{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7R4MBC4FSSNPEMXZYVMLXP72KD","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":"7d0528140a854e13c9a25012712cb64f74e741de1838a4e086989daa53c93479","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-23T15:17:11Z","title_canon_sha256":"4066fc0b2ada5bea4ac4730a151755aba5b57b27c56f8ee3e889367a7a92b80d"},"schema_version":"1.0","source":{"id":"2407.16565","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.16565","created_at":"2026-07-05T08:47:35Z"},{"alias_kind":"arxiv_version","alias_value":"2407.16565v1","created_at":"2026-07-05T08:47:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.16565","created_at":"2026-07-05T08:47:35Z"},{"alias_kind":"pith_short_12","alias_value":"7R4MBC4FSSNP","created_at":"2026-07-05T08:47:35Z"},{"alias_kind":"pith_short_16","alias_value":"7R4MBC4FSSNPEMXZ","created_at":"2026-07-05T08:47:35Z"},{"alias_kind":"pith_short_8","alias_value":"7R4MBC4F","created_at":"2026-07-05T08:47:35Z"}],"graph_snapshots":[{"event_id":"sha256:5d8d6548f7ca29770557d241d85015f8d85278ee0362679b1e1de19e84973812","target":"graph","created_at":"2026-07-05T08:47:35Z","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/2407.16565/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent surge in the accessibility of large language models (LLMs) to the general population can lead to untrackable use of such models for medical-related recommendations. Language generation via LLMs models has two key problems: firstly, they are prone to hallucination and therefore, for any medical purpose they require scientific and factual grounding; secondly, LLMs pose tremendous challenge to computational resources due to their gigantic model size. In this work, we introduce pRAGe, a pipeline for Retrieval Augmented Generation and evaluation of medical paraphrases generation using Small ","authors_text":"Aman Sinha, Ioana Buhnila, Mathieu Constant","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-23T15:17:11Z","title":"Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.16565","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":"sha256:37ba884f1deae339c69c76b7c927ed1fdd38e1b4813ed56f985d57061a35b750","target":"record","created_at":"2026-07-05T08:47:35Z","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":"7d0528140a854e13c9a25012712cb64f74e741de1838a4e086989daa53c93479","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-23T15:17:11Z","title_canon_sha256":"4066fc0b2ada5bea4ac4730a151755aba5b57b27c56f8ee3e889367a7a92b80d"},"schema_version":"1.0","source":{"id":"2407.16565","kind":"arxiv","version":1}},"canonical_sha256":"fc78c08b85949af232f9c558bbbffa50ce8417ee1d82e645935667c218aa37c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc78c08b85949af232f9c558bbbffa50ce8417ee1d82e645935667c218aa37c6","first_computed_at":"2026-07-05T08:47:35.175190Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:47:35.175190Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HgcQQ2CMsigbXSGzbv2thcWLp0MimwM+457+8SWr1qkgQG1m/DnaAHscM/qsRUFUsJBVpjdRfjf/8LiUm45pBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:47:35.175653Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.16565","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:37ba884f1deae339c69c76b7c927ed1fdd38e1b4813ed56f985d57061a35b750","sha256:5d8d6548f7ca29770557d241d85015f8d85278ee0362679b1e1de19e84973812"],"state_sha256":"d1411f8f602a396942e2054699d035a450171d4cb970b91619d1934a75cab8e0"}