Pith. sign in

Paper Citation Record · LEDGER

MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2406.08184.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.08184 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:51:58.047723Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b7ce1635-67ab-4504-8095-2c148589cd2c · inbound

TextAtari: 100K Frames Game Playing with Language Agents cites this paper.

TextAtari: 100K Frames Game Playing with Language Agents MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.047723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.047723Z digest=sha256:253587ce569d62d05793ec73a5f6827988295e6b82bdca5938989f0026409b52

Observation dc08f448-c10b-4727-b331-adce39e1ed8a · inbound

What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities cites this paper.

What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:02:29.269282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:02:29.269282Z digest=sha256:d41930f81d1c0065579bd18eb4a6f79766ded9f005f1a8e0bb514fb8fcaac5fb

Observation 9ed03f4d-d766-4e68-ab22-d58f885d811e · inbound

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System cites this paper.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:05.486686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:05.486686Z digest=sha256:9222ff99b9810fe69743cb5fb019a308596f3247ede46efe7edfa4598e9b6762

Observation 8277fa0c-d3c7-465f-bcbe-5fb718485389 · inbound

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey cites this paper.

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T06:00:19.388589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:00:19.388589Z digest=sha256:69648b8a917c7e25675221b8d9ceac19465f19dc53982bf23ea98d6e7a4bdb1c

Observation b0453f72-dc09-4823-8bcc-0f476db369c0 · inbound

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents cites this paper.

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T08:07:39.509245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T08:07:39.384613Z digest=sha256:9028e840be092bcf72480305502ef935d14d8a443f97452ff62a8f4e341160e0

Observation 7342fb69-da46-477a-ba31-6a96f577ef68 · inbound

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights cites this paper.

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:11.298943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:11.298943Z digest=sha256:47033096f4e4e0c691473b5f9053ddc5d607524f5728f76bbf4011c8b007bf95

Observation e8dab5f9-2e2a-445e-8ec8-310bff789f07 · inbound

Evaluation and Benchmarking of LLM Agents: A Survey cites this paper.

Evaluation and Benchmarking of LLM Agents: A Survey MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-06T12:44:21.793466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:44:21.793466Z digest=sha256:d910d1cb68a42a4540c8699ccc363ebc6d765831f47699a5dfa7552c24228d33

Observation 888e91c9-1f33-4bbf-8f10-a0f58853fe03 · inbound

VLM-3D:End-to-End Vision-Language Models for Open-World 3D Perception cites this paper.

VLM-3D:End-to-End Vision-Language Models for Open-World 3D Perception MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T21:16:59.985196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:16:59.985196Z digest=sha256:8fd0aeec9a062fe5af6fb91c96680807f2ea600347868249a58ba65fb377dd6b

Observation f23fcdb4-7672-44ba-9d72-dd78cbc56d2d · inbound

MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents cites this paper.

MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:42:48.111949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T18:42:29.744124Z digest=sha256:e95720bf308cb5a43c2dec60490019ec49acfbd95726d729244bb56d255b36a5

Observation ef74d904-99af-4f85-aee3-56bbc3fe0d1f · inbound

Measuring the Security of Mobile LLM Agents under Adversarial Prompts from Untrusted Third-Party Channels cites this paper.

Measuring the Security of Mobile LLM Agents under Adversarial Prompts from Untrusted Third-Party Channels MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-04T07:06:38.113238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:06:38.113238Z digest=sha256:82b2fd718da48f042cb233a1410b83ceed6bdf3c0fb48aef99651bbc2acaab4d

Observation 070c9ff2-1f08-4573-aac9-a8ef002f177a · inbound

AgentProg: Empowering Long-Horizon GUI Agents with Program-Guided Context Management cites this paper.

AgentProg: Empowering Long-Horizon GUI Agents with Program-Guided Context Management MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:43:42.172431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T23:42:25.086602Z digest=sha256:e4d96758d591ba71f5b64fb3a3536d1796c9736c5c6bf407acec5e9f98ed7d12

Observation 4df4d006-20f4-412f-9908-cc516f6ad466 · inbound

MobiBench: Multi-Branch, Modular Benchmark for Mobile GUI Agents cites this paper.

MobiBench: Multi-Branch, Modular Benchmark for Mobile GUI Agents MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:01:20.639942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T22:59:16.413568Z digest=sha256:2da94f1c5082f84738cbd49885e90b122ba90469f6faf3b70f3d0176fc201451

Observation cf331717-f136-4d69-ac76-921444cae6d0 · inbound

MobiBench: Multi-Branch, Modular Benchmark for Mobile GUI Agents cites this paper.

MobiBench: Multi-Branch, Modular Benchmark for Mobile GUI Agents MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T16:38:35.624433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:38:35.624433Z digest=sha256:f44f4dbae275bae418e33a375b8d476b49f3fb5f0e2432f362fad0f71c0f5d2a

Observation c3589b82-3d29-4428-9ab7-47ddc170d74c · inbound

Memory in the Age of AI Agents cites this paper.

Memory in the Age of AI Agents MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 291

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:18:20.467484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T18:18:19.911342Z digest=sha256:0b6019fe4e68b212b839b6b2cad7146f106a7a7b6a17dcea73cdd1ccf1041a33

Observation aafe968f-5e89-4895-998d-4e59416955c9 · inbound

Administrative Decentralization in Edge-Cloud Multi-Agent for Mobile Automation cites this paper.

Administrative Decentralization in Edge-Cloud Multi-Agent for Mobile Automation MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:46:12.909041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:56:59.725937Z digest=sha256:48336f0148d8107d864a4f56824907a19c89db2b39e9fdb1f14c839ffc905b5a

Observation 7e13929a-c762-4aaa-be2a-5cbd5957c27c · inbound

Do LLMs Need to See Everything? A Benchmark and Study of Failures in LLM-driven Smartphone Automation using Screentext vs. Screenshots cites this paper.

Do LLMs Need to See Everything? A Benchmark and Study of Failures in LLM-driven Smartphone Automation using Screentext vs. Screenshots MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-10T04:45:20.929042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T04:42:21.843629Z digest=sha256:42041278a1ed670b4cd9181a1c905ef130ba9e21786b24f3131966fdb1fa1382

Observation 38f13659-854a-4ea3-847e-096af0c5824f · inbound

Rethinking Side-Channel Analysis: Automated Discovery and Analysis of Side-Channel Leakage with LLM-Assisted Agents cites this paper.

Rethinking Side-Channel Analysis: Automated Discovery and Analysis of Side-Channel Leakage with LLM-Assisted Agents MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T23:37:52.662105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T23:34:25.204830Z digest=sha256:e6eda8915aa6e687338ff39302e762f2f20286019f26a45a2b090de4e3adb9b6

Observation 043cd99c-3bca-4c9e-b284-4aa0d310f242 · inbound

DocOS: Towards Proactive Document-Guided Actions in GUI Agents cites this paper.

DocOS: Towards Proactive Document-Guided Actions in GUI Agents MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:18:13.815347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T11:13:48.529796Z digest=sha256:724c47d8cb2593b247cfd67084f6bc5d022b8e068a60f46770fc0fc9882e9242

Observation 7ba422c6-d4ce-4816-86d2-b9dcdcef5634 · inbound

DocOS: Towards Proactive Document-Guided Actions in GUI Agents cites this paper.

DocOS: Towards Proactive Document-Guided Actions in GUI Agents MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 78

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T11:18:13.537381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T11:13:48.529796Z digest=sha256:f85abcb9f88579f6d828f76045cb19ece1057d30de79e5bdb50aebf637f37f0b

Observation 9463e3be-24b4-4072-8f57-d204d68ba4ef · inbound

ScaleWoB: Guiding GUI Agents with Coding Agents via Large-Scale Environmental Synthesis cites this paper.

ScaleWoB: Guiding GUI Agents with Coding Agents via Large-Scale Environmental Synthesis MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T11:04:37.686766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:57:59.013811Z digest=sha256:f9dfb2edfe103197765788501b273a0b42005d5940fc6eb99d8dd2c11ed71fff

Observation 350f6348-e505-4ef5-8df0-b7ab46575662 · inbound

PhoneBuddy: Training Open Models for Agentic Phone Use cites this paper.

PhoneBuddy: Training Open Models for Agentic Phone Use MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:59:46.513005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T08:15:49.428124Z digest=sha256:a32a1d36f6cb5411d4aefca2ca57b2aa61b3dbc69ee69edb9b393d58cb1e5174