{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:KITT7Y6V25B77XH2C6LEEYJTZT","short_pith_number":"pith:KITT7Y6V","schema_version":"1.0","canonical_sha256":"52273fe3d5d743ffdcfa1796426133ccc71bddd520c7568f289d51caeff8cbde","source":{"kind":"arxiv","id":"2509.03891","version":1},"attestation_state":"computed","paper":{"title":"MobileRAG: Enhancing Mobile Agent with Retrieval-Augmented Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.CL","authors_text":"Chang Liu, Gowen Loo, Jiawei Chen, Jingyuan Zhang, Qinghong Yin, Xiang Chen, Yu Tian","submitted_at":"2025-09-04T05:22:42Z","abstract_excerpt":"Smartphones have become indispensable in people's daily lives, permeating nearly every aspect of modern society. With the continuous advancement of large language models (LLMs), numerous LLM-based mobile agents have emerged. These agents are capable of accurately parsing diverse user queries and automatically assisting users in completing complex or repetitive operations. However, current agents 1) heavily rely on the comprehension ability of LLMs, which can lead to errors caused by misoperations or omitted steps during tasks, 2) lack interaction with the external environment, often terminatin"},"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":"2509.03891","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-04T05:22:42Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"bdd7cfd602127073e754bcdc4a3e5c782fe09e172aa55ecee616ac955aa362f4","abstract_canon_sha256":"fe4d6928629c4a3abcae0ff482f5398084b0d4eea33078564ce8904fa22f51d5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:04:49.220945Z","signature_b64":"GqQUP70EDSG7gbFd0ZMYE8R3el9JYtvOzhO3mORW0t4JLKOsxvLvoh4lOY9k+xyxQAqgHhewSRzhKssu+bpECA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"52273fe3d5d743ffdcfa1796426133ccc71bddd520c7568f289d51caeff8cbde","last_reissued_at":"2026-07-05T12:04:49.220405Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:04:49.220405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MobileRAG: Enhancing Mobile Agent with Retrieval-Augmented Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.CL","authors_text":"Chang Liu, Gowen Loo, Jiawei Chen, Jingyuan Zhang, Qinghong Yin, Xiang Chen, Yu Tian","submitted_at":"2025-09-04T05:22:42Z","abstract_excerpt":"Smartphones have become indispensable in people's daily lives, permeating nearly every aspect of modern society. With the continuous advancement of large language models (LLMs), numerous LLM-based mobile agents have emerged. These agents are capable of accurately parsing diverse user queries and automatically assisting users in completing complex or repetitive operations. However, current agents 1) heavily rely on the comprehension ability of LLMs, which can lead to errors caused by misoperations or omitted steps during tasks, 2) lack interaction with the external environment, often terminatin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03891","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/2509.03891/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":"2509.03891","created_at":"2026-07-05T12:04:49.220477+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.03891v1","created_at":"2026-07-05T12:04:49.220477+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03891","created_at":"2026-07-05T12:04:49.220477+00:00"},{"alias_kind":"pith_short_12","alias_value":"KITT7Y6V25B7","created_at":"2026-07-05T12:04:49.220477+00:00"},{"alias_kind":"pith_short_16","alias_value":"KITT7Y6V25B77XH2","created_at":"2026-07-05T12:04:49.220477+00:00"},{"alias_kind":"pith_short_8","alias_value":"KITT7Y6V","created_at":"2026-07-05T12:04:49.220477+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/KITT7Y6V25B77XH2C6LEEYJTZT","json":"https://pith.science/pith/KITT7Y6V25B77XH2C6LEEYJTZT.json","graph_json":"https://pith.science/api/pith-number/KITT7Y6V25B77XH2C6LEEYJTZT/graph.json","events_json":"https://pith.science/api/pith-number/KITT7Y6V25B77XH2C6LEEYJTZT/events.json","paper":"https://pith.science/paper/KITT7Y6V"},"agent_actions":{"view_html":"https://pith.science/pith/KITT7Y6V25B77XH2C6LEEYJTZT","download_json":"https://pith.science/pith/KITT7Y6V25B77XH2C6LEEYJTZT.json","view_paper":"https://pith.science/paper/KITT7Y6V","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.03891&json=true","fetch_graph":"https://pith.science/api/pith-number/KITT7Y6V25B77XH2C6LEEYJTZT/graph.json","fetch_events":"https://pith.science/api/pith-number/KITT7Y6V25B77XH2C6LEEYJTZT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KITT7Y6V25B77XH2C6LEEYJTZT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KITT7Y6V25B77XH2C6LEEYJTZT/action/storage_attestation","attest_author":"https://pith.science/pith/KITT7Y6V25B77XH2C6LEEYJTZT/action/author_attestation","sign_citation":"https://pith.science/pith/KITT7Y6V25B77XH2C6LEEYJTZT/action/citation_signature","submit_replication":"https://pith.science/pith/KITT7Y6V25B77XH2C6LEEYJTZT/action/replication_record"}},"created_at":"2026-07-05T12:04:49.220477+00:00","updated_at":"2026-07-05T12:04:49.220477+00:00"}