{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RLFP6XMPRGFGVT54RRETDGU2KJ","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":"498f9acfe3654f50bbfd5b4028cddf584f5b5b36eba147a9152f34ed816caccb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-11T08:00:24Z","title_canon_sha256":"2adc3c99d43858e0dad53774ed1df1a050a866eeb352a1ebb624467658483fa1"},"schema_version":"1.0","source":{"id":"2501.06471","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.06471","created_at":"2026-07-05T10:00:03Z"},{"alias_kind":"arxiv_version","alias_value":"2501.06471v1","created_at":"2026-07-05T10:00:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.06471","created_at":"2026-07-05T10:00:03Z"},{"alias_kind":"pith_short_12","alias_value":"RLFP6XMPRGFG","created_at":"2026-07-05T10:00:03Z"},{"alias_kind":"pith_short_16","alias_value":"RLFP6XMPRGFGVT54","created_at":"2026-07-05T10:00:03Z"},{"alias_kind":"pith_short_8","alias_value":"RLFP6XMP","created_at":"2026-07-05T10:00:03Z"}],"graph_snapshots":[{"event_id":"sha256:a48a7f95406cfbc73246de3b684e9bd5555e9a05fe87c36d0857069556b3e04d","target":"graph","created_at":"2026-07-05T10:00:03Z","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/2501.06471/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper explores the multi-dimensional challenges faced during the development of Large Language Models (LLMs), including the massive scale of model parameters and file sizes, the complexity of development environment configuration, the singularity of model functionality, and the high costs of computational resources. To address these challenges, this paper proposes three core technical solutions: LLM sharing protocol, LLM universal environment framework, and Agent optimal path module. To solve the computational resource constraints in the early stages of research, we further innovatively p","authors_text":"Nicholas Chen, Wilson Wei, Yuxuan Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-11T08:00:24Z","title":"The Internet of Large Language Models: An Orchestration Framework for LLM Training and Knowledge Exchange Toward Artificial General Intelligence"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.06471","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:b03c48bd6e2163560b8d5300d1f93c34c0a70f7431518f0ba854801d7c6b0610","target":"record","created_at":"2026-07-05T10:00:03Z","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":"498f9acfe3654f50bbfd5b4028cddf584f5b5b36eba147a9152f34ed816caccb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-11T08:00:24Z","title_canon_sha256":"2adc3c99d43858e0dad53774ed1df1a050a866eeb352a1ebb624467658483fa1"},"schema_version":"1.0","source":{"id":"2501.06471","kind":"arxiv","version":1}},"canonical_sha256":"8acaff5d8f898a6acfbc8c49319a9a524a0f15da931a2f3e43394c8dcd16ccb6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8acaff5d8f898a6acfbc8c49319a9a524a0f15da931a2f3e43394c8dcd16ccb6","first_computed_at":"2026-07-05T10:00:03.990218Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:00:03.990218Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OdZYafcDZYPcqBDvdjwCdqOTwOfNxW692FYwCeHUmS/4+PzmpnCMuV2In7OIiNKATJFvjEKq37/bmIJjc3RqCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:00:03.990748Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.06471","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b03c48bd6e2163560b8d5300d1f93c34c0a70f7431518f0ba854801d7c6b0610","sha256:a48a7f95406cfbc73246de3b684e9bd5555e9a05fe87c36d0857069556b3e04d"],"state_sha256":"4b88e334ca7b05055c0737fa5dda1a15be70f1545a212abce4a851d9016891b7"}