[
  {
    "URL": "https://arxiv.org/abs/2404.06474v3",
    "archive": "arXiv",
    "archive_location": "2404.06474",
    "author": [
      {
        "literal": "Jiayi Pan"
      },
      {
        "literal": "Yichi Zhang"
      },
      {
        "literal": "Nicholas Tomlin"
      },
      {
        "literal": "Yifei Zhou"
      },
      {
        "literal": "Sergey Levine"
      },
      {
        "literal": "Alane Suhr"
      }
    ],
    "citation-key": "arxiv_2404_06474",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "abc75ee55c7ac5992656dcec2106e286c670a58130a59b0eef7f5fd74d7496c5",
        "submitted_at": "2024-04-09T17:25:47Z",
        "updated_at": "2024-10-07T14:19:37Z",
        "version": 3,
        "versioned_url": "https://arxiv.org/abs/2404.06474v3"
      },
      "canonical_source_url": "https://arxiv.org/abs/2404.06474",
      "catalog_id": "arxiv:2404.06474",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2024-04-09",
      "identifiers": {
        "arxiv": "2404.06474"
      },
      "record_updated_at": "2024-10-07"
    },
    "genre": "preprint",
    "id": "arxiv:2404.06474",
    "issued": {
      "date-parts": [
        [
          2024,
          4,
          9
        ]
      ]
    },
    "note": "First published: 2024-04-09; Recorded arXiv version: v3; Recorded version updated: 2024-10-07T14:19:37Z.",
    "title": "Autonomous Evaluation and Refinement of Digital Agents",
    "type": "article",
    "version": "3"
  },
  {
    "URL": "https://arxiv.org/abs/2411.03817v3",
    "archive": "arXiv",
    "archive_location": "2411.03817",
    "author": [
      {
        "literal": "Zhirui Deng"
      },
      {
        "literal": "Zhicheng Dou"
      },
      {
        "literal": "Yutao Zhu"
      },
      {
        "literal": "Ji-Rong Wen"
      },
      {
        "literal": "Ruibin Xiong"
      },
      {
        "literal": "Mang Wang"
      },
      {
        "literal": "Weipeng Chen"
      }
    ],
    "citation-key": "arxiv_2411_03817",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "dd631a31f72dabe3a3bebf322031f9d686082073a8e4aa71eb65745498327f4e",
        "submitted_at": "2024-11-06T10:35:11Z",
        "updated_at": "2024-12-09T09:20:11Z",
        "version": 3,
        "versioned_url": "https://arxiv.org/abs/2411.03817v3"
      },
      "canonical_source_url": "https://arxiv.org/abs/2411.03817",
      "catalog_id": "arxiv:2411.03817",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "adjacent",
      "first_published_at": "2024-11-06",
      "identifiers": {
        "arxiv": "2411.03817"
      },
      "record_updated_at": "2024-12-09"
    },
    "genre": "preprint",
    "id": "arxiv:2411.03817",
    "issued": {
      "date-parts": [
        [
          2024,
          11,
          6
        ]
      ]
    },
    "note": "First published: 2024-11-06; Recorded arXiv version: v3; Recorded version updated: 2024-12-09T09:20:11Z.",
    "title": "From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning",
    "type": "article",
    "version": "3"
  },
  {
    "URL": "https://arxiv.org/abs/2504.16073v1",
    "archive": "arXiv",
    "archive_location": "2504.16073",
    "author": [
      {
        "literal": "Zhiyuan Hu"
      },
      {
        "literal": "Shiyun Xiong"
      },
      {
        "literal": "Yifan Zhang"
      },
      {
        "literal": "See-Kiong Ng"
      },
      {
        "literal": "Anh Tuan Luu"
      },
      {
        "literal": "Bo An"
      },
      {
        "literal": "Shuicheng Yan"
      },
      {
        "literal": "Bryan Hooi"
      }
    ],
    "citation-key": "arxiv_2504_16073",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "1353bb4651f449763ac58803b4858edf6e1d5b0ad3ab3e4c333883a1ebbaebf4",
        "submitted_at": "2025-04-22T17:52:42Z",
        "updated_at": "2025-04-22T17:52:42Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2504.16073v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2504.16073",
      "catalog_id": "arxiv:2504.16073",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2025-04-22",
      "identifiers": {
        "arxiv": "2504.16073"
      },
      "record_updated_at": "2025-04-22"
    },
    "genre": "preprint",
    "id": "arxiv:2504.16073",
    "issued": {
      "date-parts": [
        [
          2025,
          4,
          22
        ]
      ]
    },
    "note": "First published: 2025-04-22; Recorded arXiv version: v1; Recorded version updated: 2025-04-22T17:52:42Z.",
    "title": "Guiding VLM Agents with Process Rewards at Inference Time for GUI Navigation",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2507.14293v1",
    "archive": "arXiv",
    "archive_location": "2507.14293",
    "author": [
      {
        "literal": "Boyuan Zheng"
      },
      {
        "literal": "Zeyi Liao"
      },
      {
        "literal": "Scott Salisbury"
      },
      {
        "literal": "Zeyuan Liu"
      },
      {
        "literal": "Michael Lin"
      },
      {
        "literal": "Qinyuan Zheng"
      },
      {
        "literal": "Zifan Wang"
      },
      {
        "literal": "Xiang Deng"
      },
      {
        "literal": "Dawn Song"
      },
      {
        "literal": "Huan Sun"
      },
      {
        "literal": "Yu Su"
      }
    ],
    "citation-key": "arxiv_2507_14293",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "a8f082fd40174e01f40e97d64f7aa3d90e5f76e831df8f93afdc21aa2e35bfd5",
        "submitted_at": "2025-07-18T18:06:27Z",
        "updated_at": "2025-07-18T18:06:27Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2507.14293v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2507.14293",
      "catalog_id": "arxiv:2507.14293",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2025-07-18",
      "identifiers": {
        "arxiv": "2507.14293"
      },
      "record_updated_at": "2025-07-18"
    },
    "genre": "preprint",
    "id": "arxiv:2507.14293",
    "issued": {
      "date-parts": [
        [
          2025,
          7,
          18
        ]
      ]
    },
    "note": "First published: 2025-07-18; Recorded arXiv version: v1; Recorded version updated: 2025-07-18T18:06:27Z.",
    "title": "WebGuard: Building a Generalizable Guardrail for Web Agents",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2507.15846v3",
    "archive": "arXiv",
    "archive_location": "2507.15846",
    "author": [
      {
        "literal": "Fei Tang"
      },
      {
        "literal": "Zhangxuan Gu"
      },
      {
        "literal": "Zhengxi Lu"
      },
      {
        "literal": "Xuyang Liu"
      },
      {
        "literal": "Shuheng Shen"
      },
      {
        "literal": "Changhua Meng"
      },
      {
        "literal": "Wen Wang"
      },
      {
        "literal": "Wenqi Zhang"
      },
      {
        "literal": "Yongliang Shen"
      },
      {
        "literal": "Weiming Lu"
      },
      {
        "literal": "Jun Xiao"
      },
      {
        "literal": "Yueting Zhuang"
      }
    ],
    "citation-key": "arxiv_2507_15846",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "d2a2a49373259cb5903fad8c2fb48a7380732642bedd81a644e735af4f028c63",
        "submitted_at": "2025-07-21T17:53:42Z",
        "updated_at": "2025-07-28T16:54:13Z",
        "version": 3,
        "versioned_url": "https://arxiv.org/abs/2507.15846v3"
      },
      "canonical_source_url": "https://arxiv.org/abs/2507.15846",
      "catalog_id": "arxiv:2507.15846",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2025-07-21",
      "identifiers": {
        "arxiv": "2507.15846"
      },
      "record_updated_at": "2025-07-28"
    },
    "genre": "preprint",
    "id": "arxiv:2507.15846",
    "issued": {
      "date-parts": [
        [
          2025,
          7,
          21
        ]
      ]
    },
    "note": "First published: 2025-07-21; Recorded arXiv version: v3; Recorded version updated: 2025-07-28T16:54:13Z.",
    "title": "GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding",
    "type": "article",
    "version": "3"
  },
  {
    "URL": "https://arxiv.org/abs/2508.11360v2",
    "archive": "arXiv",
    "archive_location": "2508.11360",
    "author": [
      {
        "literal": "Songqin Nong"
      },
      {
        "literal": "Xiaoxuan Tang"
      },
      {
        "literal": "Jingxuan Xu"
      },
      {
        "literal": "Sheng Zhou"
      },
      {
        "literal": "Jianfeng Chen"
      },
      {
        "literal": "Tao Jiang"
      },
      {
        "literal": "Wenhao Xu"
      }
    ],
    "citation-key": "arxiv_2508_11360",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "ea849d8e7640d7a40d582431233418cf1cbd29585ca6c78638919b8832265445",
        "submitted_at": "2025-08-15T09:55:02Z",
        "updated_at": "2026-03-13T11:10:50Z",
        "version": 2,
        "versioned_url": "https://arxiv.org/abs/2508.11360v2"
      },
      "canonical_source_url": "https://arxiv.org/abs/2508.11360",
      "catalog_id": "arxiv:2508.11360",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2025-08-15",
      "identifiers": {
        "arxiv": "2508.11360"
      },
      "record_updated_at": "2026-03-13"
    },
    "genre": "preprint",
    "id": "arxiv:2508.11360",
    "issued": {
      "date-parts": [
        [
          2025,
          8,
          15
        ]
      ]
    },
    "note": "First published: 2025-08-15; Recorded arXiv version: v2; Recorded version updated: 2026-03-13T11:10:50Z.",
    "title": "CRAFT-GUI: Curriculum-Reinforced Agent For GUI Tasks",
    "type": "article",
    "version": "2"
  },
  {
    "URL": "https://arxiv.org/abs/2509.14172v2",
    "archive": "arXiv",
    "archive_location": "2509.14172",
    "author": [
      {
        "literal": "Ziyuan Chen"
      },
      {
        "literal": "Zhenghui Zhao"
      },
      {
        "literal": "Zhangye Han"
      },
      {
        "literal": "Miancan Liu"
      },
      {
        "literal": "Xianhang Ye"
      },
      {
        "literal": "Yiqing Li"
      },
      {
        "literal": "Hongbo Min"
      },
      {
        "literal": "Jinkui Ren"
      },
      {
        "literal": "Xiantao Zhang"
      },
      {
        "literal": "Guitao Cao"
      }
    ],
    "citation-key": "arxiv_2509_14172",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "cc1e4f78f1d3ffdb1b67f7c0bb645561a76db19dfa5f442fa9aa0a0d4d1ae0de",
        "submitted_at": "2025-09-17T16:58:44Z",
        "updated_at": "2025-09-19T02:13:09Z",
        "version": 2,
        "versioned_url": "https://arxiv.org/abs/2509.14172v2"
      },
      "canonical_source_url": "https://arxiv.org/abs/2509.14172",
      "catalog_id": "arxiv:2509.14172",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2025-09-17",
      "identifiers": {
        "arxiv": "2509.14172"
      },
      "record_updated_at": "2025-09-19"
    },
    "genre": "preprint",
    "id": "arxiv:2509.14172",
    "issued": {
      "date-parts": [
        [
          2025,
          9,
          17
        ]
      ]
    },
    "note": "First published: 2025-09-17; Recorded arXiv version: v2; Recorded version updated: 2025-09-19T02:13:09Z.",
    "title": "TGPO: Tree-Guided Preference Optimization for Robust Web Agent Reinforcement Learning",
    "type": "article",
    "version": "2"
  },
  {
    "URL": "https://arxiv.org/abs/2509.17917v1",
    "archive": "arXiv",
    "archive_location": "2509.17917",
    "author": [
      {
        "literal": "Junyu Lu"
      },
      {
        "literal": "Songxin Zhang"
      },
      {
        "literal": "Zejian Xie"
      },
      {
        "literal": "Zhuoyang Song"
      },
      {
        "literal": "Jiaxing Zhang"
      }
    ],
    "citation-key": "arxiv_2509_17917",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "7b85c9bae829bad343dd6f57c866ea100859fa0ad67f5c1a3ac9b3e53d617486",
        "submitted_at": "2025-09-22T15:40:31Z",
        "updated_at": "2025-09-22T15:40:31Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2509.17917v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2509.17917",
      "catalog_id": "arxiv:2509.17917",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2025-09-22",
      "identifiers": {
        "arxiv": "2509.17917"
      },
      "record_updated_at": "2025-09-22"
    },
    "genre": "preprint",
    "id": "arxiv:2509.17917",
    "issued": {
      "date-parts": [
        [
          2025,
          9,
          22
        ]
      ]
    },
    "note": "First published: 2025-09-22; Recorded arXiv version: v1; Recorded version updated: 2025-09-22T15:40:31Z.",
    "title": "Orcust: Stepwise-Feedback Reinforcement Learning for GUI Agent",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2509.21823v2",
    "archive": "arXiv",
    "archive_location": "2509.21823",
    "author": [
      {
        "literal": "Gaole Dai"
      },
      {
        "literal": "Shiqi Jiang"
      },
      {
        "literal": "Ting Cao"
      },
      {
        "literal": "Yuqing Yang"
      },
      {
        "literal": "Yuanchun Li"
      },
      {
        "literal": "Rui Tan"
      },
      {
        "literal": "Mo Li"
      },
      {
        "literal": "Lili Qiu"
      }
    ],
    "citation-key": "arxiv_2509_21823",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "c96f310fb0f28888c59dce71d08697b603e7a7562fdf99b51e3504b93e9e81b3",
        "submitted_at": "2025-09-26T03:29:36Z",
        "updated_at": "2026-04-15T09:19:46Z",
        "version": 2,
        "versioned_url": "https://arxiv.org/abs/2509.21823v2"
      },
      "canonical_source_url": "https://arxiv.org/abs/2509.21823",
      "catalog_id": "arxiv:2509.21823",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2025-09-26",
      "identifiers": {
        "arxiv": "2509.21823"
      },
      "record_updated_at": "2026-04-15"
    },
    "genre": "preprint",
    "id": "arxiv:2509.21823",
    "issued": {
      "date-parts": [
        [
          2025,
          9,
          26
        ]
      ]
    },
    "note": "First published: 2025-09-26; Recorded arXiv version: v2; Recorded version updated: 2026-04-15T09:19:46Z.",
    "title": "ProRe: A Proactive Reward System for GUI Agents via Reasoner-Actor Collaboration",
    "type": "article",
    "version": "2"
  },
  {
    "URL": "https://arxiv.org/abs/2509.23263v3",
    "archive": "arXiv",
    "archive_location": "2509.23263",
    "author": [
      {
        "literal": "Tao Xiong"
      },
      {
        "literal": "Xavier Hu"
      },
      {
        "literal": "Yurun Chen"
      },
      {
        "literal": "Yuhang Liu"
      },
      {
        "literal": "Changqiao Wu"
      },
      {
        "literal": "Pengzhi Gao"
      },
      {
        "literal": "Wei Liu"
      },
      {
        "literal": "Jian Luan"
      },
      {
        "literal": "Shengyu Zhang"
      }
    ],
    "citation-key": "arxiv_2509_23263",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "5b5375e77f087367383bb5de96cec46d8de6550d9a44bff6965b9201b6718a05",
        "submitted_at": "2025-09-27T11:42:36Z",
        "updated_at": "2026-08-30T18:12:14Z",
        "version": 3,
        "versioned_url": "https://arxiv.org/abs/2509.23263v3"
      },
      "canonical_source_url": "https://arxiv.org/abs/2509.23263",
      "catalog_id": "arxiv:2509.23263",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2025-09-27",
      "identifiers": {
        "arxiv": "2509.23263"
      },
      "record_updated_at": "2026-08-30"
    },
    "genre": "preprint",
    "id": "arxiv:2509.23263",
    "issued": {
      "date-parts": [
        [
          2025,
          9,
          27
        ]
      ]
    },
    "note": "First published: 2025-09-27; Recorded arXiv version: v3; Recorded version updated: 2026-08-30T18:12:14Z.",
    "title": "GUI-PRA: Process Reward Agent for GUI Tasks",
    "type": "article",
    "version": "3"
  },
  {
    "URL": "https://arxiv.org/abs/2510.02250v2",
    "archive": "arXiv",
    "archive_location": "2510.02250",
    "author": [
      {
        "literal": "Gonzalo Gonzalez-Pumariega"
      },
      {
        "literal": "Vincent Tu"
      },
      {
        "literal": "Chih-Lun Lee"
      },
      {
        "literal": "Jiachen Yang"
      },
      {
        "literal": "Ang Li"
      },
      {
        "literal": "Xin Eric Wang"
      }
    ],
    "citation-key": "arxiv_2510_02250",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "29c00ba4713da26f912fec8046d498b4fd10cf71a3109f66e92fa23f7cebcf44",
        "submitted_at": "2025-10-02T17:37:08Z",
        "updated_at": "2026-02-03T23:48:45Z",
        "version": 2,
        "versioned_url": "https://arxiv.org/abs/2510.02250v2"
      },
      "canonical_source_url": "https://arxiv.org/abs/2510.02250",
      "catalog_id": "arxiv:2510.02250",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2025-10-02",
      "identifiers": {
        "arxiv": "2510.02250"
      },
      "record_updated_at": "2026-02-03"
    },
    "genre": "preprint",
    "id": "arxiv:2510.02250",
    "issued": {
      "date-parts": [
        [
          2025,
          10,
          2
        ]
      ]
    },
    "note": "First published: 2025-10-02; Recorded arXiv version: v2; Recorded version updated: 2026-02-03T23:48:45Z.",
    "title": "Scaling Agents for Computer Use",
    "type": "article",
    "version": "2"
  },
  {
    "URL": "https://arxiv.org/abs/2512.10962v3",
    "archive": "arXiv",
    "archive_location": "2512.10962",
    "author": [
      {
        "literal": "Yifei He"
      },
      {
        "literal": "Pranit Chawla"
      },
      {
        "literal": "Yaser Souri"
      },
      {
        "literal": "Subhojit Som"
      },
      {
        "literal": "Xia Song"
      }
    ],
    "citation-key": "arxiv_2512_10962",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "a7ccc7923f4e6f2ea296b4a6bfc28ba4dc7a52ed256008f153f13fccac3f018f",
        "submitted_at": "2025-11-22T23:12:56Z",
        "updated_at": "2026-02-04T19:36:03Z",
        "version": 3,
        "versioned_url": "https://arxiv.org/abs/2512.10962v3"
      },
      "canonical_source_url": "https://arxiv.org/abs/2512.10962",
      "catalog_id": "arxiv:2512.10962",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2025-11-22",
      "identifiers": {
        "arxiv": "2512.10962"
      },
      "record_updated_at": "2026-02-04"
    },
    "genre": "preprint",
    "id": "arxiv:2512.10962",
    "issued": {
      "date-parts": [
        [
          2025,
          11,
          22
        ]
      ]
    },
    "note": "First published: 2025-11-22; Recorded arXiv version: v3; Recorded version updated: 2026-02-04T19:36:03Z.",
    "title": "WebSTAR: Scalable Data Synthesis for Computer Use Agents with Step-Level Filtering",
    "type": "article",
    "version": "3"
  },
  {
    "URL": "https://arxiv.org/abs/2512.15431v2",
    "archive": "arXiv",
    "archive_location": "2512.15431",
    "author": [
      {
        "literal": "Haolong Yan"
      },
      {
        "literal": "Jia Wang"
      },
      {
        "literal": "Xin Huang"
      },
      {
        "literal": "Yeqing Shen"
      },
      {
        "literal": "Ziyang Meng"
      },
      {
        "literal": "Zhimin Fan"
      },
      {
        "literal": "Kaijun Tan"
      },
      {
        "literal": "Jin Gao"
      },
      {
        "literal": "Lieyu Shi"
      },
      {
        "literal": "Mi Yang"
      },
      {
        "literal": "Shiliang Yang"
      },
      {
        "literal": "Zhirui Wang"
      },
      {
        "literal": "Brian Li"
      },
      {
        "literal": "Kang An"
      },
      {
        "literal": "Chenyang Li"
      },
      {
        "literal": "Lei Lei"
      },
      {
        "literal": "Mengmeng Duan"
      },
      {
        "literal": "Danxun Liang"
      },
      {
        "literal": "Guodong Liu"
      },
      {
        "literal": "Hang Cheng"
      },
      {
        "literal": "Hao Wu"
      },
      {
        "literal": "Jie Dong"
      },
      {
        "literal": "Junhao Huang"
      },
      {
        "literal": "Mei Chen"
      },
      {
        "literal": "Renjie Yu"
      },
      {
        "literal": "Shunshan Li"
      },
      {
        "literal": "Xu Zhou"
      },
      {
        "literal": "Yiting Dai"
      },
      {
        "literal": "Yineng Deng"
      },
      {
        "literal": "Yingdan Liang"
      },
      {
        "literal": "Zelin Chen"
      },
      {
        "literal": "Wen Sun"
      },
      {
        "literal": "Chengxu Yan"
      },
      {
        "literal": "Chunqin Xu"
      },
      {
        "literal": "Dong Li"
      },
      {
        "literal": "Fengqiong Xiao"
      },
      {
        "literal": "Guanghao Fan"
      },
      {
        "literal": "Guopeng Li"
      },
      {
        "literal": "Guozhen Peng"
      },
      {
        "literal": "Hongbing Li"
      },
      {
        "literal": "Hang Li"
      },
      {
        "literal": "Hongming Chen"
      },
      {
        "literal": "Jingjing Xie"
      },
      {
        "literal": "Jianyong Li"
      },
      {
        "literal": "Jingyang Zhang"
      },
      {
        "literal": "Jiaju Ren"
      },
      {
        "literal": "Jiayu Yuan"
      },
      {
        "literal": "Jianpeng Yin"
      },
      {
        "literal": "Kai Cao"
      },
      {
        "literal": "Liang Zhao"
      },
      {
        "literal": "Liguo Tan"
      },
      {
        "literal": "Liying Shi"
      },
      {
        "literal": "Mengqiang Ren"
      },
      {
        "literal": "Min Xu"
      },
      {
        "literal": "Manjiao Liu"
      },
      {
        "literal": "Mao Luo"
      },
      {
        "literal": "Mingxin Wan"
      },
      {
        "literal": "Na Wang"
      },
      {
        "literal": "Nan Wu"
      },
      {
        "literal": "Ning Wang"
      },
      {
        "literal": "Peiyao Ma"
      },
      {
        "literal": "Qingzhou Zhang"
      },
      {
        "literal": "Qiao Wang"
      },
      {
        "literal": "Qinlin Zeng"
      },
      {
        "literal": "Qiong Gao"
      },
      {
        "literal": "Qiongyao Li"
      },
      {
        "literal": "Shangwu Zhong"
      },
      {
        "literal": "Shuli Gao"
      },
      {
        "literal": "Shaofan Liu"
      },
      {
        "literal": "Shisi Gao"
      },
      {
        "literal": "Shuang Luo"
      },
      {
        "literal": "Xingbin Liu"
      },
      {
        "literal": "Xiaojia Liu"
      },
      {
        "literal": "Xiaojie Hou"
      },
      {
        "literal": "Xin Liu"
      },
      {
        "literal": "Xuanti Feng"
      },
      {
        "literal": "Xuedan Cai"
      },
      {
        "literal": "Xuan Wen"
      },
      {
        "literal": "Xianwei Zhu"
      },
      {
        "literal": "Xin Liang"
      },
      {
        "literal": "Xin Liu"
      },
      {
        "literal": "Xin Zhou"
      },
      {
        "literal": "Yifan Sui"
      },
      {
        "literal": "Yingxiu Zhao"
      },
      {
        "literal": "Yukang Shi"
      },
      {
        "literal": "Yunfang Xu"
      },
      {
        "literal": "Yuqing Zeng"
      },
      {
        "literal": "Yixun Zhang"
      },
      {
        "literal": "Zejia Weng"
      },
      {
        "literal": "Zhonghao Yan"
      },
      {
        "literal": "Zhiguo Huang"
      },
      {
        "literal": "Zhuoyu Wang"
      },
      {
        "literal": "Zihan Yan"
      },
      {
        "literal": "Zheng Ge"
      },
      {
        "literal": "Jing Li"
      },
      {
        "literal": "Yibo Zhu"
      },
      {
        "literal": "Binxing Jiao"
      },
      {
        "literal": "Xiangyu Zhang"
      },
      {
        "literal": "Daxin Jiang"
      }
    ],
    "citation-key": "arxiv_2512_15431",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "2fc824bdeabca3451fd895447a0321c507da1ac7bc7cc24184c7768992549daf",
        "submitted_at": "2025-12-17T13:26:30Z",
        "updated_at": "2025-12-19T17:36:21Z",
        "version": 2,
        "versioned_url": "https://arxiv.org/abs/2512.15431v2"
      },
      "canonical_source_url": "https://arxiv.org/abs/2512.15431",
      "catalog_id": "arxiv:2512.15431",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2025-12-17",
      "identifiers": {
        "arxiv": "2512.15431"
      },
      "record_updated_at": "2025-12-19"
    },
    "genre": "preprint",
    "id": "arxiv:2512.15431",
    "issued": {
      "date-parts": [
        [
          2025,
          12,
          17
        ]
      ]
    },
    "note": "First published: 2025-12-17; Recorded arXiv version: v2; Recorded version updated: 2025-12-19T17:36:21Z.",
    "title": "Step-GUI Technical Report",
    "type": "article",
    "version": "2"
  },
  {
    "URL": "https://arxiv.org/abs/2512.16295v1",
    "archive": "arXiv",
    "archive_location": "2512.16295",
    "author": [
      {
        "literal": "Zhenyu Wu"
      },
      {
        "literal": "Jingjing Xie"
      },
      {
        "literal": "Zehao Li"
      },
      {
        "literal": "Bowen Yang"
      },
      {
        "literal": "Qiushi Sun"
      },
      {
        "literal": "Zhaoyang Liu"
      },
      {
        "literal": "Zhoumianze Liu"
      },
      {
        "literal": "Yu Qiao"
      },
      {
        "literal": "Xiangyu Yue"
      },
      {
        "literal": "Zun Wang"
      },
      {
        "literal": "Zichen Ding"
      }
    ],
    "citation-key": "arxiv_2512_16295",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "67a1bd40b117b34e5fb994b1c2c93cd285714097d1bc9730baeeaba6c31a7b8a",
        "submitted_at": "2025-12-18T08:29:50Z",
        "updated_at": "2025-12-18T08:29:50Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2512.16295v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2512.16295",
      "catalog_id": "arxiv:2512.16295",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2025-12-18",
      "identifiers": {
        "arxiv": "2512.16295"
      },
      "record_updated_at": "2025-12-18"
    },
    "genre": "preprint",
    "id": "arxiv:2512.16295",
    "issued": {
      "date-parts": [
        [
          2025,
          12,
          18
        ]
      ]
    },
    "note": "First published: 2025-12-18; Recorded arXiv version: v1; Recorded version updated: 2025-12-18T08:29:50Z.",
    "title": "OS-Oracle: A Comprehensive Framework for Cross-Platform GUI Critic Models",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2512.19396v3",
    "archive": "arXiv",
    "archive_location": "2512.19396",
    "author": [
      {
        "literal": "Runze Li"
      },
      {
        "literal": "Yuwen Zhai"
      },
      {
        "literal": "Bo Xu"
      },
      {
        "literal": "LiWu Xu"
      },
      {
        "literal": "Nian Shi"
      },
      {
        "literal": "Wei Zhang"
      },
      {
        "literal": "Ran Lin"
      },
      {
        "literal": "Liang Wang"
      }
    ],
    "citation-key": "arxiv_2512_19396",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "03cdf8514fa9f036b4614a880d842d49bb9cb0a821858b7215784fba209faa62",
        "submitted_at": "2025-12-22T13:42:18Z",
        "updated_at": "2026-04-10T06:20:00Z",
        "version": 3,
        "versioned_url": "https://arxiv.org/abs/2512.19396v3"
      },
      "canonical_source_url": "https://arxiv.org/abs/2512.19396",
      "catalog_id": "arxiv:2512.19396",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2025-12-22",
      "identifiers": {
        "arxiv": "2512.19396"
      },
      "record_updated_at": "2026-04-10"
    },
    "genre": "preprint",
    "id": "arxiv:2512.19396",
    "issued": {
      "date-parts": [
        [
          2025,
          12,
          22
        ]
      ]
    },
    "note": "First published: 2025-12-22; Recorded arXiv version: v3; Recorded version updated: 2026-04-10T06:20:00Z.",
    "title": "EchoTrail-GUI: Building Actionable Memory for GUI Agents via Critic-Guided Self-Exploration",
    "type": "article",
    "version": "3"
  },
  {
    "URL": "https://arxiv.org/abs/2601.13060v1",
    "archive": "arXiv",
    "archive_location": "2601.13060",
    "author": [
      {
        "literal": "Zecheng Li"
      },
      {
        "literal": "Zhihui Cao"
      },
      {
        "literal": "Wenke Huang"
      },
      {
        "literal": "Yudong Zhang"
      },
      {
        "literal": "Keying Qi"
      },
      {
        "literal": "Rui Wang"
      },
      {
        "literal": "Zeyu Zheng"
      },
      {
        "literal": "Jian Zhao"
      },
      {
        "literal": "Hao Zhu"
      },
      {
        "literal": "Hengxin Wu"
      },
      {
        "literal": "Yuran Wang"
      },
      {
        "literal": "Guitao Fan"
      },
      {
        "literal": "Guokun Wu"
      },
      {
        "literal": "Yicong Liu"
      },
      {
        "literal": "Zhilin Gao"
      },
      {
        "literal": "Haikun Xu"
      },
      {
        "literal": "He Yang"
      },
      {
        "literal": "Minqi Xiang"
      },
      {
        "literal": "Xingyu Liu"
      },
      {
        "literal": "Zuojian Wang"
      }
    ],
    "citation-key": "arxiv_2601_13060",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "aa8cb4137e862bf8031a55bc8f81e1d6c903733f2cfac9cf758e5f2f92884481",
        "submitted_at": "2026-01-19T13:50:43Z",
        "updated_at": "2026-01-19T13:50:43Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2601.13060v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2601.13060",
      "catalog_id": "arxiv:2601.13060",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-01-19",
      "identifiers": {
        "arxiv": "2601.13060"
      },
      "record_updated_at": "2026-01-19"
    },
    "genre": "preprint",
    "id": "arxiv:2601.13060",
    "issued": {
      "date-parts": [
        [
          2026,
          1,
          19
        ]
      ]
    },
    "note": "First published: 2026-01-19; Recorded arXiv version: v1; Recorded version updated: 2026-01-19T13:50:43Z.",
    "title": "MagicGUI-RMS: A Multi-Agent Reward Model System for Self-Evolving GUI Agents via Automated Feedback Reflux",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2601.18197v2",
    "archive": "arXiv",
    "archive_location": "2601.18197",
    "author": [
      {
        "literal": "Shaokang Wang"
      },
      {
        "literal": "Pei Fu"
      },
      {
        "literal": "Ruoceng Zhang"
      },
      {
        "literal": "Shaojie Zhang"
      },
      {
        "literal": "Xiuwen Xi"
      },
      {
        "literal": "Jiahui Yang"
      },
      {
        "literal": "Bin Qin"
      },
      {
        "literal": "Ying Huang"
      },
      {
        "literal": "Zhenbo Luo"
      },
      {
        "literal": "Jian Luan"
      }
    ],
    "citation-key": "arxiv_2601_18197",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "ccb46b86b0c0b854ed2f1e17f9e12bf031c5ed1349f3d3c44d3276b2a3a195ee",
        "submitted_at": "2026-01-26T06:29:41Z",
        "updated_at": "2026-06-26T07:19:55Z",
        "version": 2,
        "versioned_url": "https://arxiv.org/abs/2601.18197v2"
      },
      "canonical_source_url": "https://arxiv.org/abs/2601.18197",
      "catalog_id": "arxiv:2601.18197",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-01-26",
      "identifiers": {
        "arxiv": "2601.18197"
      },
      "record_updated_at": "2026-06-26"
    },
    "genre": "preprint",
    "id": "arxiv:2601.18197",
    "issued": {
      "date-parts": [
        [
          2026,
          1,
          26
        ]
      ]
    },
    "note": "First published: 2026-01-26; Recorded arXiv version: v2; Recorded version updated: 2026-06-26T07:19:55Z.",
    "title": "GAIA: A Data Flywheel System for Training GUI Test-Time Scaling Critic Models",
    "type": "article",
    "version": "2"
  },
  {
    "URL": "https://arxiv.org/abs/2601.21872v2",
    "archive": "arXiv",
    "archive_location": "2601.21872",
    "author": [
      {
        "literal": "Yao Zhang"
      },
      {
        "literal": "Shijie Tang"
      },
      {
        "literal": "Zeyu Li"
      },
      {
        "literal": "Zhen Han"
      },
      {
        "literal": "Volker Tresp"
      }
    ],
    "citation-key": "arxiv_2601_21872",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "68ae67856eb871d9a8f259dfb180bde02d29ee97fd7abf0e60719fc2c7abd7ab",
        "submitted_at": "2026-01-29T15:39:50Z",
        "updated_at": "2026-04-09T17:48:11Z",
        "version": 2,
        "versioned_url": "https://arxiv.org/abs/2601.21872v2"
      },
      "canonical_source_url": "https://arxiv.org/abs/2601.21872",
      "catalog_id": "arxiv:2601.21872",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-01-29",
      "identifiers": {
        "arxiv": "2601.21872"
      },
      "record_updated_at": "2026-04-09"
    },
    "genre": "preprint",
    "id": "arxiv:2601.21872",
    "issued": {
      "date-parts": [
        [
          2026,
          1,
          29
        ]
      ]
    },
    "note": "First published: 2026-01-29; Recorded arXiv version: v2; Recorded version updated: 2026-04-09T17:48:11Z.",
    "title": "WebArbiter: A Principle-Guided Reasoning Process Reward Model for Web Agents",
    "type": "article",
    "version": "2"
  },
  {
    "URL": "https://arxiv.org/abs/2602.00575v2",
    "archive": "arXiv",
    "archive_location": "2602.00575",
    "author": [
      {
        "literal": "Chaoqun Cui"
      },
      {
        "literal": "Jing Huang"
      },
      {
        "literal": "Shijing Wang"
      },
      {
        "literal": "Liming Zheng"
      },
      {
        "literal": "Qingchao Kong"
      },
      {
        "literal": "Zhixiong Zeng"
      }
    ],
    "citation-key": "arxiv_2602_00575",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "86225f2e52e1394e2a0a56b1e82327d756bff95739e01ce7cc5898af49944aba",
        "submitted_at": "2026-01-31T07:36:54Z",
        "updated_at": "2026-07-25T06:54:35Z",
        "version": 2,
        "versioned_url": "https://arxiv.org/abs/2602.00575v2"
      },
      "canonical_source_url": "https://arxiv.org/abs/2602.00575",
      "catalog_id": "arxiv:2602.00575",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-01-31",
      "identifiers": {
        "arxiv": "2602.00575"
      },
      "record_updated_at": "2026-07-25"
    },
    "genre": "preprint",
    "id": "arxiv:2602.00575",
    "issued": {
      "date-parts": [
        [
          2026,
          1,
          31
        ]
      ]
    },
    "note": "First published: 2026-01-31; Recorded arXiv version: v2; Recorded version updated: 2026-07-25T06:54:35Z.",
    "title": "Agentic Reward Modeling: Verifying GUI Agent via Progressive Trajectory-Grounded Interaction",
    "type": "article",
    "version": "2"
  },
  {
    "URL": "https://arxiv.org/abs/2602.10356v2",
    "archive": "arXiv",
    "archive_location": "2602.10356",
    "author": [
      {
        "literal": "Tianci Xue"
      },
      {
        "literal": "Zeyi Liao"
      },
      {
        "literal": "Tianneng Shi"
      },
      {
        "literal": "Zilu Wang"
      },
      {
        "literal": "Kai Zhang"
      },
      {
        "literal": "Dawn Song"
      },
      {
        "literal": "Yu Su"
      },
      {
        "literal": "Huan Sun"
      }
    ],
    "citation-key": "arxiv_2602_10356",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "d3385966e7b483b33738b3c8e6c9a4d9cf17afa671e1f2e49de4f946cbc5f251",
        "submitted_at": "2026-02-10T23:06:02Z",
        "updated_at": "2026-05-11T00:11:46Z",
        "version": 2,
        "versioned_url": "https://arxiv.org/abs/2602.10356v2"
      },
      "canonical_source_url": "https://arxiv.org/abs/2602.10356",
      "catalog_id": "arxiv:2602.10356",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-02-10",
      "identifiers": {
        "arxiv": "2602.10356"
      },
      "record_updated_at": "2026-05-11"
    },
    "genre": "preprint",
    "id": "arxiv:2602.10356",
    "issued": {
      "date-parts": [
        [
          2026,
          2,
          10
        ]
      ]
    },
    "note": "First published: 2026-02-10; Recorded arXiv version: v2; Recorded version updated: 2026-05-11T00:11:46Z.",
    "title": "Autonomous Continual Learning for Environment Adaptation of Computer-Use Agents",
    "type": "article",
    "version": "2"
  },
  {
    "URL": "https://arxiv.org/abs/2602.11524v1",
    "archive": "arXiv",
    "archive_location": "2602.11524",
    "author": [
      {
        "literal": "Congmin Zheng"
      },
      {
        "literal": "Xiaoyun Mo"
      },
      {
        "literal": "Xinbei Ma"
      },
      {
        "literal": "Qiqiang Lin"
      },
      {
        "literal": "Yin Zhao"
      },
      {
        "literal": "Jiachen Zhu"
      },
      {
        "literal": "Xingyu Lou"
      },
      {
        "literal": "Jun Wang"
      },
      {
        "literal": "Zhaoxiang Wang"
      },
      {
        "literal": "Weiwen Liu"
      },
      {
        "literal": "Zhuosheng Zhang"
      },
      {
        "literal": "Yong Yu"
      },
      {
        "literal": "Weinan Zhang"
      }
    ],
    "citation-key": "arxiv_2602_11524",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "ffec5a47e31b541cfdf0fb3c143b55cbb28119463731d9a6f3add0fe116caea9",
        "submitted_at": "2026-02-12T03:31:40Z",
        "updated_at": "2026-02-12T03:31:40Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2602.11524v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2602.11524",
      "catalog_id": "arxiv:2602.11524",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-02-12",
      "identifiers": {
        "arxiv": "2602.11524"
      },
      "record_updated_at": "2026-02-12"
    },
    "genre": "preprint",
    "id": "arxiv:2602.11524",
    "issued": {
      "date-parts": [
        [
          2026,
          2,
          12
        ]
      ]
    },
    "note": "First published: 2026-02-12; Recorded arXiv version: v1; Recorded version updated: 2026-02-12T03:31:40Z.",
    "title": "Adaptive Milestone Reward for GUI Agents",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2602.13653v1",
    "archive": "arXiv",
    "archive_location": "2602.13653",
    "author": [
      {
        "literal": "Yibo Wang"
      },
      {
        "literal": "Guangda Huzhang"
      },
      {
        "literal": "Yuwei Hu"
      },
      {
        "literal": "Yu Xia"
      },
      {
        "literal": "Shiyin Lu"
      },
      {
        "literal": "Qing-Guo Chen"
      },
      {
        "literal": "Zhao Xu"
      },
      {
        "literal": "Weihua Luo"
      },
      {
        "literal": "Kaifu Zhang"
      },
      {
        "literal": "Lijun Zhang"
      }
    ],
    "citation-key": "arxiv_2602_13653",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "573d859133ec9986af92e1943d0ec913d914acf4e54a030a4b103181ba505ae0",
        "submitted_at": "2026-02-14T07:44:47Z",
        "updated_at": "2026-02-14T07:44:47Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2602.13653v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2602.13653",
      "catalog_id": "arxiv:2602.13653",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-02-14",
      "identifiers": {
        "arxiv": "2602.13653"
      },
      "record_updated_at": "2026-02-14"
    },
    "genre": "preprint",
    "id": "arxiv:2602.13653",
    "issued": {
      "date-parts": [
        [
          2026,
          2,
          14
        ]
      ]
    },
    "note": "First published: 2026-02-14; Recorded arXiv version: v1; Recorded version updated: 2026-02-14T07:44:47Z.",
    "title": "Building Autonomous GUI Navigation via Agentic-Q Estimation and Step-Wise Policy Optimization",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2603.10178v1",
    "archive": "arXiv",
    "archive_location": "2603.10178",
    "author": [
      {
        "literal": "Linxin Song"
      },
      {
        "literal": "Jieyu Zhang"
      },
      {
        "literal": "Huanxin Sheng"
      },
      {
        "literal": "Taiwei Shi"
      },
      {
        "literal": "Gupta Rahul"
      },
      {
        "literal": "Yang Liu"
      },
      {
        "literal": "Ranjay Krishna"
      },
      {
        "literal": "Jian Kang"
      },
      {
        "literal": "Jieyu Zhao"
      }
    ],
    "citation-key": "arxiv_2603_10178",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "22b3001540ac8cc75117cdfb4f381462fe7df3fe7700a86e14b9f522803316ac",
        "submitted_at": "2026-03-10T19:17:22Z",
        "updated_at": "2026-03-10T19:17:22Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2603.10178v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2603.10178",
      "catalog_id": "arxiv:2603.10178",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-03-10",
      "identifiers": {
        "arxiv": "2603.10178"
      },
      "record_updated_at": "2026-03-10"
    },
    "genre": "preprint",
    "id": "arxiv:2603.10178",
    "issued": {
      "date-parts": [
        [
          2026,
          3,
          10
        ]
      ]
    },
    "note": "First published: 2026-03-10; Recorded arXiv version: v1; Recorded version updated: 2026-03-10T19:17:22Z.",
    "title": "Video-Based Reward Modeling for Computer-Use Agents",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2603.19191v1",
    "archive": "arXiv",
    "archive_location": "2603.19191",
    "author": [
      {
        "literal": "Zehao Li"
      },
      {
        "literal": "Zhenyu Wu"
      },
      {
        "literal": "Yibo Zhao"
      },
      {
        "literal": "Bowen Yang"
      },
      {
        "literal": "Jingjing Xie"
      },
      {
        "literal": "Zhaoyang Liu"
      },
      {
        "literal": "Zhoumianze Liu"
      },
      {
        "literal": "Kaiming Jin"
      },
      {
        "literal": "Jianze Liang"
      },
      {
        "literal": "Zonglin Li"
      },
      {
        "literal": "Feng Wu"
      },
      {
        "literal": "Bowen Zhou"
      },
      {
        "literal": "Zun Wang"
      },
      {
        "literal": "Zichen Ding"
      }
    ],
    "citation-key": "arxiv_2603_19191",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "ff31371580af6a0c43a6c26f076d5060ee06f974d3a6c1ade67348dc0af4859d",
        "submitted_at": "2026-03-19T17:47:47Z",
        "updated_at": "2026-03-19T17:47:47Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2603.19191v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2603.19191",
      "catalog_id": "arxiv:2603.19191",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-03-19",
      "identifiers": {
        "arxiv": "2603.19191"
      },
      "record_updated_at": "2026-03-19"
    },
    "genre": "preprint",
    "id": "arxiv:2603.19191",
    "issued": {
      "date-parts": [
        [
          2026,
          3,
          19
        ]
      ]
    },
    "note": "First published: 2026-03-19; Recorded arXiv version: v1; Recorded version updated: 2026-03-19T17:47:47Z.",
    "title": "OS-Themis: A Scalable Critic Framework for Generalist GUI Rewards",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2603.19685v1",
    "archive": "arXiv",
    "archive_location": "2603.19685",
    "author": [
      {
        "literal": "Taiyi Wang"
      },
      {
        "literal": "Sian Gooding"
      },
      {
        "literal": "Florian Hartmann"
      },
      {
        "literal": "Oriana Riva"
      },
      {
        "literal": "Edward Grefenstette"
      }
    ],
    "citation-key": "arxiv_2603_19685",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "5538933a0e3d11df6ff4d767849979703d83412599fbbb0f8b432c4d9850633b",
        "submitted_at": "2026-03-20T06:32:16Z",
        "updated_at": "2026-03-20T06:32:16Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2603.19685v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2603.19685",
      "catalog_id": "arxiv:2603.19685",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-03-20",
      "identifiers": {
        "arxiv": "2603.19685"
      },
      "record_updated_at": "2026-03-20"
    },
    "genre": "preprint",
    "id": "arxiv:2603.19685",
    "issued": {
      "date-parts": [
        [
          2026,
          3,
          20
        ]
      ]
    },
    "note": "First published: 2026-03-20; Recorded arXiv version: v1; Recorded version updated: 2026-03-20T06:32:16Z.",
    "title": "A Subgoal-driven Framework for Improving Long-Horizon LLM Agents",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2604.05157v3",
    "archive": "arXiv",
    "archive_location": "2604.05157",
    "author": [
      {
        "literal": "Rongqian Chen"
      },
      {
        "literal": "Yu Li"
      },
      {
        "literal": "Zeyu Fang"
      },
      {
        "literal": "Sizhe Tang"
      },
      {
        "literal": "Weidong Cao"
      },
      {
        "literal": "Tian Lan"
      }
    ],
    "citation-key": "arxiv_2604_05157",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "238aac264fb21022f7c546ae3aa3f4ea104c381f5d318f6d962f22fb00095216",
        "submitted_at": "2026-04-06T20:39:30Z",
        "updated_at": "2026-05-28T08:13:55Z",
        "version": 3,
        "versioned_url": "https://arxiv.org/abs/2604.05157v3"
      },
      "canonical_source_url": "https://arxiv.org/abs/2604.05157",
      "catalog_id": "arxiv:2604.05157",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-04-06",
      "identifiers": {
        "arxiv": "2604.05157"
      },
      "record_updated_at": "2026-05-28"
    },
    "genre": "preprint",
    "id": "arxiv:2604.05157",
    "issued": {
      "date-parts": [
        [
          2026,
          4,
          6
        ]
      ]
    },
    "note": "First published: 2026-04-06; Recorded arXiv version: v3; Recorded version updated: 2026-05-28T08:13:55Z.",
    "title": "IntentScore: Intent-Conditioned Action Evaluation for Computer-Use Agents",
    "type": "article",
    "version": "3"
  },
  {
    "URL": "https://arxiv.org/abs/2604.06240v1",
    "archive": "arXiv",
    "archive_location": "2604.06240",
    "author": [
      {
        "literal": "Corby Rosset"
      },
      {
        "literal": "Pratyusha Sharma"
      },
      {
        "literal": "Andrew Zhao"
      },
      {
        "literal": "Miguel Gonzalez-Fernandez"
      },
      {
        "literal": "Ahmed Awadallah"
      }
    ],
    "citation-key": "arxiv_2604_06240",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "b452684b305c4f20ded686289b448fbe4f08bb3b34f515a43e2ce5d6dc4ef506",
        "submitted_at": "2026-04-05T06:26:05Z",
        "updated_at": "2026-04-05T06:26:05Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2604.06240v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2604.06240",
      "catalog_id": "arxiv:2604.06240",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-04-05",
      "identifiers": {
        "arxiv": "2604.06240"
      },
      "record_updated_at": "2026-04-05"
    },
    "genre": "preprint",
    "id": "arxiv:2604.06240",
    "issued": {
      "date-parts": [
        [
          2026,
          4,
          5
        ]
      ]
    },
    "note": "First published: 2026-04-05; Recorded arXiv version: v1; Recorded version updated: 2026-04-05T06:26:05Z.",
    "title": "The Art of Building Verifiers for Computer Use Agents",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2604.07277v2",
    "archive": "arXiv",
    "archive_location": "2604.07277",
    "author": [
      {
        "literal": "Guo Gan"
      },
      {
        "literal": "Yuxuan Ding"
      },
      {
        "literal": "Cong Chen"
      },
      {
        "literal": "Yuwei Ren"
      },
      {
        "literal": "Yin Huang"
      },
      {
        "literal": "Hong Zhou"
      }
    ],
    "citation-key": "arxiv_2604_07277",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "f4d0dbeac950760f4f676ab7c651a881fd275f4adb69d46a94a11c4f10a03980",
        "submitted_at": "2026-04-08T16:40:26Z",
        "updated_at": "2026-05-08T03:06:31Z",
        "version": 2,
        "versioned_url": "https://arxiv.org/abs/2604.07277v2"
      },
      "canonical_source_url": "https://arxiv.org/abs/2604.07277",
      "catalog_id": "arxiv:2604.07277",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-04-08",
      "identifiers": {
        "arxiv": "2604.07277"
      },
      "record_updated_at": "2026-05-08"
    },
    "genre": "preprint",
    "id": "arxiv:2604.07277",
    "issued": {
      "date-parts": [
        [
          2026,
          4,
          8
        ]
      ]
    },
    "note": "First published: 2026-04-08; Recorded arXiv version: v2; Recorded version updated: 2026-05-08T03:06:31Z.",
    "title": "Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple Actions",
    "type": "article",
    "version": "2"
  },
  {
    "URL": "https://arxiv.org/abs/2604.18240v1",
    "archive": "arXiv",
    "archive_location": "2604.18240",
    "author": [
      {
        "literal": "Wentao Shi"
      },
      {
        "literal": "Yu Wang"
      },
      {
        "literal": "Yuyang Zhao"
      },
      {
        "literal": "Yuxin Chen"
      },
      {
        "literal": "Fuli Feng"
      },
      {
        "literal": "Xueyuan Hao"
      },
      {
        "literal": "Xi Su"
      },
      {
        "literal": "Qi Gu"
      },
      {
        "literal": "Hui Su"
      },
      {
        "literal": "Xunliang Cai"
      },
      {
        "literal": "Xiangnan He"
      }
    ],
    "citation-key": "arxiv_2604_18240",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "91a9cdb6c8cb124d2e6033f0decc85e0c73bd972984d973ff687bbdc2be21176",
        "submitted_at": "2026-04-20T13:23:38Z",
        "updated_at": "2026-04-20T13:23:38Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2604.18240v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2604.18240",
      "catalog_id": "arxiv:2604.18240",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-04-20",
      "identifiers": {
        "arxiv": "2604.18240"
      },
      "record_updated_at": "2026-04-20"
    },
    "genre": "preprint",
    "id": "arxiv:2604.18240",
    "issued": {
      "date-parts": [
        [
          2026,
          4,
          20
        ]
      ]
    },
    "note": "First published: 2026-04-20; Recorded arXiv version: v1; Recorded version updated: 2026-04-20T13:23:38Z.",
    "title": "AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2606.07027v2",
    "archive": "arXiv",
    "archive_location": "2606.07027",
    "author": [
      {
        "literal": "Haojie Hao"
      },
      {
        "literal": "Longkun Hao"
      },
      {
        "literal": "Yihang Lou"
      },
      {
        "literal": "Yan Bai"
      },
      {
        "literal": "Zhenyang Li"
      },
      {
        "literal": "Zhichao Yang"
      },
      {
        "literal": "Dongshuo Huang"
      },
      {
        "literal": "Hongyu Lin"
      },
      {
        "literal": "Lanqing Hong"
      },
      {
        "literal": "Jiakai Wang"
      },
      {
        "literal": "Xianglong Liu"
      }
    ],
    "citation-key": "arxiv_2606_07027",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "2d530152b210a69cb458fecb036c10621c72daccfbcac7c8306c7e248c87cf14",
        "submitted_at": "2026-06-05T08:17:28Z",
        "updated_at": "2026-06-12T07:28:19Z",
        "version": 2,
        "versioned_url": "https://arxiv.org/abs/2606.07027v2"
      },
      "canonical_source_url": "https://arxiv.org/abs/2606.07027",
      "catalog_id": "arxiv:2606.07027",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-06-05",
      "identifiers": {
        "arxiv": "2606.07027"
      },
      "record_updated_at": "2026-06-12"
    },
    "genre": "preprint",
    "id": "arxiv:2606.07027",
    "issued": {
      "date-parts": [
        [
          2026,
          6,
          5
        ]
      ]
    },
    "note": "First published: 2026-06-05; Recorded arXiv version: v2; Recorded version updated: 2026-06-12T07:28:19Z.",
    "title": "StainFlow: Entity-Stain Tracking and Evidence Linking for Process Rewards in GUI Agents",
    "type": "article",
    "version": "2"
  },
  {
    "URL": "https://arxiv.org/abs/2606.11078v1",
    "archive": "arXiv",
    "archive_location": "2606.11078",
    "author": [
      {
        "literal": "Jaewoo Lee"
      },
      {
        "literal": "Zaid Khan"
      },
      {
        "literal": "Archiki Prasad"
      },
      {
        "literal": "Justin Chih-Yao Chen"
      },
      {
        "literal": "Supriyo Chakraborty"
      },
      {
        "literal": "Kartik Balasubramaniam"
      },
      {
        "literal": "Sambit Sahu"
      },
      {
        "literal": "Elias Stengel-Eskin"
      },
      {
        "literal": "Hyunji Lee"
      },
      {
        "literal": "Mohit Bansal"
      }
    ],
    "citation-key": "arxiv_2606_11078",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "a8ed399c8b489a80c5313a00232d2ecca0fbc8228b1f56745c02d4fedb6f6908",
        "submitted_at": "2026-06-09T16:39:10Z",
        "updated_at": "2026-06-09T16:39:10Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2606.11078v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2606.11078",
      "catalog_id": "arxiv:2606.11078",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-06-09",
      "identifiers": {
        "arxiv": "2606.11078"
      },
      "record_updated_at": "2026-06-09"
    },
    "genre": "preprint",
    "id": "arxiv:2606.11078",
    "issued": {
      "date-parts": [
        [
          2026,
          6,
          9
        ]
      ]
    },
    "note": "First published: 2026-06-09; Recorded arXiv version: v1; Recorded version updated: 2026-06-09T16:39:10Z.",
    "title": "A History-Aware Visually Grounded Critic for Computer Use Agents",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2606.24515v1",
    "archive": "arXiv",
    "archive_location": "2606.24515",
    "author": [
      {
        "literal": "Marta Sumyk"
      },
      {
        "literal": "Oleksandr Kosovan"
      }
    ],
    "citation-key": "arxiv_2606_24515",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "0aeb8c28b570133f575c2f336b6dab0dcbecdfaec78549115407b21722816e8a",
        "submitted_at": "2026-06-23T12:46:29Z",
        "updated_at": "2026-06-23T12:46:29Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2606.24515v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2606.24515",
      "catalog_id": "arxiv:2606.24515",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-06-23",
      "identifiers": {
        "arxiv": "2606.24515"
      },
      "record_updated_at": "2026-06-23"
    },
    "genre": "preprint",
    "id": "arxiv:2606.24515",
    "issued": {
      "date-parts": [
        [
          2026,
          6,
          23
        ]
      ]
    },
    "note": "First published: 2026-06-23; Recorded arXiv version: v1; Recorded version updated: 2026-06-23T12:46:29Z.",
    "title": "Reinforcement Learning for Computer-Use Agents with Autonomous Evaluation",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2606.24525v1",
    "archive": "arXiv",
    "archive_location": "2606.24525",
    "author": [
      {
        "literal": "Jiachen Qian"
      }
    ],
    "citation-key": "arxiv_2606_24525",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "a3d0341f41a8ecba57fb7ed9e4b266bb4a176639c742be2b4fc98555754f5744",
        "submitted_at": "2026-06-23T12:57:02Z",
        "updated_at": "2026-06-23T12:57:02Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2606.24525v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2606.24525",
      "catalog_id": "arxiv:2606.24525",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-06-23",
      "identifiers": {
        "arxiv": "2606.24525"
      },
      "record_updated_at": "2026-06-23"
    },
    "genre": "preprint",
    "id": "arxiv:2606.24525",
    "issued": {
      "date-parts": [
        [
          2026,
          6,
          23
        ]
      ]
    },
    "note": "First published: 2026-06-23; Recorded arXiv version: v1; Recorded version updated: 2026-06-23T12:57:02Z.",
    "title": "VisCritic: Visual State Comparison as Process Reward for GUI Agents",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2607.23263v2",
    "archive": "arXiv",
    "archive_location": "2607.23263",
    "author": [
      {
        "literal": "Yang Wan"
      },
      {
        "literal": "Zhenhao Zhang"
      },
      {
        "literal": "Jierui Wang"
      },
      {
        "literal": "Xiangxin Zhou"
      },
      {
        "literal": "Linchao Zhu"
      }
    ],
    "citation-key": "arxiv_2607_23263",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "2de35aa3c7f4457d43d485eb136d8b380ea61870cc7253e807880ae731c51316",
        "submitted_at": "2026-07-25T16:00:45Z",
        "updated_at": "2026-09-26T12:15:44Z",
        "version": 2,
        "versioned_url": "https://arxiv.org/abs/2607.23263v2"
      },
      "canonical_source_url": "https://arxiv.org/abs/2607.23263",
      "catalog_id": "arxiv:2607.23263",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-07-25",
      "identifiers": {
        "arxiv": "2607.23263"
      },
      "record_updated_at": "2026-09-26"
    },
    "genre": "preprint",
    "id": "arxiv:2607.23263",
    "issued": {
      "date-parts": [
        [
          2026,
          7,
          25
        ]
      ]
    },
    "note": "First published: 2026-07-25; Recorded arXiv version: v2; Recorded version updated: 2026-09-26T12:15:44Z.",
    "title": "SeekJudge: A Practical Reward Framework for Reinforcement Learning in Computer-Use Agents",
    "type": "article",
    "version": "2"
  },
  {
    "URL": "https://arxiv.org/abs/2607.25904v2",
    "archive": "arXiv",
    "archive_location": "2607.25904",
    "author": [
      {
        "literal": "Chenrui Shi"
      },
      {
        "literal": "Yuwei Wu"
      },
      {
        "literal": "Yang Liu"
      },
      {
        "literal": "Ruining Feng"
      },
      {
        "literal": "Zirui Shang"
      },
      {
        "literal": "Zhi Gao"
      },
      {
        "literal": "Lifeng Fan"
      },
      {
        "literal": "Che Sun"
      }
    ],
    "citation-key": "arxiv_2607_25904",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "d1688a528d35a8213a8027385b1b1327536567f6ec307aa6562eea543ee71d7f",
        "submitted_at": "2026-07-28T16:01:38Z",
        "updated_at": "2026-07-29T05:13:57Z",
        "version": 2,
        "versioned_url": "https://arxiv.org/abs/2607.25904v2"
      },
      "canonical_source_url": "https://arxiv.org/abs/2607.25904",
      "catalog_id": "arxiv:2607.25904",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-07-28",
      "identifiers": {
        "arxiv": "2607.25904"
      },
      "record_updated_at": "2026-07-29"
    },
    "genre": "preprint",
    "id": "arxiv:2607.25904",
    "issued": {
      "date-parts": [
        [
          2026,
          7,
          28
        ]
      ]
    },
    "note": "First published: 2026-07-28; Recorded arXiv version: v2; Recorded version updated: 2026-07-29T05:13:57Z.",
    "title": "Interactive Reward Agent: GUI Task Evaluation via Environment-State Verification",
    "type": "article",
    "version": "2"
  },
  {
    "URL": "https://arxiv.org/abs/2607.28609v2",
    "archive": "arXiv",
    "archive_location": "2607.28609",
    "author": [
      {
        "literal": "Qiushi Sun"
      },
      {
        "literal": "Kanzhi Cheng"
      },
      {
        "literal": "Yian Wang"
      },
      {
        "literal": "Bowen Yang"
      },
      {
        "literal": "Hang Yan"
      },
      {
        "literal": "Liheng Chen"
      },
      {
        "literal": "Fangzhi Xu"
      },
      {
        "literal": "Zichen Ding"
      },
      {
        "literal": "Nuo Chen"
      },
      {
        "literal": "Jialin Cao"
      },
      {
        "literal": "Xingdong Gong"
      },
      {
        "literal": "Zehao Li"
      },
      {
        "literal": "Kaiming Jin"
      },
      {
        "literal": "Xinfeng Yuan"
      },
      {
        "literal": "Zhoumianze Liu"
      },
      {
        "literal": "Jingyang Gong"
      },
      {
        "literal": "Zhangyue Yin"
      },
      {
        "literal": "Jiahui Gao"
      },
      {
        "literal": "Zhiyong Wu"
      },
      {
        "literal": "Tianbao Xie"
      },
      {
        "literal": "Jianbing Zhang"
      },
      {
        "literal": "Ben Kao"
      },
      {
        "literal": "Lingpeng Kong"
      }
    ],
    "citation-key": "arxiv_2607_28609",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "e3e82df7abffbd0c8f7e969ed8edb77423263a2b1d826a3e72529b0a51903d58",
        "submitted_at": "2026-07-30T17:57:41Z",
        "updated_at": "2026-08-06T17:55:59Z",
        "version": 2,
        "versioned_url": "https://arxiv.org/abs/2607.28609v2"
      },
      "canonical_source_url": "https://arxiv.org/abs/2607.28609",
      "catalog_id": "arxiv:2607.28609",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-07-30",
      "identifiers": {
        "arxiv": "2607.28609"
      },
      "record_updated_at": "2026-08-06"
    },
    "genre": "preprint",
    "id": "arxiv:2607.28609",
    "issued": {
      "date-parts": [
        [
          2026,
          7,
          30
        ]
      ]
    },
    "note": "First published: 2026-07-30; Recorded arXiv version: v2; Recorded version updated: 2026-08-06T17:55:59Z.",
    "title": "OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models",
    "type": "article",
    "version": "2"
  },
  {
    "URL": "https://arxiv.org/abs/2608.05587v1",
    "archive": "arXiv",
    "archive_location": "2608.05587",
    "author": [
      {
        "literal": "Linqiang Guo"
      },
      {
        "literal": "Wei Liu"
      },
      {
        "literal": "Li Gu"
      },
      {
        "literal": "Yang Wang"
      },
      {
        "literal": "Tse-Hsun"
      },
      {
        "literal": "Chen"
      }
    ],
    "citation-key": "arxiv_2608_05587",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "dc7934927c82a43e6ae6a246ade1d50c4551cc49d263ca67cfb32906cbec9ea4",
        "submitted_at": "2026-08-06T04:17:27Z",
        "updated_at": "2026-08-06T04:17:27Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2608.05587v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2608.05587",
      "catalog_id": "arxiv:2608.05587",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-08-06",
      "identifiers": {
        "arxiv": "2608.05587"
      },
      "record_updated_at": "2026-08-06"
    },
    "genre": "preprint",
    "id": "arxiv:2608.05587",
    "issued": {
      "date-parts": [
        [
          2026,
          8,
          6
        ]
      ]
    },
    "note": "First published: 2026-08-06; Recorded arXiv version: v1; Recorded version updated: 2026-08-06T04:17:27Z.",
    "title": "StepReflect: Structured UI Transition Reflection for Mobile GUI Agents",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2608.11434v1",
    "archive": "arXiv",
    "archive_location": "2608.11434",
    "author": [
      {
        "literal": "Ziqiang Wang"
      },
      {
        "literal": "Li Gu"
      },
      {
        "literal": "Zhixiang Chi"
      },
      {
        "literal": "Zhi Liu"
      },
      {
        "literal": "Seyed Mehdi Ayyoubzadeh"
      },
      {
        "literal": "Yuanhao Yu"
      },
      {
        "literal": "Yang Wang"
      }
    ],
    "citation-key": "arxiv_2608_11434",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "a2606ae96ca3ea99b5c7278485601f9bde3b64eefdd3bfecc2bbfc678c39b4fc",
        "submitted_at": "2026-08-11T21:00:46Z",
        "updated_at": "2026-08-11T21:00:46Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2608.11434v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2608.11434",
      "catalog_id": "arxiv:2608.11434",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-08-11",
      "identifiers": {
        "arxiv": "2608.11434"
      },
      "record_updated_at": "2026-08-11"
    },
    "genre": "preprint",
    "id": "arxiv:2608.11434",
    "issued": {
      "date-parts": [
        [
          2026,
          8,
          11
        ]
      ]
    },
    "note": "First published: 2026-08-11; Recorded arXiv version: v1; Recorded version updated: 2026-08-11T21:00:46Z.",
    "title": "Benchmarking LLM Judges for Mobile Agent Evaluation",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2608.22847v1",
    "archive": "arXiv",
    "archive_location": "2608.22847",
    "author": [
      {
        "literal": "Long Zhang"
      },
      {
        "literal": "Yuhan Chen"
      },
      {
        "literal": "Chaoran Zhang"
      },
      {
        "literal": "Wanxia Cao"
      },
      {
        "literal": "Kun Huang"
      },
      {
        "literal": "Pengzhi Gao"
      },
      {
        "literal": "Wei Liu"
      },
      {
        "literal": "Jian Luan"
      },
      {
        "literal": "Chenliang Li"
      },
      {
        "literal": "Lixin Zou"
      }
    ],
    "citation-key": "arxiv_2608_22847",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "4c1198ce65d5a2fcffc51b37bc4553b35b9e0d809757dc4181747c57c7ae443d",
        "submitted_at": "2026-08-24T06:27:47Z",
        "updated_at": "2026-08-24T06:27:47Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2608.22847v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2608.22847",
      "catalog_id": "arxiv:2608.22847",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-08-24",
      "identifiers": {
        "arxiv": "2608.22847"
      },
      "record_updated_at": "2026-08-24"
    },
    "genre": "preprint",
    "id": "arxiv:2608.22847",
    "issued": {
      "date-parts": [
        [
          2026,
          8,
          24
        ]
      ]
    },
    "note": "First published: 2026-08-24; Recorded arXiv version: v1; Recorded version updated: 2026-08-24T06:27:47Z.",
    "title": "GSAR: Goal-State-Anchor Rewards for Mobile GUI Agents with Self-Evolving Data Synthesis",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2608.24174v1",
    "archive": "arXiv",
    "archive_location": "2608.24174",
    "author": [
      {
        "literal": "Tao Xiong"
      },
      {
        "literal": "Xavier Hu"
      },
      {
        "literal": "Wenkai Wang"
      },
      {
        "literal": "Qinzhuo Wu"
      },
      {
        "literal": "Changqiao Wu"
      },
      {
        "literal": "Pengzhi Gao"
      },
      {
        "literal": "Wei Liu"
      },
      {
        "literal": "Jian Luan"
      },
      {
        "literal": "Shengyu Zhang"
      }
    ],
    "citation-key": "arxiv_2608_24174",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "76cd09f70bfec0d2a49cddae8adcf32ca37fb39bcade7c1d36d5f3dc3fa6bfa7",
        "submitted_at": "2026-08-25T07:40:12Z",
        "updated_at": "2026-08-25T07:40:12Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2608.24174v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2608.24174",
      "catalog_id": "arxiv:2608.24174",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-08-25",
      "identifiers": {
        "arxiv": "2608.24174"
      },
      "record_updated_at": "2026-08-25"
    },
    "genre": "preprint",
    "id": "arxiv:2608.24174",
    "issued": {
      "date-parts": [
        [
          2026,
          8,
          25
        ]
      ]
    },
    "note": "First published: 2026-08-25; Recorded arXiv version: v1; Recorded version updated: 2026-08-25T07:40:12Z.",
    "title": "Task-Adaptive Rubrics for GUI Reward Modeling",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2609.02885v1",
    "archive": "arXiv",
    "archive_location": "2609.02885",
    "author": [
      {
        "literal": "Kelvin Li"
      },
      {
        "literal": "Dhruv Pendharkar"
      },
      {
        "literal": "Anish Pahilajani"
      },
      {
        "literal": "Chuyi Shang"
      },
      {
        "literal": "Leon Oks"
      },
      {
        "literal": "Leonid Karlinsky"
      },
      {
        "literal": "Rogerio Feris"
      },
      {
        "literal": "Trevor Darrell"
      },
      {
        "literal": "Roei Herzig"
      }
    ],
    "citation-key": "arxiv_2609_02885",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "8703474cb4f577b307731cf1a986f76f800470fde625b6ca4b3569d30e74f903",
        "submitted_at": "2026-09-02T17:59:40Z",
        "updated_at": "2026-09-02T17:59:40Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2609.02885v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2609.02885",
      "catalog_id": "arxiv:2609.02885",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-09-02",
      "identifiers": {
        "arxiv": "2609.02885"
      },
      "record_updated_at": "2026-09-02"
    },
    "genre": "preprint",
    "id": "arxiv:2609.02885",
    "issued": {
      "date-parts": [
        [
          2026,
          9,
          2
        ]
      ]
    },
    "note": "First published: 2026-09-02; Recorded arXiv version: v1; Recorded version updated: 2026-09-02T17:59:40Z.",
    "title": "Discriminative World Models for Web Agents",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2609.32351v1",
    "archive": "arXiv",
    "archive_location": "2609.32351",
    "author": [
      {
        "literal": "Yangzhe Peng"
      },
      {
        "literal": "Xiaoyang Wang"
      },
      {
        "literal": "Yiyang Zhao"
      },
      {
        "literal": "Lijun Wu"
      },
      {
        "literal": "Kun He"
      }
    ],
    "citation-key": "arxiv_2609_32351",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "7cc6fd87d2299e2881eab9a2db96e4022663e2d94da5549dcde166c0c8b8be11",
        "submitted_at": "2026-09-26T08:14:50Z",
        "updated_at": "2026-09-26T08:14:50Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2609.32351v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2609.32351",
      "catalog_id": "arxiv:2609.32351",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-09-26",
      "identifiers": {
        "arxiv": "2609.32351"
      },
      "record_updated_at": "2026-09-26"
    },
    "genre": "preprint",
    "id": "arxiv:2609.32351",
    "issued": {
      "date-parts": [
        [
          2026,
          9,
          26
        ]
      ]
    },
    "note": "First published: 2026-09-26; Recorded arXiv version: v1; Recorded version updated: 2026-09-26T08:14:50Z.",
    "title": "From Trajectories to Grounded Preferences: Process Preference Synthesis via Interaction Element Graphs for Web PRMs",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2610.18067v1",
    "archive": "arXiv",
    "archive_location": "2610.18067",
    "author": [
      {
        "literal": "Hang He"
      },
      {
        "literal": "Linting Wang"
      },
      {
        "literal": "Guanming Liu"
      },
      {
        "literal": "Bo Mao"
      },
      {
        "literal": "Jinxiu Liu"
      },
      {
        "literal": "Yiran Suo"
      },
      {
        "literal": "Maosen Zhou"
      },
      {
        "literal": "Zhiheng Xi"
      },
      {
        "literal": "Guanting Dong"
      },
      {
        "literal": "Zhou Shao"
      },
      {
        "literal": "Rui Zheng"
      },
      {
        "literal": "Jie Zhou"
      },
      {
        "literal": "Chengcheng Wan"
      },
      {
        "literal": "Tao Gui"
      },
      {
        "literal": "Qi Zhang"
      },
      {
        "literal": "Xipeng Qiu"
      },
      {
        "literal": "Xuanjing Huang"
      }
    ],
    "citation-key": "arxiv_2610_18067",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "6add363f25f87ea1814c7b79ebf6b51f7431b3745a7d2d910960b78e2d97d13f",
        "submitted_at": "2026-10-13T09:52:02Z",
        "updated_at": "2026-10-13T09:52:02Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2610.18067v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2610.18067",
      "catalog_id": "arxiv:2610.18067",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-10-13",
      "identifiers": {
        "arxiv": "2610.18067"
      },
      "record_updated_at": "2026-10-13"
    },
    "genre": "preprint",
    "id": "arxiv:2610.18067",
    "issued": {
      "date-parts": [
        [
          2026,
          10,
          13
        ]
      ]
    },
    "note": "First published: 2026-10-13; Recorded arXiv version: v1; Recorded version updated: 2026-10-13T09:52:02Z.",
    "title": "WorkRover: Scaling Long-Horizon Cowork Agent Training Via Recursive Environment Evolution",
    "type": "article",
    "version": "1"
  },
  {
    "URL": "https://arxiv.org/abs/2610.26469v1",
    "archive": "arXiv",
    "archive_location": "2610.26469",
    "author": [
      {
        "literal": "Zhizhou Wang"
      },
      {
        "literal": "Yaxi Lu"
      },
      {
        "literal": "Zhong Zhang"
      },
      {
        "literal": "Zikun Hu"
      },
      {
        "literal": "Xin Cong"
      },
      {
        "literal": "Yankai Lin"
      },
      {
        "literal": "Fangming Liu"
      }
    ],
    "citation-key": "arxiv_2610_26469",
    "custom": {
      "arxiv_snapshot": {
        "abstract_hash_method": "sha256-utf8-whitespace-collapsed-v1",
        "abstract_sha256": "08ef7c9cdda652f60d3f2d4ab89e7218ad5a2b85f5c76f0277c289db06fd2796",
        "submitted_at": "2026-10-19T14:17:33Z",
        "updated_at": "2026-10-19T14:17:33Z",
        "version": 1,
        "versioned_url": "https://arxiv.org/abs/2610.26469v1"
      },
      "canonical_source_url": "https://arxiv.org/abs/2610.26469",
      "catalog_id": "arxiv:2610.26469",
      "catalog_kind": "paper",
      "catalog_review_status": "curated",
      "catalog_scope": "core",
      "first_published_at": "2026-10-19",
      "identifiers": {
        "arxiv": "2610.26469"
      },
      "record_updated_at": "2026-10-19"
    },
    "genre": "preprint",
    "id": "arxiv:2610.26469",
    "issued": {
      "date-parts": [
        [
          2026,
          10,
          19
        ]
      ]
    },
    "note": "First published: 2026-10-19; Recorded arXiv version: v1; Recorded version updated: 2026-10-19T14:17:33Z.",
    "title": "VeriCUA: Learning Proactive Verification for Reliable GUI Agent Rewards",
    "type": "article",
    "version": "1"
  }
]
