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/vla-foundry-a-unified-framework-for-training-vision-language-action-models
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 vla-foundry-a-unified-framework-for-training-vision-language-action-models | Route /signal-canvas/vla-foundry-a-unified-framework-for-training-vision-language-action-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/vla-foundry-a-unified-framework-for-training-vision-language-action-modelsMCP example
{
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"query_text": "Summarize VLA Foundry: A Unified Framework for Training Vision-Language-Action Models"
}
}source_context
{
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"mode": "paper",
"query": "VLA Foundry: A Unified Framework for Training Vision-Language-Action Models",
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"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: VLA Foundry: A Unified Framework for Training Vision-Language-Action Models
PDF: https://arxiv.org/pdf/2604.19728v1
Repository: https://github.com/TRI-ML/vla_foundry
Source count: 4
Coverage: 83%
Last proof check: 2026-04-22T20:32:42.974Z
Signal Canvas receipt window
/buildability/vla-foundry-a-unified-framework-for-training-vision-language-action-models
Subject: VLA Foundry: A Unified Framework for Training Vision-Language-Action Models
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
{"file name": "input.pdf", "number of pages": 32, "author": "Jean Mercat; Sedrick Keh; Kushal Arora; Isabella Huang; Paarth Shah; Haruki Nishimura; Shun Iwase; Katherine Liu"
Implication not extracted yet.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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3yr ROI
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Jean Mercat
Sedrick Keh
Kushal Arora
Isabella Huang
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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/vla-foundry-a-unified-framework-for-training-vision-language-action-models
Paper ref
vla-foundry-a-unified-framework-for-training-vision-language-action-models
arXiv id
2604.19728
Generated at
2026-04-22T20:32:42.974Z
Evidence freshness
stale
Last verification
2026-04-22T20:32:42.974Z
Sources
4
References
0
Coverage
83%
Lineage hash
ff0aba0074f0b061a39c7a199c9fbd22d3fdbc6853688eb9c6ba7d50cbd89655
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 / 4 sources / Verification pending
references