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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 22 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 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:18:56.155953Z

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=sha256:0516c29a49ea196e5c6ce11a6093765baddb601807b292b1e2604a238368a018

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:29:10.322856Z digest=sha256:6360e1c75af20917e448602a56c30e47425b5eb9231a9c6d64c53ea0332cd8d6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:29:10.385380Z digest=sha256:1b164680a3334b986f2896f524edadc897780c858b41a6f4049809d4153b09ce

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=sha256:979d35c1897cd8a468aa6908233a2508a60ba62b43d282c34ece0bf2445aa197

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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unresolved
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=sha256:6ed0db7ccd20f5392c5f6fe5f5fc81dc3e77ee66180bdb07ab44bce4c8764672

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:fa31f0e56d39f65a3b04269bd069c6402622ae46f5087120535f565fc7ac61b7

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=sha256:12d89de69e758aa36a3cc693f59be2cd98d9b2126727e18c03da7ad123ea17a7

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:dc4c241b6eb9982c242126309ee3ab7ded2ec3a84a1842db30a9911ca73fc7b0

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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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:b71efd37decfcb2ab326c42babde49fe9d5b0fa7feef78a069a82079fbf9b2b4

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:a0269f719e8d51cc66ce0d2dd54b8acfd6372665f936356f206c2e3f34ad76cf

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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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:ad01ac8f7df22409d6cd1b6d15c72cd1a0f0e03905b4ff108bcda4b5eacf1104

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:29:11.106531Z digest=sha256:199c67bccd1984a79cbaefc2c90bc0e7454427e6624be0091d078dfb8837b433

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=sha256:06b41148f1448f9880949f6439992b9f3b1acfbbb8503edf46ee898b4a738a0a

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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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=sha256:4683ebe7824aec3d65af6f03a031cc9468390caa501e8e9488f671c9cb961ec3

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=sha256:727c186943fa0e15dde40c130f6a5a7f4e253e1d7e3b6369e41eeb920fa6373d

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:de09c598623e90a843b086c6aeaba779dffef05fc4d9375f0c4e823dea3a7f6d

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:e1989ccb9de9287a7621670074b2fc13ff33c1eb4dd77889273d5d7089f98c41

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:29:11.706772Z digest=sha256:c11d862b7542a026b901aa3faa5d57c1122784741091463720f840f1f7174ab5

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=sha256:4330c7e87706a4b7de34f635268642cbf0b98785cca538b6466e44b8ff3af86a

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=sha256:9d4062012eda7af77426301454d4844bf60fdfe4d5832d4bfdafb39901e8da61

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=sha256:11dacb8596622c36aea7ee7340156fd256ff6e37f030ea850c78a6dc04954874

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=sha256:72f3188efc4d13a996d20a1f5109c3be9ac77f269f628eb7f1f6e28dd6c19a41

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:cc3f5219b4f79534831ab3cfff612061a1657161eb5af6d907f93baad01c253b

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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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:c4a970d5abb571d646aa1a49547a92fb362d3cd0d834f70334c1334fad56bfe5

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=sha256:0fe902a8fe82062df9a962ac1c8ed83aa1ce0d6cc8c2e2e3a8feb80ceb507794

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=sha256:100a508152f68563df89c71f5b7496044b8e3c08caf09e7b3db6b5c890eb7ce4

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

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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=sha256:1f59d3d3368f6d0cc6345a3b40e7be2f59714d3f81801fdd6fc4cbd5f276104f

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

Resolution
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=sha256:4133fb5c13ec04662db829628f871763421179fd50ed9a8bd0470c30d7cc0876

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:29:13.029154Z digest=sha256:442d60495299a6d88222b66bb0df8f0c529e5cc3c8269d4a306278190c3bf0f2

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=sha256:28d7379c1edbb4a03c51a53e8f033bd0e2e29b7fd050bf53b23e47a00a4a4a51

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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unresolved
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=sha256:90b31b48cc2755c588294d20ed5fcc1737de9de2d429fa6b6b5999c6b047340d

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:abb8b2b02991f673117f44333b88ee853d21c816d0fe9f983e1737d09393f941

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:fd2f9f3255c79b96501b03466eb51f77b029d171ca0bbc48e57a13f7b74ff1bd

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=sha256:5de2139a598d225fea9356fead77c154c5dd70137e5c7c4925c253d2d6b49eda

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=sha256:1671db1ecb0a43137cdcdfadf1d0efc2a16647b40ca5f93bc5907d0e742f3fe7

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=sha256:4570ea2090032cabd24354011b61dd9c6455c1376bdbc5812a8af5b4260accb6

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:cf1e576717cc4abcc3264e869a2d1ce5be2c51db6d0db305c91d692a5cab763f

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=sha256:078839e958acb3f052989e9403864a49a425be0677b77007d8980e6b102004f0

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=sha256:1a304aa01c46386c5d67e068d5b1894e7b9d39bf332c5801ed77027f7a251b02

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

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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=sha256:25dceb0d4dd8b115ca8c9267df8b56a5b416a25cb10b341acfe54cc863f6fc12

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=sha256:06b587a954f1105e7b9221322d7c7369e124a07ccf2c0823ed997756fb94bbf3

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=sha256:8e40681e3e230f654ce1bcb9716b94ac065fd3919d1264c3aa7f7e1f0e56fac4

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
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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:dbb7fafca9c30e3e17fe830398fe54d7be5f458201a6429fd8ec458c8e6be6c2

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:c78fb1ff0c3c022fc3a51963c7c91bae6ef25bbc290dccbb83852ef64dd39084

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=sha256:48872d06b0a1af0fd05df1c8bcd3d4f966729476c7a10bc85b1b1150dfb85696

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=sha256:7c469e583503aea783a8b1468eccddeee6391b0f0e4a5a109eccadb21970fbc8

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=sha256:3e9f39228bd4f9dd47f8a5ad504c588b08b7347a77b47acd44ffe2dafef1028c

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=sha256:75884900c199d356917691d9a81e50b04123d6d7208eec829629ff4798a0028d

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=sha256:0addc1759ad00dd6d34347d118c78460e27fc1836f7266508c15be1f1a09ce6d

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=sha256:37f98f3ca1e9015c2fd428c0f185b05b9725feaa35332c3b2930f0250c99c706

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:b9d546b5dd54aa2b6987fd7ff8b073e25c271e74aa28fb97cfb6fd496bd2da15

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:ef4fae489da401802448b12a971d03cdc24453941f297b3192b11ce1fabe6397

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:ddd4db78d427c853ff7cd9f91e28f25361e32d24cf17c8e5d4b1aac04742f403

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=sha256:5247281e08880ddecc1d00196d1856d77df51c2d13e0520bade534356b1cc0d7

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=sha256:7c395e18be1f770eacff15800636602de18e0d69ef2411205d73cfe34987c862

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=sha256:0ac8e4ee2095462cebace1518ab43feec5cc27d7c86b4b95af77a2e409aee4b3

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:aa7b8a608fce6167d2e54711c4ce75ffa965875c0ba5650b4a17449f52d383a4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T18:06:12.349285Z digest=sha256:4ea0f406b527069ba1c010b703baa8da7d42ae78f1d6ac33a5c1d6b020bcd12d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T13:28:21.961995Z digest=sha256:bcbea174af0879d8a4fa6ccbe409e123b9809cbee633c2d8116a924f97dfb731

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=sha256:4c2a351fa3489eefc7d84a4d9be959fe3e3c00d1a86f603be43b247948a8b2bc

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:e871e60f199fa8854065026c716b4e8a6f1ce279940cf5cb030a5fe18e15b69a

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=sha256:44c27dc63c0ec3db7bf42abc16d24cd57e646e9bec59ca2ff107632ab0414c5e

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=sha256:88e1470322895499535b01eab7f80e69a075db6b3a98009ee7f92bf1bba50e20

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

Rethinking Token Pruning for Historical Screenshots in GUI Visual Agents: Semantic, Spatial, and Temporal Perspectives cites this paper.

Rethinking Token Pruning for Historical Screenshots in GUI Visual Agents: Semantic, Spatial, and Temporal Perspectives 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T23:59:49.017251Z digest=sha256:1dacfe78400ed9f5652fb206b315969e0f4adb35c6a235972a6c7fcb90e1fffd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:21:32.024105Z digest=sha256:89a631e9ec3a8a27ba71d1eeabb0c995de33dc36c0ee573abb312a89dc90a4e7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T15:57:32.504665Z digest=sha256:82fb68b223c0d9cd9681566b23843f3cb5d39128d30c9d751d5f68dde8556736

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=sha256:58da6bce8c96f32e66768302e81daa4f60d2ac51dd06443bd4c705dc9ca6ad8e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T13:40:55.540869Z digest=sha256:82265882d3e98446e0efcdcc3fef3a6480972b6736393cacee8a4e90a6cd1865

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T23:05:05.251150Z digest=sha256:1c0667a0a7bda46db2f8efad8e24c1a8aaa27b9438412ab2671997dac15d19f1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T03:51:54.310805Z digest=sha256:dda9f93683d379b84ec88e095a97f4f27f845aa1c2750d47b9e5a3355ab273f1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T05:48:00.486572Z digest=sha256:54b0b9ebdc24361b105623a734f4628496a78603d6b2838cabc8033868f29645

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T12:20:42.718277Z digest=sha256:563d9894693ae955c0d094127ede0905cc9c6873c3a748df45a96809fad4c1bb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T05:18:23.310925Z digest=sha256:877422b3fcda9c323a26380d956144be91956b89dc2d65a0069f20b4efb88f08

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T12:47:01.474220Z digest=sha256:3f91e2938abd7a2ad2ce8b4426f60fc69e15af2d29de672e95ddb2835f6531e6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T22:52:04.755523Z digest=sha256:a55a1f6b67b569962e1eb25fceacb09ad018e2137138226e33251763bd336379

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T13:56:09.049753Z digest=sha256:bd3abfe68a5e457b95fa4d2e9d024a5edc072ecebb3c675678b6d0391f690543

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=sha256:1d68fd320c89d6bf03fd858f8fb77ec443f49ced226a4ff2aa1594ea39f86ed6