{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GNA426AIJAFBQK2GBIS2LIDQQS","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":"3648dae13ce11217776a7e9df5bf99c330b7052de6989279045c9992a06b7712","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-15T18:52:47Z","title_canon_sha256":"8a2b298efe15dfa0623eb85712eba65e9d393132977358ffa1cdd7e0da5acbaf"},"schema_version":"1.0","source":{"id":"2505.10653","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.10653","created_at":"2026-07-05T11:04:02Z"},{"alias_kind":"arxiv_version","alias_value":"2505.10653v1","created_at":"2026-07-05T11:04:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.10653","created_at":"2026-07-05T11:04:02Z"},{"alias_kind":"pith_short_12","alias_value":"GNA426AIJAFB","created_at":"2026-07-05T11:04:02Z"},{"alias_kind":"pith_short_16","alias_value":"GNA426AIJAFBQK2G","created_at":"2026-07-05T11:04:02Z"},{"alias_kind":"pith_short_8","alias_value":"GNA426AI","created_at":"2026-07-05T11:04:02Z"}],"graph_snapshots":[{"event_id":"sha256:5ca9225104f65a902278470bdabd87234e14f2ad237dbdbdcd5a3a58c85f3465","target":"graph","created_at":"2026-07-05T11:04:02Z","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/2505.10653/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We discuss the challenges and propose a framework for evaluating engineering artificial general intelligence (eAGI) agents. We consider eAGI as a specialization of artificial general intelligence (AGI), deemed capable of addressing a broad range of problems in the engineering of physical systems and associated controllers. We exclude software engineering for a tractable scoping of eAGI and expect dedicated software engineering AI agents to address the software implementation challenges. Similar to human engineers, eAGI agents should possess a unique blend of background knowledge (recall and re","authors_text":"Adam Nagel, Aleksa Gordic, Chandrasekar Sureshkumar, Chase Shimmin, Ethan Lew, Hieu Nguygen, Paul Eremenko, Sandeep Neema, Susmit Jha","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-15T18:52:47Z","title":"On the Evaluation of Engineering Artificial General Intelligence"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.10653","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:f22da7dcd2bf5dcccaf6b3127b77b47c5f6a9cdbd9ca237aaa5474cd22e58138","target":"record","created_at":"2026-07-05T11:04:02Z","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":"3648dae13ce11217776a7e9df5bf99c330b7052de6989279045c9992a06b7712","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-15T18:52:47Z","title_canon_sha256":"8a2b298efe15dfa0623eb85712eba65e9d393132977358ffa1cdd7e0da5acbaf"},"schema_version":"1.0","source":{"id":"2505.10653","kind":"arxiv","version":1}},"canonical_sha256":"3341cd7808480a182b460a25a5a07084a02c711f5bb6bcebc7cb42e12aa69989","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3341cd7808480a182b460a25a5a07084a02c711f5bb6bcebc7cb42e12aa69989","first_computed_at":"2026-07-05T11:04:02.956380Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:04:02.956380Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zIXcybk1Ew/xOUs7v2q7mHezTnj78n/djCWDTbX50A4JyVCk1YC4E6T+h/40oBAj6efII1LMkEqEYS+AfT+ODg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:04:02.956866Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.10653","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f22da7dcd2bf5dcccaf6b3127b77b47c5f6a9cdbd9ca237aaa5474cd22e58138","sha256:5ca9225104f65a902278470bdabd87234e14f2ad237dbdbdcd5a3a58c85f3465"],"state_sha256":"2ac4d4eacf29de0cbd01fc05f847b8100eda45371b0bbabea709fea251a1ad0e"}