PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation

PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/pr-magic-prompt-refinement-via-mask-decoder-gradient-flow-for-in-context-segmentation

stale

Proof freshness: stale
Proof status: unverified
Display score: 8/10
Last proof check: 2026-04-15
Score updated: 2026-04-15
Score fresh until: 2026-05-15
References: 0
Source count: 4
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

Canonical ID pr-magic-prompt-refinement-via-mask-decoder-gradient-flow-for-in-context-segmentation | Route /signal-canvas/pr-magic-prompt-refinement-via-mask-decoder-gradient-flow-for-in-context-segmentation

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/pr-magic-prompt-refinement-via-mask-decoder-gradient-flow-for-in-context-segmentation

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "pr-magic-prompt-refinement-via-mask-decoder-gradient-flow-for-in-context-segmentation",
    "query_text": "Summarize PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation",
  "normalized_query": "2604.12113",
  "route": "/signal-canvas/pr-magic-prompt-refinement-via-mask-decoder-gradient-flow-for-in-context-segmentation",
  "paper_ref": "pr-magic-prompt-refinement-via-mask-decoder-gradient-flow-for-in-context-segmentation",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation

PDF: https://arxiv.org/pdf/2604.12113v1

Repository: https://github.com/cvpr-org/author-kit

Source count: 4

Coverage: 50%

Last proof check: 2026-04-15T16:41:58.356Z

Signal Canvas receipt window

Ready for execution: PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation

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Subject: PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation

Verdict

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PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation

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