{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Y54TWEQKKEVHG3KU4TZIUNBN5M","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":"95807cfdfb6b5782fbf3e4d2e1fc7a2928a78df8df2a189fc62bf383168d6e86","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-21T02:26:17Z","title_canon_sha256":"5f727a24f4acb5003e6808f12a57c821981bba154876d9b8c616d748c5e46e71"},"schema_version":"1.0","source":{"id":"2506.11036","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.11036","created_at":"2026-07-05T11:20:58Z"},{"alias_kind":"arxiv_version","alias_value":"2506.11036v1","created_at":"2026-07-05T11:20:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.11036","created_at":"2026-07-05T11:20:58Z"},{"alias_kind":"pith_short_12","alias_value":"Y54TWEQKKEVH","created_at":"2026-07-05T11:20:58Z"},{"alias_kind":"pith_short_16","alias_value":"Y54TWEQKKEVHG3KU","created_at":"2026-07-05T11:20:58Z"},{"alias_kind":"pith_short_8","alias_value":"Y54TWEQK","created_at":"2026-07-05T11:20:58Z"}],"graph_snapshots":[{"event_id":"sha256:0e544e672427d5b1ad4da82bff9a35a305ba5aee8ec1b24204ec246e27930a2c","target":"graph","created_at":"2026-07-05T11:20:58Z","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/2506.11036/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite remarkable advancements in text-to-image person re-identification (TIReID) facilitated by the breakthrough of cross-modal embedding models, existing methods often struggle to distinguish challenging candidate images due to intrinsic limitations, such as network architecture and data quality. To address these issues, we propose an Interactive Cross-modal Learning framework (ICL), which leverages human-centered interaction to enhance the discriminability of text queries through external multimodal knowledge. To achieve this, we propose a plug-and-play Test-time Humane-centered Interactio","authors_text":"Chao Chen, Dezhong Peng, Peng Hu, Xi Peng, Yang Qin, Zhihang Fu","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-21T02:26:17Z","title":"Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.11036","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":"sha256:31f31ea24acb2387cc9c5e1d59adae19d4147186aa24c0ba2918ebe80517858f","target":"record","created_at":"2026-07-05T11:20:58Z","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":"95807cfdfb6b5782fbf3e4d2e1fc7a2928a78df8df2a189fc62bf383168d6e86","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-21T02:26:17Z","title_canon_sha256":"5f727a24f4acb5003e6808f12a57c821981bba154876d9b8c616d748c5e46e71"},"schema_version":"1.0","source":{"id":"2506.11036","kind":"arxiv","version":1}},"canonical_sha256":"c7793b120a512a736d54e4f28a342deb2ca33ace20e621353e29e70279f544d3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c7793b120a512a736d54e4f28a342deb2ca33ace20e621353e29e70279f544d3","first_computed_at":"2026-07-05T11:20:58.302886Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:20:58.302886Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UI60d+UCqROJhDPezI+hFZiK4SaLfO2coab1uH3S9LepO5Pq1AT6D1SZCbhOVfNYL72AfJExE2WdgncBA1DrDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:20:58.303461Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.11036","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:31f31ea24acb2387cc9c5e1d59adae19d4147186aa24c0ba2918ebe80517858f","sha256:0e544e672427d5b1ad4da82bff9a35a305ba5aee8ec1b24204ec246e27930a2c"],"state_sha256":"6551b4cd0bbb71b48bb1598267e752e25a8db6e71fed01eb2a36fd78dea5059a"}