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Detecting Safety Violations Across Many Agent Traces explores Meerkat is a novel system that combines clustering and agentic search to detect rare and complex safety violations across large sets of agent traces, significantly improving detection rates.. Commercial viability score: 7/10 in AI Safety.
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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/detecting-safety-violations-across-many-agent-traces
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 detecting-safety-violations-across-many-agent-traces | Route /paper/detecting-safety-violations-across-many-agent-traces
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/detecting-safety-violations-across-many-agent-tracesMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.11806"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Detecting Safety Violations Across Many Agent Traces",
"normalized_query": "2604.11806",
"route": "/paper/detecting-safety-violations-across-many-agent-traces",
"paper_ref": "detecting-safety-violations-across-many-agent-traces",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/detecting-safety-violations-across-many-agent-traces
Subject: Detecting Safety Violations Across Many Agent Traces
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
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Insufficient data
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Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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Preparing verified analysis
Dimensions overall score 7.0
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This equation defines the score or evaluation function that determines model quality.
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. in isolation. The second is sparse repository search: typically | ∪W∈W W| ≪|R|, so the
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Receipt path
/buildability/detecting-safety-violations-across-many-agent-traces
Paper ref
detecting-safety-violations-across-many-agent-traces
arXiv id
2604.11806
Generated at
2026-04-14T16:48:17.016Z
Evidence freshness
stale
Last verification
2026-04-14T16:48:17.016Z
Sources
3
References
0
Coverage
50%
Lineage hash
767fb511a5a4a3a541fbaad3db4e0f80ef444f15c6bb0d73d701202bac04b2ba
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
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This equation captures one of the core mathematical components of the system. p ∈[1, max(1, ⌊k · 0.05⌋)] as the number of positive traces, (2) sample p traces from the
Page and bbox are available; crop image is pending.
No public competitor map is available for this paper yet.