{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RZ6ZM5XNJZ6B3OQCDCDKVQAHGY","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":"d2d1a2474b15491b0d78d6b8d43ce6b47fb9c45e46ec684101cbaceb592b4bd3","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-01T05:37:17Z","title_canon_sha256":"8a5da765e98502e8ddc2eeb803909c56a79941530bef70d717e8cceb7fed398f"},"schema_version":"1.0","source":{"id":"2407.12036","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.12036","created_at":"2026-07-05T09:34:16Z"},{"alias_kind":"arxiv_version","alias_value":"2407.12036v2","created_at":"2026-07-05T09:34:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.12036","created_at":"2026-07-05T09:34:16Z"},{"alias_kind":"pith_short_12","alias_value":"RZ6ZM5XNJZ6B","created_at":"2026-07-05T09:34:16Z"},{"alias_kind":"pith_short_16","alias_value":"RZ6ZM5XNJZ6B3OQC","created_at":"2026-07-05T09:34:16Z"},{"alias_kind":"pith_short_8","alias_value":"RZ6ZM5XN","created_at":"2026-07-05T09:34:16Z"}],"graph_snapshots":[{"event_id":"sha256:f497ccbe127ffe702c8f3332a6d546be13c29ff9e3f859669a528fcea4641a5f","target":"graph","created_at":"2026-07-05T09:34:16Z","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/2407.12036/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This tutorial explores the advancements and challenges in the development of Large Language Models (LLMs) such as ChatGPT and Gemini. It addresses inherent limitations like temporal knowledge cutoffs, mathematical inaccuracies, and the generation of incorrect information, proposing solutions like Retrieval Augmented Generation (RAG), Program-Aided Language Models (PAL), and frameworks such as ReAct and LangChain. The integration of these techniques enhances LLM performance and reliability, especially in multi-step reasoning and complex task execution. The paper also covers fine-tuning strategi","authors_text":"Giorgio Roffo","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-01T05:37:17Z","title":"Exploring Advanced Large Language Models with LLMsuite"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.12036","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:eec8d148f494dff992b775fbffd7fd8ed8056f98b2e574d4758f87370dd4438f","target":"record","created_at":"2026-07-05T09:34:16Z","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":"d2d1a2474b15491b0d78d6b8d43ce6b47fb9c45e46ec684101cbaceb592b4bd3","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-01T05:37:17Z","title_canon_sha256":"8a5da765e98502e8ddc2eeb803909c56a79941530bef70d717e8cceb7fed398f"},"schema_version":"1.0","source":{"id":"2407.12036","kind":"arxiv","version":2}},"canonical_sha256":"8e7d9676ed4e7c1dba021886aac007361fa7f7900909e46f795d93e57327b4c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8e7d9676ed4e7c1dba021886aac007361fa7f7900909e46f795d93e57327b4c3","first_computed_at":"2026-07-05T09:34:16.490947Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:34:16.490947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sv4niOl3Y09R5PnsXL1aOmH65gLWyacg+joNqE3IGnOqCYjGb+RkYYAPPEtrFLUNMAj7+yWq8wRYW4RGl7FGDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:34:16.491420Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.12036","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eec8d148f494dff992b775fbffd7fd8ed8056f98b2e574d4758f87370dd4438f","sha256:f497ccbe127ffe702c8f3332a6d546be13c29ff9e3f859669a528fcea4641a5f"],"state_sha256":"5c2d82626aa8e66d81c9abcac3246ee11d267b27ff472d0740369fe2e3971bbb"}