{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:OFUO5GV7B2G77NMWTJJSUK2C23","short_pith_number":"pith:OFUO5GV7","canonical_record":{"source":{"id":"2108.02938","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-06T04:43:13Z","cross_cats_sorted":[],"title_canon_sha256":"19cb277b473d87501d5899164e5904a56d986dafcefbba75ecf409902ecd53e3","abstract_canon_sha256":"448536a376e947b029e2f8217e9ab59eb1fe2e0dafa7a908ff0b4daab154b9ed"},"schema_version":"1.0"},"canonical_sha256":"7168ee9abf0e8dffb5969a532a2b42d6d661c89a2c8b08bb2ff8d055ef2141b3","source":{"kind":"arxiv","id":"2108.02938","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.02938","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"arxiv_version","alias_value":"2108.02938v2","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.02938","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"pith_short_12","alias_value":"OFUO5GV7B2G7","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"pith_short_16","alias_value":"OFUO5GV7B2G77NMW","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"pith_short_8","alias_value":"OFUO5GV7","created_at":"2026-07-05T03:14:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:OFUO5GV7B2G77NMWTJJSUK2C23","target":"record","payload":{"canonical_record":{"source":{"id":"2108.02938","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-06T04:43:13Z","cross_cats_sorted":[],"title_canon_sha256":"19cb277b473d87501d5899164e5904a56d986dafcefbba75ecf409902ecd53e3","abstract_canon_sha256":"448536a376e947b029e2f8217e9ab59eb1fe2e0dafa7a908ff0b4daab154b9ed"},"schema_version":"1.0"},"canonical_sha256":"7168ee9abf0e8dffb5969a532a2b42d6d661c89a2c8b08bb2ff8d055ef2141b3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:14:36.088836Z","signature_b64":"TBZy+PG7IWYUvXjrQmkJ+0j6S91fe0VoX/bm3W77G76R7upSUp9BmxWoB/oi+dkuf1AqwFwzJZOABk9dmMwSBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7168ee9abf0e8dffb5969a532a2b42d6d661c89a2c8b08bb2ff8d055ef2141b3","last_reissued_at":"2026-07-05T03:14:36.088395Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:14:36.088395Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2108.02938","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:14:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K3D4ut81p68/W6iCOJv/kfiyT+YdIuPt1pultQffYGVgEOfLEP5xwWcGTH+skPPufGvObLQ1ChvlzSQrGNV0Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:13:45.926166Z"},"content_sha256":"c94085b041b4cfc1d14b6f17fa6bbe453aa91cd4724a11a63845bd7ee675f526","schema_version":"1.0","event_id":"sha256:c94085b041b4cfc1d14b6f17fa6bbe453aa91cd4724a11a63845bd7ee675f526"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:OFUO5GV7B2G77NMWTJJSUK2C23","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jooyoung Choi, Sungroh Yoon, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon","submitted_at":"2021-08-06T04:43:13Z","abstract_excerpt":"Denoising diffusion probabilistic models (DDPM) have shown remarkable performance in unconditional image generation. However, due to the stochasticity of the generative process in DDPM, it is challenging to generate images with the desired semantics. In this work, we propose Iterative Latent Variable Refinement (ILVR), a method to guide the generative process in DDPM to generate high-quality images based on a given reference image. Here, the refinement of the generative process in DDPM enables a single DDPM to sample images from various sets directed by the reference image. The proposed ILVR m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.02938","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/2108.02938/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":"2026-07-05T03:14:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cZewD/QLmEEPTHW+ld524tQE4351n2Dlk7WhgFaDxYDs5g4EK883kcG87r9DZR7gOb4OnegbkIy8l/3Q/nnpDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:13:45.926637Z"},"content_sha256":"4783d8b704d2e109e4e5c9f2b81847f5e7e31e951b45811a79997fce37dbdf0e","schema_version":"1.0","event_id":"sha256:4783d8b704d2e109e4e5c9f2b81847f5e7e31e951b45811a79997fce37dbdf0e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OFUO5GV7B2G77NMWTJJSUK2C23/bundle.json","state_url":"https://pith.science/pith/OFUO5GV7B2G77NMWTJJSUK2C23/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OFUO5GV7B2G77NMWTJJSUK2C23/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":"2026-08-06T17:13:45Z","links":{"resolver":"https://pith.science/pith/OFUO5GV7B2G77NMWTJJSUK2C23","bundle":"https://pith.science/pith/OFUO5GV7B2G77NMWTJJSUK2C23/bundle.json","state":"https://pith.science/pith/OFUO5GV7B2G77NMWTJJSUK2C23/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OFUO5GV7B2G77NMWTJJSUK2C23/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:OFUO5GV7B2G77NMWTJJSUK2C23","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":"448536a376e947b029e2f8217e9ab59eb1fe2e0dafa7a908ff0b4daab154b9ed","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-06T04:43:13Z","title_canon_sha256":"19cb277b473d87501d5899164e5904a56d986dafcefbba75ecf409902ecd53e3"},"schema_version":"1.0","source":{"id":"2108.02938","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.02938","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"arxiv_version","alias_value":"2108.02938v2","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.02938","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"pith_short_12","alias_value":"OFUO5GV7B2G7","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"pith_short_16","alias_value":"OFUO5GV7B2G77NMW","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"pith_short_8","alias_value":"OFUO5GV7","created_at":"2026-07-05T03:14:36Z"}],"graph_snapshots":[{"event_id":"sha256:4783d8b704d2e109e4e5c9f2b81847f5e7e31e951b45811a79997fce37dbdf0e","target":"graph","created_at":"2026-07-05T03:14:36Z","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/2108.02938/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Denoising diffusion probabilistic models (DDPM) have shown remarkable performance in unconditional image generation. However, due to the stochasticity of the generative process in DDPM, it is challenging to generate images with the desired semantics. In this work, we propose Iterative Latent Variable Refinement (ILVR), a method to guide the generative process in DDPM to generate high-quality images based on a given reference image. Here, the refinement of the generative process in DDPM enables a single DDPM to sample images from various sets directed by the reference image. The proposed ILVR m","authors_text":"Jooyoung Choi, Sungroh Yoon, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-06T04:43:13Z","title":"ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.02938","kind":"arxiv","version":2},"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:c94085b041b4cfc1d14b6f17fa6bbe453aa91cd4724a11a63845bd7ee675f526","target":"record","created_at":"2026-07-05T03:14:36Z","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":"448536a376e947b029e2f8217e9ab59eb1fe2e0dafa7a908ff0b4daab154b9ed","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-06T04:43:13Z","title_canon_sha256":"19cb277b473d87501d5899164e5904a56d986dafcefbba75ecf409902ecd53e3"},"schema_version":"1.0","source":{"id":"2108.02938","kind":"arxiv","version":2}},"canonical_sha256":"7168ee9abf0e8dffb5969a532a2b42d6d661c89a2c8b08bb2ff8d055ef2141b3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7168ee9abf0e8dffb5969a532a2b42d6d661c89a2c8b08bb2ff8d055ef2141b3","first_computed_at":"2026-07-05T03:14:36.088395Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:14:36.088395Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TBZy+PG7IWYUvXjrQmkJ+0j6S91fe0VoX/bm3W77G76R7upSUp9BmxWoB/oi+dkuf1AqwFwzJZOABk9dmMwSBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:14:36.088836Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.02938","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c94085b041b4cfc1d14b6f17fa6bbe453aa91cd4724a11a63845bd7ee675f526","sha256:4783d8b704d2e109e4e5c9f2b81847f5e7e31e951b45811a79997fce37dbdf0e"],"state_sha256":"c1e474f0c82296f1285790f4de87bbe6d996a79f075ca63d0d16c0635ff38052"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HQmADWkp7tiBjI7uDar3G8VY11ngawPTCkIp7zCOkl1A4VAsgvcizuJ1wdXTbV6F6i3JvmRrmVKwIHKIBTlECg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T17:13:45.930870Z","bundle_sha256":"719640743f71d93295cfaba270310c65a7d93d119b6bb1fcbfebb2431f1a93dd"}}