Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Page Freshness
Canonical route: /signal-canvas/structxlip-enhancing-vision-language-models-with-multimodal-structural-cues
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 structxlip-enhancing-vision-language-models-with-multimodal-structural-cues | Route /signal-canvas/structxlip-enhancing-vision-language-models-with-multimodal-structural-cues
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/structxlip-enhancing-vision-language-models-with-multimodal-structural-cuesMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "structxlip-enhancing-vision-language-models-with-multimodal-structural-cues",
"query_text": "Summarize StructXLIP: Enhancing Vision-language Models with Multimodal Structural Cues"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "StructXLIP: Enhancing Vision-language Models with Multimodal Structural Cues",
"normalized_query": "2602.20089",
"route": "/signal-canvas/structxlip-enhancing-vision-language-models-with-multimodal-structural-cues",
"paper_ref": "structxlip-enhancing-vision-language-models-with-multimodal-structural-cues",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: StructXLIP: Enhancing Vision-language Models with Multimodal Structural Cues
PDF: https://arxiv.org/pdf/2602.20089v1
Source count: Pending verification
Coverage: 17%
Last proof check: 2026-04-02T02:30:40.136Z
Signal Canvas receipt window
/buildability/structxlip-enhancing-vision-language-models-with-multimodal-structural-cues
Subject: StructXLIP: Enhancing Vision-language Models with Multimodal Structural Cues
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Preparing verified analysis
Dimensions overall score 6.0
No public code linked for this paper yet.
CLAIM MAP
No public claim map is available for this paper yet.
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Zanxi Ruan
University of Verona
Qiuyu Kong
Sapienza University of Rome
Songqun Gao
University of Trento
Yiming Wang
Fondazione Bruno Kessler
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Time to first demo
Insufficient data
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Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/structxlip-enhancing-vision-language-models-with-multimodal-structural-cues
Paper ref
structxlip-enhancing-vision-language-models-with-multimodal-structural-cues
arXiv id
2602.20089
Generated at
2026-04-02T02:30:40.136Z
Evidence freshness
stale
Last verification
2026-04-02T02:30:40.136Z
Sources
0
References
0
Coverage
17%
Lineage hash
01f356822e6d3fe25f5b488853203c764b553767269a83b5c071b90dd1d02d19
Canonical opportunity-kernel lineage hash.
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.
Verification pending / evidence receipt incomplete
repo_url
references