{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NZSWUELRBSPELDNI7VNDPF7UTJ","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":"cbabb2802038549429b8f3fbf21abd2421a2844a6f26edec98ec8c35aee93b5b","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-16T17:22:07Z","title_canon_sha256":"d4e3cebe49e94c27bf002c6e3d7565700b24f903eb8dd8e8e486642f7ab8c1c6"},"schema_version":"1.0","source":{"id":"2606.18191","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.18191","created_at":"2026-06-19T16:12:22Z"},{"alias_kind":"arxiv_version","alias_value":"2606.18191v2","created_at":"2026-06-19T16:12:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.18191","created_at":"2026-06-19T16:12:22Z"},{"alias_kind":"pith_short_12","alias_value":"NZSWUELRBSPE","created_at":"2026-06-19T16:12:22Z"},{"alias_kind":"pith_short_16","alias_value":"NZSWUELRBSPELDNI","created_at":"2026-06-19T16:12:22Z"},{"alias_kind":"pith_short_8","alias_value":"NZSWUELR","created_at":"2026-06-19T16:12:22Z"}],"graph_snapshots":[{"event_id":"sha256:cacbda348b0355a5e7cd7fddfed00f55c3e83cacea8bac72bab83962aee934c6","target":"graph","created_at":"2026-06-19T16:12:22Z","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/2606.18191/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep research (DR) systems are increasingly used for complex information-seeking tasks, but existing works mainly focus on generating reports and summaries. In contrast, many enterprise tasks instead require an agent to identify concrete workflows which is a sequence of action-steps. For example, rather than summarizing budgeting policies, an agent should be able to determine the steps needed to answer a question such as: \"How do I request new headcount given a fixed budget?\". Therefore, we introduce DRFLOW, a benchmark for evaluating personalized workflows predicted by agents from heterogeneo","authors_text":"Issam H. Laradji, Laks V. S. Lakshmanan, Md Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Raymond Li","cross_cats":["cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-16T17:22:07Z","title":"DRFLOW: A Deep Research Benchmark for Personalized Workflow Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.18191","kind":"arxiv","version":2},"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":"sha256:3fbbac1fd1109079b1452569a708f152714fdd9fbaff65d1a1a1d4660e0412bf","target":"record","created_at":"2026-06-19T16:12:22Z","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":"cbabb2802038549429b8f3fbf21abd2421a2844a6f26edec98ec8c35aee93b5b","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-16T17:22:07Z","title_canon_sha256":"d4e3cebe49e94c27bf002c6e3d7565700b24f903eb8dd8e8e486642f7ab8c1c6"},"schema_version":"1.0","source":{"id":"2606.18191","kind":"arxiv","version":2}},"canonical_sha256":"6e656a11710c9e458da8fd5a3797f49a561af18ea820c814edaf41365d5fdda3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e656a11710c9e458da8fd5a3797f49a561af18ea820c814edaf41365d5fdda3","first_computed_at":"2026-06-19T16:12:22.023506Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:12:22.023506Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"q0pZqsQdefAZQ4h/HmGp7x+94ynB2iGnNGGE7W6cT1sm3vGp2yl19tPoDt9yXryalub62g4dcknAcWHZ4Fr6BA==","signature_status":"signed_v1","signed_at":"2026-06-19T16:12:22.023849Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.18191","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3fbbac1fd1109079b1452569a708f152714fdd9fbaff65d1a1a1d4660e0412bf","sha256:cacbda348b0355a5e7cd7fddfed00f55c3e83cacea8bac72bab83962aee934c6"],"state_sha256":"8254c3ff79e0ed284411122a7a3137c691f83a907d0d84dc4c25ff774d41cf45"}