{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:T5AS6BWSOJWULFGEFP7X6D2BJ4","short_pith_number":"pith:T5AS6BWS","canonical_record":{"source":{"id":"2410.21061","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-28T14:22:08Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"861b364e5700e389ce279bbc25688e0ee858e2f635b869ee425ebde54780c50a","abstract_canon_sha256":"e7d4528f2e915a12f85dc7e7482e2ed54d6fb168c4da92d0fe5b3238d77b76d3"},"schema_version":"1.0"},"canonical_sha256":"9f412f06d2726d4594c42bff7f0f414f17233e45168d8eb1aae6825adf78c89a","source":{"kind":"arxiv","id":"2410.21061","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.21061","created_at":"2026-07-05T09:27:15Z"},{"alias_kind":"arxiv_version","alias_value":"2410.21061v1","created_at":"2026-07-05T09:27:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.21061","created_at":"2026-07-05T09:27:15Z"},{"alias_kind":"pith_short_12","alias_value":"T5AS6BWSOJWU","created_at":"2026-07-05T09:27:15Z"},{"alias_kind":"pith_short_16","alias_value":"T5AS6BWSOJWULFGE","created_at":"2026-07-05T09:27:15Z"},{"alias_kind":"pith_short_8","alias_value":"T5AS6BWS","created_at":"2026-07-05T09:27:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:T5AS6BWSOJWULFGEFP7X6D2BJ4","target":"record","payload":{"canonical_record":{"source":{"id":"2410.21061","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-28T14:22:08Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"861b364e5700e389ce279bbc25688e0ee858e2f635b869ee425ebde54780c50a","abstract_canon_sha256":"e7d4528f2e915a12f85dc7e7482e2ed54d6fb168c4da92d0fe5b3238d77b76d3"},"schema_version":"1.0"},"canonical_sha256":"9f412f06d2726d4594c42bff7f0f414f17233e45168d8eb1aae6825adf78c89a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:27:15.013420Z","signature_b64":"Fipq0Sc5mg9iI1dBBcgwYPp+HLe1cq8Q0OyI36cejPfDt2kql2Lvdd20+QLhwk0PyrUU20xBpfmKrrbTv5k+BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f412f06d2726d4594c42bff7f0f414f17233e45168d8eb1aae6825adf78c89a","last_reissued_at":"2026-07-05T09:27:15.012806Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:27:15.012806Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.21061","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":"2026-07-05T09:27:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nty4z3u8I9XbzyWjPNTPYeZ6O/VAkuRfNIg4QRDuC0j+/gyAHeB7px9PK7oQSVhZUjdpOJy2s2xFdjBfNh0zAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T00:51:26.225290Z"},"content_sha256":"3931a16552f6eb526ebdc8b3ff5674c5e590e3c5d5c72dade652c5fe7e53ca8d","schema_version":"1.0","event_id":"sha256:3931a16552f6eb526ebdc8b3ff5674c5e590e3c5d5c72dade652c5fe7e53ca8d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:T5AS6BWSOJWULFGEFP7X6D2BJ4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.MM"],"primary_cat":"cs.CV","authors_text":"Andrei Filatov, Andrey Kuznetsov, Anna Averchenkova, Anton Bukashkin, Denis Dimitrov, Evelina Mironova, Igor Pavlov, Julia Agafonova, Konstantin Kulikov, Nikolai Gerasimenko, Viacheslav Vasilev, Vladimir Arkhipkin","submitted_at":"2024-10-28T14:22:08Z","abstract_excerpt":"Text-to-image (T2I) diffusion models are popular for introducing image manipulation methods, such as editing, image fusion, inpainting, etc. At the same time, image-to-video (I2V) and text-to-video (T2V) models are also built on top of T2I models. We present Kandinsky 3, a novel T2I model based on latent diffusion, achieving a high level of quality and photorealism. The key feature of the new architecture is the simplicity and efficiency of its adaptation for many types of generation tasks. We extend the base T2I model for various applications and create a multifunctional generation system tha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.21061","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/2410.21061/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":"2026-07-05T09:27:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fUfIwZEJM362RRBS+/PDzzla+RFyb+73pPfLJx6Tv6z9WgwsLH0EXTu/90k+JrWMwyZ7IG4yvhwP61D5VNRDCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T00:51:26.225670Z"},"content_sha256":"7ab1f77d1b14d751797fa09c76f32d7da4b6a64748645623bb859397ba967dbc","schema_version":"1.0","event_id":"sha256:7ab1f77d1b14d751797fa09c76f32d7da4b6a64748645623bb859397ba967dbc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T5AS6BWSOJWULFGEFP7X6D2BJ4/bundle.json","state_url":"https://pith.science/pith/T5AS6BWSOJWULFGEFP7X6D2BJ4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T5AS6BWSOJWULFGEFP7X6D2BJ4/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":"2026-07-17T00:51:26Z","links":{"resolver":"https://pith.science/pith/T5AS6BWSOJWULFGEFP7X6D2BJ4","bundle":"https://pith.science/pith/T5AS6BWSOJWULFGEFP7X6D2BJ4/bundle.json","state":"https://pith.science/pith/T5AS6BWSOJWULFGEFP7X6D2BJ4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T5AS6BWSOJWULFGEFP7X6D2BJ4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:T5AS6BWSOJWULFGEFP7X6D2BJ4","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":"e7d4528f2e915a12f85dc7e7482e2ed54d6fb168c4da92d0fe5b3238d77b76d3","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-28T14:22:08Z","title_canon_sha256":"861b364e5700e389ce279bbc25688e0ee858e2f635b869ee425ebde54780c50a"},"schema_version":"1.0","source":{"id":"2410.21061","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.21061","created_at":"2026-07-05T09:27:15Z"},{"alias_kind":"arxiv_version","alias_value":"2410.21061v1","created_at":"2026-07-05T09:27:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.21061","created_at":"2026-07-05T09:27:15Z"},{"alias_kind":"pith_short_12","alias_value":"T5AS6BWSOJWU","created_at":"2026-07-05T09:27:15Z"},{"alias_kind":"pith_short_16","alias_value":"T5AS6BWSOJWULFGE","created_at":"2026-07-05T09:27:15Z"},{"alias_kind":"pith_short_8","alias_value":"T5AS6BWS","created_at":"2026-07-05T09:27:15Z"}],"graph_snapshots":[{"event_id":"sha256:7ab1f77d1b14d751797fa09c76f32d7da4b6a64748645623bb859397ba967dbc","target":"graph","created_at":"2026-07-05T09:27:15Z","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/2410.21061/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-image (T2I) diffusion models are popular for introducing image manipulation methods, such as editing, image fusion, inpainting, etc. At the same time, image-to-video (I2V) and text-to-video (T2V) models are also built on top of T2I models. We present Kandinsky 3, a novel T2I model based on latent diffusion, achieving a high level of quality and photorealism. The key feature of the new architecture is the simplicity and efficiency of its adaptation for many types of generation tasks. We extend the base T2I model for various applications and create a multifunctional generation system tha","authors_text":"Andrei Filatov, Andrey Kuznetsov, Anna Averchenkova, Anton Bukashkin, Denis Dimitrov, Evelina Mironova, Igor Pavlov, Julia Agafonova, Konstantin Kulikov, Nikolai Gerasimenko, Viacheslav Vasilev, Vladimir Arkhipkin","cross_cats":["cs.AI","cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-28T14:22:08Z","title":"Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.21061","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":"sha256:3931a16552f6eb526ebdc8b3ff5674c5e590e3c5d5c72dade652c5fe7e53ca8d","target":"record","created_at":"2026-07-05T09:27:15Z","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":"e7d4528f2e915a12f85dc7e7482e2ed54d6fb168c4da92d0fe5b3238d77b76d3","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-28T14:22:08Z","title_canon_sha256":"861b364e5700e389ce279bbc25688e0ee858e2f635b869ee425ebde54780c50a"},"schema_version":"1.0","source":{"id":"2410.21061","kind":"arxiv","version":1}},"canonical_sha256":"9f412f06d2726d4594c42bff7f0f414f17233e45168d8eb1aae6825adf78c89a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9f412f06d2726d4594c42bff7f0f414f17233e45168d8eb1aae6825adf78c89a","first_computed_at":"2026-07-05T09:27:15.012806Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:27:15.012806Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Fipq0Sc5mg9iI1dBBcgwYPp+HLe1cq8Q0OyI36cejPfDt2kql2Lvdd20+QLhwk0PyrUU20xBpfmKrrbTv5k+BA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:27:15.013420Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.21061","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3931a16552f6eb526ebdc8b3ff5674c5e590e3c5d5c72dade652c5fe7e53ca8d","sha256:7ab1f77d1b14d751797fa09c76f32d7da4b6a64748645623bb859397ba967dbc"],"state_sha256":"3ef57436074b24eb5747004936ac97aac9220ab891465c5496e2e58482460290"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AtLoGCa504ZLVFdciMDwG8WmH7e+h7CPd5XDBjr67ef7pMR7DQH5D0UwGIRARS4P6YnQ+uLOo9BPq5sZ1eUYDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-17T00:51:26.228233Z","bundle_sha256":"43b0ace62eaa661d8151311fe5a8eadd5418a93670a48ae96c1c34a7a1a7ea2a"}}