OOM-RL: Out-of-Money Reinforcement Learning Market-Driven Alignment for LLM-Based Multi-Agent Systems
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/oom-rl-out-of-money-reinforcement-learning-market-driven-alignment-for-llm-based-multi-agent-systems
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 7/10
- Last proof check
- 2026-04-14
- Score updated
- 2026-04-14
- Score fresh until
- 2026-05-14
- References
- 0
- Source count
- 3
- Coverage
- 50%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
OOM-RL: Out-of-Money Reinforcement Learning Market-Driven Alignment for LLM-Based Multi-Agent Systems
Canonical ID oom-rl-out-of-money-reinforcement-learning-market-driven-alignment-for-llm-based-multi-agent-systems | Route /signal-canvas/oom-rl-out-of-money-reinforcement-learning-market-driven-alignment-for-llm-based-multi-agent-systems
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/oom-rl-out-of-money-reinforcement-learning-market-driven-alignment-for-llm-based-multi-agent-systemsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "oom-rl-out-of-money-reinforcement-learning-market-driven-alignment-for-llm-based-multi-agent-systems",
"query_text": "Summarize OOM-RL: Out-of-Money Reinforcement Learning Market-Driven Alignment for LLM-Based Multi-Agent Systems"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "OOM-RL: Out-of-Money Reinforcement Learning Market-Driven Alignment for LLM-Based Multi-Agent Systems",
"normalized_query": "2604.11477",
"route": "/signal-canvas/oom-rl-out-of-money-reinforcement-learning-market-driven-alignment-for-llm-based-multi-agent-systems",
"paper_ref": "oom-rl-out-of-money-reinforcement-learning-market-driven-alignment-for-llm-based-multi-agent-systems",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: OOM-RL: Out-of-Money Reinforcement Learning Market-Driven Alignment for LLM-Based Multi-Agent Systems
PDF: https://arxiv.org/pdf/2604.11477v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-14T16:47:06.945Z
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
OOM-RL: Out-of-Money Reinforcement Learning Market-Driven Alignment for LLM-Based Multi-Agent Systems
Canonical Paper Receipt
Last verification: 2026-04-14T16:47:06.945ZFreshness: stale
Proof: unverified
Repo: missing
References: 0
Sources: 3
Coverage: 50%
- - repo_url
- - references
- - proof_status
- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 7.0
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