RASP-Tuner: Retrieval-Augmented Soft Prompts for Context-Aware Black-Box Optimization in Non-Stationary Environments

RASP-Tuner: Retrieval-Augmented Soft Prompts for Context-Aware Black-Box Optimization in Non-Stationary Environments | Signal Canvas | ScienceToStartup

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

stale

Proof freshness: stale
Proof status: unverified
Display score: 6/10
Last proof check: 2026-04-21
Score updated: 2026-04-21
Score fresh until: 2026-05-21
References: 40
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

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-environments

MCP 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: building

Claims: 1

References: 40

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: 67%

Last proof check: 2026-04-21T02:39:31.965Z

Signal Canvas receipt window

Watch and verify: RASP-Tuner: Retrieval-Augmented Soft Prompts for Context-Aware Black-Box Optimization in Non-Stationary Environments

/buildability/rasp-tuner-retrieval-augmented-soft-prompts-for-context-aware-black-box-optimization-in-non-stationary-environments

Watchwatch

Subject: RASP-Tuner: Retrieval-Augmented Soft Prompts for Context-Aware Black-Box Optimization in Non-Stationary Environments

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

RASP-Tuner: Retrieval-Augmented Soft Prompts for Context-Aware Black-Box Optimization in Non-Stationary Environments

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Use this Signal Canvas via API or MCP

Signal Canvas proof surface