Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/how-adversarial-environments-mislead-agentic-ai
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 how-adversarial-environments-mislead-agentic-ai | Route /signal-canvas/how-adversarial-environments-mislead-agentic-ai
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/how-adversarial-environments-mislead-agentic-aiMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "how-adversarial-environments-mislead-agentic-ai",
"query_text": "Summarize How Adversarial Environments Mislead Agentic AI?"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "How Adversarial Environments Mislead Agentic AI?",
"normalized_query": "2604.18874",
"route": "/signal-canvas/how-adversarial-environments-mislead-agentic-ai",
"paper_ref": "how-adversarial-environments-mislead-agentic-ai",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: How Adversarial Environments Mislead Agentic AI?
PDF: https://arxiv.org/pdf/2604.18874v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-22T20:30:31.668Z
Signal Canvas receipt window
/buildability/how-adversarial-environments-mislead-agentic-ai
Subject: How Adversarial Environments Mislead Agentic AI?
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.
Preparing verified analysis
Dimensions overall score 6.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 17, "author": "Zhonghao Zhan; Huichi Zhou; Zhenhao Li; Peiyuan Jing; Krinos Li; Hamed Haddadi", "title": "How Adversarial Environments Mislead Agentic AI?"
Implication not extracted yet.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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Receipt path
/buildability/how-adversarial-environments-mislead-agentic-ai
Paper ref
how-adversarial-environments-mislead-agentic-ai
arXiv id
2604.18874
Generated at
2026-04-22T20:30:31.668Z
Evidence freshness
stale
Last verification
2026-04-22T20:30:31.668Z
Sources
3
References
0
Coverage
50%
Lineage hash
9076b58e8662e5bfd10e55ec8e6d627f486b81663dc0d5a9ff0fbcbdee6c0710
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