{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:GJPTPUUQ2IOFZYIA2Y7B2MXHYF","short_pith_number":"pith:GJPTPUUQ","schema_version":"1.0","canonical_sha256":"325f37d290d21c5ce100d63e1d32e7c161e27890a1412887bde56296cb8955b2","source":{"kind":"arxiv","id":"2405.09114","version":3},"attestation_state":"computed","paper":{"title":"SOEDiff: Efficient Distillation for Small Object Editing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Qihe Pan, Ronghua Liang, Sifan Long, Yiming Wu, Zhen Zhao, Zicheng Wang","submitted_at":"2024-05-15T06:14:31Z","abstract_excerpt":"In this paper, we delve into a new task known as small object editing (SOE), which focuses on text-based image inpainting within a constrained, small-sized area. Despite the remarkable success have been achieved by current image inpainting approaches, their application to the SOE task generally results in failure cases such as Object Missing, Text-Image Mismatch, and Distortion. These failures stem from the limited use of small-sized objects in training datasets and the downsampling operations employed by U-Net models, which hinders accurate generation. To overcome these challenges, we introdu"},"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":"2405.09114","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-15T06:14:31Z","cross_cats_sorted":[],"title_canon_sha256":"0596990a8e1c372bd4a37ae4f771cea48c8ab2c0578256bdbf2aea4a2a8d92df","abstract_canon_sha256":"d7d7c78ee5518118bb7163d8b15ca34280790f87162db1a027f8d64d7a62be59"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:55:33.248642Z","signature_b64":"td/mjpV+3J2XNEhKfOkmYgU2HURGcE7FPCmcK1Y/IlGpqui5aZGYjMFLt1imKOhvgGgn+Y9svh8ZC4XWc8QNBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"325f37d290d21c5ce100d63e1d32e7c161e27890a1412887bde56296cb8955b2","last_reissued_at":"2026-07-05T09:55:33.248088Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:55:33.248088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SOEDiff: Efficient Distillation for Small Object Editing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Qihe Pan, Ronghua Liang, Sifan Long, Yiming Wu, Zhen Zhao, Zicheng Wang","submitted_at":"2024-05-15T06:14:31Z","abstract_excerpt":"In this paper, we delve into a new task known as small object editing (SOE), which focuses on text-based image inpainting within a constrained, small-sized area. Despite the remarkable success have been achieved by current image inpainting approaches, their application to the SOE task generally results in failure cases such as Object Missing, Text-Image Mismatch, and Distortion. These failures stem from the limited use of small-sized objects in training datasets and the downsampling operations employed by U-Net models, which hinders accurate generation. To overcome these challenges, we introdu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.09114","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/2405.09114/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":"2405.09114","created_at":"2026-07-05T09:55:33.248140+00:00"},{"alias_kind":"arxiv_version","alias_value":"2405.09114v3","created_at":"2026-07-05T09:55:33.248140+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.09114","created_at":"2026-07-05T09:55:33.248140+00:00"},{"alias_kind":"pith_short_12","alias_value":"GJPTPUUQ2IOF","created_at":"2026-07-05T09:55:33.248140+00:00"},{"alias_kind":"pith_short_16","alias_value":"GJPTPUUQ2IOFZYIA","created_at":"2026-07-05T09:55:33.248140+00:00"},{"alias_kind":"pith_short_8","alias_value":"GJPTPUUQ","created_at":"2026-07-05T09:55:33.248140+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/GJPTPUUQ2IOFZYIA2Y7B2MXHYF","json":"https://pith.science/pith/GJPTPUUQ2IOFZYIA2Y7B2MXHYF.json","graph_json":"https://pith.science/api/pith-number/GJPTPUUQ2IOFZYIA2Y7B2MXHYF/graph.json","events_json":"https://pith.science/api/pith-number/GJPTPUUQ2IOFZYIA2Y7B2MXHYF/events.json","paper":"https://pith.science/paper/GJPTPUUQ"},"agent_actions":{"view_html":"https://pith.science/pith/GJPTPUUQ2IOFZYIA2Y7B2MXHYF","download_json":"https://pith.science/pith/GJPTPUUQ2IOFZYIA2Y7B2MXHYF.json","view_paper":"https://pith.science/paper/GJPTPUUQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2405.09114&json=true","fetch_graph":"https://pith.science/api/pith-number/GJPTPUUQ2IOFZYIA2Y7B2MXHYF/graph.json","fetch_events":"https://pith.science/api/pith-number/GJPTPUUQ2IOFZYIA2Y7B2MXHYF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GJPTPUUQ2IOFZYIA2Y7B2MXHYF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GJPTPUUQ2IOFZYIA2Y7B2MXHYF/action/storage_attestation","attest_author":"https://pith.science/pith/GJPTPUUQ2IOFZYIA2Y7B2MXHYF/action/author_attestation","sign_citation":"https://pith.science/pith/GJPTPUUQ2IOFZYIA2Y7B2MXHYF/action/citation_signature","submit_replication":"https://pith.science/pith/GJPTPUUQ2IOFZYIA2Y7B2MXHYF/action/replication_record"}},"created_at":"2026-07-05T09:55:33.248140+00:00","updated_at":"2026-07-05T09:55:33.248140+00:00"}