{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:PYMUKDU7P72TY3DLB5UNB3KFIH","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":"5e30075ec7782bb9a877e73f122132531e2258877505e01442b77acb426685ab","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-26T09:32:24Z","title_canon_sha256":"f022b648b7cf05a6d2c0e2c40d4c5843a3a9daa17ab4501734e2dd4f6dfa2aae"},"schema_version":"1.0","source":{"id":"2208.12526","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.12526","created_at":"2026-07-05T04:51:46Z"},{"alias_kind":"arxiv_version","alias_value":"2208.12526v1","created_at":"2026-07-05T04:51:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.12526","created_at":"2026-07-05T04:51:46Z"},{"alias_kind":"pith_short_12","alias_value":"PYMUKDU7P72T","created_at":"2026-07-05T04:51:46Z"},{"alias_kind":"pith_short_16","alias_value":"PYMUKDU7P72TY3DL","created_at":"2026-07-05T04:51:46Z"},{"alias_kind":"pith_short_8","alias_value":"PYMUKDU7","created_at":"2026-07-05T04:51:46Z"}],"graph_snapshots":[{"event_id":"sha256:4d0c7c436e577f577c062a14df9c71558bb2a4525b1b482f7508cf9620dfc5f7","target":"graph","created_at":"2026-07-05T04:51:46Z","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/2208.12526/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the recent developments in the field of cross-modal retrieval, there has been less research focusing on low-resource languages due to the lack of manually annotated datasets. In this paper, we propose a noise-robust cross-lingual cross-modal retrieval method for low-resource languages. To this end, we use Machine Translation (MT) to construct pseudo-parallel sentence pairs for low-resource languages. However, as MT is not perfect, it tends to introduce noise during translation, rendering textual embeddings corrupted and thereby compromising the retrieval performance. To alleviate this,","authors_text":"Jianfeng Dong, Minsong Zhang, Rui Cai, Tianxiang Liang, Xun Wang, Yabing Wang","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-26T09:32:24Z","title":"Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.12526","kind":"arxiv","version":1},"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":"sha256:5454c3ffd6b74187dd16270f9480aa39ee3ba861e0914f66686426bd678f48b2","target":"record","created_at":"2026-07-05T04:51:46Z","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":"5e30075ec7782bb9a877e73f122132531e2258877505e01442b77acb426685ab","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-26T09:32:24Z","title_canon_sha256":"f022b648b7cf05a6d2c0e2c40d4c5843a3a9daa17ab4501734e2dd4f6dfa2aae"},"schema_version":"1.0","source":{"id":"2208.12526","kind":"arxiv","version":1}},"canonical_sha256":"7e19450e9f7ff53c6c6b0f68d0ed4541c2f309f1e96f7a53e899810149e07f36","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e19450e9f7ff53c6c6b0f68d0ed4541c2f309f1e96f7a53e899810149e07f36","first_computed_at":"2026-07-05T04:51:46.654474Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:51:46.654474Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BqlDBDMAGWr3v6eGNI1mLaemFWV0YrvkDaro6k5NXAPdOCN+58Vw7ftb43xx9ERppafLaloMRYHdLFBSeX9mDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:51:46.654889Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.12526","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5454c3ffd6b74187dd16270f9480aa39ee3ba861e0914f66686426bd678f48b2","sha256:4d0c7c436e577f577c062a14df9c71558bb2a4525b1b482f7508cf9620dfc5f7"],"state_sha256":"fa8a66e1add28ded70a8151f7f90ac9dde7471c594301e06346ea6136e64dbe2"}