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  3. ClawGUI: A Unified Framework for Training, Evaluating, and D
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ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents

Stale7d agoPending verification refs / 3 sources / Verification pending
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Viability
0.0/10

Compared to this week’s papers

Verification pending

Use This Via API or MCP

Use Signal Canvas as the narrative proof surface

Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.

Signal Canvas APIPaper Proof PageOpen Build LoopLaunch Pack Example

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/clawgui-a-unified-framework-for-training-evaluating-and-deploying-gui-agents

stale
Proof freshness
stale
Proof status
unverified
Display score
8/10
Last proof check
2026-04-14
Score updated
2026-04-14
Score fresh until
2026-05-14
References
0
Source count
3
Coverage
50%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents

Canonical ID clawgui-a-unified-framework-for-training-evaluating-and-deploying-gui-agents | Route /signal-canvas/clawgui-a-unified-framework-for-training-evaluating-and-deploying-gui-agents

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/clawgui-a-unified-framework-for-training-evaluating-and-deploying-gui-agents

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "clawgui-a-unified-framework-for-training-evaluating-and-deploying-gui-agents",
    "query_text": "Summarize ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents",
  "normalized_query": "2604.11784",
  "route": "/signal-canvas/clawgui-a-unified-framework-for-training-evaluating-and-deploying-gui-agents",
  "paper_ref": "clawgui-a-unified-framework-for-training-evaluating-and-deploying-gui-agents",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents

PDF: https://arxiv.org/pdf/2604.11784v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-14T16:47:03.161Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents

Overall score: 8/10
Lineage: 50adb42ed533…
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Search the latest paper corpus with startup-focused AI synthesis.

Canonical Paper Receipt

Last verification: 2026-04-14T16:47:03.161Z

Freshness: stale

Proof: unverified

Repo: missing

References: 0

Sources: 3

Coverage: 50%

Missingness
  • - repo_url
  • - references
  • - proof_status
Unknowns
  • - proof verification has not been recorded yet

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Preparing verified analysis

Dimensions overall score 8.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

No public claim map is available for this paper yet.

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

Keep exploring

Builds On This
GUI-CEval: A Hierarchical and Comprehensive Chinese Benchmark for Mobile GUI Agents
Score 4.0down
Builds On This
GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL
Score 7.0down
Builds On This
UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience
Score 7.0down
Builds On This
ClawEnvKit: Automatic Environment Generation for Claw-Like Agents
Score 7.0down
Builds On This
How Smart Is Your GUI Agent? A Framework for the Future of Software Interaction
Score 4.0down
Builds On This
OS-Themis: A Scalable Critic Framework for Generalist GUI Rewards
Score 7.0down
Prior Work
Claw-Eval: Toward Trustworthy Evaluation of Autonomous Agents
Score 8.0stable
Higher Viability
OpenClaw-RL: Train Any Agent Simply by Talking
Score 9.0up

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