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Paper Citation Record · LEDGER

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

As of 15 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 23 inbound Pith citation observations for arXiv:2507.15846.

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

pith.paper-citation-record.v1
2507.15846 v3

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:29:15.618756Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:25:46.549728Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:36.550370Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved51
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cfb3d76f-23fe-4c90-993a-be9e88c00a22 · outbound

This paper cites write newline.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding write newline

Reference 1

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unresolved
no resolver link, observed 2026-08-06T15:29:10.219218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:10.219218Z digest=sha256:06853bef6013fea5256d033f67c31fbab5aedd1665d28342818a0f92293f24d1

Observation a841dc17-d610-418e-b3e8-67a4ac8946d7 · outbound

This paper cites Scott MacKenzie and.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Scott MacKenzie and

Reference 2

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verified exact
doi, observed 2026-08-06T15:29:15.799992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T15:29:10.322856Z digest=sha256:38cc6dac54dda6890f7bb051bb5af0221e9c4ba71c4a558f23eefd807994895f

Observation d2529b76-b6a2-4328-b54a-ffa5262c2720 · outbound

This paper cites Claude computer use.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Claude computer use

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T15:29:17.476780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T15:29:10.385380Z digest=sha256:2c9ef2abadd315747b8208b82e448ac248c068bc4f41bc30d7323ba8fab678de

Observation 6e2e139f-9e48-4b0a-8016-d9d71abfbacf · outbound

This paper cites UIBert: Learning Generic Multimodal Representations for UI Understanding.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding UIBert: Learning Generic Multimodal Representations for UI Understanding

Reference 4

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no resolver link, observed 2026-08-06T15:29:10.457231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:10.457231Z digest=sha256:830952cd2318066569e4a6ec88f8ba10102f7251f1cb7c9817d23398f83a3535

Observation a6d67830-80e1-4159-a5af-195d24567256 · outbound

This paper cites Qwen2.5-VL Technical Report.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Qwen2.5-VL Technical Report

Reference 5

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no resolver link, observed 2026-08-06T15:29:10.535623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:10.535623Z digest=sha256:5958fe154eaccf3e1367057bf114ff6c05c4bd4930a07eee980967149ec04ce3

Observation 26a23c22-537f-4b30-ae53-705d3a51a6bf · outbound

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

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents

Reference 6

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unresolved
no resolver link, observed 2026-08-06T15:29:10.603170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:10.603170Z digest=sha256:8cfb8890fd2b985dafa29d9f557a43345b218ca486fe2e54bae0041651089545

Observation 15e5c02e-dead-4faa-94b4-e9a22d8a4058 · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 7

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unresolved
no resolver link, observed 2026-08-06T15:29:10.672747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:10.672747Z digest=sha256:143372d05b7472ab2d98723b77e03d0f9a5db5df30d170779488882cccd3c29b

Observation be0adba9-20ef-472d-b36b-c663a4fd6ff8 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 8

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no resolver link, observed 2026-08-06T15:29:10.749265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:10.749265Z digest=sha256:42b48d85afa03a91d7337f434189f4b5254b7015530d207cb631eaab2f2a2dfd

Observation 1d15f718-ad49-48a4-a1fa-bbc9b6ccdca7 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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unresolved
no resolver link, observed 2026-08-06T15:29:10.860990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:10.860990Z digest=sha256:c990887e7216919fbccec2cc88c9b72867e54df1f4f6c6a2a849f284ab03d625

Observation 43c1f3da-f982-4c2d-b24c-62add1716d82 · outbound

This paper cites PP-OCR: A Practical Ultra Lightweight OCR System.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding PP-OCR: A Practical Ultra Lightweight OCR System

Reference 10

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unresolved
no resolver link, observed 2026-08-06T15:29:10.924094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:10.924094Z digest=sha256:2b5f5355d36c6b4c9b90a76208c5bdd9922d627b54041acaf44c198b6f49f217

Observation 09d62b29-acc6-43eb-95e4-0aee5d0f30a2 · outbound

This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 11

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unresolved
no resolver link, observed 2026-08-06T15:29:11.031018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:11.031018Z digest=sha256:5965c5acb902349f3b7495eebc234ca5341df03c6d88b14731a0022c338c88dc

Observation ce379213-1364-4e5e-b3f3-bbfbede9a6f9 · outbound

This paper cites an unresolved cited work.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:29:17.157010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T15:29:11.106531Z digest=sha256:34b8812e74bf51b49676d64962eec6a0266e256cf98098d7e4d7b53daf788ade

Observation 9f8c2f29-6c29-41f4-8f9e-11ab5e3e45b7 · outbound

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

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents

Reference 13

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no resolver link, observed 2026-08-06T15:29:11.227906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:11.227906Z digest=sha256:126c2fe8fa524d5bb911fc654da57936a054420c8ad6961448f055ffc93567dd

Observation d0f6657d-6789-4ca2-a6f7-4dcdb6d7b6c8 · outbound

This paper cites CogAgent: A Visual Language Model for GUI Agents.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding CogAgent: A Visual Language Model for GUI Agents

Reference 14

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unresolved
no resolver link, observed 2026-08-06T15:29:11.323765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:11.323765Z digest=sha256:db1947eb96e0903e8068893c7f7d4150039364086566948b77df5778eeffd4df

Observation c732badb-4df7-4e89-a90a-2acca775998e · outbound

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

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding AppAgentX: Evolving GUI Agents as Proficient Smartphone Users

Reference 15

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unresolved
no resolver link, observed 2026-08-06T15:29:11.402976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:11.402976Z digest=sha256:0c248f667dd546963c3ee6fa3b4c177bdfc720aed61ef837167c5a1a74497696

Observation b7f61966-a81b-4d9c-8f7a-5c5b478bdf16 · outbound

This paper cites OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web

Reference 16

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unresolved
no resolver link, observed 2026-08-06T15:29:11.480666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:11.480666Z digest=sha256:762315b3bfaab30e66341ebff4d82e5b0c4a1bcb2638335f77298f9242e67ad3

Observation 273973e5-936e-4bb0-9dc4-e72815f05aa3 · outbound

This paper cites Segment Anything.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Segment Anything

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:11.606483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:11.606483Z digest=sha256:8035d78ed2bb3365e5bb3f0213a616556600dff735913f0f13b0276f1160874a

Observation f09af597-431b-42c9-a7c8-ef3f9ac3a595 · outbound

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

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Screenspot-pro: Gui grounding for professional high-resolution computer use, 2025

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-06T15:29:16.902546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T15:29:11.706772Z digest=sha256:c6d1e7cbf0849270a671638f96d0611d3bd90a1e9096a8f399cb188ed5af029a

Observation d362171e-e73e-4904-b07d-e9edd3320297 · outbound

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

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Appagent v2: Advanced agent for flexible mobile interactions, 2024

Reference 19

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no resolver link, observed 2026-08-06T15:29:11.763894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:11.763894Z digest=sha256:40fec3d861040daf23c75b32c1742d78be4312aaf2d284c90a750f86f53ff555

Observation 502ea755-018e-4996-ba99-3175a3291e2c · outbound

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

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding ShowUI: One Vision-Language-Action Model for GUI Visual Agent

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:11.808864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:11.808864Z digest=sha256:9377e67fae1a102eb7581fb291ce28a1cefa81a0e010d3078f12049055332da9

Observation f218925c-d143-4016-ae99-81d6b8f3f703 · outbound

This paper cites AutoGLM: Autonomous Foundation Agents for GUIs.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding AutoGLM: Autonomous Foundation Agents for GUIs

Reference 21

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unresolved
no resolver link, observed 2026-08-06T15:29:11.941243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:11.941243Z digest=sha256:572708573c968d8c6b43c7db3f065b8c620af58c1600014a575b74ac31113bfb

Observation 07a35a64-28e5-4766-96c1-c7b8b82dda9c · outbound

This paper cites Video compression commander: Plug-and-play inference acceleration for video large language models, 2025 a.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Video compression commander: Plug-and-play inference acceleration for video large language models, 2025 a

Reference 22

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no resolver link, observed 2026-08-06T15:29:12.034088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:12.034088Z digest=sha256:4e7e68de216d8fb1ecb7a1a29d6078272852775c5f3be5d879098c051eb37238

Observation 8cd86f85-a3fc-4300-b13b-cb084199b985 · outbound

This paper cites Global compression commander: Plug-and-play inference acceleration for high-resolution large vision-language models, 2025 b.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Global compression commander: Plug-and-play inference acceleration for high-resolution large vision-language models, 2025 b

Reference 23

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no resolver link, observed 2026-08-06T15:29:12.182328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:12.182328Z digest=sha256:ef087fc1749d7633450cc993a6313b62b644d31e3939ec6b0e7b368583370b4d

Observation 490c55de-aa0a-40df-ad79-657b4fa16486 · outbound

This paper cites Shifting ai efficiency from model-centric to data-centric compression, 2025 c.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Shifting ai efficiency from model-centric to data-centric compression, 2025 c

Reference 24

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unresolved
no resolver link, observed 2026-08-06T15:29:12.289008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:12.289008Z digest=sha256:cf15704f5688aced566b6cafa84fd31bfb001a9ffe39aa3c6c0b94289d70f3d5

Observation ee1a01fe-001d-49dc-bce9-d819027e3b5e · outbound

This paper cites InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:12.464360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:12.464360Z digest=sha256:e7861abd5f30c51a9933027fb575414c83ed2b876eb80c1e1e98753394de1dd6

Observation 2d598997-a322-4e89-9e7b-ba45894f9818 · outbound

This paper cites OmniParser for Pure Vision Based GUI Agent.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding OmniParser for Pure Vision Based GUI Agent

Reference 26

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unresolved
no resolver link, observed 2026-08-06T15:29:12.593265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:12.593265Z digest=sha256:526d1ce0550cfe90eea9f97fd4f6db1e3a3605932a80b5833dda06ad050e57d4

Observation bf4d3d93-65dc-4233-a776-b367a9003c19 · outbound

This paper cites UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:12.726840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:12.726840Z digest=sha256:69b1fe1ebe142b6d5b5ddb062d72428c3e25c1506404c9698572c667b2e534e5

Observation 9120cf11-14dd-4d5c-87e5-b2626bdfeadb · outbound

This paper cites GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents

Reference 28

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unresolved
no resolver link, observed 2026-08-06T15:29:12.890852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:12.890852Z digest=sha256:c6b787531027e15197d21cd21df823b52bf054b59c92c1c58a882c0809facd17

Observation 982ee31e-f684-49c8-82c7-5606c525099d · outbound

This paper cites Introducing gpt-4o.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Introducing gpt-4o

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:29:16.636695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T15:29:13.029154Z digest=sha256:c0b0ef9df710af18ff22cd130b0ad719e469ae7bee8361f11efdba76424935db

Observation 33db5205-2414-40f4-8619-305f3f958326 · outbound

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

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 30

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no resolver link, observed 2026-08-06T15:29:13.144984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:13.144984Z digest=sha256:6c3bf3b0acb5785743e4913536824022f86cd106b38b4e7120be2a6d4a19050d

Observation fc6530d4-26ef-45ba-a76f-c686209f91cc · outbound

This paper cites Android in the Wild: A Large-Scale Dataset for Android Device Control.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Android in the Wild: A Large-Scale Dataset for Android Device Control

Reference 31

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no resolver link, observed 2026-08-06T15:29:13.277582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:13.277582Z digest=sha256:09e401a6ad02decc163bb63336c052b954ea24704069bed34d969b1eee05b97b

Observation 24d1b1ce-3df5-47ed-81f1-c779200c85d5 · outbound

This paper cites Spurious Rewards: Rethinking Training Signals in RLVR.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Spurious Rewards: Rethinking Training Signals in RLVR

Reference 32

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unresolved
no resolver link, observed 2026-08-06T15:29:13.444701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:13.444701Z digest=sha256:7bdbf76d2d86f9e6f78aefd4c13abbbf29f024f941840388e460b2e9cc3c1392

Observation 3c17518f-af9e-4b45-aaf5-40e323eb0e0d · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 33

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unresolved
no resolver link, observed 2026-08-06T15:29:13.545100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:13.545100Z digest=sha256:4f45ba49ed3b65ebab437e6048191d1719f60c4ba0a4f42b4523ee3409967546

Observation 913fb2d2-2331-4df0-a6f0-d84dd68b38a6 · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 34

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no resolver link, observed 2026-08-06T15:29:13.665258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:13.665258Z digest=sha256:13c4d39b24c0e2ff304ec50ba21340885788dc5c258f166d02b98d9cd063fd5e

Observation 9a7a0f0c-7ed2-4066-a844-22e75838e384 · outbound

This paper cites HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Reference 35

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no resolver link, observed 2026-08-06T15:29:13.750395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:13.750395Z digest=sha256:bd7a4ed9199b107d874f7d44252a957be5374b529977837333bc8cf3906e02ba

Observation 096b7375-8be7-47d8-ba0c-6531c5fa50dc · outbound

This paper cites OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis

Reference 36

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no resolver link, observed 2026-08-06T15:29:13.868166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:13.868166Z digest=sha256:862c9095566fd2322cf141cca665f14a9ff2c3772c960a2b41889f56829f0a56

Observation a8fc6fe2-8051-4c0e-b9b8-fff3ce394af5 · outbound

This paper cites Think Twice, Click Once: Enhancing GUI Grounding via Fast and Slow Systems.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Think Twice, Click Once: Enhancing GUI Grounding via Fast and Slow Systems

Reference 37

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no resolver link, observed 2026-08-06T15:29:13.951019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:13.951019Z digest=sha256:278ecd97da68d77d6f8c23a607680a7d7c73e096a56abe23ff27ba6bd492405d

Observation 3bd522b7-1d8a-4dc0-915b-d60ec4a0ec72 · outbound

This paper cites A Survey on (M)LLM-Based GUI Agents.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding A Survey on (M)LLM-Based GUI Agents

Reference 38

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no resolver link, observed 2026-08-06T15:29:14.038103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:14.038103Z digest=sha256:303bca2aa37754336580a21b6b4cd9c6726295b705e4eaeb48d8a0e8697c53e5

Observation 1bd90bd5-38a2-4655-b876-ae9c3cbf4b7c · outbound

This paper cites LPO: Towards Accurate GUI Agent Interaction via Location Preference Optimization.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding LPO: Towards Accurate GUI Agent Interaction via Location Preference Optimization

Reference 39

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no resolver link, observed 2026-08-06T15:29:14.128421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:14.128421Z digest=sha256:46629946575efa69f98a2625a46262b9fe3539769c97db9744bb390993e545cb

Observation d92d75d9-fc97-4f53-a7ef-dc90178d2113 · outbound

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

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:14.207149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:14.207149Z digest=sha256:13665e6d09d8f0485d191954aec5850e215d85a72a3583b7d4ce5aebd788d522

Observation 0ceb45ec-ccfd-4012-afa0-18dc18fce2a2 · outbound

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

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:14.284181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:14.284181Z digest=sha256:81b102e4b533b1227348ff82887fa9175e3f82a3213aee0cc7daa7b3a1c7c373

Observation fc4b263e-5cd7-4173-87ed-ebc4f1eb556f · outbound

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

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:14.407027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:14.407027Z digest=sha256:db7d02270aa9092371a3fcd2b5da7fc65fdb7d917c38939f6e26fbb5325739b6

Observation 5e9aaecb-bf98-42a0-9185-0392efc90e5b · outbound

This paper cites GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:14.499267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:14.499267Z digest=sha256:ab3143d4e04fb3a5a005a28ad3149a68e13af3d4fdf435f1096187d6ca2a47da

Observation e12923f5-7034-4400-a974-7ad4b13539bd · outbound

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

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding OS-ATLAS: A Foundation Action Model for Generalist GUI Agents

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:14.604419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:14.604419Z digest=sha256:95a9fdf118611efa967a3a5e2c1d945c5a724bfda66891a0e85c5aed378a9c41

Observation 067450e3-4db5-4b56-b62d-199fb2ae6006 · outbound

This paper cites Scaling computer-use grounding via user interface decomposition and synthesis, 2025.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Scaling computer-use grounding via user interface decomposition and synthesis, 2025

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:14.730910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:14.730910Z digest=sha256:e10f5fda9c37887e9cffcc9b62121d8a18b621ea3b3e44699beb55b0e924cf43

Observation 472b31ff-5c52-4181-99df-ba022d39b157 · outbound

This paper cites Aria-UI: Visual Grounding for GUI Instructions.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Aria-UI: Visual Grounding for GUI Instructions

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:14.837522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:14.837522Z digest=sha256:ec13e40a3870527b7a25f8b12e503573545e02f46371d9e0db5e6d1846edf8eb

Observation f8c783f7-705f-44ad-ad69-8a6229bcfcc5 · outbound

This paper cites Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:14.964572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:14.964572Z digest=sha256:ea201b24d14a3caf38db67ecdfdd801167f7c56de628c11c814e1d525abdadcb

Observation a90f8172-4ac7-4da0-b40d-d865f3fa3f0d · outbound

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

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding UFO: A UI-Focused Agent for Windows OS Interaction

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:15.047928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:15.047928Z digest=sha256:260c03a38fcaf126e9a5793cbfc98d37fda9e12fc858df9cb4229a50a0b778c8

Observation ece5a936-743c-45c9-98a0-8d5e9b869f82 · outbound

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

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Large Language Model-Brained GUI Agents: A Survey

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:15.138006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:15.138006Z digest=sha256:05ad0bf6c155bda07be8139a507422facc608edee320007166c0398fa1aaff8b

Observation 894f153f-d9e1-49d8-91d5-52c7a7add5a6 · outbound

This paper cites UFO2: The Desktop AgentOS.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding UFO2: The Desktop AgentOS

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:15.224317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:15.224317Z digest=sha256:58f0903600f22a9f13c9822e5a0e937e870cd0af9bc3001c7f4490b4207c565c

Observation 94e2f890-aba1-4a1c-a4cf-e5ce70bb2d3b · outbound

This paper cites AppAgent: Multimodal Agents as Smartphone Users.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding AppAgent: Multimodal Agents as Smartphone Users

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:15.303236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:15.303236Z digest=sha256:42ca1bb08fa109735674ecd99d358f653fca0ee3aabfc1559b5b7c3fe846f41e

Observation 992887c7-383d-4171-a4e2-18995fec3ebd · outbound

This paper cites GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:15.387692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:15.387692Z digest=sha256:a621b5987ed9eb7eb60a6a60019395db3140d9495f233ffa4877d9bedd5b09cc

Observation 109b445c-69ef-4723-a79c-4ad7764a645b · outbound

This paper cites @esa (Ref.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding @esa (Ref

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:15.469946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:15.469946Z digest=sha256:7970a67d016b8170c2c71f69eeb605517d7f17967d99a5ed8feba2cae4a62787

Observation 51f15066-02c7-4065-947d-9313825e646b · outbound

This paper cites an unresolved cited work.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding Unresolved cited work

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:15.549016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:15.549016Z digest=sha256:28b71b28a04fc0dc2f6986e1cdacecd9442cce2cb79a331a06c444d98006de35

Observation 81bfbef6-dfb5-4870-9091-0a9aaa46748c · outbound

This paper cites s1: Simple test-time scaling.

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding s1: Simple test-time scaling

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T15:29:15.618756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:29:15.618756Z digest=sha256:e93986352e1e1b544fb22bdff22c404dd49cd953447872527ec7074581ec2c9e

Pith citing papers

Observation efee8467-2e75-4412-b4ee-714b52fea9a2 · inbound

SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control cites this paper.

SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T15:18:56.155953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:18:56.155953Z digest=sha256:98bb3f2d035b10ee22f17c17024d39f72312d3822e78865ccaa0272d247fad3a

Observation f413252f-cf85-40f6-9133-68aaa4edb887 · inbound

UItron: Foundational GUI Agent with Advanced Perception and Planning cites this paper.

UItron: Foundational GUI Agent with Advanced Perception and Planning GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T14:03:38.136641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:03:38.136641Z digest=sha256:752f117e96f87982a20c2b1f3daf111d0f3af37c79d873b9c20876b7391fbb54

Observation 034aab47-f9dc-4002-ad2a-431e1ca81233 · inbound

VeriOS: Query-Driven Proactive Human-Agent-GUI Interaction for Trustworthy OS Agents cites this paper.

VeriOS: Query-Driven Proactive Human-Agent-GUI Interaction for Trustworthy OS Agents GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:06:42.772686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T18:06:12.349285Z digest=sha256:7c6aa9ad1d34c7a262ba9a172a662aefbf07a859d47bd1943a0f1da110a8973e

Observation 53be6d6f-9409-4118-bba7-1654810394f2 · inbound

RISK: A Framework for GUI Agents in E-commerce Risk Management cites this paper.

RISK: A Framework for GUI Agents in E-commerce Risk Management GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:31:25.044770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T13:28:21.961995Z digest=sha256:26d691858ba8ebad343d454f910446318ea9449f8d693a94597e07575ec9d9d7

Observation 36372f2d-9431-4e3c-b97d-148e44eb41cd · inbound

Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning cites this paper.

Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T07:02:43.391591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:02:43.391591Z digest=sha256:e8d5402f8c8fde61d63ef01f0dbeafd022744d3036c95de769383f4598166b7f

Observation abf08a80-530f-4f86-9830-16c0557a9ab9 · inbound

GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding cites this paper.

GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T00:30:24.763113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:30:24.763113Z digest=sha256:24b095b2bf34b380f6cacdb4cf31c3649f5409e3fac071aa180608c7b8b8cbf9

Observation 4fe4186c-0dfd-4355-9368-bcb0d02d2150 · inbound

Grounding Computer Use Agents on Human Demonstrations cites this paper.

Grounding Computer Use Agents on Human Demonstrations GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T23:06:05.083240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T23:06:05.083240Z digest=sha256:d22c0092765883027d314b5a00525ece6a09b290610d71e5502faf7d56d4972b

Observation 37e2c66c-84cb-4965-84a3-2ebdf66a680f · inbound

GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL cites this paper.

GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-02T20:51:44.048532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T20:51:44.048532Z digest=sha256:ea9555e7a14935557063217ef6f89e059a344a2ad0d5c478dd75dbbecf4d7cc2

Observation 88032ec2-714f-4b05-9079-8763d8ee5b93 · inbound

Where and How to Prune: An Empirical Study of Visual Token Pruning for GUI Agent Navigation cites this paper.

Where and How to Prune: An Empirical Study of Visual Token Pruning for GUI Agent Navigation GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:03:20.145333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-14T23:59:49.017251Z digest=sha256:9f63380ce9af826c2d1ff6089916d625703ee93ff3e2f6544a4db9eed8043725

Observation 604730cc-928b-413a-8bf1-ce7d391670d6 · inbound

UIPress: Bringing Optical Token Compression to UI-to-Code Generation cites this paper.

UIPress: Bringing Optical Token Compression to UI-to-Code Generation GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:00:59.452378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T17:21:32.024105Z digest=sha256:20e33659b34c5f4fba89e6f12fac57edb092e3265b59314b688a3af8c64900a8

Observation f30003e1-420e-4334-92f3-993fa85efe91 · inbound

PrecisionCUA: Iterative Visual Refinement for Pixel-Precise Cursor Grounding in Code Editors cites this paper.

PrecisionCUA: Iterative Visual Refinement for Pixel-Precise Cursor Grounding in Code Editors GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:36:01.497346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-10T15:57:32.504665Z digest=sha256:c46d25b1c7b0ccde101a8390bee353356bfe1105ce1143a501e1260cec83f964

Observation 6c81d8de-6339-491f-9de1-9baf657e6845 · inbound

PrecisionCUA: Iterative Visual Refinement for Pixel-Precise Cursor Grounding in Code Editors cites this paper.

PrecisionCUA: Iterative Visual Refinement for Pixel-Precise Cursor Grounding in Code Editors GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-12T21:01:02.036287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T21:01:02.036287Z digest=sha256:045f1e03edde0be1f343d18a844d75a54ffe82dc8052fe13de701ba3cebc5d51

Observation 54e87d44-dc40-4a61-94aa-3e1d386f0f75 · inbound

RiskWebWorld: A Realistic Interactive Benchmark for GUI Agents in E-commerce Risk Management cites this paper.

RiskWebWorld: A Realistic Interactive Benchmark for GUI Agents in E-commerce Risk Management GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:45:28.641447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T13:40:55.540869Z digest=sha256:d714ad51e25b7deeaf07317efaa0dc16ad61f454365204edd5a8271bd8f995d7

Observation 797937a4-da08-4583-9b4b-1e0a415cbbce · inbound

Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding cites this paper.

Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:16:05.748563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-09T23:05:05.251150Z digest=sha256:94c49156f38cb8bd166865cc953ecdb30934de0f83e545826a485827fa2fca61

Observation dd546c68-a43a-4522-ba6b-2879d09a02ff · inbound

OS-SPEAR: A Toolkit for the Safety, Performance,Efficiency, and Robustness Analysis of OS Agents cites this paper.

OS-SPEAR: A Toolkit for the Safety, Performance,Efficiency, and Robustness Analysis of OS Agents GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:56:11.695039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T03:51:54.310805Z digest=sha256:d26e307f0907ad6ec6efa4170be98b685568d1705a36bb8f337b4447272e36f7

Observation 42ddbbbc-130e-45dc-bbfc-694e8453456f · inbound

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants cites this paper.

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:31:29.625306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-07T05:48:00.486572Z digest=sha256:e1304c30a8187e6420781eb1988d76ca00c1146a943c28f6105516ca682e4e9f

Observation 9eaa4ae0-4aa7-490b-bdea-7521e3a19556 · inbound

BAMI: Training-Free Bias Mitigation in GUI Grounding cites this paper.

BAMI: Training-Free Bias Mitigation in GUI Grounding GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:16:10.127140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T12:20:42.718277Z digest=sha256:ee96aa1588b22bc9cbf36632e998e8bc331534f5c44b31d0e04f488363d28fe0

Observation ec96acac-9179-430e-963a-19160453fc54 · inbound

Covering Human Action Space for Computer Use: Data Synthesis and Benchmark cites this paper.

Covering Human Action Space for Computer Use: Data Synthesis and Benchmark GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:27:19.036790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T05:18:23.310925Z digest=sha256:2b1cc9f650e09afc3a22d4dde9a14e1c6fe3eb7ed725f8e41ca0a917a58a3ef5

Observation afd07059-1ca5-4cc8-ae9c-526a52720cfd · inbound

Mobile-Aptus: Confidence-Driven Proactive and Robust Interaction in MLLM-based Mobile-Using Agents cites this paper.

Mobile-Aptus: Confidence-Driven Proactive and Robust Interaction in MLLM-based Mobile-Using Agents GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:53:26.742380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T12:47:01.474220Z digest=sha256:bd3af878b831525525c74f4f35337281367039e3bf61f71d5aa28be4c7037252

Observation c07b79ef-7233-436f-af44-2f097f8b1ac4 · inbound

GUI-C$^2$: Coarse-to-Fine GUI Grounding via Difficulty-Aware Reinforcement Learning cites this paper.

GUI-C$^2$: Coarse-to-Fine GUI Grounding via Difficulty-Aware Reinforcement Learning GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:52:44.729993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T22:52:04.755523Z digest=sha256:2ae41cd99f4ccced9fdb5d317cda572d2ef1c01ba8561837367fbaa81e8a0c63

Observation 240651ba-7bca-49e9-b692-15f41f13cf98 · inbound

GUI-AC: Enhancing Continual Learning in GUI Agents cites this paper.

GUI-AC: Enhancing Continual Learning in GUI Agents GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:27:36.552244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T13:56:09.049753Z digest=sha256:fe2a82c8d1971f4a3f0073fb4f35917299abbb2c1964e430d6e9a7bde45364d5

Observation 257d1b62-4a96-4e18-8427-a5a11379b2e9 · inbound

GUI-AC: Enhancing Continual Learning in GUI Agents cites this paper.

GUI-AC: Enhancing Continual Learning in GUI Agents GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-12T14:27:05.589465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T14:27:05.589465Z digest=sha256:afc66e3f55ee849ae16b6805881bf251b52d36da330c579c5c7f62adcb4608c9

Observation 78a3c9c8-e395-4d03-a441-3d99cb0b9e9f · inbound

DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments? cites this paper.

DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments? GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

Reference 105

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:46.549728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:46.549728Z digest=sha256:062b13f735da8beecc0aed68083997fa9e19097a6338f156d00ac0d5b5c1e226