{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KMMRWJBIJB47LX7GUEGE6F2PJW","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":"a9e514ed683bf26e7a1a1aa6380ce87aa03f15682a43c40e6fd98f7f51c6bbb7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-04-24T22:31:59Z","title_canon_sha256":"7d912bc0b9d9c8aac52029459f8d419b58deb6e13fd01d8c533f4d29336476d4"},"schema_version":"1.0","source":{"id":"2304.12479","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.12479","created_at":"2026-07-05T07:55:20Z"},{"alias_kind":"arxiv_version","alias_value":"2304.12479v5","created_at":"2026-07-05T07:55:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.12479","created_at":"2026-07-05T07:55:20Z"},{"alias_kind":"pith_short_12","alias_value":"KMMRWJBIJB47","created_at":"2026-07-05T07:55:20Z"},{"alias_kind":"pith_short_16","alias_value":"KMMRWJBIJB47LX7G","created_at":"2026-07-05T07:55:20Z"},{"alias_kind":"pith_short_8","alias_value":"KMMRWJBI","created_at":"2026-07-05T07:55:20Z"}],"graph_snapshots":[{"event_id":"sha256:4a1cf14415acef331d5320aac9e28673d090a0779d8da5e3c66f7f45b1234b61","target":"graph","created_at":"2026-07-05T07:55:20Z","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/2304.12479/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial general intelligence (AGI) has gained global recognition as a future technology due to the emergence of breakthrough large language models and chatbots such as GPT-4 and ChatGPT, respectively. Compared to conventional AI models, typically designed for a limited range of tasks, demand significant amounts of domain-specific data for training and may not always consider intricate interpersonal dynamics in education. AGI, driven by the recent large pre-trained models, represents a significant leap in the capability of machines to perform tasks that require human-level intelligence, such","authors_text":"Ehsan Latif, Gengchen Mai, Guoyu Lu, Matthew Nyaaba, Ninghao Liu, Sheng Li, Tianming Liu, Xiaoming Zhai, Xuansheng Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-04-24T22:31:59Z","title":"AGI: Artificial General Intelligence for Education"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.12479","kind":"arxiv","version":5},"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":"sha256:200313edb6eaf842e429b7650cefc526eff1364d9fe704f305e211a073180116","target":"record","created_at":"2026-07-05T07:55:20Z","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":"a9e514ed683bf26e7a1a1aa6380ce87aa03f15682a43c40e6fd98f7f51c6bbb7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-04-24T22:31:59Z","title_canon_sha256":"7d912bc0b9d9c8aac52029459f8d419b58deb6e13fd01d8c533f4d29336476d4"},"schema_version":"1.0","source":{"id":"2304.12479","kind":"arxiv","version":5}},"canonical_sha256":"53191b24284879f5dfe6a10c4f174f4d8c6cc4552284c4d79fa9a507849c7065","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"53191b24284879f5dfe6a10c4f174f4d8c6cc4552284c4d79fa9a507849c7065","first_computed_at":"2026-07-05T07:55:20.978906Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:55:20.978906Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x3iVb9o9f9MOUgV7fkpmilu8wZ3b2u4nC+MNSI433d5AjX/zJhaXOTU2A8ODlnip1CqHbd+CBYmzkM4aVuZZDw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:55:20.979306Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.12479","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:200313edb6eaf842e429b7650cefc526eff1364d9fe704f305e211a073180116","sha256:4a1cf14415acef331d5320aac9e28673d090a0779d8da5e3c66f7f45b1234b61"],"state_sha256":"ec2d063296df4fa8576ee6e6762e9255be0b99eba42309828fbfb2219acef2ee"}