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Paper Citation Record · LEDGER

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System

As of 7 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2506.08972.

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

pith.paper-citation-record.v1
2506.08972 v1

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:04:05.654823Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

74 of 74 outbound references displayed

  • verified exact3
  • verified fuzzy9
  • unresolved61
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f4ff667-7f8e-4e39-9f61-4d8404fd49f8 · outbound

This paper cites Large Language Model-Brained GUI Agents: A Survey.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Large Language Model-Brained GUI Agents: A Survey

Reference 1

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source=pdf_text observed=2026-08-07T05:04:02.377770Z digest=sha256:df13c4c72b60ed4d370f31150391c4d2233f8d03a728599c324417e805cb9065

Observation 891f9527-f04c-47c5-8b57-4a91bd121ae4 · outbound

This paper cites Llm-powered gui agents in phone automation: Surveying progress and prospects.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Llm-powered gui agents in phone automation: Surveying progress and prospects

Reference 2

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source=pdf_text observed=2026-08-07T05:04:02.433247Z digest=sha256:85031f2b9e921fa07e75e623c6aa343b07adce21f805ec2f5f66b0e5a091ff12

Observation 36c978c8-0249-4332-8cac-4260bcc46b88 · outbound

This paper cites Gui agents: A survey.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Gui agents: A survey

Reference 3

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source=pdf_text observed=2026-08-07T05:04:02.470904Z digest=sha256:4f67ea1f758aeb63549196f1ccf56e8c7d9571092065caaa6d13df6dda70c943

Observation 5e4fadc6-cf70-47c9-8ef3-989230462b0f · outbound

This paper cites Os agents: A survey on mllm-based agents for general computing devices use, 2024.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Os agents: A survey on mllm-based agents for general computing devices use, 2024

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:06.848246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:02.550846Z digest=sha256:89123be2243363eb75ed6ed7f01a527e31d4cf61ba5ab92c08315dfe7840b468

Observation a389405f-d6d2-41a5-ba91-eac919a21c7c · outbound

This paper cites GUI Agents with Foundation Models: A Comprehensive Survey.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System GUI Agents with Foundation Models: A Comprehensive Survey

Reference 5

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source=pdf_text observed=2026-08-07T05:04:02.622402Z digest=sha256:c529f8ed42a892a6b55001d262950b7aab4a2121cc9666add186bbc614ad86a7

Observation e3d773ef-5b92-40cf-8a11-0faa6e9b0f1d · outbound

This paper cites DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:02.686260Z digest=sha256:3c284b765ed88fc82446bc3e9221dbecf618d7ec3abc0cd176634e34303ace48

Observation 5213041a-cf8b-4029-9cf7-85175976ba64 · outbound

This paper cites DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents

Reference 7

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source=pdf_text observed=2026-08-07T05:04:02.738997Z digest=sha256:f09ef43da45506a59a3bbaa79b9728418c44462156e45c60de52f3ac70a5e8a1

Observation 0e989823-9bf0-4c1f-b683-dfd68a6782dc · outbound

This paper cites AutoGLM: Autonomous Foundation Agents for GUIs.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System AutoGLM: Autonomous Foundation Agents for GUIs

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:02.811222Z digest=sha256:84a265d3731860ba3a00a5bc3c0fa8fa5a2a26702155d0b6704549b9e506113a

Observation 29203d0a-fcd6-4afb-bf6f-3075693da4fa · outbound

This paper cites UI-TARS: Pioneering Automated GUI Interaction with Native Agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 9

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source=pdf_text observed=2026-08-07T05:04:02.888261Z digest=sha256:f68f01e72a9c14f34e728e274016cbfc437f540d0b57f568e4c7c806fc8d2c1e

Observation 66a511c6-0827-4dd9-9b53-93e4302e286b · outbound

This paper cites AppAgentX: Evolving GUI Agents as Proficient Smartphone Users.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System AppAgentX: Evolving GUI Agents as Proficient Smartphone Users

Reference 10

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source=pdf_text observed=2026-08-07T05:04:02.955352Z digest=sha256:828640d0b5928f71a5ce26b11e19c02c1ff026d60dc9d0281e7b40dbcc27c304

Observation 783a232b-79b3-4399-a242-1b6fe0731582 · outbound

This paper cites OS-ATLAS: A Foundation Action Model for Generalist GUI Agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System OS-ATLAS: A Foundation Action Model for Generalist GUI Agents

Reference 11

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source=pdf_text observed=2026-08-07T05:04:03.027676Z digest=sha256:f269cb414a75ffddc66750d09154d9d0c9afaf59c85234c6b267d4a58ce61fe6

Observation 7cc582b9-e2ed-4e17-ab79-de222054ff5c · outbound

This paper cites Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents

Reference 12

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:04:03.096089Z digest=sha256:aef98226a91ca3b4ee86dd1f831935c38e81244e592dff8cea524be64ecdcc01

Observation 9bccfc80-3530-4a39-9636-30ef7e5be0e8 · outbound

This paper cites A3: Android agent arena for mobile gui agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System A3: Android agent arena for mobile gui agents

Reference 13

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source=pdf_text observed=2026-08-07T05:04:03.156620Z digest=sha256:c3d3e294e4fdc1b64f3c1cfb01a044f93005332a1b1906880e764336c4fb46ff

Observation 1cb98f84-0cca-49b2-90dc-bdd3b09d8f1e · outbound

This paper cites AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

Reference 14

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source=pdf_text observed=2026-08-07T05:04:03.238577Z digest=sha256:3c364af07b7dfbdb19d369f2c4b78a6de40ab842916667cb35f139c521b6e90a

Observation 78fc35ad-43b9-4c9b-a03c-fdd48555b02b · outbound

This paper cites AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents

Reference 15

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source=pdf_text observed=2026-08-07T05:04:03.289818Z digest=sha256:0f2f86f0501d587676eef8e1d4f6ce18d1eedffbba34fae0f8b3304b9b141936

Observation 06e469b1-8c5d-423b-9e53-38821d72c876 · outbound

This paper cites An- droidinthewild: A large-scale dataset for android device control.Advances in Neural Information Processing Systems, 36, 2024.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System An- droidinthewild: A large-scale dataset for android device control.Advances in Neural Information Processing Systems, 36, 2024

Reference 16

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source=pdf_text observed=2026-08-07T05:04:03.353342Z digest=sha256:74879e20f8ae91d9303f3d04c335f92679bc93c3b270f84a4b3d5e3722f53e2c

Observation 9dd1ac17-6417-40d8-a34c-5fe592090746 · outbound

This paper cites You Only Look at Screens: Multimodal Chain-of-Action Agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System You Only Look at Screens: Multimodal Chain-of-Action Agents

Reference 17

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source=pdf_text observed=2026-08-07T05:04:03.408143Z digest=sha256:8676c7abd980b47b1a828ecf2c4436ccdc15227f502103de85fc8cb922a94068

Observation e120fe4f-0829-4923-bad0-593c9ab534ce · outbound

This paper cites Ferret-ui: Grounded mobile ui understanding with multimodal llms.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Ferret-ui: Grounded mobile ui understanding with multimodal llms

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-07T05:04:06.831154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:03.467121Z digest=sha256:9194bb38b07e2208306213d3cfa35c9db458ee82fa242ec39219c896fe5792b9

Observation affe60fd-f599-41ed-a713-79b51a63b366 · outbound

This paper cites On the effects of data scale on computer control agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System On the effects of data scale on computer control agents

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:03.563320Z digest=sha256:93de9c3b5e2876fe177997a82c6602c530f5450cd2e32339a8764894b22ca465

Observation 7a6ac3c1-69d2-43b3-bc0a-3423c7de5130 · outbound

This paper cites SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents

Reference 20

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source=pdf_text observed=2026-08-07T05:04:03.636959Z digest=sha256:a8d70d8947f6d354f1a17dc6a61cbbdda8fc88c696729e96c4a9764b9af076f2

Observation 8ab96405-d688-47e8-9a67-e88bf182d052 · outbound

This paper cites Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents

Reference 21

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source=pdf_text observed=2026-08-07T05:04:03.689317Z digest=sha256:027213109bcb656c81bcd25a0e00b95250b57dd2df8f7d605b9ad16283d2854d

Observation 25b3ad38-83d4-4f0b-9988-8040f38dff3a · outbound

This paper cites AppAgent: Multimodal Agents as Smartphone Users.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System AppAgent: Multimodal Agents as Smartphone Users

Reference 22

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source=pdf_text observed=2026-08-07T05:04:03.736172Z digest=sha256:4b350952f152f347128391709bd0d3e601101e524acddc39c4fca69cb00ca70e

Observation 8b2aa62d-05de-46b3-8511-b1c988b23ef2 · outbound

This paper cites Autodroid: Llm-powered task automation in android.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Autodroid: Llm-powered task automation in android

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T05:04:06.810370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:03.800152Z digest=sha256:3522109a82cfbbb5539b80be1e8a2a16a37f7a5e936e38cc3273b3a107beae8c

Observation aafd57fe-9844-47f3-8995-538947c7b609 · outbound

This paper cites Spa-bench: A comprehensive benchmark for smartphone agent evaluation.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Spa-bench: A comprehensive benchmark for smartphone agent evaluation

Reference 24

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source=pdf_text observed=2026-08-07T05:04:03.858282Z digest=sha256:6034fccddaa70772cdc40ce3c8d5b8076ed1a8c62de822bd4f39f161bb47cc42

Observation c0cf9d2c-af07-452d-9f15-c48c14625a63 · outbound

This paper cites Appagent v2: Advanced agent for flexible mobile interactions.arXiv preprint arXiv:2408.11824, 2024.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Appagent v2: Advanced agent for flexible mobile interactions.arXiv preprint arXiv:2408.11824, 2024

Reference 25

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source=pdf_text observed=2026-08-07T05:04:03.905222Z digest=sha256:618e81105d1fb9f03df38a2d76c31e3a67d69e6c7cc3d8c727f12210ca88b0d9

Observation 4bfccc72-5761-4723-b966-e18f30e0e118 · outbound

This paper cites Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception

Reference 26

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source=pdf_text observed=2026-08-07T05:04:03.960768Z digest=sha256:1596964dd9db35af49324a0029397a26d3eb6408e48012c9ababcb037609c678

Observation af324b9c-961d-468b-9eed-e76b8c429c01 · outbound

This paper cites Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration

Reference 27

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source=pdf_text observed=2026-08-07T05:04:04.037198Z digest=sha256:75eff251ee0c722a2273b0601eba714a31bf748b7c904425a54e4d96a7db1cd9

Observation 5b244fa8-9e5b-4d5f-a9b1-8a5664ff94ba · outbound

This paper cites Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks

Reference 28

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source=pdf_text observed=2026-08-07T05:04:04.128061Z digest=sha256:0a4ae8d6323b5770044c1463e23be48c6c1916cbb8007db88a34241906808b47

Observation 5d396ddb-ea92-4ce5-9f67-2eb05168a37f · outbound

This paper cites UFO: A UI-Focused Agent for Windows OS Interaction.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System UFO: A UI-Focused Agent for Windows OS Interaction

Reference 29

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source=pdf_text observed=2026-08-07T05:04:04.198831Z digest=sha256:30e3a8066233cefe74c1e07e2c9782e249221ff1b85eb8866db1198476d3bfcc

Observation 2b67b76a-4a95-4ccb-a272-dc916dc58a08 · outbound

This paper cites GPT-4V(ision) is a Generalist Web Agent, if Grounded.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System GPT-4V(ision) is a Generalist Web Agent, if Grounded

Reference 30

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source=pdf_text observed=2026-08-07T05:04:04.244499Z digest=sha256:b95436df83adb1480901acfbeeab8bf91fe9b36c0fd8a7e04a4336ec2786d351

Observation da7c9d20-85b4-43dc-ad3c-9077092eeb0b · outbound

This paper cites InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection

Reference 31

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no resolver link, observed 2026-08-07T05:04:04.291048Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:04.291048Z digest=sha256:43d16d80ac2c26dded2176856248172de2e4ee8266385ec9c41547842bdfba16

Observation 328cd54c-6632-4a74-8a59-5d376eb24128 · outbound

This paper cites Agent S: An Open Agentic Framework that Uses Computers Like a Human.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Agent S: An Open Agentic Framework that Uses Computers Like a Human

Reference 32

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source=pdf_text observed=2026-08-07T05:04:04.321652Z digest=sha256:ed4f35768cf5e18df63723ab5388f9a6c176921082877bf0952c772b1a0c55d9

Observation ed677184-b9ba-4742-a7c5-4eb11fb7b4fa · outbound

This paper cites Agent Workflow Memory.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Agent Workflow Memory

Reference 33

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source=pdf_text observed=2026-08-07T05:04:04.353532Z digest=sha256:153c60b53e3f01966bdad42af473c1d0d3c88bd113c829f82b0cd8fb576972fe

Observation b8ae43c8-1b8d-4447-a2e0-062b06628d69 · outbound

This paper cites OmniParser for Pure Vision Based GUI Agent.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System OmniParser for Pure Vision Based GUI Agent

Reference 34

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source=pdf_text observed=2026-08-07T05:04:04.373511Z digest=sha256:eb08d3126227cc1a6eeb2e1a773a16bf1a07694b6052d272f93bb88f892edcb2

Observation 121c460c-7629-4919-bd34-0a5bedb1f0d6 · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 35

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source=pdf_text observed=2026-08-07T05:04:04.415109Z digest=sha256:301ac57b33e67519f1e303869ba55039b6bc281b27015a55b5f118c607ec59ea

Observation f8344364-2b2d-46e1-9bff-8d656eb6c471 · outbound

This paper cites GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation

Reference 36

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:04:04.450958Z digest=sha256:60da99059e72068b19b0728bae66c7af292674fe4c0177a4579736755ba22746

Observation 40e3c447-011a-4812-9691-076cf8bdc8c3 · outbound

This paper cites GUIOdyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System GUIOdyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices

Reference 37

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source=pdf_text observed=2026-08-07T05:04:04.486846Z digest=sha256:e52c6096dc296d9453c7361779f9a1344a388fa0f90bb61b3e90cee204b81f29

Observation 604549a2-8239-4c56-9bb1-6062220719f0 · outbound

This paper cites ShowUI: One Vision-Language-Action Model for GUI Visual Agent.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System ShowUI: One Vision-Language-Action Model for GUI Visual Agent

Reference 38

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source=pdf_text observed=2026-08-07T05:04:04.513377Z digest=sha256:599bf48590d073f44123312d644a09d28c131796770ecb52d0a702c51e1e3cbb

Observation 76aa6030-b91c-4ada-8ce5-02b345f61834 · outbound

This paper cites SpiritSight Agent: Advanced GUI Agent with One Look.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System SpiritSight Agent: Advanced GUI Agent with One Look

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:04:06.104278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:04.549092Z digest=sha256:531b43845b81810dd726b9db76dfa4e8872493d4e53b1b2c5dbebb66f6370e91

Observation 1a4b1b1c-ddca-49cd-b3ce-78c787774a18 · outbound

This paper cites Android in the Zoo: Chain-of-Action-Thought for GUI Agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Android in the Zoo: Chain-of-Action-Thought for GUI Agents

Reference 40

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source=pdf_text observed=2026-08-07T05:04:04.582840Z digest=sha256:9f993782ca0e678bd1c3be05e3e1970f4e82b15bf1c354cc35a90b651b94c97c

Observation 23b686ae-f595-477c-a155-9ea064784556 · outbound

This paper cites WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning

Reference 41

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source=pdf_text observed=2026-08-07T05:04:04.613379Z digest=sha256:240ae6b46749f7c920a2e640c110537abae06928cfd7988d579b40ae77432e0d

Observation cded1182-6c6b-40c2-805b-7894c10aa0e6 · outbound

This paper cites Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Reference 42

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:04:04.651490Z digest=sha256:08f819114de1a32a6f317047c799e0553afd6bf2dd39c74eaeb00e60311d792e

Observation 30b34fbe-fbbf-4060-8d29-ee17119870ef · outbound

This paper cites Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction

Reference 43

Resolution
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no resolver link, observed 2026-08-07T05:04:04.685367Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:04:04.685367Z digest=sha256:3d25f97fe91d07c904b72bf3f98e06234bb49408e717b938b382d379448f89da

Observation 055d1a09-a581-46fa-83c3-ef717ef1f844 · outbound

This paper cites Screenspot-pro: Gui grounding for professional high-resolution computer use, 2025.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Screenspot-pro: Gui grounding for professional high-resolution computer use, 2025

Reference 44

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no resolver link, observed 2026-08-07T05:04:04.720347Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:04:04.720347Z digest=sha256:d307f18b5e91ca54615e0281420dfc8cc145ac65005303788ceff9b5408de45a

Observation 7e897fcb-a146-48a4-abc8-e014ba706a99 · outbound

This paper cites GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration

Reference 45

Resolution
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no resolver link, observed 2026-08-07T05:04:04.829186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:04.829186Z digest=sha256:66152dcd8f6c1e48fd1edb751642892e7c9ec48bf21085079d9d2937c6910cf7

Observation ef29ff60-b3fa-4c83-81fd-aa66fc7b7c9d · outbound

This paper cites ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots

Reference 46

Resolution
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no resolver link, observed 2026-08-07T05:04:04.926947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:04.926947Z digest=sha256:5a2bef973949e24653785be0f7403813ba58b87ca2d665099c413bc5ab871bbb

Observation 853a1692-f1be-4e3f-9899-e840f3a88902 · outbound

This paper cites WebSRC: A Dataset for Web-Based Structural Reading Comprehension.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System WebSRC: A Dataset for Web-Based Structural Reading Comprehension

Reference 47

Resolution
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no resolver link, observed 2026-08-07T05:04:05.032391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:05.032391Z digest=sha256:02cf88224448bb5b27476241aacf678f11462c20d03f86a9505d5492b33d2848

Observation b4bc93dd-f677-4116-8ae0-4a539e227d7b · outbound

This paper cites VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?

Reference 48

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no resolver link, observed 2026-08-07T05:04:05.089521Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:04:05.089521Z digest=sha256:4f7df32b5225efedaf77bc41850b3549eee80817e41442d70f8a65e8876ed863

Observation e5d680d0-8e48-4edc-b30c-f81e872c6e59 · outbound

This paper cites Weblinx: Real-world website navigation with multi-turn dialogue.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Weblinx: Real-world website navigation with multi-turn dialogue

Reference 49

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no resolver link, observed 2026-08-07T05:04:05.187438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:05.187438Z digest=sha256:960d2d4ea07e78c44e0fe3f205d50f0f06a558ec9f3ece61fdcdebe73eeaff6a

Observation 8fe52bbc-0ef5-4db9-835d-e1405d890d4d · outbound

This paper cites META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI

Reference 50

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no resolver link, observed 2026-08-07T05:04:05.323156Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:04:05.323156Z digest=sha256:9fd013e3b966f5a872c75dbfa1e4c137e5549282d167b26d27389140ce53e952

Observation 3e1716cf-2902-4ed0-b2cd-4b84901ae0b9 · outbound

This paper cites Mind2web: Towards a generalist agent for the web.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Mind2web: Towards a generalist agent for the web

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:06.787663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:05.398029Z digest=sha256:fa7db6c6bc2beb377ce19502be731dcba4dea44d63843fd139672ef08980bd01

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

This paper cites MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents.

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

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

Source-reported events for the cited work

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

Observation c6f8d7e9-15cb-4a5a-a969-f48bd44883e6 · outbound

This paper cites Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:06.776478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:05.504034Z digest=sha256:9d76d7964916541ee66ea854b240551117b4426837dd4a90e3b0fac35f25bfea

Observation 786624df-57b8-439b-b6cc-a79252e9a1f2 · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 54

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no resolver link, observed 2026-08-07T05:04:05.511312Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:04:05.511312Z digest=sha256:854962675c53f7bf0e256dc9b62938690dd3caecf884f1b036c0517ebab729f8

Observation b60d8667-6fe9-4a33-936f-d8a3b50fe2fd · outbound

This paper cites WebCanvas: Benchmarking Web Agents in Online Environments.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System WebCanvas: Benchmarking Web Agents in Online Environments

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:05.517672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:05.517672Z digest=sha256:29ba9797941f152e828a20371a22adbff7a70930f10883c9133846c61c4afee5

Observation 93d2ffcb-d844-4b02-b81d-66b34b7f648f · outbound

This paper cites Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:05.525625Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:04:05.525625Z digest=sha256:574d057981af338be9bd8016b49165d53b5cb60bca829df4cf0dce880d3af558

Observation 159d9c6e-cfba-4b14-8950-45edfa1a5543 · outbound

This paper cites WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?

Reference 57

Resolution
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no resolver link, observed 2026-08-07T05:04:05.534348Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:04:05.534348Z digest=sha256:1c91bfc72d7ef6e42d968f33e00a4ab84cc5ae259f34be887e5fa46864b7a014

Observation 7a811a1e-47a3-46fd-a113-642e3e0e1d5c · outbound

This paper cites PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC

Reference 58

Resolution
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no resolver link, observed 2026-08-07T05:04:05.541599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:05.541599Z digest=sha256:fbbf7d322095f882b8b8d80d7e7d37b3663657e9a3b9f9837e3edbe56d4a630e

Observation 8dc86540-026a-4449-8965-31049f5667c0 · outbound

This paper cites Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:04:05.841970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:05.548532Z digest=sha256:4cfbfcb37b7ccd88108c32b5a198b2f6463100bb277c9ed0a4421b9fc2cbb064

Observation a871f6a9-ae9c-41bb-87c1-5621be104ded · outbound

This paper cites Markov decision processes.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Markov decision processes

Reference 60

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no resolver link, observed 2026-08-07T05:04:05.554252Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:04:05.554252Z digest=sha256:8593d9899b220f7b366cb440e7c715d474a023aa548e113c18cfd6573b690122

Observation dd4bb27d-f39b-474f-9e1b-2108037668f0 · outbound

This paper cites Atom of thoughts for markov llm test-time scaling.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Atom of thoughts for markov llm test-time scaling

Reference 61

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no resolver link, observed 2026-08-07T05:04:05.560405Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:04:05.560405Z digest=sha256:a9ad7739c0420259ae912000d7b5f032b22ebb1151cc084c3caba616b5377853

Observation 8b2d7092-f7eb-4f9c-9305-cc919432e220 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System React: Synergizing reasoning and acting in language models

Reference 62

Resolution
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no resolver link, observed 2026-08-07T05:04:05.567481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:05.567481Z digest=sha256:7d534c410d46ee63f936f884abc9b8f0182fc30104791999bff30d613084dade

Observation 97d50b36-9c26-4a78-91de-56c022397e71 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652, 2023.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652, 2023

Reference 63

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no resolver link, observed 2026-08-07T05:04:05.574128Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:04:05.574128Z digest=sha256:cb1b1bb565c1583ca910a53340406da87201d876897349893dea83a6e50625e9

Observation 9f6fd665-91f9-4179-8453-e912d012597c · outbound

This paper cites Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Reference 64

Resolution
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no resolver link, observed 2026-08-07T05:04:05.579670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:05.579670Z digest=sha256:4535602783435b5750713da43dc1fdf7f0a2b18796dcdea7ba8f23e37b2ae78a

Observation e927330d-dead-4118-a1f3-07d2f5c8d149 · outbound

This paper cites Caution for the Environment: Multimodal LLM Agents are Susceptible to Environmental Distractions.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Caution for the Environment: Multimodal LLM Agents are Susceptible to Environmental Distractions

Reference 65

Resolution
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no resolver link, observed 2026-08-07T05:04:05.585725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:05.585725Z digest=sha256:c7ca9cb7026349bafa15b45bdc802abca4182bd985b1486b379b824afc65950d

Observation 8d8c3f67-09cc-4857-8540-11d8452de19b · outbound

This paper cites Hello gpt-4o, 2024.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Hello gpt-4o, 2024

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:06.746456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:05.594368Z digest=sha256:e3b0eec8cf2850bd0fbc16219dd4afced321636c76b74d8722a9b20371887a43

Observation 56dcd7ac-9385-460d-9d99-ef339ba0c3a0 · outbound

This paper cites Os-atlas: A foundation action model for generalist gui agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Os-atlas: A foundation action model for generalist gui agents

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:06.736365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:05.599559Z digest=sha256:976c8bad8448d6d42f97988474fdd142dc1e0fe6ad56f54d7eb21fdc112137d2

Observation 4b7e302e-95f3-40b8-bfef-113de7c92a36 · outbound

This paper cites Ui-tars: Pioneering automated gui interaction with native agents.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Ui-tars: Pioneering automated gui interaction with native agents

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:06.725797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:05.608331Z digest=sha256:78a03f294f5c0aa8ab73706c18e14d695946663aa4a6e1ecf18d0c8a16aba855

Observation 18dac5ce-0d04-446d-9fa6-7808f1a8d6e6 · outbound

This paper cites Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:05.615825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:05.615825Z digest=sha256:0b18d034f75564453814656952ea4309615f67f05b495b64bd56dc1bfe7026b0

Observation 53a8a851-0d63-4cb5-8708-049dd6a9b3e1 · outbound

This paper cites Language models don’t always say what they think: Unfaithful explanations in chain-of-thought prompting.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Language models don’t always say what they think: Unfaithful explanations in chain-of-thought prompting

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:05.623583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:05.623583Z digest=sha256:a9b9999449d424ab23eeedf1cd11aa4662c4e9c5b034ce860c859e9a99e03ee8

Observation 0623ede6-6f91-4c9e-bdc0-147e34fa4012 · outbound

This paper cites Measuring Faithfulness in Chain-of-Thought Reasoning.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Measuring Faithfulness in Chain-of-Thought Reasoning

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:05.631673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:05.631673Z digest=sha256:e58d4be98ae63ccd35e88aeafb43676830e322589ca4bf16f2c9d0c45a6f2de7

Observation 7e42798b-55b3-4b7e-9137-3cc6e15ca230 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Efficient memory management for large language model serving with pagedattention

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:05.638229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:05.638229Z digest=sha256:05fde31573f22bbc7db0b18bf6de82a74e43ec74895b50df73d22e8ea82efbe1

Observation 4b5f6469-e8d6-46bc-a53a-34c4d79205f9 · outbound

This paper cites Generalization of Compositional Tasks with Logical Specification via Implicit Planning.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Generalization of Compositional Tasks with Logical Specification via Implicit Planning

Reference 73

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local_arxiv, observed 2026-08-07T05:04:05.711176Z

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source=pdf_text observed=2026-08-07T05:04:05.646663Z digest=sha256:0bb9c5fe99106a35ebd11f3db85ae6f9f0f628be921edb92212b5f1a39302880

Observation cb9d142b-512e-4d4d-956a-427eb70795ad · outbound

This paper cites Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web.

Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web

Reference 74

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no resolver link, observed 2026-08-07T05:04:05.654823Z

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source=pdf_text observed=2026-08-07T05:04:05.654823Z digest=sha256:a8ea58aae5b4b3eeea1cfe8ebc1e25ffa3e0f62c0afc71367f26bdefe3d92b35

Pith citing papers

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