{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:F7H3TDMR4UDEU4BVXT3ZEFDUHX","short_pith_number":"pith:F7H3TDMR","canonical_record":{"source":{"id":"2312.03511","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T14:13:38Z","cross_cats_sorted":["cs.LG","cs.MM"],"title_canon_sha256":"1b35c4b06644dd0d1cf1580a357b2bc767c09b79fcf44f2f648aef4e44971895","abstract_canon_sha256":"efdf06f37f2a992143ac00f516af38d1f8b73c60b0a2c23526b1f295ffceb3ce"},"schema_version":"1.0"},"canonical_sha256":"2fcfb98d91e5064a7035bcf79214743dfdb6b00918865bc50569eed845e19fba","source":{"kind":"arxiv","id":"2312.03511","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.03511","created_at":"2026-07-05T08:37:50Z"},{"alias_kind":"arxiv_version","alias_value":"2312.03511v3","created_at":"2026-07-05T08:37:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.03511","created_at":"2026-07-05T08:37:50Z"},{"alias_kind":"pith_short_12","alias_value":"F7H3TDMR4UDE","created_at":"2026-07-05T08:37:50Z"},{"alias_kind":"pith_short_16","alias_value":"F7H3TDMR4UDEU4BV","created_at":"2026-07-05T08:37:50Z"},{"alias_kind":"pith_short_8","alias_value":"F7H3TDMR","created_at":"2026-07-05T08:37:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:F7H3TDMR4UDEU4BVXT3ZEFDUHX","target":"record","payload":{"canonical_record":{"source":{"id":"2312.03511","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T14:13:38Z","cross_cats_sorted":["cs.LG","cs.MM"],"title_canon_sha256":"1b35c4b06644dd0d1cf1580a357b2bc767c09b79fcf44f2f648aef4e44971895","abstract_canon_sha256":"efdf06f37f2a992143ac00f516af38d1f8b73c60b0a2c23526b1f295ffceb3ce"},"schema_version":"1.0"},"canonical_sha256":"2fcfb98d91e5064a7035bcf79214743dfdb6b00918865bc50569eed845e19fba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:37:50.421148Z","signature_b64":"uVcPEQ+LGll33JJlGMdWkTlC0sCC6uaaRKU8lHMR23XHJYu1PhWmilCKF87XvwRO/HllobGdDN75hZlFkzRlDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2fcfb98d91e5064a7035bcf79214743dfdb6b00918865bc50569eed845e19fba","last_reissued_at":"2026-07-05T08:37:50.420654Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:37:50.420654Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.03511","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:37:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5Vccj8O3lKKVKlJivAdDTSknfBwkHFXL7wG6K+yjcsXQVb5zZPLXHRLPpSZ2nEzgcyH143+2CqU35GMUUakhBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:24:15.417970Z"},"content_sha256":"2335f59bde0452bec3aff1a3c74d946475fdcba632b8cf255eca79d3e7c86899","schema_version":"1.0","event_id":"sha256:2335f59bde0452bec3aff1a3c74d946475fdcba632b8cf255eca79d3e7c86899"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:F7H3TDMR4UDEU4BVXT3ZEFDUHX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Kandinsky 3.0 Technical Report","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.MM"],"primary_cat":"cs.CV","authors_text":"Anastasia Maltseva, Andrei Filatov, Andrey Kuznetsov, Denis Dimitrov, Igor Pavlov, Julia Agafonova, Said Azizov, Viacheslav Vasilev, Vladimir Arkhipkin","submitted_at":"2023-12-06T14:13:38Z","abstract_excerpt":"We present Kandinsky 3.0, a large-scale text-to-image generation model based on latent diffusion, continuing the series of text-to-image Kandinsky models and reflecting our progress to achieve higher quality and realism of image generation. In this report we describe the architecture of the model, the data collection procedure, the training technique, and the production system for user interaction. We focus on the key components that, as we have identified as a result of a large number of experiments, had the most significant impact on improving the quality of our model compared to the others."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.03511","kind":"arxiv","version":3},"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/2312.03511/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":"2026-07-05T08:37:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n0pxBDRiCpKYusoXtugdk7zDm/65Yb5fWIy/3IUJdwwdFvVOhRakE4sq7QYqoRDATi1RiaL7gu4kdT615S37BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:24:15.418524Z"},"content_sha256":"29255b71725e6429e34a65a16991d53e8ce390686b7398a46fdd469950458f95","schema_version":"1.0","event_id":"sha256:29255b71725e6429e34a65a16991d53e8ce390686b7398a46fdd469950458f95"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F7H3TDMR4UDEU4BVXT3ZEFDUHX/bundle.json","state_url":"https://pith.science/pith/F7H3TDMR4UDEU4BVXT3ZEFDUHX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F7H3TDMR4UDEU4BVXT3ZEFDUHX/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":"2026-08-11T08:24:15Z","links":{"resolver":"https://pith.science/pith/F7H3TDMR4UDEU4BVXT3ZEFDUHX","bundle":"https://pith.science/pith/F7H3TDMR4UDEU4BVXT3ZEFDUHX/bundle.json","state":"https://pith.science/pith/F7H3TDMR4UDEU4BVXT3ZEFDUHX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F7H3TDMR4UDEU4BVXT3ZEFDUHX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:F7H3TDMR4UDEU4BVXT3ZEFDUHX","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":"efdf06f37f2a992143ac00f516af38d1f8b73c60b0a2c23526b1f295ffceb3ce","cross_cats_sorted":["cs.LG","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T14:13:38Z","title_canon_sha256":"1b35c4b06644dd0d1cf1580a357b2bc767c09b79fcf44f2f648aef4e44971895"},"schema_version":"1.0","source":{"id":"2312.03511","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.03511","created_at":"2026-07-05T08:37:50Z"},{"alias_kind":"arxiv_version","alias_value":"2312.03511v3","created_at":"2026-07-05T08:37:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.03511","created_at":"2026-07-05T08:37:50Z"},{"alias_kind":"pith_short_12","alias_value":"F7H3TDMR4UDE","created_at":"2026-07-05T08:37:50Z"},{"alias_kind":"pith_short_16","alias_value":"F7H3TDMR4UDEU4BV","created_at":"2026-07-05T08:37:50Z"},{"alias_kind":"pith_short_8","alias_value":"F7H3TDMR","created_at":"2026-07-05T08:37:50Z"}],"graph_snapshots":[{"event_id":"sha256:29255b71725e6429e34a65a16991d53e8ce390686b7398a46fdd469950458f95","target":"graph","created_at":"2026-07-05T08:37:50Z","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/2312.03511/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present Kandinsky 3.0, a large-scale text-to-image generation model based on latent diffusion, continuing the series of text-to-image Kandinsky models and reflecting our progress to achieve higher quality and realism of image generation. In this report we describe the architecture of the model, the data collection procedure, the training technique, and the production system for user interaction. We focus on the key components that, as we have identified as a result of a large number of experiments, had the most significant impact on improving the quality of our model compared to the others.","authors_text":"Anastasia Maltseva, Andrei Filatov, Andrey Kuznetsov, Denis Dimitrov, Igor Pavlov, Julia Agafonova, Said Azizov, Viacheslav Vasilev, Vladimir Arkhipkin","cross_cats":["cs.LG","cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T14:13:38Z","title":"Kandinsky 3.0 Technical Report"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.03511","kind":"arxiv","version":3},"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":"sha256:2335f59bde0452bec3aff1a3c74d946475fdcba632b8cf255eca79d3e7c86899","target":"record","created_at":"2026-07-05T08:37:50Z","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":"efdf06f37f2a992143ac00f516af38d1f8b73c60b0a2c23526b1f295ffceb3ce","cross_cats_sorted":["cs.LG","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T14:13:38Z","title_canon_sha256":"1b35c4b06644dd0d1cf1580a357b2bc767c09b79fcf44f2f648aef4e44971895"},"schema_version":"1.0","source":{"id":"2312.03511","kind":"arxiv","version":3}},"canonical_sha256":"2fcfb98d91e5064a7035bcf79214743dfdb6b00918865bc50569eed845e19fba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2fcfb98d91e5064a7035bcf79214743dfdb6b00918865bc50569eed845e19fba","first_computed_at":"2026-07-05T08:37:50.420654Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:37:50.420654Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uVcPEQ+LGll33JJlGMdWkTlC0sCC6uaaRKU8lHMR23XHJYu1PhWmilCKF87XvwRO/HllobGdDN75hZlFkzRlDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:37:50.421148Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.03511","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2335f59bde0452bec3aff1a3c74d946475fdcba632b8cf255eca79d3e7c86899","sha256:29255b71725e6429e34a65a16991d53e8ce390686b7398a46fdd469950458f95"],"state_sha256":"5aa4382cfa26c0e0cbfca278b08d84f73d1558e954aac69bd1ed9471334b0441"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UJodUGQ91a2x2XdqzRuACwhAzhwqlBIApJED3u8S0KSNTzLpgyXwXfP0q6HMV773sC0yW0QTFogBCPbcLyoMCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T08:24:15.422354Z","bundle_sha256":"e198f2ffcbb46469cfd41a81b2f23d9588306ba45dc0b5c15e864a8204ca5f7d"}}