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Paper Citation Record · LEDGER

AppVLM: A Lightweight Vision Language Model for Online App Control

As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 4 inbound Pith citation observations for arXiv:2502.06395.

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

pith.paper-citation-record.v1
2502.06395 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:37:54.570747Z

measured 25 of 25 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:29:38.413995Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T12:28:07.426391Z

Reference resolution

21 of 21 outbound references displayed

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  • verified fuzzy1
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External citation measurements

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Outbound references

Observation 6ed1e4c6-d607-41d1-8886-8b337aed2a91 · outbound

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

AppVLM: A Lightweight Vision Language Model for Online App Control DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Reference 1

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source=pdf_text observed=2026-08-08T15:37:54.519563Z digest=sha256:91ced51b08d5a0d752c923da300d7dbc8de9b98b5dba0128789d0fc2bd3a851c

Observation cd851a6e-a6c1-4d45-b8e3-856189ad2989 · outbound

This paper cites Lightweight Neural App Control.

AppVLM: A Lightweight Vision Language Model for Online App Control Lightweight Neural App Control

Reference 4

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source=pdf_text observed=2026-08-08T15:37:54.528185Z digest=sha256:a6190c74181ee4fb1d0f6245d62e531f647170402636ce170a8d606bb0cc4f29

Observation 4a221bfc-1f01-4ac3-a7d4-1639a28e47bb · outbound

This paper cites The Llama 3 Herd of Models.

AppVLM: A Lightweight Vision Language Model for Online App Control The Llama 3 Herd of Models

Reference 5

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source=pdf_text observed=2026-08-08T15:37:54.531018Z digest=sha256:cc4d6c906a3bc1044bffd8d493dc38c5a854d9325b93dd6eb7bc3e56f255d2bb

Observation 5b6ada51-3de3-46ec-93dc-e2bb158981d8 · outbound

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

AppVLM: A Lightweight Vision Language Model for Online App Control Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents

Reference 6

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source=pdf_text observed=2026-08-08T15:37:54.533475Z digest=sha256:c108a03c81fa5b744b4c2c7892cdb72047406627d9d3949b667e6250c3d850bb

Observation a0ea285d-3614-4e41-b031-9782d3c546f9 · outbound

This paper cites Reinforced Self-Training (ReST) for Language Modeling.

AppVLM: A Lightweight Vision Language Model for Online App Control Reinforced Self-Training (ReST) for Language Modeling

Reference 7

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source=pdf_text observed=2026-08-08T15:37:54.536153Z digest=sha256:4e1355ed9dea1ecc5b6bbda7a0fbf17de316e9b5bae4dee877189d40116a8d35

Observation a64e8fb3-0ca0-48fc-8015-5bcd6affba91 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

AppVLM: A Lightweight Vision Language Model for Online App Control LoRA: Low-Rank Adaptation of Large Language Models

Reference 8

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source=pdf_text observed=2026-08-08T15:37:54.539177Z digest=sha256:d2d3023616b0a4d1bc12d3cbf786eebc33596bb1ce62be12dfc68d5c959af982

Observation f24303b7-8340-460d-a445-784b53837d84 · outbound

This paper cites On the Effects of Data Scale on UI Control Agents.

AppVLM: A Lightweight Vision Language Model for Online App Control On the Effects of Data Scale on UI Control Agents

Reference 9

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source=pdf_text observed=2026-08-08T15:37:54.541542Z digest=sha256:439d3948d6c7127b03bd9e1ebd53b1df2b2bd3e68ae26879af82f33a112f1da7

Observation 32d2670d-d139-48f4-ba6d-7df492d0e00c · outbound

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

AppVLM: A Lightweight Vision Language Model for Online App Control InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection

Reference 10

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source=pdf_text observed=2026-08-08T15:37:54.543920Z digest=sha256:93a04514852d0812c98953959547b7653b706e5cf11c6d086843700df1473566

Observation 360c5b06-550d-4edd-a146-71873d76509d · outbound

This paper cites VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training.

AppVLM: A Lightweight Vision Language Model for Online App Control VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

Reference 13

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source=pdf_text observed=2026-08-08T15:37:54.551325Z digest=sha256:32daa1d38c99178dab46f51bbfb492f02a95e90a72ade493301d69a7ddd98477

Observation f9820037-d614-4ddf-8003-194d051f96d0 · outbound

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

AppVLM: A Lightweight Vision Language Model for Online App Control AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

Reference 15

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source=pdf_text observed=2026-08-08T15:37:54.556214Z digest=sha256:7f55ed5d23fa1e4612e48a341839c37f198f43ad0c823127b79ddb7844ecf57f

Observation 76720d38-d55a-48d9-ba04-617a07e69271 · outbound

This paper cites MMAC-Copilot: Multi-modal Agent Collaboration Operating Copilot.

AppVLM: A Lightweight Vision Language Model for Online App Control MMAC-Copilot: Multi-modal Agent Collaboration Operating Copilot

Reference 16

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source=pdf_text observed=2026-08-08T15:37:54.558584Z digest=sha256:047ba9c6d01068ba7d31d34fa2dae5f7a2dcb1aaf29a81960f750441bcc297a5

Observation 6b9f935c-9470-414e-8a55-ea3d691166ed · outbound

This paper cites AndroidEnv: A Reinforcement Learning Platform for Android.

AppVLM: A Lightweight Vision Language Model for Online App Control AndroidEnv: A Reinforcement Learning Platform for Android

Reference 17

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source=pdf_text observed=2026-08-08T15:37:54.560958Z digest=sha256:1d844d22ec0ed005411ffd6f13b5f3f242aaa825a3c30c92c43f312d7f281ca8

Observation 6bf42c5c-bae7-4caf-92cc-2a8266cf0e92 · outbound

This paper cites Ponder & Press: Advancing Visual GUI Agent towards General Computer Control.

AppVLM: A Lightweight Vision Language Model for Online App Control Ponder & Press: Advancing Visual GUI Agent towards General Computer Control

Reference 19

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source=pdf_text observed=2026-08-08T15:37:54.565635Z digest=sha256:16b5f79f1375b4f899333503053031a3dff758ebb99ca8f3392ba6b7e87ffe21

Observation 13fe7a9f-f2f4-4f23-9e93-bc7b17880995 · outbound

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

AppVLM: A Lightweight Vision Language Model for Online App Control GPT-4V(ision) is a Generalist Web Agent, if Grounded

Reference 21

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source=pdf_text observed=2026-08-08T15:37:54.570747Z digest=sha256:3ea6f774e2af159a241591dac778368f6b0c8bcacc232f5f85ab673c507629fe

Observation fab341d0-e979-4a63-ac26-f5c18a6f95e7 · outbound

This paper cites AppAgent: Multimodal Agents as Smartphone Users.

AppVLM: A Lightweight Vision Language Model for Online App Control AppAgent: Multimodal Agents as Smartphone Users

Reference 1992

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source=pdf_text observed=2026-08-08T15:37:54.568144Z digest=sha256:b4308e406b955c8adcd591eef4eb6ab15257d03881668b83a9a6f776594789df

Observation 86d18d76-1f97-429d-9bc1-b14c880830b6 · outbound

This paper cites CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation.

AppVLM: A Lightweight Vision Language Model for Online App Control CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation

Reference 2017

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source=pdf_text observed=2026-08-08T15:37:54.548756Z digest=sha256:d4d044108e005980934d2b4a5679bcbe3fa430f2dc30f1e2f998264d34f762ca

Observation 27b01f1a-5bc3-4131-99f1-6efb3355b439 · outbound

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

AppVLM: A Lightweight Vision Language Model for Online App Control Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration

Reference 2021

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source=pdf_text observed=2026-08-08T15:37:54.563322Z digest=sha256:2bdbff4ec4f4dfe2e2f3f779e166ca4be4b7d5d973610e29a4c50cb6426611ee

Observation e63cf0bd-b02b-400d-a4f1-cdc5d3c93ae9 · outbound

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

AppVLM: A Lightweight Vision Language Model for Online App Control Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Reference 2022

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source=pdf_text observed=2026-08-08T15:37:54.553747Z digest=sha256:893b43e6ecd2f66d1fd425628763a125fe13912a1dceee605ee3d675b5a55f01

Observation f05f1e6f-53b3-4ac6-bffa-15d336ba23ce · outbound

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

AppVLM: A Lightweight Vision Language Model for Online App Control Spa-bench: A comprehensive benchmark for smartphone agent evalu- ation

Reference 2023

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T15:37:54.525776Z digest=sha256:fea63d2a45800a409a353eee46c8e1eb064b0f1b737e0be10f5af96bce83eafd

Observation 4ffa1ec5-4963-4444-a1ca-c1d71a5580c2 · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

AppVLM: A Lightweight Vision Language Model for Online App Control PaliGemma: A versatile 3B VLM for transfer

Reference 2024

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Observation 871a86d5-f1ff-4633-99a1-a069738803de · outbound

This paper cites Decoupled Weight Decay Regularization.

AppVLM: A Lightweight Vision Language Model for Online App Control Decoupled Weight Decay Regularization

Reference 2025

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source=pdf_text observed=2026-08-08T15:37:54.546326Z digest=sha256:7f0c81e800f1ad98b11f393db2c0314edffba69961662e0b1d5248aff8a42c7e

Pith citing papers

Observation 49dd3956-04e7-44dc-a042-0e90ca4b8803 · inbound

MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users cites this paper.

MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users AppVLM: A Lightweight Vision Language Model for Online App Control

Reference 44

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source=pdf_text observed=2026-08-09T10:29:38.413995Z digest=sha256:ee4a0531dcb69a3b486d4f7312a359e46cdae466b9b7c9e258f7bd5f34ac1e47

Observation b0e4e628-7917-40f9-bdbb-2c4c204ec583 · inbound

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation cites this paper.

Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation AppVLM: A Lightweight Vision Language Model for Online App Control

Reference 16

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source=pdf_text observed=2026-08-07T14:38:14.313795Z digest=sha256:61c8a1864533bf18ccb27612c0595879f3d62435776344fd87180dddf4b39aa8

Observation 5a5c8f33-cef1-4817-a5ad-f9c83bf1db80 · inbound

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance cites this paper.

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance AppVLM: A Lightweight Vision Language Model for Online App Control

Reference 58

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source=pdf_text observed=2026-08-06T05:57:51.212487Z digest=sha256:71b36ce58c8f9c0a6d0ca53dc029682f6688ba916054ac0629b182ffee286dff

Observation 51a7cc26-1e39-40bb-bec4-b5ee4fcf1667 · inbound

CAPED: Context-Aware Privacy Exposure Defense for Mobile GUI Agents cites this paper.

CAPED: Context-Aware Privacy Exposure Defense for Mobile GUI Agents AppVLM: A Lightweight Vision Language Model for Online App Control

Reference 34

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source=pdf_text observed=2026-06-27T09:00:10.153170Z digest=sha256:7b106daa4138824eab4b3b2df1cb4d94d66d92e0f4e59bb3d59e2d6ecbc77f31