Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/beyond-conservative-automated-driving-in-multi-agent-scenarios-via-coupled-model-predictive-control-and-deep-reinforceme
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 5/10
- Last proof check
- 2026-04-16
- Score updated
- 2026-04-16
- Score fresh until
- 2026-05-16
- 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
Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning
Canonical ID beyond-conservative-automated-driving-in-multi-agent-scenarios-via-coupled-model-predictive-control-and-deep-reinforceme | Route /signal-canvas/beyond-conservative-automated-driving-in-multi-agent-scenarios-via-coupled-model-predictive-control-and-deep-reinforceme
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/beyond-conservative-automated-driving-in-multi-agent-scenarios-via-coupled-model-predictive-control-and-deep-reinforcemeMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "beyond-conservative-automated-driving-in-multi-agent-scenarios-via-coupled-model-predictive-control-and-deep-reinforceme",
"query_text": "Summarize Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning",
"normalized_query": "2604.13891",
"route": "/signal-canvas/beyond-conservative-automated-driving-in-multi-agent-scenarios-via-coupled-model-predictive-control-and-deep-reinforceme",
"paper_ref": "beyond-conservative-automated-driving-in-multi-agent-scenarios-via-coupled-model-predictive-control-and-deep-reinforceme",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
PDF: https://arxiv.org/pdf/2604.13891v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-16T18:20:26.368Z
Signal Canvas receipt window
Watch and verify: Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning
/buildability/beyond-conservative-automated-driving-in-multi-agent-scenarios-via-coupled-model-predictive-control-and-deep-reinforceme
Subject: Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning
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
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/beyond-conservative-automated-driving-in-multi-agent-scenarios-via-coupled-model-predictive-control-and-deep-reinforceme
Paper ref
beyond-conservative-automated-driving-in-multi-agent-scenarios-via-coupled-model-predictive-control-and-deep-reinforceme
arXiv id
2604.13891
Freshness
Generated at
2026-04-16T18:20:26.368Z
Evidence freshness
stale
Last verification
2026-04-16T18:20:26.368Z
Sources
3
References
0
Coverage
50%
Hash state
Lineage hash
a121d544c72999387eaef12ef689b0b3c1ad917b8c67d499ff724563ffed63c4
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: references
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
Pending verification refs / 3 sources / Verification pending
repo_url
references
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning
Canonical Paper Receipt
Last verification: 2026-04-16T18:20:26.368ZFreshness: 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 5.0
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
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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