{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:U23AKG2FDHT2DJCUIFLQLARKHP","short_pith_number":"pith:U23AKG2F","canonical_record":{"source":{"id":"2508.03373","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-05T12:26:28Z","cross_cats_sorted":[],"title_canon_sha256":"516d552d1461de64c98d2646ea502e80ff273078477ee2f0826804af3db66128","abstract_canon_sha256":"dbcc2915a0910263d1a9bcba5c1e0304c8c27d75c3a19370b852efc9f7324ea6"},"schema_version":"1.0"},"canonical_sha256":"a6b6051b4519e7a1a454415705822a3bcf809702440a42f86ad0a73db6f05e6e","source":{"kind":"arxiv","id":"2508.03373","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.03373","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"arxiv_version","alias_value":"2508.03373v1","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.03373","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"pith_short_12","alias_value":"U23AKG2FDHT2","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"pith_short_16","alias_value":"U23AKG2FDHT2DJCU","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"pith_short_8","alias_value":"U23AKG2F","created_at":"2026-07-05T11:48:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:U23AKG2FDHT2DJCUIFLQLARKHP","target":"record","payload":{"canonical_record":{"source":{"id":"2508.03373","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-05T12:26:28Z","cross_cats_sorted":[],"title_canon_sha256":"516d552d1461de64c98d2646ea502e80ff273078477ee2f0826804af3db66128","abstract_canon_sha256":"dbcc2915a0910263d1a9bcba5c1e0304c8c27d75c3a19370b852efc9f7324ea6"},"schema_version":"1.0"},"canonical_sha256":"a6b6051b4519e7a1a454415705822a3bcf809702440a42f86ad0a73db6f05e6e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:48:55.332642Z","signature_b64":"zF2RjuVX6iF0Xv26kVe/lrKlT4sYblfZrr8noefm9VSK415hOQHbR4DsebaEmVoTHnt5eLvYo66c+etnABh0Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a6b6051b4519e7a1a454415705822a3bcf809702440a42f86ad0a73db6f05e6e","last_reissued_at":"2026-07-05T11:48:55.332085Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:48:55.332085Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.03373","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":"2026-07-05T11:48:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OvVN3KDca86IZG1fTPh8uiGiBfgkYsa04rxrAZ+RuDMsgfAXL5etGHC4WDinfdYNlPcG7PKQgZG170lGiDM4DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T16:12:16.732654Z"},"content_sha256":"05be2d299ffc17da04d8edbbb7a4d6cc77a95cd9d70510b887ee2cb78dab7865","schema_version":"1.0","event_id":"sha256:05be2d299ffc17da04d8edbbb7a4d6cc77a95cd9d70510b887ee2cb78dab7865"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:U23AKG2FDHT2DJCUIFLQLARKHP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Diffusion Once and Done: Degradation-Aware LoRA for Efficient All-in-One Image Restoration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongxiao Zhang, Liangtai Zhou, Ni Tang, Xiaotong Luo, Yanyun Qu, Zihan Cheng","submitted_at":"2025-08-05T12:26:28Z","abstract_excerpt":"Diffusion models have revealed powerful potential in all-in-one image restoration (AiOIR), which is talented in generating abundant texture details. The existing AiOIR methods either retrain a diffusion model or fine-tune the pretrained diffusion model with extra conditional guidance. However, they often suffer from high inference costs and limited adaptability to diverse degradation types. In this paper, we propose an efficient AiOIR method, Diffusion Once and Done (DOD), which aims to achieve superior restoration performance with only one-step sampling of Stable Diffusion (SD) models. Specif"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.03373","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/2508.03373/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":"2026-07-05T11:48:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oKo37gjXgPxe++EgJ4eezakaVBynOank1nsWShXBbBdc3yN8e0aCLStDhfO7++FFwOHpyEw9ymeWH+w92SHeAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T16:12:16.733630Z"},"content_sha256":"cbc8b6700803d68ea72f91f4a99e72e3e96986d592996d2939c2b3ac349b2e97","schema_version":"1.0","event_id":"sha256:cbc8b6700803d68ea72f91f4a99e72e3e96986d592996d2939c2b3ac349b2e97"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U23AKG2FDHT2DJCUIFLQLARKHP/bundle.json","state_url":"https://pith.science/pith/U23AKG2FDHT2DJCUIFLQLARKHP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U23AKG2FDHT2DJCUIFLQLARKHP/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":"2026-08-07T16:12:16Z","links":{"resolver":"https://pith.science/pith/U23AKG2FDHT2DJCUIFLQLARKHP","bundle":"https://pith.science/pith/U23AKG2FDHT2DJCUIFLQLARKHP/bundle.json","state":"https://pith.science/pith/U23AKG2FDHT2DJCUIFLQLARKHP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U23AKG2FDHT2DJCUIFLQLARKHP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:U23AKG2FDHT2DJCUIFLQLARKHP","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":"dbcc2915a0910263d1a9bcba5c1e0304c8c27d75c3a19370b852efc9f7324ea6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-05T12:26:28Z","title_canon_sha256":"516d552d1461de64c98d2646ea502e80ff273078477ee2f0826804af3db66128"},"schema_version":"1.0","source":{"id":"2508.03373","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.03373","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"arxiv_version","alias_value":"2508.03373v1","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.03373","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"pith_short_12","alias_value":"U23AKG2FDHT2","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"pith_short_16","alias_value":"U23AKG2FDHT2DJCU","created_at":"2026-07-05T11:48:55Z"},{"alias_kind":"pith_short_8","alias_value":"U23AKG2F","created_at":"2026-07-05T11:48:55Z"}],"graph_snapshots":[{"event_id":"sha256:cbc8b6700803d68ea72f91f4a99e72e3e96986d592996d2939c2b3ac349b2e97","target":"graph","created_at":"2026-07-05T11:48:55Z","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/2508.03373/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models have revealed powerful potential in all-in-one image restoration (AiOIR), which is talented in generating abundant texture details. The existing AiOIR methods either retrain a diffusion model or fine-tune the pretrained diffusion model with extra conditional guidance. However, they often suffer from high inference costs and limited adaptability to diverse degradation types. In this paper, we propose an efficient AiOIR method, Diffusion Once and Done (DOD), which aims to achieve superior restoration performance with only one-step sampling of Stable Diffusion (SD) models. Specif","authors_text":"Dongxiao Zhang, Liangtai Zhou, Ni Tang, Xiaotong Luo, Yanyun Qu, Zihan Cheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-05T12:26:28Z","title":"Diffusion Once and Done: Degradation-Aware LoRA for Efficient All-in-One Image Restoration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.03373","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":"sha256:05be2d299ffc17da04d8edbbb7a4d6cc77a95cd9d70510b887ee2cb78dab7865","target":"record","created_at":"2026-07-05T11:48:55Z","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":"dbcc2915a0910263d1a9bcba5c1e0304c8c27d75c3a19370b852efc9f7324ea6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-05T12:26:28Z","title_canon_sha256":"516d552d1461de64c98d2646ea502e80ff273078477ee2f0826804af3db66128"},"schema_version":"1.0","source":{"id":"2508.03373","kind":"arxiv","version":1}},"canonical_sha256":"a6b6051b4519e7a1a454415705822a3bcf809702440a42f86ad0a73db6f05e6e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a6b6051b4519e7a1a454415705822a3bcf809702440a42f86ad0a73db6f05e6e","first_computed_at":"2026-07-05T11:48:55.332085Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:48:55.332085Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zF2RjuVX6iF0Xv26kVe/lrKlT4sYblfZrr8noefm9VSK415hOQHbR4DsebaEmVoTHnt5eLvYo66c+etnABh0Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:48:55.332642Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.03373","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05be2d299ffc17da04d8edbbb7a4d6cc77a95cd9d70510b887ee2cb78dab7865","sha256:cbc8b6700803d68ea72f91f4a99e72e3e96986d592996d2939c2b3ac349b2e97"],"state_sha256":"47582ca99ce826a46b8f3b0463baeaf460741e857496adf9ea92b64a17979858"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9QBj0UFLy8yengdqs2NaBIB/p9gnt1JUTlK787WsVI8GoUsQP1ud2moCqH8NARckQWB3r82V8mxeIsjdHlARDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T16:12:16.739365Z","bundle_sha256":"944f85f7972be36973a6bcd56d4aad95fed9e9549b230c386e9ead3e61ddf866"}}