{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EPI7RSMIPCGGZDJOXMHFW5OIAW","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":"6f26190b350211b89c97eec3a3918cc1fea4c11d798946f28c2a1e2ff3387735","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-09-29T16:30:49Z","title_canon_sha256":"75c5d09422fbcbd0f825ff6ba67e0e570081b4c6cfd6cb1b74fe8b6d4f120b59"},"schema_version":"1.0","source":{"id":"2310.01434","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.01434","created_at":"2026-07-05T06:56:40Z"},{"alias_kind":"arxiv_version","alias_value":"2310.01434v1","created_at":"2026-07-05T06:56:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.01434","created_at":"2026-07-05T06:56:40Z"},{"alias_kind":"pith_short_12","alias_value":"EPI7RSMIPCGG","created_at":"2026-07-05T06:56:40Z"},{"alias_kind":"pith_short_16","alias_value":"EPI7RSMIPCGGZDJO","created_at":"2026-07-05T06:56:40Z"},{"alias_kind":"pith_short_8","alias_value":"EPI7RSMI","created_at":"2026-07-05T06:56:40Z"}],"graph_snapshots":[{"event_id":"sha256:b5ddd317ab4800a1b77af02f763d1ea8183146cec47b525494082e70389e5114","target":"graph","created_at":"2026-07-05T06:56:40Z","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/2310.01434/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The field of Artificial Intelligence has witnessed remarkable progress in recent years, especially with the emergence of powerful large language models (LLMs) based on the transformer architecture. Cloud-based LLMs, such as OpenAI's ChatGPT, offer impressive capabilities but come with concerns regarding latency and privacy due to network dependencies. This article presents an innovative approach to LLM inference, envisioning a future where LLMs with billions of parameters can be executed directly on mobile devices without network connectivity. The article showcases a fine-tuned GPT LLM with 3 ","authors_text":"Carlos Grilo, Jos\\'e Ribeiro, Samuel Carreira, Tom\\'as Marques","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-09-29T16:30:49Z","title":"Revolutionizing Mobile Interaction: Enabling a 3 Billion Parameter GPT LLM on Mobile"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.01434","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":"sha256:3ea8f3bb1726f0b9eacc68db8cdc9f3c952a11efbc048a617d581644ad189f58","target":"record","created_at":"2026-07-05T06:56:40Z","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":"6f26190b350211b89c97eec3a3918cc1fea4c11d798946f28c2a1e2ff3387735","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-09-29T16:30:49Z","title_canon_sha256":"75c5d09422fbcbd0f825ff6ba67e0e570081b4c6cfd6cb1b74fe8b6d4f120b59"},"schema_version":"1.0","source":{"id":"2310.01434","kind":"arxiv","version":1}},"canonical_sha256":"23d1f8c988788c6c8d2ebb0e5b75c80598b5bfa0bb8c2ff99574318d6ee8ceed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"23d1f8c988788c6c8d2ebb0e5b75c80598b5bfa0bb8c2ff99574318d6ee8ceed","first_computed_at":"2026-07-05T06:56:40.247792Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:56:40.247792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GHLDFRYZwdMh7dwc8v73MXDQZe937kw19RW8SqxNn5VGkAscRBgKMpPh3CwkUOQYpX6kLnc2PjWIMG9MHyBaCA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:56:40.248271Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.01434","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ea8f3bb1726f0b9eacc68db8cdc9f3c952a11efbc048a617d581644ad189f58","sha256:b5ddd317ab4800a1b77af02f763d1ea8183146cec47b525494082e70389e5114"],"state_sha256":"140efcc7d651f9ef73b892579d758ddd15aba32917641d8d0c889884848ab7b6"}