{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GIN4XXABKFA5TF6UY4IIEKRXHD","short_pith_number":"pith:GIN4XXAB","canonical_record":{"source":{"id":"2506.09416","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-11T06:01:39Z","cross_cats_sorted":[],"title_canon_sha256":"b7e4323818e73b0dd1ca1a25163089e2439a4a4f7ffe28fd35a0b6ec780ea92f","abstract_canon_sha256":"f42a16df0f28082dcd9f50cd89b0a7a9aea85ab9d42e2a1f836d2245e7a96127"},"schema_version":"1.0"},"canonical_sha256":"321bcbdc015141d997d4c710822a3738d91625a459f6862c87b4b6ca1ddd3e11","source":{"kind":"arxiv","id":"2506.09416","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.09416","created_at":"2026-07-05T11:19:36Z"},{"alias_kind":"arxiv_version","alias_value":"2506.09416v1","created_at":"2026-07-05T11:19:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.09416","created_at":"2026-07-05T11:19:36Z"},{"alias_kind":"pith_short_12","alias_value":"GIN4XXABKFA5","created_at":"2026-07-05T11:19:36Z"},{"alias_kind":"pith_short_16","alias_value":"GIN4XXABKFA5TF6U","created_at":"2026-07-05T11:19:36Z"},{"alias_kind":"pith_short_8","alias_value":"GIN4XXAB","created_at":"2026-07-05T11:19:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GIN4XXABKFA5TF6UY4IIEKRXHD","target":"record","payload":{"canonical_record":{"source":{"id":"2506.09416","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-11T06:01:39Z","cross_cats_sorted":[],"title_canon_sha256":"b7e4323818e73b0dd1ca1a25163089e2439a4a4f7ffe28fd35a0b6ec780ea92f","abstract_canon_sha256":"f42a16df0f28082dcd9f50cd89b0a7a9aea85ab9d42e2a1f836d2245e7a96127"},"schema_version":"1.0"},"canonical_sha256":"321bcbdc015141d997d4c710822a3738d91625a459f6862c87b4b6ca1ddd3e11","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:36.797642Z","signature_b64":"9atI4/eBUWd5EkkEDq2X7xL53/DwfnEHgzQjPoZtmVkUkf3mPG6J8oFfavm86kFFiJur1NXsTxNajOA3ot4aCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"321bcbdc015141d997d4c710822a3738d91625a459f6862c87b4b6ca1ddd3e11","last_reissued_at":"2026-07-05T11:19:36.797116Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:36.797116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.09416","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":"2026-07-05T11:19:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"04c8w2LJYf3law4ryqG+pWb4fdwcTLgTwWQCGBl9ukmuBdDiLTyWsWNnRYDTwBLx1sy5YVHYtqUx50J1MWP0Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T17:46:16.087611Z"},"content_sha256":"612f23b55028aa0a5d2e69dee34a8e5d8965d7d209018327244e2134d88bacd4","schema_version":"1.0","event_id":"sha256:612f23b55028aa0a5d2e69dee34a8e5d8965d7d209018327244e2134d88bacd4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GIN4XXABKFA5TF6UY4IIEKRXHD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Noise Conditional Variational Score Distillation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenglin Li, Han Li, Hongkai Xiong, Junni Zou, Nuowen Kan, Wenrui Dai, Xinyu Peng, Yaoming Wang, Ziyang Zheng","submitted_at":"2025-06-11T06:01:39Z","abstract_excerpt":"We propose Noise Conditional Variational Score Distillation (NCVSD), a novel method for distilling pretrained diffusion models into generative denoisers. We achieve this by revealing that the unconditional score function implicitly characterizes the score function of denoising posterior distributions. By integrating this insight into the Variational Score Distillation (VSD) framework, we enable scalable learning of generative denoisers capable of approximating samples from the denoising posterior distribution across a wide range of noise levels. The proposed generative denoisers exhibit desira"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.09416","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/2506.09416/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":"2026-07-05T11:19:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RzaARkGP/I1+grp+0JFi0MAuw2APCXKl94nabK0E8dccIpnU1NU/EFqmUK0ihXKbvkrJTXtGvDROVO4G4ImLDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T17:46:16.088110Z"},"content_sha256":"436cda9a80480de858e1dc5e60d73fee35bc58fc1a0091ece6eaec70bdfacf38","schema_version":"1.0","event_id":"sha256:436cda9a80480de858e1dc5e60d73fee35bc58fc1a0091ece6eaec70bdfacf38"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GIN4XXABKFA5TF6UY4IIEKRXHD/bundle.json","state_url":"https://pith.science/pith/GIN4XXABKFA5TF6UY4IIEKRXHD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GIN4XXABKFA5TF6UY4IIEKRXHD/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":"2026-08-10T17:46:16Z","links":{"resolver":"https://pith.science/pith/GIN4XXABKFA5TF6UY4IIEKRXHD","bundle":"https://pith.science/pith/GIN4XXABKFA5TF6UY4IIEKRXHD/bundle.json","state":"https://pith.science/pith/GIN4XXABKFA5TF6UY4IIEKRXHD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GIN4XXABKFA5TF6UY4IIEKRXHD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GIN4XXABKFA5TF6UY4IIEKRXHD","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":"f42a16df0f28082dcd9f50cd89b0a7a9aea85ab9d42e2a1f836d2245e7a96127","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-11T06:01:39Z","title_canon_sha256":"b7e4323818e73b0dd1ca1a25163089e2439a4a4f7ffe28fd35a0b6ec780ea92f"},"schema_version":"1.0","source":{"id":"2506.09416","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.09416","created_at":"2026-07-05T11:19:36Z"},{"alias_kind":"arxiv_version","alias_value":"2506.09416v1","created_at":"2026-07-05T11:19:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.09416","created_at":"2026-07-05T11:19:36Z"},{"alias_kind":"pith_short_12","alias_value":"GIN4XXABKFA5","created_at":"2026-07-05T11:19:36Z"},{"alias_kind":"pith_short_16","alias_value":"GIN4XXABKFA5TF6U","created_at":"2026-07-05T11:19:36Z"},{"alias_kind":"pith_short_8","alias_value":"GIN4XXAB","created_at":"2026-07-05T11:19:36Z"}],"graph_snapshots":[{"event_id":"sha256:436cda9a80480de858e1dc5e60d73fee35bc58fc1a0091ece6eaec70bdfacf38","target":"graph","created_at":"2026-07-05T11:19:36Z","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/2506.09416/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose Noise Conditional Variational Score Distillation (NCVSD), a novel method for distilling pretrained diffusion models into generative denoisers. We achieve this by revealing that the unconditional score function implicitly characterizes the score function of denoising posterior distributions. By integrating this insight into the Variational Score Distillation (VSD) framework, we enable scalable learning of generative denoisers capable of approximating samples from the denoising posterior distribution across a wide range of noise levels. The proposed generative denoisers exhibit desira","authors_text":"Chenglin Li, Han Li, Hongkai Xiong, Junni Zou, Nuowen Kan, Wenrui Dai, Xinyu Peng, Yaoming Wang, Ziyang Zheng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-11T06:01:39Z","title":"Noise Conditional Variational Score Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.09416","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":"sha256:612f23b55028aa0a5d2e69dee34a8e5d8965d7d209018327244e2134d88bacd4","target":"record","created_at":"2026-07-05T11:19:36Z","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":"f42a16df0f28082dcd9f50cd89b0a7a9aea85ab9d42e2a1f836d2245e7a96127","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-11T06:01:39Z","title_canon_sha256":"b7e4323818e73b0dd1ca1a25163089e2439a4a4f7ffe28fd35a0b6ec780ea92f"},"schema_version":"1.0","source":{"id":"2506.09416","kind":"arxiv","version":1}},"canonical_sha256":"321bcbdc015141d997d4c710822a3738d91625a459f6862c87b4b6ca1ddd3e11","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"321bcbdc015141d997d4c710822a3738d91625a459f6862c87b4b6ca1ddd3e11","first_computed_at":"2026-07-05T11:19:36.797116Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:36.797116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9atI4/eBUWd5EkkEDq2X7xL53/DwfnEHgzQjPoZtmVkUkf3mPG6J8oFfavm86kFFiJur1NXsTxNajOA3ot4aCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:36.797642Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.09416","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:612f23b55028aa0a5d2e69dee34a8e5d8965d7d209018327244e2134d88bacd4","sha256:436cda9a80480de858e1dc5e60d73fee35bc58fc1a0091ece6eaec70bdfacf38"],"state_sha256":"d50e860d8b5b0051a610e33bdf40daacedf73b868bb69730c401eace0b6bff6b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dD3JJOgdQJMntTmTroc+vpLR8kT7sFPjjEymLlZ5FAAF5zjxsGTse0og8LopDWilLmOBZVR7tPDf+DQOe0JmDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T17:46:16.093548Z","bundle_sha256":"3c3535563d0f47782abee12c56211bd3c12d70f6ff9e24c28be5bfd590bda8a2"}}