{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:HQTPJI2L3OLXBFGXCZCK62DVAU","short_pith_number":"pith:HQTPJI2L","canonical_record":{"source":{"id":"2410.11795","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-15T17:19:46Z","cross_cats_sorted":[],"title_canon_sha256":"ef7ce5fa27dfb6cb02e101a12e107ffda4681f6258622eb62bc7c19403c67ded","abstract_canon_sha256":"3a471f7a5de536707f57cdc1f9212cf9302f44ccc5010ffc727276ac874449e8"},"schema_version":"1.0"},"canonical_sha256":"3c26f4a34bdb977094d71644af6875051be27b40476695bde6ea0448bad3df94","source":{"kind":"arxiv","id":"2410.11795","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.11795","created_at":"2026-07-05T09:21:29Z"},{"alias_kind":"arxiv_version","alias_value":"2410.11795v2","created_at":"2026-07-05T09:21:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.11795","created_at":"2026-07-05T09:21:29Z"},{"alias_kind":"pith_short_12","alias_value":"HQTPJI2L3OLX","created_at":"2026-07-05T09:21:29Z"},{"alias_kind":"pith_short_16","alias_value":"HQTPJI2L3OLXBFGX","created_at":"2026-07-05T09:21:29Z"},{"alias_kind":"pith_short_8","alias_value":"HQTPJI2L","created_at":"2026-07-05T09:21:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:HQTPJI2L3OLXBFGXCZCK62DVAU","target":"record","payload":{"canonical_record":{"source":{"id":"2410.11795","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-15T17:19:46Z","cross_cats_sorted":[],"title_canon_sha256":"ef7ce5fa27dfb6cb02e101a12e107ffda4681f6258622eb62bc7c19403c67ded","abstract_canon_sha256":"3a471f7a5de536707f57cdc1f9212cf9302f44ccc5010ffc727276ac874449e8"},"schema_version":"1.0"},"canonical_sha256":"3c26f4a34bdb977094d71644af6875051be27b40476695bde6ea0448bad3df94","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:21:29.042954Z","signature_b64":"57MtAblA4CCQto33GLcYuYUgAab06lEx5DDFN2rZlEfAimUzjKHiFZ0gMGGA/SeJqBDJY/V0azyzurxsSTBqAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3c26f4a34bdb977094d71644af6875051be27b40476695bde6ea0448bad3df94","last_reissued_at":"2026-07-05T09:21:29.042375Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:21:29.042375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.11795","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":"2026-07-05T09:21:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7DhRvF87gm//L+QKhmeHDR9HWj3wyepPMY9QJLJjllu8mmrwb9X6dNJ3shmBt2qWcfYJvsP4FHi9D0CukmKqBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T12:50:26.775927Z"},"content_sha256":"4c125a946a2f6875edd93c21f6548338cc3f02df5adc41e703e21839c85b4fce","schema_version":"1.0","event_id":"sha256:4c125a946a2f6875edd93c21f6548338cc3f02df5adc41e703e21839c85b4fce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:HQTPJI2L3OLXBFGXCZCK62DVAU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bowen Zhou, Gaofeng Liu, Guoli Jia, Jianjun Li, Kaiyan Zhang, Liangliang Zhao, Mingjie Ma, Yichao Ma, Yuzhu Zhang, Zhiyuan Ma","submitted_at":"2024-10-15T17:19:46Z","abstract_excerpt":"As one of the most popular and sought-after generative models in the recent years, diffusion models have sparked the interests of many researchers and steadily shown excellent advantage in various generative tasks such as image synthesis, video generation, molecule design, 3D scene rendering and multimodal generation, relying on their dense theoretical principles and reliable application practices. The remarkable success of these recent efforts on diffusion models comes largely from progressive design principles and efficient architecture, training, inference, and deployment methodologies. How"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.11795","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/2410.11795/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":"2026-07-05T09:21:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D8MGqk60hcM47ioJQ7gS7UkYXQ9SkE/5XkpRXhKQknt4hKS6hXRHlch9MAojoZZnkLN7OmQRoTqg2CJTy/ghAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T12:50:26.776802Z"},"content_sha256":"4cad34453f266afb055fbb8eb4c32b37d6c9b20d4166108997c8dbba0edb474b","schema_version":"1.0","event_id":"sha256:4cad34453f266afb055fbb8eb4c32b37d6c9b20d4166108997c8dbba0edb474b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HQTPJI2L3OLXBFGXCZCK62DVAU/bundle.json","state_url":"https://pith.science/pith/HQTPJI2L3OLXBFGXCZCK62DVAU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HQTPJI2L3OLXBFGXCZCK62DVAU/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":"2026-08-09T12:50:26Z","links":{"resolver":"https://pith.science/pith/HQTPJI2L3OLXBFGXCZCK62DVAU","bundle":"https://pith.science/pith/HQTPJI2L3OLXBFGXCZCK62DVAU/bundle.json","state":"https://pith.science/pith/HQTPJI2L3OLXBFGXCZCK62DVAU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HQTPJI2L3OLXBFGXCZCK62DVAU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HQTPJI2L3OLXBFGXCZCK62DVAU","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":"3a471f7a5de536707f57cdc1f9212cf9302f44ccc5010ffc727276ac874449e8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-15T17:19:46Z","title_canon_sha256":"ef7ce5fa27dfb6cb02e101a12e107ffda4681f6258622eb62bc7c19403c67ded"},"schema_version":"1.0","source":{"id":"2410.11795","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.11795","created_at":"2026-07-05T09:21:29Z"},{"alias_kind":"arxiv_version","alias_value":"2410.11795v2","created_at":"2026-07-05T09:21:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.11795","created_at":"2026-07-05T09:21:29Z"},{"alias_kind":"pith_short_12","alias_value":"HQTPJI2L3OLX","created_at":"2026-07-05T09:21:29Z"},{"alias_kind":"pith_short_16","alias_value":"HQTPJI2L3OLXBFGX","created_at":"2026-07-05T09:21:29Z"},{"alias_kind":"pith_short_8","alias_value":"HQTPJI2L","created_at":"2026-07-05T09:21:29Z"}],"graph_snapshots":[{"event_id":"sha256:4cad34453f266afb055fbb8eb4c32b37d6c9b20d4166108997c8dbba0edb474b","target":"graph","created_at":"2026-07-05T09:21:29Z","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/2410.11795/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As one of the most popular and sought-after generative models in the recent years, diffusion models have sparked the interests of many researchers and steadily shown excellent advantage in various generative tasks such as image synthesis, video generation, molecule design, 3D scene rendering and multimodal generation, relying on their dense theoretical principles and reliable application practices. The remarkable success of these recent efforts on diffusion models comes largely from progressive design principles and efficient architecture, training, inference, and deployment methodologies. How","authors_text":"Bowen Zhou, Gaofeng Liu, Guoli Jia, Jianjun Li, Kaiyan Zhang, Liangliang Zhao, Mingjie Ma, Yichao Ma, Yuzhu Zhang, Zhiyuan Ma","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-15T17:19:46Z","title":"Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.11795","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":"sha256:4c125a946a2f6875edd93c21f6548338cc3f02df5adc41e703e21839c85b4fce","target":"record","created_at":"2026-07-05T09:21:29Z","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":"3a471f7a5de536707f57cdc1f9212cf9302f44ccc5010ffc727276ac874449e8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-15T17:19:46Z","title_canon_sha256":"ef7ce5fa27dfb6cb02e101a12e107ffda4681f6258622eb62bc7c19403c67ded"},"schema_version":"1.0","source":{"id":"2410.11795","kind":"arxiv","version":2}},"canonical_sha256":"3c26f4a34bdb977094d71644af6875051be27b40476695bde6ea0448bad3df94","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c26f4a34bdb977094d71644af6875051be27b40476695bde6ea0448bad3df94","first_computed_at":"2026-07-05T09:21:29.042375Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:21:29.042375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"57MtAblA4CCQto33GLcYuYUgAab06lEx5DDFN2rZlEfAimUzjKHiFZ0gMGGA/SeJqBDJY/V0azyzurxsSTBqAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:21:29.042954Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.11795","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c125a946a2f6875edd93c21f6548338cc3f02df5adc41e703e21839c85b4fce","sha256:4cad34453f266afb055fbb8eb4c32b37d6c9b20d4166108997c8dbba0edb474b"],"state_sha256":"178849b3acb7ddbb97b65692302ae875562a59e30ea42fa4e5c92462db4a5822"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sJ80bUN5DUOqXEuRXIe8RxQ8AXq5YuJ8K8CG/HmIpJoiCP9D0CQqGCgQhttpv4YR98rgewFBo4U3CMTCL2tYCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T12:50:26.782036Z","bundle_sha256":"557fa61e1abc5b04c165b62955b820e7b30acd62a3e951033ba198ddceb23e30"}}