{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:CXUOA7NIQ6544O563GOFFPQOVT","short_pith_number":"pith:CXUOA7NI","canonical_record":{"source":{"id":"2303.15649","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-28T00:16:45Z","cross_cats_sorted":[],"title_canon_sha256":"3db84dbc467e62e2df70c1dc6662a0a3dae080aa4172c604537514d3f02a363c","abstract_canon_sha256":"bc8278e5601af9a64231b6aea04407c1a706b571cf393f436fcdb96fdc5b72dc"},"schema_version":"1.0"},"canonical_sha256":"15e8e07da887bbce3bbed99c52be0eacf112c07efb65cac66957157de4e1a43e","source":{"kind":"arxiv","id":"2303.15649","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.15649","created_at":"2026-07-05T09:45:05Z"},{"alias_kind":"arxiv_version","alias_value":"2303.15649v3","created_at":"2026-07-05T09:45:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.15649","created_at":"2026-07-05T09:45:05Z"},{"alias_kind":"pith_short_12","alias_value":"CXUOA7NIQ654","created_at":"2026-07-05T09:45:05Z"},{"alias_kind":"pith_short_16","alias_value":"CXUOA7NIQ6544O56","created_at":"2026-07-05T09:45:05Z"},{"alias_kind":"pith_short_8","alias_value":"CXUOA7NI","created_at":"2026-07-05T09:45:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:CXUOA7NIQ6544O563GOFFPQOVT","target":"record","payload":{"canonical_record":{"source":{"id":"2303.15649","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-28T00:16:45Z","cross_cats_sorted":[],"title_canon_sha256":"3db84dbc467e62e2df70c1dc6662a0a3dae080aa4172c604537514d3f02a363c","abstract_canon_sha256":"bc8278e5601af9a64231b6aea04407c1a706b571cf393f436fcdb96fdc5b72dc"},"schema_version":"1.0"},"canonical_sha256":"15e8e07da887bbce3bbed99c52be0eacf112c07efb65cac66957157de4e1a43e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:45:05.829414Z","signature_b64":"RrluNCIuJqxIiszvJLh7rO5DTDti5FnNhqPWZ2xXvcWNrs+iV0feFfZEZtjLUt6cPEw0YZKyFIHRtZtD3GGrCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"15e8e07da887bbce3bbed99c52be0eacf112c07efb65cac66957157de4e1a43e","last_reissued_at":"2026-07-05T09:45:05.828883Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:45:05.828883Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.15649","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":"2026-07-05T09:45:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cN42Fmsstoy9p2pki91eLDnjQsscc0Mmr7qR0IT7/ZQKAhMuxNkNrQmgMtO4e76Y0tpMSLOxQbmiVJUa8wbADQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:12:27.207911Z"},"content_sha256":"5a4ac87840f50dc6a4b8596407e313b10289e22ab67ea096474c598295613c97","schema_version":"1.0","event_id":"sha256:5a4ac87840f50dc6a4b8596407e313b10289e22ab67ea096474c598295613c97"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:CXUOA7NIQ6544O563GOFFPQOVT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fahad Shahbaz Khan, Jian Yang, Joost Van De Weijer, Ming-Ming Cheng, Qibin Hou, Senmao Li, Taihang Hu, Yaxing Wang","submitted_at":"2023-03-28T00:16:45Z","abstract_excerpt":"A significant research effort is focused on exploiting the amazing capacities of pretrained diffusion models for the editing of images.They either finetune the model, or invert the image in the latent space of the pretrained model. However, they suffer from two problems: (1) Unsatisfying results for selected regions and unexpected changes in non-selected regions.(2) They require careful text prompt editing where the prompt should include all visual objects in the input image.To address this, we propose two improvements: (1) Only optimizing the input of the value linear network in the cross-att"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.15649","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/2303.15649/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":"2026-07-05T09:45:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6NiXXJpoIT6qkXiQ3vPrPD1vhUpD8omyQywJEhqrM6XD6Smb7kQo1X8VgVr8K+9XMoWU9J8xIuCg7KoizhpnCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:12:27.208282Z"},"content_sha256":"242e54048da94c0c2e960a7592088fada9d448a9daee4420cb33264697e176d0","schema_version":"1.0","event_id":"sha256:242e54048da94c0c2e960a7592088fada9d448a9daee4420cb33264697e176d0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CXUOA7NIQ6544O563GOFFPQOVT/bundle.json","state_url":"https://pith.science/pith/CXUOA7NIQ6544O563GOFFPQOVT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CXUOA7NIQ6544O563GOFFPQOVT/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":"2026-07-07T11:12:27Z","links":{"resolver":"https://pith.science/pith/CXUOA7NIQ6544O563GOFFPQOVT","bundle":"https://pith.science/pith/CXUOA7NIQ6544O563GOFFPQOVT/bundle.json","state":"https://pith.science/pith/CXUOA7NIQ6544O563GOFFPQOVT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CXUOA7NIQ6544O563GOFFPQOVT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CXUOA7NIQ6544O563GOFFPQOVT","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":"bc8278e5601af9a64231b6aea04407c1a706b571cf393f436fcdb96fdc5b72dc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-28T00:16:45Z","title_canon_sha256":"3db84dbc467e62e2df70c1dc6662a0a3dae080aa4172c604537514d3f02a363c"},"schema_version":"1.0","source":{"id":"2303.15649","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.15649","created_at":"2026-07-05T09:45:05Z"},{"alias_kind":"arxiv_version","alias_value":"2303.15649v3","created_at":"2026-07-05T09:45:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.15649","created_at":"2026-07-05T09:45:05Z"},{"alias_kind":"pith_short_12","alias_value":"CXUOA7NIQ654","created_at":"2026-07-05T09:45:05Z"},{"alias_kind":"pith_short_16","alias_value":"CXUOA7NIQ6544O56","created_at":"2026-07-05T09:45:05Z"},{"alias_kind":"pith_short_8","alias_value":"CXUOA7NI","created_at":"2026-07-05T09:45:05Z"}],"graph_snapshots":[{"event_id":"sha256:242e54048da94c0c2e960a7592088fada9d448a9daee4420cb33264697e176d0","target":"graph","created_at":"2026-07-05T09:45:05Z","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/2303.15649/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A significant research effort is focused on exploiting the amazing capacities of pretrained diffusion models for the editing of images.They either finetune the model, or invert the image in the latent space of the pretrained model. However, they suffer from two problems: (1) Unsatisfying results for selected regions and unexpected changes in non-selected regions.(2) They require careful text prompt editing where the prompt should include all visual objects in the input image.To address this, we propose two improvements: (1) Only optimizing the input of the value linear network in the cross-att","authors_text":"Fahad Shahbaz Khan, Jian Yang, Joost Van De Weijer, Ming-Ming Cheng, Qibin Hou, Senmao Li, Taihang Hu, Yaxing Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-28T00:16:45Z","title":"StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.15649","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":"sha256:5a4ac87840f50dc6a4b8596407e313b10289e22ab67ea096474c598295613c97","target":"record","created_at":"2026-07-05T09:45:05Z","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":"bc8278e5601af9a64231b6aea04407c1a706b571cf393f436fcdb96fdc5b72dc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-28T00:16:45Z","title_canon_sha256":"3db84dbc467e62e2df70c1dc6662a0a3dae080aa4172c604537514d3f02a363c"},"schema_version":"1.0","source":{"id":"2303.15649","kind":"arxiv","version":3}},"canonical_sha256":"15e8e07da887bbce3bbed99c52be0eacf112c07efb65cac66957157de4e1a43e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"15e8e07da887bbce3bbed99c52be0eacf112c07efb65cac66957157de4e1a43e","first_computed_at":"2026-07-05T09:45:05.828883Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:45:05.828883Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RrluNCIuJqxIiszvJLh7rO5DTDti5FnNhqPWZ2xXvcWNrs+iV0feFfZEZtjLUt6cPEw0YZKyFIHRtZtD3GGrCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:45:05.829414Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.15649","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a4ac87840f50dc6a4b8596407e313b10289e22ab67ea096474c598295613c97","sha256:242e54048da94c0c2e960a7592088fada9d448a9daee4420cb33264697e176d0"],"state_sha256":"66164f5576c99189f08a9ca9330bfa9f7b9662f56cd35254e357f2037eee4997"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4jQjH7eiT0VorSKto7Iz7oBAgPFX1MX6Azt/K3FHBsV/saRF5fwsbOUiLEl9dkW4kxsBxEA5iq1LM1gOIZErCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:12:27.210286Z","bundle_sha256":"ad0c05c694dd8d03f70b4bd8d07fd571b4318b4b6d3df118677e0b8c319f0251"}}