Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/rvlm-recursive-vision-language-models-with-adaptive-depth
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 rvlm-recursive-vision-language-models-with-adaptive-depth | Route /signal-canvas/rvlm-recursive-vision-language-models-with-adaptive-depth
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/rvlm-recursive-vision-language-models-with-adaptive-depthMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "rvlm-recursive-vision-language-models-with-adaptive-depth",
"query_text": "Summarize RVLM: Recursive Vision-Language Models with Adaptive Depth"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "RVLM: Recursive Vision-Language Models with Adaptive Depth",
"normalized_query": "2603.24224",
"route": "/signal-canvas/rvlm-recursive-vision-language-models-with-adaptive-depth",
"paper_ref": "rvlm-recursive-vision-language-models-with-adaptive-depth",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: RVLM: Recursive Vision-Language Models with Adaptive Depth
PDF: https://arxiv.org/pdf/2603.24224v1
Repository: https://github.com/nican2018/rvlm
Source count: Pending verification
Coverage: 50%
Last proof check: 2026-03-26T20:30:34.850Z
Signal Canvas receipt window
/buildability/rvlm-recursive-vision-language-models-with-adaptive-depth
Subject: RVLM: Recursive Vision-Language Models with Adaptive Depth
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
Preparing verified analysis
Dimensions overall score 7.0
CLAIM MAP
No public claim map is available for this paper yet.
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Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/rvlm-recursive-vision-language-models-with-adaptive-depth
Paper ref
rvlm-recursive-vision-language-models-with-adaptive-depth
arXiv id
2603.24224
Generated at
2026-03-26T20:30:34.850Z
Evidence freshness
stale
Last verification
2026-03-26T20:30:34.850Z
Sources
0
References
0
Coverage
50%
Lineage hash
66ab48423be5705cf4ae1fde0fd0402e621b5589e0afc5d2cc9e79026a5e16aa
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
references
distribution_readiness_scores