proof blockPage 268%
This equation captures one of the core mathematical components of the system. M = (S, A, T , R, γ, H) where states S encompass conversation history and environment
Page and bbox are available; crop image is pending.
PRIME: Training Free Proactive Reasoning via Iterative Memory Evolution for User-Centric Agent explores PRIME is a gradient-free framework for proactive, collaborative agents that learn from human-AI interactions without expensive training.. Commercial viability score: 7/10 in Agents.
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Page Freshness
Canonical route: /paper/prime-training-free-proactive-reasoning-via-iterative-memory-evolution-for-user-centric-agent
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Agent Handoff
Canonical ID prime-training-free-proactive-reasoning-via-iterative-memory-evolution-for-user-centric-agent | Route /paper/prime-training-free-proactive-reasoning-via-iterative-memory-evolution-for-user-centric-agent
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/prime-training-free-proactive-reasoning-via-iterative-memory-evolution-for-user-centric-agentMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.07645"
}
}source_context
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"topic_slug": null,
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}Paper proof page receipt window
/buildability/prime-training-free-proactive-reasoning-via-iterative-memory-evolution-for-user-centric-agent
Subject: PRIME: Training Free Proactive Reasoning via Iterative Memory Evolution for User-Centric 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
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Dimensions overall score 7.0
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This equation captures one of the core mathematical components of the system. M = (S, A, T , R, γ, H) where states S encompass conversation history and environment
Page and bbox are available; crop image is pending.
Owned Distribution
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Receipt path
/buildability/prime-training-free-proactive-reasoning-via-iterative-memory-evolution-for-user-centric-agent
Paper ref
prime-training-free-proactive-reasoning-via-iterative-memory-evolution-for-user-centric-agent
arXiv id
2604.07645
Generated at
2026-04-10T20:31:40.114Z
Evidence freshness
stale
Last verification
2026-04-10T20:31:40.114Z
Sources
3
References
0
Coverage
50%
Lineage hash
4435cb9ad43b639002008d75e80bdd6cee0f6dd532d6a8b3410d011a82d27a78
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
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Verification
not_verified
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Pending verification refs / 3 sources / Verification pending
repo_url
references
This equation defines the score or evaluation function that determines model quality.
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This equation captures one of the core mathematical components of the system. uses a rollout temperature of τ = 1.0 with a maximum horizon of H = 16 turns per episode
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