{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KIZXJREIFH3XAYXTO7WBSNNDMQ","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":"43c220812a31427f1ec78baf002d6833737fb2e82b06bda94691cf37da4ed1aa","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-05-03T23:25:15Z","title_canon_sha256":"0935f28a83059fc4c157f314317cf0b4b52d6081b13f7d4eb36b75f1087ac6c2"},"schema_version":"1.0","source":{"id":"2405.03710","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.03710","created_at":"2026-07-05T08:16:09Z"},{"alias_kind":"arxiv_version","alias_value":"2405.03710v1","created_at":"2026-07-05T08:16:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.03710","created_at":"2026-07-05T08:16:09Z"},{"alias_kind":"pith_short_12","alias_value":"KIZXJREIFH3X","created_at":"2026-07-05T08:16:09Z"},{"alias_kind":"pith_short_16","alias_value":"KIZXJREIFH3XAYXT","created_at":"2026-07-05T08:16:09Z"},{"alias_kind":"pith_short_8","alias_value":"KIZXJREI","created_at":"2026-07-05T08:16:09Z"}],"graph_snapshots":[{"event_id":"sha256:8e149e4f5dc423652a94c2722a9610402da789dbd2b6ca491fd5b36c01c10b33","target":"graph","created_at":"2026-07-05T08:16:09Z","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/2405.03710/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automating enterprise workflows could unlock $4 trillion/year in productivity gains. Despite being of interest to the data management community for decades, the ultimate vision of end-to-end workflow automation has remained elusive. Current solutions rely on process mining and robotic process automation (RPA), in which a bot is hard-coded to follow a set of predefined rules for completing a workflow. Through case studies of a hospital and large B2B enterprise, we find that the adoption of RPA has been inhibited by high set-up costs (12-18 months), unreliable execution (60% initial accuracy), a","authors_text":"Avanika Narayan, Christopher Re, Krista Opsahl-Ong, Michael Wornow, Nigam H. Shah, Quinn McIntyre","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-05-03T23:25:15Z","title":"Automating the Enterprise with Foundation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.03710","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:ad3d0a2b623cc3290980c40883f7c35c03ea0f6b5227bf302d3069557f7f76fe","target":"record","created_at":"2026-07-05T08:16:09Z","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":"43c220812a31427f1ec78baf002d6833737fb2e82b06bda94691cf37da4ed1aa","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-05-03T23:25:15Z","title_canon_sha256":"0935f28a83059fc4c157f314317cf0b4b52d6081b13f7d4eb36b75f1087ac6c2"},"schema_version":"1.0","source":{"id":"2405.03710","kind":"arxiv","version":1}},"canonical_sha256":"523374c48829f77062f377ec1935a36404e6922cb7e9c50f23f0e8c6f140dc5f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"523374c48829f77062f377ec1935a36404e6922cb7e9c50f23f0e8c6f140dc5f","first_computed_at":"2026-07-05T08:16:09.758705Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:16:09.758705Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ynZJaRqG9biOEewSMFnk+k5X3Kg6P8WKtoLHDSMAz4cLhoGYtYyvviPBXALrpziLBeVDKSZA6UXe7/PJtHraCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:16:09.759207Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.03710","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ad3d0a2b623cc3290980c40883f7c35c03ea0f6b5227bf302d3069557f7f76fe","sha256:8e149e4f5dc423652a94c2722a9610402da789dbd2b6ca491fd5b36c01c10b33"],"state_sha256":"6f2b8ee75365208ac08d4713b606dec600c491d727bc586a9b4a37b00ba8bf94"}