{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:POECXX4FZ54KQURUHSETQ4NFFF","short_pith_number":"pith:POECXX4F","canonical_record":{"source":{"id":"2412.19997","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-28T03:45:49Z","cross_cats_sorted":[],"title_canon_sha256":"1a64b615f4676a1c3fb0fd26a00095cebc09d72048ce17669cea3e9ac91e0982","abstract_canon_sha256":"4a533759ec612c36ecf5e064013b3ff1ccf49e14b2c9cfb7e2c7affc001878e3"},"schema_version":"1.0"},"canonical_sha256":"7b882bdf85cf78a852343c893871a52960886cd67d70ec2270bd60c3c0c1222a","source":{"kind":"arxiv","id":"2412.19997","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.19997","created_at":"2026-07-05T09:59:58Z"},{"alias_kind":"arxiv_version","alias_value":"2412.19997v2","created_at":"2026-07-05T09:59:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.19997","created_at":"2026-07-05T09:59:58Z"},{"alias_kind":"pith_short_12","alias_value":"POECXX4FZ54K","created_at":"2026-07-05T09:59:58Z"},{"alias_kind":"pith_short_16","alias_value":"POECXX4FZ54KQURU","created_at":"2026-07-05T09:59:58Z"},{"alias_kind":"pith_short_8","alias_value":"POECXX4F","created_at":"2026-07-05T09:59:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:POECXX4FZ54KQURUHSETQ4NFFF","target":"record","payload":{"canonical_record":{"source":{"id":"2412.19997","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-28T03:45:49Z","cross_cats_sorted":[],"title_canon_sha256":"1a64b615f4676a1c3fb0fd26a00095cebc09d72048ce17669cea3e9ac91e0982","abstract_canon_sha256":"4a533759ec612c36ecf5e064013b3ff1ccf49e14b2c9cfb7e2c7affc001878e3"},"schema_version":"1.0"},"canonical_sha256":"7b882bdf85cf78a852343c893871a52960886cd67d70ec2270bd60c3c0c1222a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:59:58.029938Z","signature_b64":"zCTZZiyFmZ77T96S0IFQ1+CXD7lzSkZGDB066dVHbj3VRDErj7sN5kDdSlCCXXI9mwSX0l0YzF8z5hl7qXrgDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7b882bdf85cf78a852343c893871a52960886cd67d70ec2270bd60c3c0c1222a","last_reissued_at":"2026-07-05T09:59:58.029491Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:59:58.029491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.19997","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":"2026-07-05T09:59:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6k9oC5V+Q9yM1C43HhBjjRM4miBwJ0K2nmlKhBkdBJJAmbUhRFGvfSkdXyPaq4rdM5Xj2bJLk9CUrI8jitMvBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T19:12:52.333095Z"},"content_sha256":"feb68360820e693e70fa2f619a45126bcb6b16892b3159310e97f3b6accd0223","schema_version":"1.0","event_id":"sha256:feb68360820e693e70fa2f619a45126bcb6b16892b3159310e97f3b6accd0223"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:POECXX4FZ54KQURUHSETQ4NFFF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FashionFAE: Fine-grained Attributes Enhanced Fashion Vision-Language Pre-training","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dehong Gao, Jiale Huang, Jinxia Zhang, Xin Wang, Yang Hu, Zechao Zhan","submitted_at":"2024-12-28T03:45:49Z","abstract_excerpt":"Large-scale Vision-Language Pre-training (VLP) has demonstrated remarkable success in the general domain. However, in the fashion domain, items are distinguished by fine-grained attributes like texture and material, which are crucial for tasks such as retrieval. Existing models often fail to leverage these fine-grained attributes from both text and image modalities. To address the above issues, we propose a novel approach for the fashion domain, Fine-grained Attributes Enhanced VLP (FashionFAE), which focuses on the detailed characteristics of fashion data. An attribute-emphasized text predict"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.19997","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/2412.19997/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":"2026-07-05T09:59:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7KiCJrDinIibT2ySeVUt01fZnddN3yEnqr+X4wCRYMjF0p3Z0mq1skGM12uEfPd4lKo3upTI1HUcSeFP7bfvDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T19:12:52.333481Z"},"content_sha256":"d5a4508ce1a3d3aced0cd508a7e53d9edfb80562731a359b3f4de6e0809b992e","schema_version":"1.0","event_id":"sha256:d5a4508ce1a3d3aced0cd508a7e53d9edfb80562731a359b3f4de6e0809b992e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/POECXX4FZ54KQURUHSETQ4NFFF/bundle.json","state_url":"https://pith.science/pith/POECXX4FZ54KQURUHSETQ4NFFF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/POECXX4FZ54KQURUHSETQ4NFFF/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":"2026-07-08T19:12:52Z","links":{"resolver":"https://pith.science/pith/POECXX4FZ54KQURUHSETQ4NFFF","bundle":"https://pith.science/pith/POECXX4FZ54KQURUHSETQ4NFFF/bundle.json","state":"https://pith.science/pith/POECXX4FZ54KQURUHSETQ4NFFF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/POECXX4FZ54KQURUHSETQ4NFFF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:POECXX4FZ54KQURUHSETQ4NFFF","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":"4a533759ec612c36ecf5e064013b3ff1ccf49e14b2c9cfb7e2c7affc001878e3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-28T03:45:49Z","title_canon_sha256":"1a64b615f4676a1c3fb0fd26a00095cebc09d72048ce17669cea3e9ac91e0982"},"schema_version":"1.0","source":{"id":"2412.19997","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.19997","created_at":"2026-07-05T09:59:58Z"},{"alias_kind":"arxiv_version","alias_value":"2412.19997v2","created_at":"2026-07-05T09:59:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.19997","created_at":"2026-07-05T09:59:58Z"},{"alias_kind":"pith_short_12","alias_value":"POECXX4FZ54K","created_at":"2026-07-05T09:59:58Z"},{"alias_kind":"pith_short_16","alias_value":"POECXX4FZ54KQURU","created_at":"2026-07-05T09:59:58Z"},{"alias_kind":"pith_short_8","alias_value":"POECXX4F","created_at":"2026-07-05T09:59:58Z"}],"graph_snapshots":[{"event_id":"sha256:d5a4508ce1a3d3aced0cd508a7e53d9edfb80562731a359b3f4de6e0809b992e","target":"graph","created_at":"2026-07-05T09:59:58Z","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/2412.19997/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large-scale Vision-Language Pre-training (VLP) has demonstrated remarkable success in the general domain. However, in the fashion domain, items are distinguished by fine-grained attributes like texture and material, which are crucial for tasks such as retrieval. Existing models often fail to leverage these fine-grained attributes from both text and image modalities. To address the above issues, we propose a novel approach for the fashion domain, Fine-grained Attributes Enhanced VLP (FashionFAE), which focuses on the detailed characteristics of fashion data. An attribute-emphasized text predict","authors_text":"Dehong Gao, Jiale Huang, Jinxia Zhang, Xin Wang, Yang Hu, Zechao Zhan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-28T03:45:49Z","title":"FashionFAE: Fine-grained Attributes Enhanced Fashion Vision-Language Pre-training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.19997","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:feb68360820e693e70fa2f619a45126bcb6b16892b3159310e97f3b6accd0223","target":"record","created_at":"2026-07-05T09:59:58Z","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":"4a533759ec612c36ecf5e064013b3ff1ccf49e14b2c9cfb7e2c7affc001878e3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-28T03:45:49Z","title_canon_sha256":"1a64b615f4676a1c3fb0fd26a00095cebc09d72048ce17669cea3e9ac91e0982"},"schema_version":"1.0","source":{"id":"2412.19997","kind":"arxiv","version":2}},"canonical_sha256":"7b882bdf85cf78a852343c893871a52960886cd67d70ec2270bd60c3c0c1222a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7b882bdf85cf78a852343c893871a52960886cd67d70ec2270bd60c3c0c1222a","first_computed_at":"2026-07-05T09:59:58.029491Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:59:58.029491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zCTZZiyFmZ77T96S0IFQ1+CXD7lzSkZGDB066dVHbj3VRDErj7sN5kDdSlCCXXI9mwSX0l0YzF8z5hl7qXrgDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:59:58.029938Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.19997","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:feb68360820e693e70fa2f619a45126bcb6b16892b3159310e97f3b6accd0223","sha256:d5a4508ce1a3d3aced0cd508a7e53d9edfb80562731a359b3f4de6e0809b992e"],"state_sha256":"b6002f4ffe57ad5ca3ddbdfc696ebdf063b71626aba45b30bd83e5279d84a730"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7wOevGL7Wob48zgTzGyoFhegc+DGsF0iahywQe6cdtn3ZKGTxfSefp7ZC7nWE7DTE+giEfLliNVffl7DZbzoBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T19:12:52.335532Z","bundle_sha256":"9e7f5842267343d44c4417c771f29e486e0877b3ca65487a64ed2bfb8c02cf13"}}