This equation captures one of the core mathematical components of the system. cally to generate an atomic action at = (e, o, v) at
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WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent explores An autonomous web agent framework that tackles dual-level uncertainty in planning and reasoning using adaptive planning and Monte Carlo Tree Search for robust decision-making.. Commercial viability score: 8/10 in Agents.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/webuncertainty-dual-level-uncertainty-driven-planning-and-reasoning-for-autonomous-web-agent
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID webuncertainty-dual-level-uncertainty-driven-planning-and-reasoning-for-autonomous-web-agent | Route /paper/webuncertainty-dual-level-uncertainty-driven-planning-and-reasoning-for-autonomous-web-agent
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/webuncertainty-dual-level-uncertainty-driven-planning-and-reasoning-for-autonomous-web-agentMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.17821"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent",
"normalized_query": "2604.17821",
"route": "/paper/webuncertainty-dual-level-uncertainty-driven-planning-and-reasoning-for-autonomous-web-agent",
"paper_ref": "webuncertainty-dual-level-uncertainty-driven-planning-and-reasoning-for-autonomous-web-agent",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/webuncertainty-dual-level-uncertainty-driven-planning-and-reasoning-for-autonomous-web-agent
Subject: WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/webuncertainty-dual-level-uncertainty-driven-planning-and-reasoning-for-autonomous-web-agent
Paper ref
webuncertainty-dual-level-uncertainty-driven-planning-and-reasoning-for-autonomous-web-agent
arXiv id
2604.17821
Generated at
2026-04-21T02:39:20.396Z
Evidence freshness
stale
Last verification
2026-04-21T02:39:20.396Z
Sources
3
References
0
Coverage
50%
Lineage hash
aa5e53f68061d8c7e167d23043336cfe22e84e2626a3abe69309430fe24f5746
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Pending verification refs / 3 sources / Verification pending
repo_url
references
Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Research neighborhood
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Preparing verified analysis
Dimensions overall score 8.0
Visual citation anchors from the paper document graph.
This equation captures one of the core mathematical components of the system. cally to generate an atomic action at = (e, o, v) at
Page and bbox are available; crop image is pending.
This equation states the optimization target or decision rule used to choose the final output.
Page and bbox are available; crop image is pending.
This equation defines the score or evaluation function that determines model quality.
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