KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/kd-marl-resource-aware-knowledge-distillation-in-multi-agent-reinforcement-learning
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 4/10
- Last proof check
- 2026-04-10
- Score updated
- 2026-04-09
- Score fresh until
- 2026-05-09
- References
- 42
- Source count
- 3
- Coverage
- 67%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning
Canonical ID kd-marl-resource-aware-knowledge-distillation-in-multi-agent-reinforcement-learning | Route /signal-canvas/kd-marl-resource-aware-knowledge-distillation-in-multi-agent-reinforcement-learning
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/kd-marl-resource-aware-knowledge-distillation-in-multi-agent-reinforcement-learningMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "kd-marl-resource-aware-knowledge-distillation-in-multi-agent-reinforcement-learning",
"query_text": "Summarize KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning",
"normalized_query": "2604.06691",
"route": "/signal-canvas/kd-marl-resource-aware-knowledge-distillation-in-multi-agent-reinforcement-learning",
"paper_ref": "kd-marl-resource-aware-knowledge-distillation-in-multi-agent-reinforcement-learning",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 0
References: 42
Proof: Verification pending
Freshness state: computing
Source paper: KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning
PDF: https://arxiv.org/pdf/2604.06691v1
Source count: 3
Coverage: 67%
Last proof check: 2026-04-10T00:16:06.597Z
Signal Canvas receipt window
Not build-ready: KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning
/buildability/kd-marl-resource-aware-knowledge-distillation-in-multi-agent-reinforcement-learning
Subject: KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning
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.
Compute envelope
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Evidence ids
Receipt path
/buildability/kd-marl-resource-aware-knowledge-distillation-in-multi-agent-reinforcement-learning
Paper ref
kd-marl-resource-aware-knowledge-distillation-in-multi-agent-reinforcement-learning
arXiv id
2604.06691
Freshness
Generated at
2026-04-10T00:16:06.597Z
Evidence freshness
stale
Last verification
2026-04-10T00:16:06.597Z
Sources
3
References
42
Coverage
67%
Hash state
Lineage hash
ec23ebace12f6ca25a731e247cc189fa1d7618dfcfe1b5428b985026ff068936
Canonical opportunity-kernel lineage hash.
Signature state
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.
Blockers
- Missing: repo_url
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
42 refs / 3 sources / Verification pending
repo_url
proof_status
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning
Canonical Paper Receipt
Last verification: 2026-04-10T00:16:06.597ZFreshness: stale
Proof: unverified
Repo: missing
References: 42
Sources: 3
Coverage: 67%
- - repo_url
- - proof_status
- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 4.0
GitHub Code Pulse
No public code linked for this paper yet.
Claim map
No public claim map is available for this paper yet.
Startup potential card
Related Resources
- Multi-Agent Reinforcement Learning(glossary)
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