Evidence Receipt. Related Resources.
Best-Arm Identification with Noisy Actuation
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/best-arm-identification-with-noisy-actuation
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 2/10
- Last proof check
- 2026-04-03
- Score updated
- 2026-04-03
- Score fresh until
- 2026-05-03
- References
- 0
- Source count
- 0
- Coverage
- 33%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Best-Arm Identification with Noisy Actuation
Canonical ID best-arm-identification-with-noisy-actuation | Route /signal-canvas/best-arm-identification-with-noisy-actuation
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/best-arm-identification-with-noisy-actuationMCP example
{
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"arguments": {
"mode": "paper",
"paper_ref": "best-arm-identification-with-noisy-actuation",
"query_text": "Summarize Best-Arm Identification with Noisy Actuation"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Best-Arm Identification with Noisy Actuation",
"normalized_query": "2604.02255",
"route": "/signal-canvas/best-arm-identification-with-noisy-actuation",
"paper_ref": "best-arm-identification-with-noisy-actuation",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Preparing verified analysis
Dimensions overall score 2.0
GitHub Code Pulse
No public code linked for this paper yet.
Claim map
- Evidencepartial
In this paper, we consider a multi-armed bandit (MAB) instance and study how to identify the best arm when arm commands are conveyed from a central learner to a distributed agent over a discrete memoryless channel (DMC).
ImplicationpartialDirectly stated in the abstract and title, forming the core problem statement of the paper.
Verificationpartialpartial
- Evidencepartial
Depending on the agent capabilities, we provide communication schemes along with their analysis, which interestingly relate to the zero-error capacity of the underlying DMC.
ImplicationpartialExplicitly stated in the abstract as a key finding of the analysis.
Verificationpartialpartial
- Evidencepartial
Depending on the agent capabilities, we provide communication schemes along with their analysis
ImplicationpartialDirectly stated in the abstract that schemes depend on agent capabilities, implying tailored designs.
Verificationpartialpartial
- Evidencepartial
when arm commands are conveyed from a central learner to a distributed agent
ImplicationpartialStrongly implied by the description of commands conveyed from learner to agent, requiring inference about system architecture.
Verificationpartialpartial
- Evidencepartial
when arm commands are conveyed from a central learner to a distributed agent over a discrete memoryless channel (DMC)
ImplicationpartialImplied by the combination of noisy actuation in the title and DMC transmission in the abstract, requiring some inference.
Verificationpartialpartial
- Evidencepartial
we provide communication schemes along with their analysis
ImplicationpartialExplicitly stated that schemes are provided 'along with their analysis' in the abstract.
Verificationpartialpartial
- Evidencepartial
we consider a multi-armed bandit (MAB) instance and study how to identify the best arm when arm commands are conveyed... over a discrete memoryless channel
ImplicationpartialImplied by the novel problem formulation combining MAB with DMC transmission, but not explicitly stated as a gap.
Verificationpartialpartial
