{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TO2VM7OCK65VGLTIEP77J6U7PE","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":"72e3121fb95211994fb0bf3ad0657def44a0ae33812df0e5837f071cc6be2d2e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2023-05-17T19:29:35Z","title_canon_sha256":"6a3dc780ec551a6c45c80d8c1ece9cadd181fb64f2ed9c5029e4192072bb8cc6"},"schema_version":"1.0","source":{"id":"2305.10530","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.10530","created_at":"2026-07-05T06:11:23Z"},{"alias_kind":"arxiv_version","alias_value":"2305.10530v1","created_at":"2026-07-05T06:11:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.10530","created_at":"2026-07-05T06:11:23Z"},{"alias_kind":"pith_short_12","alias_value":"TO2VM7OCK65V","created_at":"2026-07-05T06:11:23Z"},{"alias_kind":"pith_short_16","alias_value":"TO2VM7OCK65VGLTI","created_at":"2026-07-05T06:11:23Z"},{"alias_kind":"pith_short_8","alias_value":"TO2VM7OC","created_at":"2026-07-05T06:11:23Z"}],"graph_snapshots":[{"event_id":"sha256:3990c7ab0cdb99536245a8887d4160e639ab87dd6b6feffc3a2cbd11b7da0724","target":"graph","created_at":"2026-07-05T06:11:23Z","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/2305.10530/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automation platforms aim to automate repetitive tasks using workflows, which start with a trigger and then perform a series of actions. However, with many possible actions, the user has to search for the desired action at each step, which hinders the speed of flow development. We propose a personalized transformer model that recommends the next item at each step. This personalization is learned end-to-end from user statistics that are available at inference time. We evaluated our model on workflows from Power Automate users and show that personalization improves top-1 accuracy by 22%. For new ","authors_text":"Gust Verbruggen, Mukul Singh, Saksham Gupta, Sumit Gulwani, Vu Le","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2023-05-17T19:29:35Z","title":"Personalized action suggestions in low-code automation platforms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.10530","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:cf97430d8eb431f2cf3be2efc8d97fef5c24c7c08cf54c7e16950c45f8f2d771","target":"record","created_at":"2026-07-05T06:11:23Z","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":"72e3121fb95211994fb0bf3ad0657def44a0ae33812df0e5837f071cc6be2d2e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2023-05-17T19:29:35Z","title_canon_sha256":"6a3dc780ec551a6c45c80d8c1ece9cadd181fb64f2ed9c5029e4192072bb8cc6"},"schema_version":"1.0","source":{"id":"2305.10530","kind":"arxiv","version":1}},"canonical_sha256":"9bb5567dc257bb532e6823fff4fa9f7922fb7092114bf544705831c199e58bd5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9bb5567dc257bb532e6823fff4fa9f7922fb7092114bf544705831c199e58bd5","first_computed_at":"2026-07-05T06:11:23.423815Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:11:23.423815Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9Af4/LVgu4iNio6TPKGRuUo1Xbag8UKCY4RUGdGABTDHO4U2u8k4M3p3xZBdve2dqe0JYv22C4B4QFSYl7ZqDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:11:23.424294Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.10530","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf97430d8eb431f2cf3be2efc8d97fef5c24c7c08cf54c7e16950c45f8f2d771","sha256:3990c7ab0cdb99536245a8887d4160e639ab87dd6b6feffc3a2cbd11b7da0724"],"state_sha256":"5e57dcba63085349d4f453578a1c5a3500b7c5d85dc4bb1a4aa90825a31b51aa"}