{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4UICV5COM2HZV7NUM34Q6AYUHV","short_pith_number":"pith:4UICV5CO","canonical_record":{"source":{"id":"2507.23541","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-31T13:31:01Z","cross_cats_sorted":[],"title_canon_sha256":"c0a731b46ee068b3a8bc3509824308789fca0cd6219bf3031ff5575c6f98a30f","abstract_canon_sha256":"2dd75fbd043efc43ec138787aafe7110f72d86a53309848e3bad4f75fea02e51"},"schema_version":"1.0"},"canonical_sha256":"e5102af44e668f9afdb466f90f03143d591a614b23444c59f0c97ef1def94725","source":{"kind":"arxiv","id":"2507.23541","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.23541","created_at":"2026-07-29T01:24:24Z"},{"alias_kind":"arxiv_version","alias_value":"2507.23541v5","created_at":"2026-07-29T01:24:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.23541","created_at":"2026-07-29T01:24:24Z"},{"alias_kind":"pith_short_12","alias_value":"4UICV5COM2HZ","created_at":"2026-07-29T01:24:24Z"},{"alias_kind":"pith_short_16","alias_value":"4UICV5COM2HZV7NU","created_at":"2026-07-29T01:24:24Z"},{"alias_kind":"pith_short_8","alias_value":"4UICV5CO","created_at":"2026-07-29T01:24:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4UICV5COM2HZV7NUM34Q6AYUHV","target":"record","payload":{"canonical_record":{"source":{"id":"2507.23541","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-31T13:31:01Z","cross_cats_sorted":[],"title_canon_sha256":"c0a731b46ee068b3a8bc3509824308789fca0cd6219bf3031ff5575c6f98a30f","abstract_canon_sha256":"2dd75fbd043efc43ec138787aafe7110f72d86a53309848e3bad4f75fea02e51"},"schema_version":"1.0"},"canonical_sha256":"e5102af44e668f9afdb466f90f03143d591a614b23444c59f0c97ef1def94725","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-29T01:24:24.459058Z","signature_b64":"6+008EUgS8DoaF7jQ6nJpEneuERAYj65gV4VBm73mkiTCWV1KWQawZWJrZnoxpXovuK4EhYAOs8nUXBWNJ03Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e5102af44e668f9afdb466f90f03143d591a614b23444c59f0c97ef1def94725","last_reissued_at":"2026-07-29T01:24:24.457969Z","signature_status":"signed_v1","first_computed_at":"2026-07-29T01:24:24.457969Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.23541","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-29T01:24:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I7+oHiJvM6MfFc44eOI56EJWxKdhLCHJQxY6YdmeSbj62x4veZgZu8mqHKV84TEWNJYrJg0fnaPeipTzijK5Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T22:24:54.708023Z"},"content_sha256":"859a21b0a0a1c893e0233821cef928ef5eb2f186fc1d6fa7b3b5628325d31aa1","schema_version":"1.0","event_id":"sha256:859a21b0a0a1c893e0233821cef928ef5eb2f186fc1d6fa7b3b5628325d31aa1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4UICV5COM2HZV7NUM34Q6AYUHV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Med-R$^3$: Enhancing Medical Retrieval-Augmented Reasoning of LLMs via Progressive Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bin Cui, Da Pan, Guosheng Dong, Jiejun Tan, Keer Lu, Shusen Zhang, Wentao Zhang, YouQuan Li, Yunhuai Liu, Zheng Liang","submitted_at":"2025-07-31T13:31:01Z","abstract_excerpt":"In medical scenarios, effectively retrieving external knowledge and leveraging it for rigorous logical reasoning is of significant importance. Despite their potential, existing work has predominantly focused on enhancing either retrieval or reasoning capabilities of the models in isolation, with little attention given to their joint optimization, which leads to limited coordination between the two processes. Additionally, current methods rely heavily on supervised fine-tuning (SFT), which can cause models to memorize existing problem-solving pathways, thereby restricting their generalization a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.23541","kind":"arxiv","version":5},"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/2507.23541/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":"2026-07-29T01:24:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AjfRif9xCSLkIl8142stemYnh7QthQV9qQ7u6ztTy06tQKUVae//wuBANiBlCngRSaEjLwLybkPLthVIz4q9CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T22:24:54.708517Z"},"content_sha256":"87dfae9cdb2ae77df671026713afd68334b6acfe1625a485c4c940d41c96e108","schema_version":"1.0","event_id":"sha256:87dfae9cdb2ae77df671026713afd68334b6acfe1625a485c4c940d41c96e108"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4UICV5COM2HZV7NUM34Q6AYUHV/bundle.json","state_url":"https://pith.science/pith/4UICV5COM2HZV7NUM34Q6AYUHV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4UICV5COM2HZV7NUM34Q6AYUHV/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":"2026-08-15T22:24:54Z","links":{"resolver":"https://pith.science/pith/4UICV5COM2HZV7NUM34Q6AYUHV","bundle":"https://pith.science/pith/4UICV5COM2HZV7NUM34Q6AYUHV/bundle.json","state":"https://pith.science/pith/4UICV5COM2HZV7NUM34Q6AYUHV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4UICV5COM2HZV7NUM34Q6AYUHV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4UICV5COM2HZV7NUM34Q6AYUHV","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":"2dd75fbd043efc43ec138787aafe7110f72d86a53309848e3bad4f75fea02e51","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-31T13:31:01Z","title_canon_sha256":"c0a731b46ee068b3a8bc3509824308789fca0cd6219bf3031ff5575c6f98a30f"},"schema_version":"1.0","source":{"id":"2507.23541","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.23541","created_at":"2026-07-29T01:24:24Z"},{"alias_kind":"arxiv_version","alias_value":"2507.23541v5","created_at":"2026-07-29T01:24:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.23541","created_at":"2026-07-29T01:24:24Z"},{"alias_kind":"pith_short_12","alias_value":"4UICV5COM2HZ","created_at":"2026-07-29T01:24:24Z"},{"alias_kind":"pith_short_16","alias_value":"4UICV5COM2HZV7NU","created_at":"2026-07-29T01:24:24Z"},{"alias_kind":"pith_short_8","alias_value":"4UICV5CO","created_at":"2026-07-29T01:24:24Z"}],"graph_snapshots":[{"event_id":"sha256:87dfae9cdb2ae77df671026713afd68334b6acfe1625a485c4c940d41c96e108","target":"graph","created_at":"2026-07-29T01:24:24Z","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/2507.23541/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In medical scenarios, effectively retrieving external knowledge and leveraging it for rigorous logical reasoning is of significant importance. Despite their potential, existing work has predominantly focused on enhancing either retrieval or reasoning capabilities of the models in isolation, with little attention given to their joint optimization, which leads to limited coordination between the two processes. Additionally, current methods rely heavily on supervised fine-tuning (SFT), which can cause models to memorize existing problem-solving pathways, thereby restricting their generalization a","authors_text":"Bin Cui, Da Pan, Guosheng Dong, Jiejun Tan, Keer Lu, Shusen Zhang, Wentao Zhang, YouQuan Li, Yunhuai Liu, Zheng Liang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-31T13:31:01Z","title":"Med-R$^3$: Enhancing Medical Retrieval-Augmented Reasoning of LLMs via Progressive Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.23541","kind":"arxiv","version":5},"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":"sha256:859a21b0a0a1c893e0233821cef928ef5eb2f186fc1d6fa7b3b5628325d31aa1","target":"record","created_at":"2026-07-29T01:24:24Z","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":"2dd75fbd043efc43ec138787aafe7110f72d86a53309848e3bad4f75fea02e51","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-31T13:31:01Z","title_canon_sha256":"c0a731b46ee068b3a8bc3509824308789fca0cd6219bf3031ff5575c6f98a30f"},"schema_version":"1.0","source":{"id":"2507.23541","kind":"arxiv","version":5}},"canonical_sha256":"e5102af44e668f9afdb466f90f03143d591a614b23444c59f0c97ef1def94725","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e5102af44e668f9afdb466f90f03143d591a614b23444c59f0c97ef1def94725","first_computed_at":"2026-07-29T01:24:24.457969Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-29T01:24:24.457969Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6+008EUgS8DoaF7jQ6nJpEneuERAYj65gV4VBm73mkiTCWV1KWQawZWJrZnoxpXovuK4EhYAOs8nUXBWNJ03Dg==","signature_status":"signed_v1","signed_at":"2026-07-29T01:24:24.459058Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.23541","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:859a21b0a0a1c893e0233821cef928ef5eb2f186fc1d6fa7b3b5628325d31aa1","sha256:87dfae9cdb2ae77df671026713afd68334b6acfe1625a485c4c940d41c96e108"],"state_sha256":"9e1c8b4d064d70059c57ec41be873746717f3c757b2b0471dea1a34735558a9a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"li2WW3mIFJTINw3QQiX2USmtbSwpPz9gQKGd1weXOezXB98YIDWvX9bmcHBhCs3iMrQvsYfPxTwVjwdvSGL/CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T22:24:54.711804Z","bundle_sha256":"055d32a58e23e38e2da67dbb4ccccbf6ae3ba5961be23c78a75c7bea39b1d691"}}