{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:RIQEWWEK4FJWERWVIVUI5VXBKL","short_pith_number":"pith:RIQEWWEK","canonical_record":{"source":{"id":"1805.08298","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-21T21:40:02Z","cross_cats_sorted":[],"title_canon_sha256":"aff0e4fd1eb80a0a0846dfa75f2ca3751dadebdc1d7c1e07cdbc5d061c9aa600","abstract_canon_sha256":"accbd8412a78638d45cad61136ee44279585bd3188055aa342638fc069fdfd8a"},"schema_version":"1.0"},"canonical_sha256":"8a204b588ae1536246d545688ed6e152f89d0e3de8c4130934301b1fe086a2ba","source":{"kind":"arxiv","id":"1805.08298","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.08298","created_at":"2026-05-18T00:00:02Z"},{"alias_kind":"arxiv_version","alias_value":"1805.08298v2","created_at":"2026-05-18T00:00:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.08298","created_at":"2026-05-18T00:00:02Z"},{"alias_kind":"pith_short_12","alias_value":"RIQEWWEK4FJW","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"RIQEWWEK4FJWERWV","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"RIQEWWEK","created_at":"2026-05-18T12:32:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:RIQEWWEK4FJWERWVIVUI5VXBKL","target":"record","payload":{"canonical_record":{"source":{"id":"1805.08298","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-21T21:40:02Z","cross_cats_sorted":[],"title_canon_sha256":"aff0e4fd1eb80a0a0846dfa75f2ca3751dadebdc1d7c1e07cdbc5d061c9aa600","abstract_canon_sha256":"accbd8412a78638d45cad61136ee44279585bd3188055aa342638fc069fdfd8a"},"schema_version":"1.0"},"canonical_sha256":"8a204b588ae1536246d545688ed6e152f89d0e3de8c4130934301b1fe086a2ba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:02.092197Z","signature_b64":"WySYX4tXMFoFpc7rZ7BPk7flSqrKSkiLHD69dFvMikOVy0WC8newejlNEtBN0QY+04qmZpw7HkPU+gfX/+F7CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8a204b588ae1536246d545688ed6e152f89d0e3de8c4130934301b1fe086a2ba","last_reissued_at":"2026-05-18T00:00:02.091723Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:02.091723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.08298","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:00:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N7vdg+D5Z1CLvCsRMucYmTpECicv5kmBwIjjbPBOJ3zRPbCnZMvt6lGseeFQ6AGm1deQW/YnarpXIwksV5fjDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T22:56:41.019487Z"},"content_sha256":"74013077e1cb2dad8380e7a43b62694566f9566c605df67ae3b26c791a05e7ab","schema_version":"1.0","event_id":"sha256:74013077e1cb2dad8380e7a43b62694566f9566c605df67ae3b26c791a05e7ab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:RIQEWWEK4FJWERWVIVUI5VXBKL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Christy Y. Li, Eric P. Xing, Xiaodan Liang, Zhiting Hu","submitted_at":"2018-05-21T21:40:02Z","abstract_excerpt":"Generating long and coherent reports to describe medical images poses challenges to bridging visual patterns with informative human linguistic descriptions. We propose a novel Hybrid Retrieval-Generation Reinforced Agent (HRGR-Agent) which reconciles traditional retrieval-based approaches populated with human prior knowledge, with modern learning-based approaches to achieve structured, robust, and diverse report generation. HRGR-Agent employs a hierarchical decision-making procedure. For each sentence, a high-level retrieval policy module chooses to either retrieve a template sentence from an "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.08298","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:00:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZhUExFdUla5Ayov4xH2Bra8n2O9DGHWiiBgp+EpM5jp6yuNhjImpdtKzjPf7XR8t38tsrHK/TwaCG3s04vSZBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T22:56:41.020036Z"},"content_sha256":"70524397d2d771fe1ead4d55282b957b4e3480939cd1f4518081a3194d1b1319","schema_version":"1.0","event_id":"sha256:70524397d2d771fe1ead4d55282b957b4e3480939cd1f4518081a3194d1b1319"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RIQEWWEK4FJWERWVIVUI5VXBKL/bundle.json","state_url":"https://pith.science/pith/RIQEWWEK4FJWERWVIVUI5VXBKL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RIQEWWEK4FJWERWVIVUI5VXBKL/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":"2026-06-04T22:56:41Z","links":{"resolver":"https://pith.science/pith/RIQEWWEK4FJWERWVIVUI5VXBKL","bundle":"https://pith.science/pith/RIQEWWEK4FJWERWVIVUI5VXBKL/bundle.json","state":"https://pith.science/pith/RIQEWWEK4FJWERWVIVUI5VXBKL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RIQEWWEK4FJWERWVIVUI5VXBKL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:RIQEWWEK4FJWERWVIVUI5VXBKL","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":"accbd8412a78638d45cad61136ee44279585bd3188055aa342638fc069fdfd8a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-21T21:40:02Z","title_canon_sha256":"aff0e4fd1eb80a0a0846dfa75f2ca3751dadebdc1d7c1e07cdbc5d061c9aa600"},"schema_version":"1.0","source":{"id":"1805.08298","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.08298","created_at":"2026-05-18T00:00:02Z"},{"alias_kind":"arxiv_version","alias_value":"1805.08298v2","created_at":"2026-05-18T00:00:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.08298","created_at":"2026-05-18T00:00:02Z"},{"alias_kind":"pith_short_12","alias_value":"RIQEWWEK4FJW","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"RIQEWWEK4FJWERWV","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"RIQEWWEK","created_at":"2026-05-18T12:32:50Z"}],"graph_snapshots":[{"event_id":"sha256:70524397d2d771fe1ead4d55282b957b4e3480939cd1f4518081a3194d1b1319","target":"graph","created_at":"2026-05-18T00:00:02Z","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"},"paper":{"abstract_excerpt":"Generating long and coherent reports to describe medical images poses challenges to bridging visual patterns with informative human linguistic descriptions. We propose a novel Hybrid Retrieval-Generation Reinforced Agent (HRGR-Agent) which reconciles traditional retrieval-based approaches populated with human prior knowledge, with modern learning-based approaches to achieve structured, robust, and diverse report generation. HRGR-Agent employs a hierarchical decision-making procedure. For each sentence, a high-level retrieval policy module chooses to either retrieve a template sentence from an ","authors_text":"Christy Y. Li, Eric P. Xing, Xiaodan Liang, Zhiting Hu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-21T21:40:02Z","title":"Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.08298","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":"sha256:74013077e1cb2dad8380e7a43b62694566f9566c605df67ae3b26c791a05e7ab","target":"record","created_at":"2026-05-18T00:00:02Z","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":"accbd8412a78638d45cad61136ee44279585bd3188055aa342638fc069fdfd8a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-21T21:40:02Z","title_canon_sha256":"aff0e4fd1eb80a0a0846dfa75f2ca3751dadebdc1d7c1e07cdbc5d061c9aa600"},"schema_version":"1.0","source":{"id":"1805.08298","kind":"arxiv","version":2}},"canonical_sha256":"8a204b588ae1536246d545688ed6e152f89d0e3de8c4130934301b1fe086a2ba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8a204b588ae1536246d545688ed6e152f89d0e3de8c4130934301b1fe086a2ba","first_computed_at":"2026-05-18T00:00:02.091723Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:02.091723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WySYX4tXMFoFpc7rZ7BPk7flSqrKSkiLHD69dFvMikOVy0WC8newejlNEtBN0QY+04qmZpw7HkPU+gfX/+F7CQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:02.092197Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.08298","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74013077e1cb2dad8380e7a43b62694566f9566c605df67ae3b26c791a05e7ab","sha256:70524397d2d771fe1ead4d55282b957b4e3480939cd1f4518081a3194d1b1319"],"state_sha256":"235ca6995a74291ca43b3a254e7b7a5ea6b0c92f8474fe43ae8a57c5c8852958"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"434CJ+WXEZnoSk7u04Jn7g7C1Q6ASM/5F9PxajIvI4NBigLIJVmALfjAm+eM1hUYYoRkb4GrRpFTdw7QNlmIAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T22:56:41.023282Z","bundle_sha256":"740bd22181fdf14e69c0549b0d2368acca83a8f0a97e07e9703daea4176021be"}}