{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ETKLL24FYHTF5TXLFCVUXUQOHT","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":"d0da368f98cdf25ac167fad87b06ba86f1b01885541e0f090a7b9a6e0368cee1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-12-19T16:40:41Z","title_canon_sha256":"af5309760aeb1fa621137993b3a52cde61361014d07f57e530e9cf1c01eabb89"},"schema_version":"1.0","source":{"id":"2412.15030","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15030","created_at":"2026-07-05T09:51:57Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15030v1","created_at":"2026-07-05T09:51:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15030","created_at":"2026-07-05T09:51:57Z"},{"alias_kind":"pith_short_12","alias_value":"ETKLL24FYHTF","created_at":"2026-07-05T09:51:57Z"},{"alias_kind":"pith_short_16","alias_value":"ETKLL24FYHTF5TXL","created_at":"2026-07-05T09:51:57Z"},{"alias_kind":"pith_short_8","alias_value":"ETKLL24F","created_at":"2026-07-05T09:51:57Z"}],"graph_snapshots":[{"event_id":"sha256:31495fc4c1a040221e43024326f0620f9444c83b500274b2615794dee8aae42f","target":"graph","created_at":"2026-07-05T09:51:57Z","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/2412.15030/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative AI, with its tendency to \"hallucinate\" incorrect results, may pose a risk to knowledge work by introducing errors. On the other hand, it may also provide unprecedented opportunities for users, particularly non-experts, to learn and apply advanced software features and greatly increase the scope and complexity of tasks they can successfully achieve.\n  As an example of a complex knowledge workflow that is subject to risks and opportunities from generative AI, we consider the spreadsheet. AI hallucinations are an important challenge, but they are not the greatest risk posed by generati","authors_text":"Advait Sarkar, Christian Poelitz, Ian Drosos, Neil Toronto, Xiaotong (Tone) Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-12-19T16:40:41Z","title":"When Copilot Becomes Autopilot: Generative AI's Critical Risk to Knowledge Work and a Critical Solution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15030","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":"sha256:00798e39c2768773556dbf64b9cc0e46afe2a0796067462e1a23f3ffdc27f8d8","target":"record","created_at":"2026-07-05T09:51:57Z","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":"d0da368f98cdf25ac167fad87b06ba86f1b01885541e0f090a7b9a6e0368cee1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-12-19T16:40:41Z","title_canon_sha256":"af5309760aeb1fa621137993b3a52cde61361014d07f57e530e9cf1c01eabb89"},"schema_version":"1.0","source":{"id":"2412.15030","kind":"arxiv","version":1}},"canonical_sha256":"24d4b5eb85c1e65eceeb28ab4bd20e3cf797c44c3f18019b3f9384722dfc1a58","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24d4b5eb85c1e65eceeb28ab4bd20e3cf797c44c3f18019b3f9384722dfc1a58","first_computed_at":"2026-07-05T09:51:57.146667Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:57.146667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x4yNFEfeWmfAAiELUKLRolfK/+a2VUCy6P/TnOMtVomO8M10vmpEoULcefVx8WT5WM6bROXiOa0CZdqJ/kIEAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:57.147192Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.15030","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:00798e39c2768773556dbf64b9cc0e46afe2a0796067462e1a23f3ffdc27f8d8","sha256:31495fc4c1a040221e43024326f0620f9444c83b500274b2615794dee8aae42f"],"state_sha256":"556da5ed59062110d9e3f5b3d58ee3d02eb8164929e34b6aee239c5458563e75"}