{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:X6TMF2IXAX5GNHRBHT7AT4SFO6","short_pith_number":"pith:X6TMF2IX","canonical_record":{"source":{"id":"2311.16711","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T11:45:35Z","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"title_canon_sha256":"59e8722db94851468d08663f8e32954bdf5ed2693377e2faddaa87f4be49bf71","abstract_canon_sha256":"b397cfa09b3f39c81064ea3fd9319275e5fe905dd3afe9ba5ac15a228f7bd628"},"schema_version":"1.0"},"canonical_sha256":"bfa6c2e91705fa669e213cfe09f245778e3039530e1f986ea622de3ac45f9ac7","source":{"kind":"arxiv","id":"2311.16711","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.16711","created_at":"2026-07-05T08:36:44Z"},{"alias_kind":"arxiv_version","alias_value":"2311.16711v2","created_at":"2026-07-05T08:36:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.16711","created_at":"2026-07-05T08:36:44Z"},{"alias_kind":"pith_short_12","alias_value":"X6TMF2IXAX5G","created_at":"2026-07-05T08:36:44Z"},{"alias_kind":"pith_short_16","alias_value":"X6TMF2IXAX5GNHRB","created_at":"2026-07-05T08:36:44Z"},{"alias_kind":"pith_short_8","alias_value":"X6TMF2IX","created_at":"2026-07-05T08:36:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:X6TMF2IXAX5GNHRBHT7AT4SFO6","target":"record","payload":{"canonical_record":{"source":{"id":"2311.16711","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T11:45:35Z","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"title_canon_sha256":"59e8722db94851468d08663f8e32954bdf5ed2693377e2faddaa87f4be49bf71","abstract_canon_sha256":"b397cfa09b3f39c81064ea3fd9319275e5fe905dd3afe9ba5ac15a228f7bd628"},"schema_version":"1.0"},"canonical_sha256":"bfa6c2e91705fa669e213cfe09f245778e3039530e1f986ea622de3ac45f9ac7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:36:44.586415Z","signature_b64":"BKJxPPW0Ei259+USqGEeU21LEl3S7pzR7W7UvRVf1SNHYdeLZWZo4qNiogcNeQGJBwU1ljQ+vsfL6+p0oWtAAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bfa6c2e91705fa669e213cfe09f245778e3039530e1f986ea622de3ac45f9ac7","last_reissued_at":"2026-07-05T08:36:44.585906Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:36:44.585906Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.16711","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:36:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i1n70O7yPmCAAVcLxx57FrmQZZyvw3kJTfRBMygexc8n8Pq6W2LdSPyEI3kzP9BgFl65gyrNUFeiLOPh22S1Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:22:52.113447Z"},"content_sha256":"2c5b6913ee20a6e521e782fb4497f8b42f308933f8938904082ff78b21e3ca70","schema_version":"1.0","event_id":"sha256:2c5b6913ee20a6e521e782fb4497f8b42f308933f8938904082ff78b21e3ca70"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:X6TMF2IXAX5GNHRBHT7AT4SFO6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LEDITS++: Limitless Image Editing using Text-to-Image Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC","cs.LG"],"primary_cat":"cs.CV","authors_text":"Apolin\\'ario Passos, Felix Friedrich, Katharina Kornmeier, Kristian Kersting, Linoy Tsaban, Manuel Brack, Patrick Schramowski","submitted_at":"2023-11-28T11:45:35Z","abstract_excerpt":"Text-to-image diffusion models have recently received increasing interest for their astonishing ability to produce high-fidelity images from solely text inputs. Subsequent research efforts aim to exploit and apply their capabilities to real image editing. However, existing image-to-image methods are often inefficient, imprecise, and of limited versatility. They either require time-consuming finetuning, deviate unnecessarily strongly from the input image, and/or lack support for multiple, simultaneous edits. To address these issues, we introduce LEDITS++, an efficient yet versatile and precise "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.16711","kind":"arxiv","version":2},"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/2311.16711/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":"2026-07-05T08:36:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9rDhl8eW8jHP0uDpViVimdlgcyQMrLPQ+TRjncYXJVaaigKmOiB9TAHG4QjETjlljlxeSgTWa7xHEyybmOjtCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:22:52.113969Z"},"content_sha256":"ec729e54a54a02e11c07cd9a2f50ac449a4869cbdd123c897bb174f101cdeab4","schema_version":"1.0","event_id":"sha256:ec729e54a54a02e11c07cd9a2f50ac449a4869cbdd123c897bb174f101cdeab4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X6TMF2IXAX5GNHRBHT7AT4SFO6/bundle.json","state_url":"https://pith.science/pith/X6TMF2IXAX5GNHRBHT7AT4SFO6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X6TMF2IXAX5GNHRBHT7AT4SFO6/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":"2026-08-07T10:22:52Z","links":{"resolver":"https://pith.science/pith/X6TMF2IXAX5GNHRBHT7AT4SFO6","bundle":"https://pith.science/pith/X6TMF2IXAX5GNHRBHT7AT4SFO6/bundle.json","state":"https://pith.science/pith/X6TMF2IXAX5GNHRBHT7AT4SFO6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X6TMF2IXAX5GNHRBHT7AT4SFO6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:X6TMF2IXAX5GNHRBHT7AT4SFO6","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":"b397cfa09b3f39c81064ea3fd9319275e5fe905dd3afe9ba5ac15a228f7bd628","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T11:45:35Z","title_canon_sha256":"59e8722db94851468d08663f8e32954bdf5ed2693377e2faddaa87f4be49bf71"},"schema_version":"1.0","source":{"id":"2311.16711","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.16711","created_at":"2026-07-05T08:36:44Z"},{"alias_kind":"arxiv_version","alias_value":"2311.16711v2","created_at":"2026-07-05T08:36:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.16711","created_at":"2026-07-05T08:36:44Z"},{"alias_kind":"pith_short_12","alias_value":"X6TMF2IXAX5G","created_at":"2026-07-05T08:36:44Z"},{"alias_kind":"pith_short_16","alias_value":"X6TMF2IXAX5GNHRB","created_at":"2026-07-05T08:36:44Z"},{"alias_kind":"pith_short_8","alias_value":"X6TMF2IX","created_at":"2026-07-05T08:36:44Z"}],"graph_snapshots":[{"event_id":"sha256:ec729e54a54a02e11c07cd9a2f50ac449a4869cbdd123c897bb174f101cdeab4","target":"graph","created_at":"2026-07-05T08:36:44Z","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/2311.16711/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-image diffusion models have recently received increasing interest for their astonishing ability to produce high-fidelity images from solely text inputs. Subsequent research efforts aim to exploit and apply their capabilities to real image editing. However, existing image-to-image methods are often inefficient, imprecise, and of limited versatility. They either require time-consuming finetuning, deviate unnecessarily strongly from the input image, and/or lack support for multiple, simultaneous edits. To address these issues, we introduce LEDITS++, an efficient yet versatile and precise ","authors_text":"Apolin\\'ario Passos, Felix Friedrich, Katharina Kornmeier, Kristian Kersting, Linoy Tsaban, Manuel Brack, Patrick Schramowski","cross_cats":["cs.AI","cs.HC","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T11:45:35Z","title":"LEDITS++: Limitless Image Editing using Text-to-Image Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.16711","kind":"arxiv","version":2},"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":"sha256:2c5b6913ee20a6e521e782fb4497f8b42f308933f8938904082ff78b21e3ca70","target":"record","created_at":"2026-07-05T08:36:44Z","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":"b397cfa09b3f39c81064ea3fd9319275e5fe905dd3afe9ba5ac15a228f7bd628","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-28T11:45:35Z","title_canon_sha256":"59e8722db94851468d08663f8e32954bdf5ed2693377e2faddaa87f4be49bf71"},"schema_version":"1.0","source":{"id":"2311.16711","kind":"arxiv","version":2}},"canonical_sha256":"bfa6c2e91705fa669e213cfe09f245778e3039530e1f986ea622de3ac45f9ac7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bfa6c2e91705fa669e213cfe09f245778e3039530e1f986ea622de3ac45f9ac7","first_computed_at":"2026-07-05T08:36:44.585906Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:36:44.585906Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BKJxPPW0Ei259+USqGEeU21LEl3S7pzR7W7UvRVf1SNHYdeLZWZo4qNiogcNeQGJBwU1ljQ+vsfL6+p0oWtAAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:36:44.586415Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.16711","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2c5b6913ee20a6e521e782fb4497f8b42f308933f8938904082ff78b21e3ca70","sha256:ec729e54a54a02e11c07cd9a2f50ac449a4869cbdd123c897bb174f101cdeab4"],"state_sha256":"eb973e4d348cfb73befc708c98ad3624e762ecabff45b062d1f449bff0fa3f31"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o5IbHjUTssflecTiCP2XeSnWgpxFt54YvskYAJ9gMOPtHh5EJM7X6o1I1Apm5WEa3PcR+u5r8yclBHP8qCOTBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:22:52.121395Z","bundle_sha256":"37fe7a6801177d5ff43471310d7cd8f1d0fd42eb3f1cc646144d1e47efd50ed9"}}