{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZCTRY2YXPGO6YINFCU7AH65DK4","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":"d8ce406b3b134074825a78fef53bc27d9789a0937c1f60ddc727d3e3f5f224b9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-09-10T20:43:08Z","title_canon_sha256":"6c505b00d27539b17452d8bbc2afbe3e6619bae852f7ec0a32ac2874d007a3fe"},"schema_version":"1.0","source":{"id":"2509.08995","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.08995","created_at":"2026-07-05T12:09:27Z"},{"alias_kind":"arxiv_version","alias_value":"2509.08995v1","created_at":"2026-07-05T12:09:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.08995","created_at":"2026-07-05T12:09:27Z"},{"alias_kind":"pith_short_12","alias_value":"ZCTRY2YXPGO6","created_at":"2026-07-05T12:09:27Z"},{"alias_kind":"pith_short_16","alias_value":"ZCTRY2YXPGO6YINF","created_at":"2026-07-05T12:09:27Z"},{"alias_kind":"pith_short_8","alias_value":"ZCTRY2YX","created_at":"2026-07-05T12:09:27Z"}],"graph_snapshots":[{"event_id":"sha256:3d9f7957b67a608c4b77ca8ba877889ec349fd7d41a1afacf0f8b82aecb03adb","target":"graph","created_at":"2026-07-05T12:09:27Z","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/2509.08995/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The integration of Large Language Models (LLMs) into financial technology (FinTech) has revolutionized the analysis and processing of complex financial data, driving advancements in real-time decision-making and analytics. With the growing trend of deploying AI models on edge devices for financial applications, ensuring the privacy of sensitive financial data has become a significant challenge. To address this, we propose DPFinLLM, a privacy-enhanced, lightweight LLM specifically designed for on-device financial applications. DPFinLLM combines a robust differential privacy mechanism with a str","authors_text":"Honghui Xu, Hoyeung Leung, Jia Wei, Sichen Zhu, Xiaoyi Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-09-10T20:43:08Z","title":"When FinTech Meets Privacy: Securing Financial LLMs with Differential Private Fine-Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.08995","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":"sha256:59981fcfe65a724f1bb52f2c3fd684ca7c46a88ed4fdbd8ba5c9bc204abf8eec","target":"record","created_at":"2026-07-05T12:09:27Z","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":"d8ce406b3b134074825a78fef53bc27d9789a0937c1f60ddc727d3e3f5f224b9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-09-10T20:43:08Z","title_canon_sha256":"6c505b00d27539b17452d8bbc2afbe3e6619bae852f7ec0a32ac2874d007a3fe"},"schema_version":"1.0","source":{"id":"2509.08995","kind":"arxiv","version":1}},"canonical_sha256":"c8a71c6b17799dec21a5153e03fba357109d8dea2fde5a4aed8cf189ad174a4f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c8a71c6b17799dec21a5153e03fba357109d8dea2fde5a4aed8cf189ad174a4f","first_computed_at":"2026-07-05T12:09:27.129858Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:09:27.129858Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lpoz1gYgdfF1PqFwOspsDeDMutO/ZGVyMWVJBhydz+TOEMjoST6fVyu3GUEHDm72dWJ+SDi00T1uS4jJH3eWDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:09:27.130410Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.08995","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:59981fcfe65a724f1bb52f2c3fd684ca7c46a88ed4fdbd8ba5c9bc204abf8eec","sha256:3d9f7957b67a608c4b77ca8ba877889ec349fd7d41a1afacf0f8b82aecb03adb"],"state_sha256":"3aa176f2ec59d8fcd9ae4be8ba0e4c7362e35240730e5d90b4141ce010952e81"}