This equation captures one of the core mathematical components of the system. capability of any single state-of-the-art model across domains. A probing agent posts an HLE problem q ∈Q
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Superminds Test: Actively Evaluating Collective Intelligence of Agent Society via Probing Agents explores This paper empirically evaluates the collective intelligence of large-scale agent societies, finding that it does not emerge spontaneously from scale due to sparse and shallow interactions.. Commercial viability score: 3/10 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/superminds-test-actively-evaluating-collective-intelligence-of-agent-society-via-probing-agents
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID superminds-test-actively-evaluating-collective-intelligence-of-agent-society-via-probing-agents | Route /paper/superminds-test-actively-evaluating-collective-intelligence-of-agent-society-via-probing-agents
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/superminds-test-actively-evaluating-collective-intelligence-of-agent-society-via-probing-agentsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.22452"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Superminds Test: Actively Evaluating Collective Intelligence of Agent Society via Probing Agents",
"normalized_query": "2604.22452",
"route": "/paper/superminds-test-actively-evaluating-collective-intelligence-of-agent-society-via-probing-agents",
"paper_ref": "superminds-test-actively-evaluating-collective-intelligence-of-agent-society-via-probing-agents",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/superminds-test-actively-evaluating-collective-intelligence-of-agent-society-via-probing-agents
Subject: Superminds Test: Actively Evaluating Collective Intelligence of Agent Society via Probing Agents
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
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.
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 3.0
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Visual citation anchors from the paper document graph.
This equation captures one of the core mathematical components of the system. capability of any single state-of-the-art model across domains. A probing agent posts an HLE problem q ∈Q
Page and bbox are available; crop image is pending.
Owned Distribution
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References are not available from the internal index yet.
Receipt path
/buildability/superminds-test-actively-evaluating-collective-intelligence-of-agent-society-via-probing-agents
Paper ref
superminds-test-actively-evaluating-collective-intelligence-of-agent-society-via-probing-agents
arXiv id
2604.22452
Generated at
2026-04-27T20:17:50.729Z
Evidence freshness
fresh
Last verification
2026-04-27T20:17:50.729Z
Sources
3
References
0
Coverage
50%
Lineage hash
4b144df4c729b4c6c4afc6808680bd4c1102badcbbbab61951ee2f0cb24c60e2
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
This equation captures one of the core mathematical components of the system. q ∈Q : maxc∈Cq Judge(c, aq) = correct Accindividual = |Q| Accjoint = |{q ∈Q : Judge(Cq, aq) = correct}| |Q|
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This equation captures one of the core mathematical components of the system. Accindividual = 0.19% and Accjoint = 0.14%, roughly 100× lower than a single model acting alone since 98.4%
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No public competitor map is available for this paper yet.