{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:5SBAPLRWDOPZBCHBLJGAMZJ55H","short_pith_number":"pith:5SBAPLRW","schema_version":"1.0","canonical_sha256":"ec8207ae361b9f9088e15a4c06653de9ea94d4f98d59223cbc859e22dfe1a294","source":{"kind":"arxiv","id":"2607.22689","version":1},"attestation_state":"computed","paper":{"title":"Beyond Sequential Interaction: Benchmarking Parallel Execution and Coordination for GUI Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chenrui Shi, Huiming Wu, Liuyu Xiang, Qianxing Li, Yang Liu, Yubo Fu, Yuhao Fei, Yujie Wei, Zedong Yu, Zhaofeng He, Zhi Gao","submitted_at":"2026-07-17T12:48:03Z","abstract_excerpt":"Graphical user interface (GUI) agents are systems powered by large multimodal models (LMMs). They perceive screen state and execute user instructions through GUI actions such as clicking, typing, and scrolling on desktops and mobile devices. However, current agents scale poorly to long-horizon tasks: actions incur costly LMM inferences, and performance degrades as context grows. Humans divide such workloads among collaborators who complete sub-tasks in parallel. Yet parallel coordination among GUI agents has received little attention. To close this gap, we introduce ParaGUIBench, to our knowle"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.22689","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-17T12:48:03Z","cross_cats_sorted":[],"title_canon_sha256":"efa631d85a803ad96ae3530883a8792d957acdd43307e8bdf5510938f5cc8fe8","abstract_canon_sha256":"35a3b78d232d5f8bdb61a48406bb475ee15425503fa8debb878421db6dc277df"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T00:21:49.230478Z","signature_b64":"KuRt3uvLXL8Kr++RkPdXSlHW1VX7/k81EK8KYWXCBo2dBLt8Ta7zM768c9e3Ei3aAbehysMBtSAmlpyqC+sMDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ec8207ae361b9f9088e15a4c06653de9ea94d4f98d59223cbc859e22dfe1a294","last_reissued_at":"2026-07-28T00:21:49.229628Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T00:21:49.229628Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Beyond Sequential Interaction: Benchmarking Parallel Execution and Coordination for GUI Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chenrui Shi, Huiming Wu, Liuyu Xiang, Qianxing Li, Yang Liu, Yubo Fu, Yuhao Fei, Yujie Wei, Zedong Yu, Zhaofeng He, Zhi Gao","submitted_at":"2026-07-17T12:48:03Z","abstract_excerpt":"Graphical user interface (GUI) agents are systems powered by large multimodal models (LMMs). They perceive screen state and execute user instructions through GUI actions such as clicking, typing, and scrolling on desktops and mobile devices. However, current agents scale poorly to long-horizon tasks: actions incur costly LMM inferences, and performance degrades as context grows. Humans divide such workloads among collaborators who complete sub-tasks in parallel. Yet parallel coordination among GUI agents has received little attention. To close this gap, we introduce ParaGUIBench, to our knowle"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22689","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.22689/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.22689","created_at":"2026-07-28T00:21:49.230068+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.22689v1","created_at":"2026-07-28T00:21:49.230068+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22689","created_at":"2026-07-28T00:21:49.230068+00:00"},{"alias_kind":"pith_short_12","alias_value":"5SBAPLRWDOPZ","created_at":"2026-07-28T00:21:49.230068+00:00"},{"alias_kind":"pith_short_16","alias_value":"5SBAPLRWDOPZBCHB","created_at":"2026-07-28T00:21:49.230068+00:00"},{"alias_kind":"pith_short_8","alias_value":"5SBAPLRW","created_at":"2026-07-28T00:21:49.230068+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5SBAPLRWDOPZBCHBLJGAMZJ55H","json":"https://pith.science/pith/5SBAPLRWDOPZBCHBLJGAMZJ55H.json","graph_json":"https://pith.science/api/pith-number/5SBAPLRWDOPZBCHBLJGAMZJ55H/graph.json","events_json":"https://pith.science/api/pith-number/5SBAPLRWDOPZBCHBLJGAMZJ55H/events.json","paper":"https://pith.science/paper/5SBAPLRW"},"agent_actions":{"view_html":"https://pith.science/pith/5SBAPLRWDOPZBCHBLJGAMZJ55H","download_json":"https://pith.science/pith/5SBAPLRWDOPZBCHBLJGAMZJ55H.json","view_paper":"https://pith.science/paper/5SBAPLRW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.22689&json=true","fetch_graph":"https://pith.science/api/pith-number/5SBAPLRWDOPZBCHBLJGAMZJ55H/graph.json","fetch_events":"https://pith.science/api/pith-number/5SBAPLRWDOPZBCHBLJGAMZJ55H/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5SBAPLRWDOPZBCHBLJGAMZJ55H/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5SBAPLRWDOPZBCHBLJGAMZJ55H/action/storage_attestation","attest_author":"https://pith.science/pith/5SBAPLRWDOPZBCHBLJGAMZJ55H/action/author_attestation","sign_citation":"https://pith.science/pith/5SBAPLRWDOPZBCHBLJGAMZJ55H/action/citation_signature","submit_replication":"https://pith.science/pith/5SBAPLRWDOPZBCHBLJGAMZJ55H/action/replication_record"}},"created_at":"2026-07-28T00:21:49.230068+00:00","updated_at":"2026-07-28T00:21:49.230068+00:00"}