{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3WZWEHSMNKUSI7B2NOSQTTXD3V","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":"3bd496ad0180a3d23cf2bc882e7bc5da858a172874c10b1155e02e0f18ff8eda","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-26T03:33:26Z","title_canon_sha256":"73a399cb4675596557c6a031832495f167fd6332320d399b099dafe7f07b8b56"},"schema_version":"1.0","source":{"id":"2409.17508","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.17508","created_at":"2026-07-05T09:29:33Z"},{"alias_kind":"arxiv_version","alias_value":"2409.17508v2","created_at":"2026-07-05T09:29:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.17508","created_at":"2026-07-05T09:29:33Z"},{"alias_kind":"pith_short_12","alias_value":"3WZWEHSMNKUS","created_at":"2026-07-05T09:29:33Z"},{"alias_kind":"pith_short_16","alias_value":"3WZWEHSMNKUSI7B2","created_at":"2026-07-05T09:29:33Z"},{"alias_kind":"pith_short_8","alias_value":"3WZWEHSM","created_at":"2026-07-05T09:29:33Z"}],"graph_snapshots":[{"event_id":"sha256:0834e42f1dfbf288f0b43a048fb1c34aa8a205776d43ed6cffeca26b3c201027","target":"graph","created_at":"2026-07-05T09:29:33Z","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/2409.17508/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-modal large language models (MLLMs) have shown impressive capabilities as a general-purpose interface for various visual and linguistic tasks. However, building a unified MLLM for multi-task learning in the medical field remains a thorny challenge. To mitigate the tug-of-war problem of multi-modal multi-task optimization in MLLMs, recent advances primarily focus on improving the LLM components, while neglecting the connector that bridges the gap between modalities. In this paper, we introduce Uni-Med, a novel medical generalist foundation model which consists of a universal visual featur","authors_text":"Fanbin Mo, Ji Wu, Miao Li, Xun Zhu, Ying Hu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-26T03:33:26Z","title":"Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.17508","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":"sha256:75eb4880b2af54a233f6faaf3036b37a89ffd5712d49609b805ab7370a45e8e7","target":"record","created_at":"2026-07-05T09:29:33Z","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":"3bd496ad0180a3d23cf2bc882e7bc5da858a172874c10b1155e02e0f18ff8eda","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-26T03:33:26Z","title_canon_sha256":"73a399cb4675596557c6a031832495f167fd6332320d399b099dafe7f07b8b56"},"schema_version":"1.0","source":{"id":"2409.17508","kind":"arxiv","version":2}},"canonical_sha256":"ddb3621e4c6aa9247c3a6ba509cee3dd7335cbc630aac5a64eeecc686c1ba9ba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ddb3621e4c6aa9247c3a6ba509cee3dd7335cbc630aac5a64eeecc686c1ba9ba","first_computed_at":"2026-07-05T09:29:33.623395Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:29:33.623395Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WF51gFYxS1eKFvvAMLYk44cGWYBVUG6SNKHbaOtYGzIlLhJ3LDJE3Ht27n7LnhA8ShiHVOe5U7eTrABtIcNzCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:29:33.623889Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.17508","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:75eb4880b2af54a233f6faaf3036b37a89ffd5712d49609b805ab7370a45e8e7","sha256:0834e42f1dfbf288f0b43a048fb1c34aa8a205776d43ed6cffeca26b3c201027"],"state_sha256":"cbb0c434b1c8e76529133588ee7f9993ebe2c38efd5ca051e198de8cececa635"}