{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WPYMJZ5KJYIVF7ILTZOSSJGJUE","short_pith_number":"pith:WPYMJZ5K","canonical_record":{"source":{"id":"2501.10935","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-19T04:05:08Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a3bb780db5b3d823cf055ba21b40cc8b452869f35f4a05dd75a404b3807452aa","abstract_canon_sha256":"27ca984c154f50e62363031da853dfe056febf5e9204cd78a08fef4aadc0e5c3"},"schema_version":"1.0"},"canonical_sha256":"b3f0c4e7aa4e1152fd0b9e5d2924c9a101eb170deab293b1c4202765e2f2bc0e","source":{"kind":"arxiv","id":"2501.10935","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.10935","created_at":"2026-07-05T11:19:50Z"},{"alias_kind":"arxiv_version","alias_value":"2501.10935v2","created_at":"2026-07-05T11:19:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.10935","created_at":"2026-07-05T11:19:50Z"},{"alias_kind":"pith_short_12","alias_value":"WPYMJZ5KJYIV","created_at":"2026-07-05T11:19:50Z"},{"alias_kind":"pith_short_16","alias_value":"WPYMJZ5KJYIVF7IL","created_at":"2026-07-05T11:19:50Z"},{"alias_kind":"pith_short_8","alias_value":"WPYMJZ5K","created_at":"2026-07-05T11:19:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WPYMJZ5KJYIVF7ILTZOSSJGJUE","target":"record","payload":{"canonical_record":{"source":{"id":"2501.10935","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-19T04:05:08Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a3bb780db5b3d823cf055ba21b40cc8b452869f35f4a05dd75a404b3807452aa","abstract_canon_sha256":"27ca984c154f50e62363031da853dfe056febf5e9204cd78a08fef4aadc0e5c3"},"schema_version":"1.0"},"canonical_sha256":"b3f0c4e7aa4e1152fd0b9e5d2924c9a101eb170deab293b1c4202765e2f2bc0e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:50.782510Z","signature_b64":"SgwSalgnWoARV4aoUQYoW1R842sp4v85qvH2OsYnEyghLrYjfWz2SWVxo2A3A6+7HMfVa/SJhD1e6gO7whxjCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3f0c4e7aa4e1152fd0b9e5d2924c9a101eb170deab293b1c4202765e2f2bc0e","last_reissued_at":"2026-07-05T11:19:50.782034Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:50.782034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.10935","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":"2026-07-05T11:19:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rys180F7Jq2GWX7nrSPAf3xvvnp5PxgzO7sUp82HKqb2cEZvP7Mq2Jj3yV4wfp7DuBzGIqThMQ9YbAIhsluEBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T05:04:03.887354Z"},"content_sha256":"292f153afbf80f6c2ff503dd7402f1b8aa1efbb24aefe20179a6cdd713807ac0","schema_version":"1.0","event_id":"sha256:292f153afbf80f6c2ff503dd7402f1b8aa1efbb24aefe20179a6cdd713807ac0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WPYMJZ5KJYIVF7ILTZOSSJGJUE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Haoran Luo, Meina Song, Qiankun Ha, Shuai Lyu, Xiao Zhang, Yifan Zhu, Zhonghong Ou, Zijing Tian","submitted_at":"2025-01-19T04:05:08Z","abstract_excerpt":"Cross-modal retrieval maps data under different modality via semantic relevance. Existing approaches implicitly assume that data pairs are well-aligned and ignore the widely existing annotation noise, i.e., noisy correspondence (NC). Consequently, it inevitably causes performance degradation. Despite attempts that employ the co-teaching paradigm with identical architectures to provide distinct data perspectives, the differences between these architectures are primarily stemmed from random initialization. Thus, the model becomes increasingly homogeneous along with the training process. Conseque"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.10935","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/2501.10935/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":"2026-07-05T11:19:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lZHeJjfg/C+30rpmWNcjapxoi6STIIvoMzFcgF1p0Y3Kfopa5ABGD5TBonIpWwy6u5wIq3NNFTo1o8wbTnEACg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T05:04:03.887725Z"},"content_sha256":"04424248eaaf6b287a06a4e41dc4fd767d2b751b7de3110c069b66f9be6431c7","schema_version":"1.0","event_id":"sha256:04424248eaaf6b287a06a4e41dc4fd767d2b751b7de3110c069b66f9be6431c7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WPYMJZ5KJYIVF7ILTZOSSJGJUE/bundle.json","state_url":"https://pith.science/pith/WPYMJZ5KJYIVF7ILTZOSSJGJUE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WPYMJZ5KJYIVF7ILTZOSSJGJUE/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":"2026-07-06T05:04:03Z","links":{"resolver":"https://pith.science/pith/WPYMJZ5KJYIVF7ILTZOSSJGJUE","bundle":"https://pith.science/pith/WPYMJZ5KJYIVF7ILTZOSSJGJUE/bundle.json","state":"https://pith.science/pith/WPYMJZ5KJYIVF7ILTZOSSJGJUE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WPYMJZ5KJYIVF7ILTZOSSJGJUE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WPYMJZ5KJYIVF7ILTZOSSJGJUE","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":"27ca984c154f50e62363031da853dfe056febf5e9204cd78a08fef4aadc0e5c3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-19T04:05:08Z","title_canon_sha256":"a3bb780db5b3d823cf055ba21b40cc8b452869f35f4a05dd75a404b3807452aa"},"schema_version":"1.0","source":{"id":"2501.10935","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.10935","created_at":"2026-07-05T11:19:50Z"},{"alias_kind":"arxiv_version","alias_value":"2501.10935v2","created_at":"2026-07-05T11:19:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.10935","created_at":"2026-07-05T11:19:50Z"},{"alias_kind":"pith_short_12","alias_value":"WPYMJZ5KJYIV","created_at":"2026-07-05T11:19:50Z"},{"alias_kind":"pith_short_16","alias_value":"WPYMJZ5KJYIVF7IL","created_at":"2026-07-05T11:19:50Z"},{"alias_kind":"pith_short_8","alias_value":"WPYMJZ5K","created_at":"2026-07-05T11:19:50Z"}],"graph_snapshots":[{"event_id":"sha256:04424248eaaf6b287a06a4e41dc4fd767d2b751b7de3110c069b66f9be6431c7","target":"graph","created_at":"2026-07-05T11:19:50Z","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/2501.10935/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cross-modal retrieval maps data under different modality via semantic relevance. Existing approaches implicitly assume that data pairs are well-aligned and ignore the widely existing annotation noise, i.e., noisy correspondence (NC). Consequently, it inevitably causes performance degradation. Despite attempts that employ the co-teaching paradigm with identical architectures to provide distinct data perspectives, the differences between these architectures are primarily stemmed from random initialization. Thus, the model becomes increasingly homogeneous along with the training process. Conseque","authors_text":"Haoran Luo, Meina Song, Qiankun Ha, Shuai Lyu, Xiao Zhang, Yifan Zhu, Zhonghong Ou, Zijing Tian","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-19T04:05:08Z","title":"TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.10935","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":"sha256:292f153afbf80f6c2ff503dd7402f1b8aa1efbb24aefe20179a6cdd713807ac0","target":"record","created_at":"2026-07-05T11:19:50Z","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":"27ca984c154f50e62363031da853dfe056febf5e9204cd78a08fef4aadc0e5c3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-19T04:05:08Z","title_canon_sha256":"a3bb780db5b3d823cf055ba21b40cc8b452869f35f4a05dd75a404b3807452aa"},"schema_version":"1.0","source":{"id":"2501.10935","kind":"arxiv","version":2}},"canonical_sha256":"b3f0c4e7aa4e1152fd0b9e5d2924c9a101eb170deab293b1c4202765e2f2bc0e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3f0c4e7aa4e1152fd0b9e5d2924c9a101eb170deab293b1c4202765e2f2bc0e","first_computed_at":"2026-07-05T11:19:50.782034Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:50.782034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SgwSalgnWoARV4aoUQYoW1R842sp4v85qvH2OsYnEyghLrYjfWz2SWVxo2A3A6+7HMfVa/SJhD1e6gO7whxjCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:50.782510Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.10935","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:292f153afbf80f6c2ff503dd7402f1b8aa1efbb24aefe20179a6cdd713807ac0","sha256:04424248eaaf6b287a06a4e41dc4fd767d2b751b7de3110c069b66f9be6431c7"],"state_sha256":"7ff399222e142da9851e98f2af37c69d3ce7479e8e00867ae58cd4a2db621433"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4bXNeOx5DowejMCGI/mwem9gn+9ME9T8HyO5gO/a8Ksrt9tLhOAIiD7w+66LuWdGvLJNwCoBSZcVcSWjBy3+Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T05:04:03.891752Z","bundle_sha256":"09909da9733ad89389b8b279f80df45721f972d5791bfc36aea77be49c33f24e"}}