:11:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bxk0oe51bhveK8hmzys5Lr3v7HKCm6dWmZLT/cIQN15B0Zg5h0JofXwGQjwx69he2MBAcvJ0ovfljOMr+Kr6Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:30:23.261577Z"},"content_sha256":"524c98dd9f6de9c482f695957fd02c3a41c966f5d63b99d2d5acbffba046a134","schema_version":"1.0","event_id":"sha256:524c98dd9f6de9c482f695957fd02c3a41c966f5d63b99d2d5acbffba046a134"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PCLHJCOOT7R6OJW4Q7GOOV4JDL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"InstructIR: High-Quality Image Restoration Following Human Instructions","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Gregor Geigle, Marcos V. Conde, Radu Timofte","submitted_at":"2024-01-29T18:53:33Z","abstract_excerpt":"Image restoration is a fundamental problem that involves recovering a high-quality clean image from its degraded observation. All-In-One image restoration models can effectively restore images from various types and levels of degradation using degradation-specific information as prompts to guide the restoration model. In this work, we present the first approach that uses human-written instructions to guide the image restoration model. Given natural language prompts, our model can recover high-quality images from their degraded counterparts, considering multiple degradation types. Our method, I"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.16468","kind":"arxiv","version":5},"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/2401.16468/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":"2026-07-05T09:11:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t1j6yGu3nyqRupR4tBBGX75G7qJzhIuZXC3zEU6pHKJYKkNTOmJ5+qE09ep02amaQH1VpTxEJxa4sCFOi9qvBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:30:23.262096Z"},"content_sha256":"c8647b260ab205b5c9d707f023d999dc94087b746c1c0b0dd0d5557f4e019f3a","schema_version":"1.0","event_id":"sha256:c8647b260ab205b5c9d707f023d999dc94087b746c1c0b0dd0d5557f4e019f3a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PCLHJCOOT7R6OJW4Q7GOOV4JDL/bundle.json","state_url":"https://pith.science/pith/PCLHJCOOT7R6OJW4Q7GOOV4JDL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PCLHJCOOT7R6OJW4Q7GOOV4JDL/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":"2026-08-07T01:30:23Z","links":{"resolver":"https://pith.science/pith/PCLHJCOOT7R6OJW4Q7GOOV4JDL","bundle":"https://pith.science/pith/PCLHJCOOT7R6OJW4Q7GOOV4JDL/bundle.json","state":"https://pith.science/pith/PCLHJCOOT7R6OJW4Q7GOOV4JDL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PCLHJCOOT7R6OJW4Q7GOOV4JDL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PCLHJCOOT7R6OJW4Q7GOOV4JDL","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":"11f6c3020c3620d80715bfa57643533ba24daa1e0b40e9770458933f3219abe7","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-29T18:53:33Z","title_canon_sha256":"a86379c2d2ee45eacfa35c4b1038e878f38879eb59db42684208401412428648"},"schema_version":"1.0","source":{"id":"2401.16468","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.16468","created_at":"2026-07-05T09:11:46Z"},{"alias_kind":"arxiv_version","alias_value":"2401.16468v5","created_at":"2026-07-05T09:11:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.16468","created_at":"2026-07-05T09:11:46Z"},{"alias_kind":"pith_short_12","alias_value":"PCLHJCOOT7R6","created_at":"2026-07-05T09:11:46Z"},{"alias_kind":"pith_short_16","alias_value":"PCLHJCOOT7R6OJW4","created_at":"2026-07-05T09:11:46Z"},{"alias_kind":"pith_short_8","alias_value":"PCLHJCOO","created_at":"2026-07-05T09:11:46Z"}],"graph_snapshots":[{"event_id":"sha256:c8647b260ab205b5c9d707f023d999dc94087b746c1c0b0dd0d5557f4e019f3a","target":"graph","created_at":"2026-07-05T09:11:46Z","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/2401.16468/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image restoration is a fundamental problem that involves recovering a high-quality clean image from its degraded observation. All-In-One image restoration models can effectively restore images from various types and levels of degradation using degradation-specific information as prompts to guide the restoration model. In this work, we present the first approach that uses human-written instructions to guide the image restoration model. Given natural language prompts, our model can recover high-quality images from their degraded counterparts, considering multiple degradation types. Our method, I","authors_text":"Gregor Geigle, Marcos V. Conde, Radu Timofte","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-29T18:53:33Z","title":"InstructIR: High-Quality Image Restoration Following Human Instructions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.16468","kind":"arxiv","version":5},"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":"sha256:524c98dd9f6de9c482f695957fd02c3a41c966f5d63b99d2d5acbffba046a134","target":"record","created_at":"2026-07-05T09:11:46Z","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":"11f6c3020c3620d80715bfa57643533ba24daa1e0b40e9770458933f3219abe7","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-29T18:53:33Z","title_canon_sha256":"a86379c2d2ee45eacfa35c4b1038e878f38879eb59db42684208401412428648"},"schema_version":"1.0","source":{"id":"2401.16468","kind":"arxiv","version":5}},"canonical_sha256":"78967489ce9fe3e726dc87cce757891adec64a05d3c6dde4bcd55b4cd14182dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"78967489ce9fe3e726dc87cce757891adec64a05d3c6dde4bcd55b4cd14182dd","first_computed_at":"2026-07-05T09:11:46.562875Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:11:46.562875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NhR/stkfknQ1EsCZf4Np/rYhwSWNDur5BEde0HcppWxp2RlbATlaX4sOX5pwXvh66VDXglVjQUa7pJxra6YiBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:11:46.563502Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.16468","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:524c98dd9f6de9c482f695957fd02c3a41c966f5d63b99d2d5acbffba046a134","sha256:c8647b260ab205b5c9d707f023d999dc94087b746c1c0b0dd0d5557f4e019f3a"],"state_sha256":"632210489fa75a178de650f7899d7951fcf30cf5c6437f4aa82332790fd42de2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GQCC5TxWE8pU+QpHzBOJKQ4j1FrZOpky+ChJsxotUXi3b9viVr8ZYh1Ea7tXWi0AQkazOWRsI4qpCYM7FVydDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T01:30:23.276639Z","bundle_sha256":"e1657765cbbc305c8c2e400d25546d553e6c3ca37be13e5551d975f072851914"}}