{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QOLZPOJF2NOQ53VKYTWMBDQAF5","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":"17546b7c91bde99e8554c699a7af6385b875c7f8b3c01871d2ee28912fc06494","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2025-06-29T06:08:55Z","title_canon_sha256":"c03551530231f188bb5d48bbb0324d234f212c4a130b07927b2970e696f57ed5"},"schema_version":"1.0","source":{"id":"2506.23102","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23102","created_at":"2026-07-01T00:17:08Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23102v2","created_at":"2026-07-01T00:17:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23102","created_at":"2026-07-01T00:17:08Z"},{"alias_kind":"pith_short_12","alias_value":"QOLZPOJF2NOQ","created_at":"2026-07-01T00:17:08Z"},{"alias_kind":"pith_short_16","alias_value":"QOLZPOJF2NOQ53VK","created_at":"2026-07-01T00:17:08Z"},{"alias_kind":"pith_short_8","alias_value":"QOLZPOJF","created_at":"2026-07-01T00:17:08Z"}],"graph_snapshots":[{"event_id":"sha256:eaad5976c2937429750e28b5e151c2dbf4f30317cc8b512fd09da18f1e1c5d6a","target":"graph","created_at":"2026-07-01T00:17:08Z","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/2506.23102/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current CT report generation frameworks predominantly rely on global feature representations, often failing to capture region-specific details and potentially missing certain abnormalities. To overcome this limitation, we propose MedRegion-CT, a region-focused multimodal large language model framework featuring three key innovations. First, we revisit the SlowFast strategy to jointly model global and fine-grained information and adapt it to the medical domain via a Region-based SlowFast Tokenizer that extracts tokens guided by clinically meaningful regions. Second, generated pseudo-masks guide","authors_text":"Dongyeong Kim, Hyungbin Park, Hyunseok Lim, JiHyun Kim, Jimin Sung, Jinyoung Seo, Namkug Kim, Sunggu Kyung, Wooyoung Jo, Yoojin Nam","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2025-06-29T06:08:55Z","title":"Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23102","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":"sha256:0097def97023795c2fea844179c660c0c61d18c5b5709079a0cd4f1bb3dd2da1","target":"record","created_at":"2026-07-01T00:17:08Z","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":"17546b7c91bde99e8554c699a7af6385b875c7f8b3c01871d2ee28912fc06494","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2025-06-29T06:08:55Z","title_canon_sha256":"c03551530231f188bb5d48bbb0324d234f212c4a130b07927b2970e696f57ed5"},"schema_version":"1.0","source":{"id":"2506.23102","kind":"arxiv","version":2}},"canonical_sha256":"839797b925d35d0eeeaac4ecc08e002f6e384842e095b051ce9e9bc463e8f7db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"839797b925d35d0eeeaac4ecc08e002f6e384842e095b051ce9e9bc463e8f7db","first_computed_at":"2026-07-01T00:17:08.249420Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-01T00:17:08.249420Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Lbe/2lOvhihMgHT2Uu2V1kIdu64ChOlQ11hUYRg4PZbLjhVIfE0G/nTeSzQBAi8NFwUMqRoYu70lSRaTpP+lAQ==","signature_status":"signed_v1","signed_at":"2026-07-01T00:17:08.249955Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.23102","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0097def97023795c2fea844179c660c0c61d18c5b5709079a0cd4f1bb3dd2da1","sha256:eaad5976c2937429750e28b5e151c2dbf4f30317cc8b512fd09da18f1e1c5d6a"],"state_sha256":"bf9835d72b5490b5be8983835c64ad9939653875a52ad3eb222c2ada1424110f"}