{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:HDUZMAONT56PG6JDIBNJKWBLOV","short_pith_number":"pith:HDUZMAON","canonical_record":{"source":{"id":"2311.10093","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-16T18:59:51Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"61ec20661e636add721e55f9519812ee9f9b6798c1994efdb530903fb217fafd","abstract_canon_sha256":"6a02e7e873a9334944222db2bdb055138d4cde9d793ed90392a9c5a8e90c0a7e"},"schema_version":"1.0"},"canonical_sha256":"38e99601cd9f7cf37923405a95582b75499e0aa1ceb42d8203a97487b918792c","source":{"kind":"arxiv","id":"2311.10093","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.10093","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"arxiv_version","alias_value":"2311.10093v4","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.10093","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"pith_short_12","alias_value":"HDUZMAONT56P","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"pith_short_16","alias_value":"HDUZMAONT56PG6JD","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"pith_short_8","alias_value":"HDUZMAON","created_at":"2026-07-05T08:43:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:HDUZMAONT56PG6JDIBNJKWBLOV","target":"record","payload":{"canonical_record":{"source":{"id":"2311.10093","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-16T18:59:51Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"61ec20661e636add721e55f9519812ee9f9b6798c1994efdb530903fb217fafd","abstract_canon_sha256":"6a02e7e873a9334944222db2bdb055138d4cde9d793ed90392a9c5a8e90c0a7e"},"schema_version":"1.0"},"canonical_sha256":"38e99601cd9f7cf37923405a95582b75499e0aa1ceb42d8203a97487b918792c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:43:24.281830Z","signature_b64":"V0QkHq+gLrqjv8PwqexXlTClbZRtk3M+meWdAZaW7pXrDkbQm6J5xM8V10oij/D633xzt76M13krDCeGvquYBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"38e99601cd9f7cf37923405a95582b75499e0aa1ceb42d8203a97487b918792c","last_reissued_at":"2026-07-05T08:43:24.281336Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:43:24.281336Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.10093","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:43:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hX8lpa1UEY3Cqgu2+KwlmHZpHPhutyws6sfOzPZEtfgvU5fVqtgGwK5XOJgd6Ur7AazMU/RymblBv8feLHUBDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T12:05:54.858798Z"},"content_sha256":"a04c7fcc95d0e26c2cfaf5a195dd60eeecf5970f720c1ed471d304d200d99b75","schema_version":"1.0","event_id":"sha256:a04c7fcc95d0e26c2cfaf5a195dd60eeecf5970f720c1ed471d304d200d99b75"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:HDUZMAONT56PG6JDIBNJKWBLOV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Chosen One: Consistent Characters in Text-to-Image Diffusion Models","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.GR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Amir Hertz, Daniel Cohen-Or, Dani Lischinski, Moab Arar, Ohad Fried, Omri Avrahami, Shlomi Fruchter, Yael Vinker","submitted_at":"2023-11-16T18:59:51Z","abstract_excerpt":"Recent advances in text-to-image generation models have unlocked vast potential for visual creativity. However, the users that use these models struggle with the generation of consistent characters, a crucial aspect for numerous real-world applications such as story visualization, game development, asset design, advertising, and more. Current methods typically rely on multiple pre-existing images of the target character or involve labor-intensive manual processes. In this work, we propose a fully automated solution for consistent character generation, with the sole input being a text prompt. W"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.10093","kind":"arxiv","version":4},"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/2311.10093/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":"2026-07-05T08:43:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S1IJg263UeYid9ZFFolrT4GkEd0CqWO4ED480OR2tv66NZwinCGOy7OzogJnqCEWsx8UxXRZcaFEVkjWkGJhCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T12:05:54.859101Z"},"content_sha256":"a85b502e8fdba639a0620e4283bd7b9f17f1ff79228204079279bd8437d49d05","schema_version":"1.0","event_id":"sha256:a85b502e8fdba639a0620e4283bd7b9f17f1ff79228204079279bd8437d49d05"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HDUZMAONT56PG6JDIBNJKWBLOV/bundle.json","state_url":"https://pith.science/pith/HDUZMAONT56PG6JDIBNJKWBLOV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HDUZMAONT56PG6JDIBNJKWBLOV/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":"2026-08-11T12:05:54Z","links":{"resolver":"https://pith.science/pith/HDUZMAONT56PG6JDIBNJKWBLOV","bundle":"https://pith.science/pith/HDUZMAONT56PG6JDIBNJKWBLOV/bundle.json","state":"https://pith.science/pith/HDUZMAONT56PG6JDIBNJKWBLOV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HDUZMAONT56PG6JDIBNJKWBLOV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HDUZMAONT56PG6JDIBNJKWBLOV","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":"6a02e7e873a9334944222db2bdb055138d4cde9d793ed90392a9c5a8e90c0a7e","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-16T18:59:51Z","title_canon_sha256":"61ec20661e636add721e55f9519812ee9f9b6798c1994efdb530903fb217fafd"},"schema_version":"1.0","source":{"id":"2311.10093","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.10093","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"arxiv_version","alias_value":"2311.10093v4","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.10093","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"pith_short_12","alias_value":"HDUZMAONT56P","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"pith_short_16","alias_value":"HDUZMAONT56PG6JD","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"pith_short_8","alias_value":"HDUZMAON","created_at":"2026-07-05T08:43:24Z"}],"graph_snapshots":[{"event_id":"sha256:a85b502e8fdba639a0620e4283bd7b9f17f1ff79228204079279bd8437d49d05","target":"graph","created_at":"2026-07-05T08:43:24Z","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/2311.10093/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in text-to-image generation models have unlocked vast potential for visual creativity. However, the users that use these models struggle with the generation of consistent characters, a crucial aspect for numerous real-world applications such as story visualization, game development, asset design, advertising, and more. Current methods typically rely on multiple pre-existing images of the target character or involve labor-intensive manual processes. In this work, we propose a fully automated solution for consistent character generation, with the sole input being a text prompt. W","authors_text":"Amir Hertz, Daniel Cohen-Or, Dani Lischinski, Moab Arar, Ohad Fried, Omri Avrahami, Shlomi Fruchter, Yael Vinker","cross_cats":["cs.GR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-16T18:59:51Z","title":"The Chosen One: Consistent Characters in Text-to-Image Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.10093","kind":"arxiv","version":4},"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:a04c7fcc95d0e26c2cfaf5a195dd60eeecf5970f720c1ed471d304d200d99b75","target":"record","created_at":"2026-07-05T08:43:24Z","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":"6a02e7e873a9334944222db2bdb055138d4cde9d793ed90392a9c5a8e90c0a7e","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-16T18:59:51Z","title_canon_sha256":"61ec20661e636add721e55f9519812ee9f9b6798c1994efdb530903fb217fafd"},"schema_version":"1.0","source":{"id":"2311.10093","kind":"arxiv","version":4}},"canonical_sha256":"38e99601cd9f7cf37923405a95582b75499e0aa1ceb42d8203a97487b918792c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"38e99601cd9f7cf37923405a95582b75499e0aa1ceb42d8203a97487b918792c","first_computed_at":"2026-07-05T08:43:24.281336Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:43:24.281336Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V0QkHq+gLrqjv8PwqexXlTClbZRtk3M+meWdAZaW7pXrDkbQm6J5xM8V10oij/D633xzt76M13krDCeGvquYBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:43:24.281830Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.10093","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a04c7fcc95d0e26c2cfaf5a195dd60eeecf5970f720c1ed471d304d200d99b75","sha256:a85b502e8fdba639a0620e4283bd7b9f17f1ff79228204079279bd8437d49d05"],"state_sha256":"ab807bdcbfd71fec14b6e91cd1cb5be68c2eb966c3612f00f7a855bdf485297c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rXM78pQCIpyFvxzv39LAcTsC1CSjNvP0+2ZuVcfVfh9zhN6JUrfwmsNHxOH6/5eFq6vCfqq/RPYabtsVdvb8Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T12:05:54.861435Z","bundle_sha256":"46836d1e7ea0d56c90692033120bf4599dc61ca122487e91c10e9b26bfdb31b1"}}