{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SKVPMH7O3YI5FHVUA2ASS2VWUT","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":"7adb912815780f2e3eb9434568ac0e8fc8c282af2b12875640c749af3c01ba6d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-22T12:50:45Z","title_canon_sha256":"32bf655a86024a72bbdbb5ef9e924639463397903d2c15d90663f32c1ff2b7fd"},"schema_version":"1.0","source":{"id":"2408.12352","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.12352","created_at":"2026-07-05T08:58:26Z"},{"alias_kind":"arxiv_version","alias_value":"2408.12352v2","created_at":"2026-07-05T08:58:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.12352","created_at":"2026-07-05T08:58:26Z"},{"alias_kind":"pith_short_12","alias_value":"SKVPMH7O3YI5","created_at":"2026-07-05T08:58:26Z"},{"alias_kind":"pith_short_16","alias_value":"SKVPMH7O3YI5FHVU","created_at":"2026-07-05T08:58:26Z"},{"alias_kind":"pith_short_8","alias_value":"SKVPMH7O","created_at":"2026-07-05T08:58:26Z"}],"graph_snapshots":[{"event_id":"sha256:69370c1c02205e1264fb80068680e5964c28a8e5fca79aad91cfa38a943720f1","target":"graph","created_at":"2026-07-05T08:58:26Z","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/2408.12352/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"General text-to-image models bring revolutionary innovation to the fields of arts, design, and media. However, when applied to garment generation, even the state-of-the-art text-to-image models suffer from fine-grained semantic misalignment, particularly concerning the quantity, position, and interrelations of garment components. Addressing this, we propose GarmentAligner, a text-to-garment diffusion model trained with retrieval-augmented multi-level corrections. To achieve semantic alignment at the component level, we introduce an automatic component extraction pipeline to obtain spatial and ","authors_text":"Hanhui Li, Shiyue Zhang, Xiaodan Liang, Xujie Zhang, Yiqiang Yan, Yuhao Cheng, Zheng Chong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-22T12:50:45Z","title":"GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.12352","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":"sha256:62baacf01a7051d9c88d5f690226eee30d1478989bc48e6b93bf71db94a65209","target":"record","created_at":"2026-07-05T08:58:26Z","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":"7adb912815780f2e3eb9434568ac0e8fc8c282af2b12875640c749af3c01ba6d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-22T12:50:45Z","title_canon_sha256":"32bf655a86024a72bbdbb5ef9e924639463397903d2c15d90663f32c1ff2b7fd"},"schema_version":"1.0","source":{"id":"2408.12352","kind":"arxiv","version":2}},"canonical_sha256":"92aaf61feede11d29eb40681296ab6a4c63192e14338477a1e370ee7300b647a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"92aaf61feede11d29eb40681296ab6a4c63192e14338477a1e370ee7300b647a","first_computed_at":"2026-07-05T08:58:26.857581Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:58:26.857581Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3wg0zN3fUFG7C9lrxFIFvPhS8RemE1K9j+ck8NYiJIf0ud2nda4Mtob0hjCvCafrJrSeGjTpXfNuEXCXBc3gDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:58:26.858005Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.12352","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62baacf01a7051d9c88d5f690226eee30d1478989bc48e6b93bf71db94a65209","sha256:69370c1c02205e1264fb80068680e5964c28a8e5fca79aad91cfa38a943720f1"],"state_sha256":"a7ac1067979441e4860c88569d3ff9728e6f44f4400634a11905223ee2f6b2ea"}