{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:BMMPJHAHYH5LV4FEAH762H22IP","short_pith_number":"pith:BMMPJHAH","schema_version":"1.0","canonical_sha256":"0b18f49c07c1fabaf0a401ffed1f5a43f8ab192164db581b2dd06816fd5da6f0","source":{"kind":"arxiv","id":"2410.11374","version":3},"attestation_state":"computed","paper":{"title":"Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Eunho Yang, Hyunkoo Lee, Jaeryong Hwang, Joowon Kim, June Yong Yang, Soohyun Ryu, Yeonsung Jung, Yoonjeon Kim","submitted_at":"2024-10-15T08:12:54Z","abstract_excerpt":"The development of vision-language and generative models has significantly advanced text-guided image editing, which seeks the preservation of core elements in the source image while implementing modifications based on the target text. However, existing metrics have a context-blindness problem, indiscriminately applying the same evaluation criteria on completely different pairs of source image and target text, biasing towards either modification or preservation. Directional CLIP similarity, the only metric that considers both source image and target text, is also biased towards modification as"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2410.11374","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-15T08:12:54Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"154e51f53c5015c2376b0c22c5f624c2116e77a55d07b9be2627b5705493137b","abstract_canon_sha256":"d4388ed0913e4d582700a79e53676e3bcecc218299ea4ad2201d1c31379f08fe"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:35:38.746560Z","signature_b64":"5zWKOc/pqS8sgiarXuG6XEgDFTpDWEGvQCCUnRsjBN2NgrwgXomxhPCzN37HWFJ4nmW/XIkAE2j0Gpge7tRlAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b18f49c07c1fabaf0a401ffed1f5a43f8ab192164db581b2dd06816fd5da6f0","last_reissued_at":"2026-07-05T10:35:38.745882Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:35:38.745882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Eunho Yang, Hyunkoo Lee, Jaeryong Hwang, Joowon Kim, June Yong Yang, Soohyun Ryu, Yeonsung Jung, Yoonjeon Kim","submitted_at":"2024-10-15T08:12:54Z","abstract_excerpt":"The development of vision-language and generative models has significantly advanced text-guided image editing, which seeks the preservation of core elements in the source image while implementing modifications based on the target text. However, existing metrics have a context-blindness problem, indiscriminately applying the same evaluation criteria on completely different pairs of source image and target text, biasing towards either modification or preservation. Directional CLIP similarity, the only metric that considers both source image and target text, is also biased towards modification as"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.11374","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/2410.11374/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2410.11374","created_at":"2026-07-05T10:35:38.745954+00:00"},{"alias_kind":"arxiv_version","alias_value":"2410.11374v3","created_at":"2026-07-05T10:35:38.745954+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.11374","created_at":"2026-07-05T10:35:38.745954+00:00"},{"alias_kind":"pith_short_12","alias_value":"BMMPJHAHYH5L","created_at":"2026-07-05T10:35:38.745954+00:00"},{"alias_kind":"pith_short_16","alias_value":"BMMPJHAHYH5LV4FE","created_at":"2026-07-05T10:35:38.745954+00:00"},{"alias_kind":"pith_short_8","alias_value":"BMMPJHAH","created_at":"2026-07-05T10:35:38.745954+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BMMPJHAHYH5LV4FEAH762H22IP","json":"https://pith.science/pith/BMMPJHAHYH5LV4FEAH762H22IP.json","graph_json":"https://pith.science/api/pith-number/BMMPJHAHYH5LV4FEAH762H22IP/graph.json","events_json":"https://pith.science/api/pith-number/BMMPJHAHYH5LV4FEAH762H22IP/events.json","paper":"https://pith.science/paper/BMMPJHAH"},"agent_actions":{"view_html":"https://pith.science/pith/BMMPJHAHYH5LV4FEAH762H22IP","download_json":"https://pith.science/pith/BMMPJHAHYH5LV4FEAH762H22IP.json","view_paper":"https://pith.science/paper/BMMPJHAH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2410.11374&json=true","fetch_graph":"https://pith.science/api/pith-number/BMMPJHAHYH5LV4FEAH762H22IP/graph.json","fetch_events":"https://pith.science/api/pith-number/BMMPJHAHYH5LV4FEAH762H22IP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BMMPJHAHYH5LV4FEAH762H22IP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BMMPJHAHYH5LV4FEAH762H22IP/action/storage_attestation","attest_author":"https://pith.science/pith/BMMPJHAHYH5LV4FEAH762H22IP/action/author_attestation","sign_citation":"https://pith.science/pith/BMMPJHAHYH5LV4FEAH762H22IP/action/citation_signature","submit_replication":"https://pith.science/pith/BMMPJHAHYH5LV4FEAH762H22IP/action/replication_record"}},"created_at":"2026-07-05T10:35:38.745954+00:00","updated_at":"2026-07-05T10:35:38.745954+00:00"}