RASP-Tuner: Retrieval-Augmented Soft Prompts for Context-Aware Black-Box Optimization in Non-Stationary Environments
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/rasp-tuner-retrieval-augmented-soft-prompts-for-context-aware-black-box-optimization-in-non-stationary-environments
- Proof freshness
- fresh
- Proof status
- unverified
- Display score
- 5/10
- Last proof check
- 2026-04-21
- Score updated
- 2026-04-21
- Score fresh until
- 2026-05-21
- References
- 0
- Source count
- 3
- Coverage
- 50%
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
RASP-Tuner: Retrieval-Augmented Soft Prompts for Context-Aware Black-Box Optimization in Non-Stationary Environments
Canonical ID rasp-tuner-retrieval-augmented-soft-prompts-for-context-aware-black-box-optimization-in-non-stationary-environments | Route /signal-canvas/rasp-tuner-retrieval-augmented-soft-prompts-for-context-aware-black-box-optimization-in-non-stationary-environments
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/rasp-tuner-retrieval-augmented-soft-prompts-for-context-aware-black-box-optimization-in-non-stationary-environmentsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "rasp-tuner-retrieval-augmented-soft-prompts-for-context-aware-black-box-optimization-in-non-stationary-environments",
"query_text": "Summarize RASP-Tuner: Retrieval-Augmented Soft Prompts for Context-Aware Black-Box Optimization in Non-Stationary Environments"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "RASP-Tuner: Retrieval-Augmented Soft Prompts for Context-Aware Black-Box Optimization in Non-Stationary Environments",
"normalized_query": "2604.18026",
"route": "/signal-canvas/rasp-tuner-retrieval-augmented-soft-prompts-for-context-aware-black-box-optimization-in-non-stationary-environments",
"paper_ref": "rasp-tuner-retrieval-augmented-soft-prompts-for-context-aware-black-box-optimization-in-non-stationary-environments",
"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: RASP-Tuner: Retrieval-Augmented Soft Prompts for Context-Aware Black-Box Optimization in Non-Stationary Environments
PDF: https://arxiv.org/pdf/2604.18026v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-21T02:39:31.965Z
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
RASP-Tuner: Retrieval-Augmented Soft Prompts for Context-Aware Black-Box Optimization in Non-Stationary Environments
Canonical Paper Receipt
Last verification: 2026-04-21T02:39:31.965ZFreshness: fresh
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
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Related Resources
- black-box optimization(glossary)
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