{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:IEAJIHSD5P4LTEQXL34GC4GARB","short_pith_number":"pith:IEAJIHSD","schema_version":"1.0","canonical_sha256":"4100941e43ebf8b992175ef86170c088699f5ef052fae27bc738d6cf40a92647","source":{"kind":"arxiv","id":"2606.19926","version":1},"attestation_state":"computed","paper":{"title":"MemGUI-Agent: An End-to-End Long-Horizon Mobile GUI Agent with Proactive Context Management","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Congxiao Liu, Gao Wu, Guangyi Liu, Liang Guo, Liang Liu, Mading Li, Mengyan Wang, Pengxiang Zhao, Qi Zhang, Yong Liu","submitted_at":"2026-06-18T08:26:09Z","abstract_excerpt":"MLLM-based mobile GUI agents have made substantial progress on short-horizon tasks, yet remain unreliable on long-horizon tasks that require retaining intermediate facts across many steps and app transitions. We attribute this limitation to ReAct-style prompting, which passively accumulates per-step records, leading to prompt explosion and dilution of critical cross-app facts. To address this, we introduce MemGUI-Agent, an end-to-end long-horizon mobile GUI agent with proactive context management. MemGUI-Agent is built on Context-as-Action (ConAct), which casts context management as first-clas"},"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":"2606.19926","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-06-18T08:26:09Z","cross_cats_sorted":[],"title_canon_sha256":"62ada6dabafad52d229aa3c96d5bad64343b28bcd55d6d25273d45108b8653c8","abstract_canon_sha256":"7b4219b244b9b09e42f3c2b9d5d284bf412df2d3673cb5a57efaac25fc982ad0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:38.887471Z","signature_b64":"DJZpRwgUpI/K4oJZyc6lxBDkmCjpU1ulSKKkRIcyrKCCo7i9cY4FB0wJD1rKQ5dSh1b3OizAm7LlwisvrRb4Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4100941e43ebf8b992175ef86170c088699f5ef052fae27bc738d6cf40a92647","last_reissued_at":"2026-06-19T16:12:38.887069Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:38.887069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MemGUI-Agent: An End-to-End Long-Horizon Mobile GUI Agent with Proactive Context Management","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Congxiao Liu, Gao Wu, Guangyi Liu, Liang Guo, Liang Liu, Mading Li, Mengyan Wang, Pengxiang Zhao, Qi Zhang, Yong Liu","submitted_at":"2026-06-18T08:26:09Z","abstract_excerpt":"MLLM-based mobile GUI agents have made substantial progress on short-horizon tasks, yet remain unreliable on long-horizon tasks that require retaining intermediate facts across many steps and app transitions. We attribute this limitation to ReAct-style prompting, which passively accumulates per-step records, leading to prompt explosion and dilution of critical cross-app facts. To address this, we introduce MemGUI-Agent, an end-to-end long-horizon mobile GUI agent with proactive context management. MemGUI-Agent is built on Context-as-Action (ConAct), which casts context management as first-clas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19926","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/2606.19926/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":"2606.19926","created_at":"2026-06-19T16:12:38.887131+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.19926v1","created_at":"2026-06-19T16:12:38.887131+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19926","created_at":"2026-06-19T16:12:38.887131+00:00"},{"alias_kind":"pith_short_12","alias_value":"IEAJIHSD5P4L","created_at":"2026-06-19T16:12:38.887131+00:00"},{"alias_kind":"pith_short_16","alias_value":"IEAJIHSD5P4LTEQX","created_at":"2026-06-19T16:12:38.887131+00:00"},{"alias_kind":"pith_short_8","alias_value":"IEAJIHSD","created_at":"2026-06-19T16:12:38.887131+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/IEAJIHSD5P4LTEQXL34GC4GARB","json":"https://pith.science/pith/IEAJIHSD5P4LTEQXL34GC4GARB.json","graph_json":"https://pith.science/api/pith-number/IEAJIHSD5P4LTEQXL34GC4GARB/graph.json","events_json":"https://pith.science/api/pith-number/IEAJIHSD5P4LTEQXL34GC4GARB/events.json","paper":"https://pith.science/paper/IEAJIHSD"},"agent_actions":{"view_html":"https://pith.science/pith/IEAJIHSD5P4LTEQXL34GC4GARB","download_json":"https://pith.science/pith/IEAJIHSD5P4LTEQXL34GC4GARB.json","view_paper":"https://pith.science/paper/IEAJIHSD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.19926&json=true","fetch_graph":"https://pith.science/api/pith-number/IEAJIHSD5P4LTEQXL34GC4GARB/graph.json","fetch_events":"https://pith.science/api/pith-number/IEAJIHSD5P4LTEQXL34GC4GARB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IEAJIHSD5P4LTEQXL34GC4GARB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IEAJIHSD5P4LTEQXL34GC4GARB/action/storage_attestation","attest_author":"https://pith.science/pith/IEAJIHSD5P4LTEQXL34GC4GARB/action/author_attestation","sign_citation":"https://pith.science/pith/IEAJIHSD5P4LTEQXL34GC4GARB/action/citation_signature","submit_replication":"https://pith.science/pith/IEAJIHSD5P4LTEQXL34GC4GARB/action/replication_record"}},"created_at":"2026-06-19T16:12:38.887131+00:00","updated_at":"2026-06-19T16:12:38.887131+00:00"}