{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YU3XGAMMBYGQTKN6CFT2WIZHYZ","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":"f0cdb539a4a2c4a49bfad5b118613280f8f8441bec2b76363ad3e075a903c412","cross_cats_sorted":["cs.AI","cs.IT","cs.LG","math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-27T19:35:41Z","title_canon_sha256":"8edc4eb722aa56a344a0fda8e49d18c6603fa609eb7f74374e972749f4040360"},"schema_version":"1.0","source":{"id":"2403.18969","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.18969","created_at":"2026-07-05T08:24:04Z"},{"alias_kind":"arxiv_version","alias_value":"2403.18969v2","created_at":"2026-07-05T08:24:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.18969","created_at":"2026-07-05T08:24:04Z"},{"alias_kind":"pith_short_12","alias_value":"YU3XGAMMBYGQ","created_at":"2026-07-05T08:24:04Z"},{"alias_kind":"pith_short_16","alias_value":"YU3XGAMMBYGQTKN6","created_at":"2026-07-05T08:24:04Z"},{"alias_kind":"pith_short_8","alias_value":"YU3XGAMM","created_at":"2026-07-05T08:24:04Z"}],"graph_snapshots":[{"event_id":"sha256:07502ff14adeaddec3ca62c877a9c176218d299bcedc64f92099d94df1702863","target":"graph","created_at":"2026-07-05T08:24:04Z","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/2403.18969/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in Large Language Models (LLMs), particularly those built on Transformer architectures, have significantly broadened the scope of natural language processing (NLP) applications, transcending their initial use in chatbot technology. This paper investigates the multifaceted applications of these models, with an emphasis on the GPT series. This exploration focuses on the transformative impact of artificial intelligence (AI) driven tools in revolutionizing traditional tasks like coding and problem-solving, while also paving new paths in research and development across diverse i","authors_text":"Chen Wang, Jiaqi Gong, Jin Zhao","cross_cats":["cs.AI","cs.IT","cs.LG","math.IT"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-27T19:35:41Z","title":"A Survey on Large Language Models from Concept to Implementation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.18969","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:d637cc765276a043f9a31099a57e892047a7545a57b598ab56cdae5eafe86647","target":"record","created_at":"2026-07-05T08:24:04Z","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":"f0cdb539a4a2c4a49bfad5b118613280f8f8441bec2b76363ad3e075a903c412","cross_cats_sorted":["cs.AI","cs.IT","cs.LG","math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-27T19:35:41Z","title_canon_sha256":"8edc4eb722aa56a344a0fda8e49d18c6603fa609eb7f74374e972749f4040360"},"schema_version":"1.0","source":{"id":"2403.18969","kind":"arxiv","version":2}},"canonical_sha256":"c53773018c0e0d09a9be1167ab2327c6453a38e29865cf8095897b97a4950848","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c53773018c0e0d09a9be1167ab2327c6453a38e29865cf8095897b97a4950848","first_computed_at":"2026-07-05T08:24:04.056495Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:24:04.056495Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uWbbp9CiR/ySQ42O/MtK6ep2r8Obk0/gQVLTGfTUccKzBamXg36ADGQrjC8PLXXQtrGlBgGaJZsPP8RZUlgEBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:24:04.056966Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.18969","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d637cc765276a043f9a31099a57e892047a7545a57b598ab56cdae5eafe86647","sha256:07502ff14adeaddec3ca62c877a9c176218d299bcedc64f92099d94df1702863"],"state_sha256":"19c8c3ff29b47dc0a2931147fac39b37b0c6dee9fd77aeae2640ff515f882d46"}