{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2YEE6EV3QJ7Y37YTSZXRNPQFJV","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":"221df077f29e3c935ad390322bfa3a0960e7256bb2b2b5187608fdc7b90d8637","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T04:59:20Z","title_canon_sha256":"585972a9b2329885b85a44443f88848a4bf3609d21d39ca20bf3080e62a59bff"},"schema_version":"1.0","source":{"id":"2505.16229","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16229","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16229v1","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16229","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"pith_short_12","alias_value":"2YEE6EV3QJ7Y","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"pith_short_16","alias_value":"2YEE6EV3QJ7Y37YT","created_at":"2026-07-05T11:07:31Z"},{"alias_kind":"pith_short_8","alias_value":"2YEE6EV3","created_at":"2026-07-05T11:07:31Z"}],"graph_snapshots":[{"event_id":"sha256:f053964b71f591b50d5bfde74d043bfd5f478572d9550a25dd94be3448dccb8c","target":"graph","created_at":"2026-07-05T11:07:31Z","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/2505.16229/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computed Tomography (CT) scan, which produces 3D volumetric medical data that can be viewed as hundreds of cross-sectional images (a.k.a. slices), provides detailed anatomical information for diagnosis. For radiologists, creating CT radiology reports is time-consuming and error-prone. A visual question answering (VQA) system that can answer radiologists' questions about some anatomical regions on the CT scan and even automatically generate a radiology report is urgently needed. However, existing VQA systems cannot adequately handle the CT radiology question answering (CTQA) task for: (1) anato","authors_text":"Wenyi Xu, Yunjun Gao, Yuren Mao, Yuyang Qin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T04:59:20Z","title":"CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16229","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":"sha256:2b7b61522a67b4d6283e5e3f1526d7063f4c3ade093e7cda2737d7215ae251ef","target":"record","created_at":"2026-07-05T11:07:31Z","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":"221df077f29e3c935ad390322bfa3a0960e7256bb2b2b5187608fdc7b90d8637","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T04:59:20Z","title_canon_sha256":"585972a9b2329885b85a44443f88848a4bf3609d21d39ca20bf3080e62a59bff"},"schema_version":"1.0","source":{"id":"2505.16229","kind":"arxiv","version":1}},"canonical_sha256":"d6084f12bb827f8dff13966f16be054d637bd1cb6d73716b1c07590501ca4406","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d6084f12bb827f8dff13966f16be054d637bd1cb6d73716b1c07590501ca4406","first_computed_at":"2026-07-05T11:07:31.932781Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:31.932781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y5OE//ZDpfD+5YoYDfqNokRMH8lYdz7wBiNPsk1GgY+9nU3Q0tmBC4X//M/8zJbZwPcQG+KIGnZITDjTYWbDCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:31.933278Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.16229","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b7b61522a67b4d6283e5e3f1526d7063f4c3ade093e7cda2737d7215ae251ef","sha256:f053964b71f591b50d5bfde74d043bfd5f478572d9550a25dd94be3448dccb8c"],"state_sha256":"660d868ab5251d78bd350f11a38c61854c62f3f7aa241506163b90ca491ad2b8"}