Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
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Page Freshness
Canonical route: /signal-canvas/tempovla-learning-speed-controllable-vision-language-action-policies
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID tempovla-learning-speed-controllable-vision-language-action-policies | Route /signal-canvas/tempovla-learning-speed-controllable-vision-language-action-policies
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/tempovla-learning-speed-controllable-vision-language-action-policiesMCP example
{
"tool": "search_signal_canvas",
"arguments": {
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"paper_ref": "tempovla-learning-speed-controllable-vision-language-action-policies",
"query_text": "Summarize TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies",
"normalized_query": "2606.06491",
"route": "/signal-canvas/tempovla-learning-speed-controllable-vision-language-action-policies",
"paper_ref": "tempovla-learning-speed-controllable-vision-language-action-policies",
"topic_slug": null,
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}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies
PDF: https://arxiv.org/pdf/2606.06491v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-06T03:17:16.244Z
Signal Canvas receipt window
/buildability/tempovla-learning-speed-controllable-vision-language-action-policies
Subject: TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies
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 5.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 20, "author": "Dong Jing; Jingchen Nie; Tianqi Zhang; Jiaqi Liu; Huaxiu Yao; Zhiwu Lu; Mingyu Ding"
Implication not extracted yet.
partial
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Jingchen Nie
Fudan University
Tianqi Zhang
University of North Carolina at Chapel Hill
Jiaqi Liu
University of North Carolina at Chapel Hill
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Time to first demo
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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/tempovla-learning-speed-controllable-vision-language-action-policies
Paper ref
tempovla-learning-speed-controllable-vision-language-action-policies
arXiv id
2606.06491
Generated at
2026-06-06T03:17:16.244Z
Evidence freshness
fresh
Last verification
2026-06-06T03:17:16.244Z
Sources
3
References
0
Coverage
50%
Lineage hash
c1afa9618a437f3bf3e96ad1a2d9d1f515736a82855c5a00695787b94638f3cb
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.
Pending verification refs / 3 sources / Verification pending
repo_url
references