{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:AKLXU3KSXR4OZVPBFEGVIMFDED","short_pith_number":"pith:AKLXU3KS","canonical_record":{"source":{"id":"2206.00386","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-01T10:39:12Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"40f8051f289f69cdf1371239d14abdb555314ba740d7173840d62e2382958ec4","abstract_canon_sha256":"bdf938df41678da3cbdece40f37a838377b063e739c0186ee884aca4c4a3d8d7"},"schema_version":"1.0"},"canonical_sha256":"02977a6d52bc78ecd5e1290d5430a320c206d5f9659d718223d0f8b6b8ca6031","source":{"kind":"arxiv","id":"2206.00386","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.00386","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"arxiv_version","alias_value":"2206.00386v1","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.00386","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"pith_short_12","alias_value":"AKLXU3KSXR4O","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"pith_short_16","alias_value":"AKLXU3KSXR4OZVPB","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"pith_short_8","alias_value":"AKLXU3KS","created_at":"2026-07-05T04:28:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:AKLXU3KSXR4OZVPBFEGVIMFDED","target":"record","payload":{"canonical_record":{"source":{"id":"2206.00386","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-01T10:39:12Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"40f8051f289f69cdf1371239d14abdb555314ba740d7173840d62e2382958ec4","abstract_canon_sha256":"bdf938df41678da3cbdece40f37a838377b063e739c0186ee884aca4c4a3d8d7"},"schema_version":"1.0"},"canonical_sha256":"02977a6d52bc78ecd5e1290d5430a320c206d5f9659d718223d0f8b6b8ca6031","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:28:16.060288Z","signature_b64":"7d1iCY9L/GeQDd5LJzKndb1OjH8t+uqM3RXPsdFi14Fk6v469lcy/2w8SGYGaHAyT7qvftKexDnRK02IXb77Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02977a6d52bc78ecd5e1290d5430a320c206d5f9659d718223d0f8b6b8ca6031","last_reissued_at":"2026-07-05T04:28:16.059864Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:28:16.059864Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.00386","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":"2026-07-05T04:28:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FPRynLoU4fsvebrSO+kD3MgzONwthT+GpZMsrBqcWdEjJUTGdgB/854/BYC4duZZIClSbmhBQZFcGJhkO3txAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:37:40.158615Z"},"content_sha256":"29a4a2e8c9258df4d51bb7ceeb3795793415a2661114c192698994d8fa84d121","schema_version":"1.0","event_id":"sha256:29a4a2e8c9258df4d51bb7ceeb3795793415a2661114c192698994d8fa84d121"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:AKLXU3KSXR4OZVPBFEGVIMFDED","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chenfei Wu, Jian Liang, Jie Shi, Nan Duan, Xiang Liu","submitted_at":"2022-06-01T10:39:12Z","abstract_excerpt":"Recently most successful image synthesis models are multi stage process to combine the advantages of different methods, which always includes a VAE-like model for faithfully reconstructing embedding to image and a prior model to generate image embedding. At the same time, diffusion models have shown be capacity to generate high-quality synthetic images. Our work proposes a VQ-VAE architecture model with a diffusion decoder (DiVAE) to work as the reconstructing component in image synthesis. We explore how to input image embedding into diffusion model for excellent performance and find that simp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.00386","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/2206.00386/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":"2026-07-05T04:28:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vKEI3aqSrID/TRxmEhjZrsUC9t0KbbcdD931XdhGfg/yP+ZjKJEDbLoTMJDtzXQFJYmx7XICaVM+mK5tXuCyAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:37:40.159178Z"},"content_sha256":"b34400fe4f057dee88a2bca37b171a3d710538242a672fbf8fa67d2e23d497e0","schema_version":"1.0","event_id":"sha256:b34400fe4f057dee88a2bca37b171a3d710538242a672fbf8fa67d2e23d497e0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AKLXU3KSXR4OZVPBFEGVIMFDED/bundle.json","state_url":"https://pith.science/pith/AKLXU3KSXR4OZVPBFEGVIMFDED/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AKLXU3KSXR4OZVPBFEGVIMFDED/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":"2026-08-05T21:37:40Z","links":{"resolver":"https://pith.science/pith/AKLXU3KSXR4OZVPBFEGVIMFDED","bundle":"https://pith.science/pith/AKLXU3KSXR4OZVPBFEGVIMFDED/bundle.json","state":"https://pith.science/pith/AKLXU3KSXR4OZVPBFEGVIMFDED/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AKLXU3KSXR4OZVPBFEGVIMFDED/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:AKLXU3KSXR4OZVPBFEGVIMFDED","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":"bdf938df41678da3cbdece40f37a838377b063e739c0186ee884aca4c4a3d8d7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-01T10:39:12Z","title_canon_sha256":"40f8051f289f69cdf1371239d14abdb555314ba740d7173840d62e2382958ec4"},"schema_version":"1.0","source":{"id":"2206.00386","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.00386","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"arxiv_version","alias_value":"2206.00386v1","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.00386","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"pith_short_12","alias_value":"AKLXU3KSXR4O","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"pith_short_16","alias_value":"AKLXU3KSXR4OZVPB","created_at":"2026-07-05T04:28:16Z"},{"alias_kind":"pith_short_8","alias_value":"AKLXU3KS","created_at":"2026-07-05T04:28:16Z"}],"graph_snapshots":[{"event_id":"sha256:b34400fe4f057dee88a2bca37b171a3d710538242a672fbf8fa67d2e23d497e0","target":"graph","created_at":"2026-07-05T04:28:16Z","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/2206.00386/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently most successful image synthesis models are multi stage process to combine the advantages of different methods, which always includes a VAE-like model for faithfully reconstructing embedding to image and a prior model to generate image embedding. At the same time, diffusion models have shown be capacity to generate high-quality synthetic images. Our work proposes a VQ-VAE architecture model with a diffusion decoder (DiVAE) to work as the reconstructing component in image synthesis. We explore how to input image embedding into diffusion model for excellent performance and find that simp","authors_text":"Chenfei Wu, Jian Liang, Jie Shi, Nan Duan, Xiang Liu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-01T10:39:12Z","title":"DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.00386","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":"sha256:29a4a2e8c9258df4d51bb7ceeb3795793415a2661114c192698994d8fa84d121","target":"record","created_at":"2026-07-05T04:28:16Z","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":"bdf938df41678da3cbdece40f37a838377b063e739c0186ee884aca4c4a3d8d7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-01T10:39:12Z","title_canon_sha256":"40f8051f289f69cdf1371239d14abdb555314ba740d7173840d62e2382958ec4"},"schema_version":"1.0","source":{"id":"2206.00386","kind":"arxiv","version":1}},"canonical_sha256":"02977a6d52bc78ecd5e1290d5430a320c206d5f9659d718223d0f8b6b8ca6031","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02977a6d52bc78ecd5e1290d5430a320c206d5f9659d718223d0f8b6b8ca6031","first_computed_at":"2026-07-05T04:28:16.059864Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:28:16.059864Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7d1iCY9L/GeQDd5LJzKndb1OjH8t+uqM3RXPsdFi14Fk6v469lcy/2w8SGYGaHAyT7qvftKexDnRK02IXb77Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:28:16.060288Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.00386","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:29a4a2e8c9258df4d51bb7ceeb3795793415a2661114c192698994d8fa84d121","sha256:b34400fe4f057dee88a2bca37b171a3d710538242a672fbf8fa67d2e23d497e0"],"state_sha256":"067ddd8699017c681a083605231020b0a036ae1954b6d080ed2967ef3481800e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JWoVpK+71olGZD6NrzSfTOLHLtFAPBlcA3eccvon6fduXcon3MDCy7ei1DjI73EHxfrfiUdIgRSv0/T8qPELDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T21:37:40.163131Z","bundle_sha256":"51653b3b28940c63e845b65f7dca3ca2fddceec07918e5ed6cd0e5042d0561ad"}}