{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3APIJBFB7RJVFWA76RXXWS7JHI","short_pith_number":"pith:3APIJBFB","canonical_record":{"source":{"id":"2409.10476","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-16T17:10:50Z","cross_cats_sorted":[],"title_canon_sha256":"af03b7b166f84e27ae7a61663fa7cb8b25881031d9ccb878efde681d009dbe23","abstract_canon_sha256":"0f5689c7ded9984bad6462d540907e1a8fb9af32542caff64e7b9221017954fe"},"schema_version":"1.0"},"canonical_sha256":"d81e8484a1fc5352d81ff46f7b4be93a25a31886adabcc7bb5acbaab05982f18","source":{"kind":"arxiv","id":"2409.10476","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.10476","created_at":"2026-07-05T09:07:40Z"},{"alias_kind":"arxiv_version","alias_value":"2409.10476v1","created_at":"2026-07-05T09:07:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.10476","created_at":"2026-07-05T09:07:40Z"},{"alias_kind":"pith_short_12","alias_value":"3APIJBFB7RJV","created_at":"2026-07-05T09:07:40Z"},{"alias_kind":"pith_short_16","alias_value":"3APIJBFB7RJVFWA7","created_at":"2026-07-05T09:07:40Z"},{"alias_kind":"pith_short_8","alias_value":"3APIJBFB","created_at":"2026-07-05T09:07:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3APIJBFB7RJVFWA76RXXWS7JHI","target":"record","payload":{"canonical_record":{"source":{"id":"2409.10476","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-16T17:10:50Z","cross_cats_sorted":[],"title_canon_sha256":"af03b7b166f84e27ae7a61663fa7cb8b25881031d9ccb878efde681d009dbe23","abstract_canon_sha256":"0f5689c7ded9984bad6462d540907e1a8fb9af32542caff64e7b9221017954fe"},"schema_version":"1.0"},"canonical_sha256":"d81e8484a1fc5352d81ff46f7b4be93a25a31886adabcc7bb5acbaab05982f18","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:07:40.770168Z","signature_b64":"1Tz/MJN5+Vaohxx8K2WT6BeR26fKRRD5uu2xJn4toUniwb80+ulSJfsc6bH98dQAAiW1eGoZysABFfPXEvwsDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d81e8484a1fc5352d81ff46f7b4be93a25a31886adabcc7bb5acbaab05982f18","last_reissued_at":"2026-07-05T09:07:40.769718Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:07:40.769718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.10476","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":"2026-07-05T09:07:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tz8iu13fSA52FkSZ/8AhrsQIqgKSwx3n/7aA7D+pPBSe7Ucr2r08jgrT6k42fv8JvLuZ60hHvFmPSs9A4hnSAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T20:40:32.441778Z"},"content_sha256":"fed7ee56810f1a8956be35551129a234afedd932dbdc035ba28dc89ec1a18f28","schema_version":"1.0","event_id":"sha256:fed7ee56810f1a8956be35551129a234afedd932dbdc035ba28dc89ec1a18f28"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3APIJBFB7RJVFWA76RXXWS7JHI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SimInversion: A Simple Framework for Inversion-Based Text-to-Image Editing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haiyang Xu, Juhua Hu, Ming Yan, Qi Qian","submitted_at":"2024-09-16T17:10:50Z","abstract_excerpt":"Diffusion models demonstrate impressive image generation performance with text guidance. Inspired by the learning process of diffusion, existing images can be edited according to text by DDIM inversion. However, the vanilla DDIM inversion is not optimized for classifier-free guidance and the accumulated error will result in the undesired performance. While many algorithms are developed to improve the framework of DDIM inversion for editing, in this work, we investigate the approximation error in DDIM inversion and propose to disentangle the guidance scale for the source and target branches to "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.10476","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/2409.10476/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":"2026-07-05T09:07:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nv8t4QLSeuFjIZS3KJNYgjZD/PVUwqTOh9Gu0KTRL0KPl9kwM/Zcs+71HrZgXX+HOLgrawT4hbMffl7j4l+yCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T20:40:32.442334Z"},"content_sha256":"5e0deca6d5ab81690fafaf532184049658183921e4b1018e4fc112c29e015600","schema_version":"1.0","event_id":"sha256:5e0deca6d5ab81690fafaf532184049658183921e4b1018e4fc112c29e015600"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3APIJBFB7RJVFWA76RXXWS7JHI/bundle.json","state_url":"https://pith.science/pith/3APIJBFB7RJVFWA76RXXWS7JHI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3APIJBFB7RJVFWA76RXXWS7JHI/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":"2026-08-22T20:40:32Z","links":{"resolver":"https://pith.science/pith/3APIJBFB7RJVFWA76RXXWS7JHI","bundle":"https://pith.science/pith/3APIJBFB7RJVFWA76RXXWS7JHI/bundle.json","state":"https://pith.science/pith/3APIJBFB7RJVFWA76RXXWS7JHI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3APIJBFB7RJVFWA76RXXWS7JHI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3APIJBFB7RJVFWA76RXXWS7JHI","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":"0f5689c7ded9984bad6462d540907e1a8fb9af32542caff64e7b9221017954fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-16T17:10:50Z","title_canon_sha256":"af03b7b166f84e27ae7a61663fa7cb8b25881031d9ccb878efde681d009dbe23"},"schema_version":"1.0","source":{"id":"2409.10476","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.10476","created_at":"2026-07-05T09:07:40Z"},{"alias_kind":"arxiv_version","alias_value":"2409.10476v1","created_at":"2026-07-05T09:07:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.10476","created_at":"2026-07-05T09:07:40Z"},{"alias_kind":"pith_short_12","alias_value":"3APIJBFB7RJV","created_at":"2026-07-05T09:07:40Z"},{"alias_kind":"pith_short_16","alias_value":"3APIJBFB7RJVFWA7","created_at":"2026-07-05T09:07:40Z"},{"alias_kind":"pith_short_8","alias_value":"3APIJBFB","created_at":"2026-07-05T09:07:40Z"}],"graph_snapshots":[{"event_id":"sha256:5e0deca6d5ab81690fafaf532184049658183921e4b1018e4fc112c29e015600","target":"graph","created_at":"2026-07-05T09:07:40Z","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/2409.10476/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models demonstrate impressive image generation performance with text guidance. Inspired by the learning process of diffusion, existing images can be edited according to text by DDIM inversion. However, the vanilla DDIM inversion is not optimized for classifier-free guidance and the accumulated error will result in the undesired performance. While many algorithms are developed to improve the framework of DDIM inversion for editing, in this work, we investigate the approximation error in DDIM inversion and propose to disentangle the guidance scale for the source and target branches to ","authors_text":"Haiyang Xu, Juhua Hu, Ming Yan, Qi Qian","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-16T17:10:50Z","title":"SimInversion: A Simple Framework for Inversion-Based Text-to-Image Editing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.10476","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:fed7ee56810f1a8956be35551129a234afedd932dbdc035ba28dc89ec1a18f28","target":"record","created_at":"2026-07-05T09:07:40Z","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":"0f5689c7ded9984bad6462d540907e1a8fb9af32542caff64e7b9221017954fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-16T17:10:50Z","title_canon_sha256":"af03b7b166f84e27ae7a61663fa7cb8b25881031d9ccb878efde681d009dbe23"},"schema_version":"1.0","source":{"id":"2409.10476","kind":"arxiv","version":1}},"canonical_sha256":"d81e8484a1fc5352d81ff46f7b4be93a25a31886adabcc7bb5acbaab05982f18","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d81e8484a1fc5352d81ff46f7b4be93a25a31886adabcc7bb5acbaab05982f18","first_computed_at":"2026-07-05T09:07:40.769718Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:07:40.769718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1Tz/MJN5+Vaohxx8K2WT6BeR26fKRRD5uu2xJn4toUniwb80+ulSJfsc6bH98dQAAiW1eGoZysABFfPXEvwsDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:07:40.770168Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.10476","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fed7ee56810f1a8956be35551129a234afedd932dbdc035ba28dc89ec1a18f28","sha256:5e0deca6d5ab81690fafaf532184049658183921e4b1018e4fc112c29e015600"],"state_sha256":"94cf985e03f802f508ba819f7924739e28b1d7710017733ff70dc849143a25bd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CN+rEpQtpJmcLs+kI8g0DmEvIs0QFUmXpKVMbf0I2IgMoi9GfZo116cgc3kD+QBxewrCFRhts8lMNHpZqoEXAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T20:40:32.447129Z","bundle_sha256":"4e88c3787cc426845275370994a3adefcf55688009daeb53c38ee89c626d8470"}}