{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SL6CUCK3QGPTKJBRFYNXFL2IWL","short_pith_number":"pith:SL6CUCK3","canonical_record":{"source":{"id":"2508.02841","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-04T19:09:52Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"12e1da983b5f1f6268d311cd36cb7421b1cfa7fcf6fb2576d6579b3b222de6e3","abstract_canon_sha256":"f9e14f7a620978548e2c8657c2daea98d70bc208cfca106fb5bcff3309dcf930"},"schema_version":"1.0"},"canonical_sha256":"92fc2a095b819f3524312e1b72af48b2e6199f780718cf04e945a29b6a48fda5","source":{"kind":"arxiv","id":"2508.02841","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.02841","created_at":"2026-07-05T11:48:31Z"},{"alias_kind":"arxiv_version","alias_value":"2508.02841v1","created_at":"2026-07-05T11:48:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.02841","created_at":"2026-07-05T11:48:31Z"},{"alias_kind":"pith_short_12","alias_value":"SL6CUCK3QGPT","created_at":"2026-07-05T11:48:31Z"},{"alias_kind":"pith_short_16","alias_value":"SL6CUCK3QGPTKJBR","created_at":"2026-07-05T11:48:31Z"},{"alias_kind":"pith_short_8","alias_value":"SL6CUCK3","created_at":"2026-07-05T11:48:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SL6CUCK3QGPTKJBRFYNXFL2IWL","target":"record","payload":{"canonical_record":{"source":{"id":"2508.02841","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-04T19:09:52Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"12e1da983b5f1f6268d311cd36cb7421b1cfa7fcf6fb2576d6579b3b222de6e3","abstract_canon_sha256":"f9e14f7a620978548e2c8657c2daea98d70bc208cfca106fb5bcff3309dcf930"},"schema_version":"1.0"},"canonical_sha256":"92fc2a095b819f3524312e1b72af48b2e6199f780718cf04e945a29b6a48fda5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:48:31.831791Z","signature_b64":"Fz5lNYrMY/4vyh75/c+rV1drjepeM2sMYhIwvVM66lKmMqhHred+vidATCDwQD5qH3D+ySKzyjuJZIAzMLwqAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"92fc2a095b819f3524312e1b72af48b2e6199f780718cf04e945a29b6a48fda5","last_reissued_at":"2026-07-05T11:48:31.831378Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:48:31.831378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.02841","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:48:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CKfqdBs3+x3ruaWb8WF/W35tqU3hS4w6+p+LpVMP05CnYNeFvSUvayowm8EDz1+VK2pbKjMMN/889ew1QSiVBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:09:32.513201Z"},"content_sha256":"1d92191835c7db251684b87e3568f75e16fdc527aa6780189c524fb52823989f","schema_version":"1.0","event_id":"sha256:1d92191835c7db251684b87e3568f75e16fdc527aa6780189c524fb52823989f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SL6CUCK3QGPTKJBRFYNXFL2IWL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Multi-Agent System for Complex Reasoning in Radiology Visual Question Answering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.AI","authors_text":"Jinyu Liu, Mark V. Albert, Ting Xiao, Ziruo Yi","submitted_at":"2025-08-04T19:09:52Z","abstract_excerpt":"Radiology visual question answering (RVQA) provides precise answers to questions about chest X-ray images, alleviating radiologists' workload. While recent methods based on multimodal large language models (MLLMs) and retrieval-augmented generation (RAG) have shown promising progress in RVQA, they still face challenges in factual accuracy, hallucinations, and cross-modal misalignment. We introduce a multi-agent system (MAS) designed to support complex reasoning in RVQA, with specialized agents for context understanding, multimodal reasoning, and answer validation. We evaluate our system on a c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.02841","kind":"arxiv","version":1},"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/2508.02841/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":"2026-07-05T11:48:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kk1501/MbDa9MgXP2M1tTUFfWzuZMp6eMiKgKQilRyRBvBQpH94MzQPYKJmD87guok0Ci0bd39680VDLkun1Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:09:32.513750Z"},"content_sha256":"cdfdfbd434ee8d772fd6e3021abaaf751a88e55bb95caf42c63a2e17875df4b1","schema_version":"1.0","event_id":"sha256:cdfdfbd434ee8d772fd6e3021abaaf751a88e55bb95caf42c63a2e17875df4b1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SL6CUCK3QGPTKJBRFYNXFL2IWL/bundle.json","state_url":"https://pith.science/pith/SL6CUCK3QGPTKJBRFYNXFL2IWL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SL6CUCK3QGPTKJBRFYNXFL2IWL/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":"2026-08-03T16:09:32Z","links":{"resolver":"https://pith.science/pith/SL6CUCK3QGPTKJBRFYNXFL2IWL","bundle":"https://pith.science/pith/SL6CUCK3QGPTKJBRFYNXFL2IWL/bundle.json","state":"https://pith.science/pith/SL6CUCK3QGPTKJBRFYNXFL2IWL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SL6CUCK3QGPTKJBRFYNXFL2IWL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SL6CUCK3QGPTKJBRFYNXFL2IWL","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":"f9e14f7a620978548e2c8657c2daea98d70bc208cfca106fb5bcff3309dcf930","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-04T19:09:52Z","title_canon_sha256":"12e1da983b5f1f6268d311cd36cb7421b1cfa7fcf6fb2576d6579b3b222de6e3"},"schema_version":"1.0","source":{"id":"2508.02841","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.02841","created_at":"2026-07-05T11:48:31Z"},{"alias_kind":"arxiv_version","alias_value":"2508.02841v1","created_at":"2026-07-05T11:48:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.02841","created_at":"2026-07-05T11:48:31Z"},{"alias_kind":"pith_short_12","alias_value":"SL6CUCK3QGPT","created_at":"2026-07-05T11:48:31Z"},{"alias_kind":"pith_short_16","alias_value":"SL6CUCK3QGPTKJBR","created_at":"2026-07-05T11:48:31Z"},{"alias_kind":"pith_short_8","alias_value":"SL6CUCK3","created_at":"2026-07-05T11:48:31Z"}],"graph_snapshots":[{"event_id":"sha256:cdfdfbd434ee8d772fd6e3021abaaf751a88e55bb95caf42c63a2e17875df4b1","target":"graph","created_at":"2026-07-05T11:48:31Z","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/2508.02841/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Radiology visual question answering (RVQA) provides precise answers to questions about chest X-ray images, alleviating radiologists' workload. While recent methods based on multimodal large language models (MLLMs) and retrieval-augmented generation (RAG) have shown promising progress in RVQA, they still face challenges in factual accuracy, hallucinations, and cross-modal misalignment. We introduce a multi-agent system (MAS) designed to support complex reasoning in RVQA, with specialized agents for context understanding, multimodal reasoning, and answer validation. We evaluate our system on a c","authors_text":"Jinyu Liu, Mark V. Albert, Ting Xiao, Ziruo Yi","cross_cats":["cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-04T19:09:52Z","title":"A Multi-Agent System for Complex Reasoning in Radiology Visual Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.02841","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":"sha256:1d92191835c7db251684b87e3568f75e16fdc527aa6780189c524fb52823989f","target":"record","created_at":"2026-07-05T11:48:31Z","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":"f9e14f7a620978548e2c8657c2daea98d70bc208cfca106fb5bcff3309dcf930","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-04T19:09:52Z","title_canon_sha256":"12e1da983b5f1f6268d311cd36cb7421b1cfa7fcf6fb2576d6579b3b222de6e3"},"schema_version":"1.0","source":{"id":"2508.02841","kind":"arxiv","version":1}},"canonical_sha256":"92fc2a095b819f3524312e1b72af48b2e6199f780718cf04e945a29b6a48fda5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"92fc2a095b819f3524312e1b72af48b2e6199f780718cf04e945a29b6a48fda5","first_computed_at":"2026-07-05T11:48:31.831378Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:48:31.831378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Fz5lNYrMY/4vyh75/c+rV1drjepeM2sMYhIwvVM66lKmMqhHred+vidATCDwQD5qH3D+ySKzyjuJZIAzMLwqAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:48:31.831791Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.02841","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d92191835c7db251684b87e3568f75e16fdc527aa6780189c524fb52823989f","sha256:cdfdfbd434ee8d772fd6e3021abaaf751a88e55bb95caf42c63a2e17875df4b1"],"state_sha256":"46917cf556a18fb95008591eaf72df73a73d52eff7fa552a57465188a25bcb2d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+SxABK6gRnIqvjHoGWSXQoUX47HA7mDJ7VXzuUJn4Jyg9SolxocrOF81/fUisRk+ykC6iA1jtvWYJMsjqtqoBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:09:32.520300Z","bundle_sha256":"a1372dbb41586d1f9c2a41413d5db61ccc3460dec52ba8c4ff2da7c2bdb80eb9"}}