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/learning-from-less-measuring-the-effectiveness-of-rlvr-in-low-data-and-compute-regimes
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 learning-from-less-measuring-the-effectiveness-of-rlvr-in-low-data-and-compute-regimes | Route /signal-canvas/learning-from-less-measuring-the-effectiveness-of-rlvr-in-low-data-and-compute-regimes
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/learning-from-less-measuring-the-effectiveness-of-rlvr-in-low-data-and-compute-regimesMCP example
{
"tool": "search_signal_canvas",
"arguments": {
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"paper_ref": "learning-from-less-measuring-the-effectiveness-of-rlvr-in-low-data-and-compute-regimes",
"query_text": "Summarize Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes",
"normalized_query": "2604.18381",
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"paper_ref": "learning-from-less-measuring-the-effectiveness-of-rlvr-in-low-data-and-compute-regimes",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes
PDF: https://arxiv.org/pdf/2604.18381v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-21T04:19:10.098Z
Signal Canvas receipt window
/buildability/learning-from-less-measuring-the-effectiveness-of-rlvr-in-low-data-and-compute-regimes
Subject: Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes
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": 12, "author": "Justin Bauer; Thomas Walshe; Derek Pham; Harit Vishwakarma; Armin Parchami; Frederic Sala; Paroma Varma"
Implication not extracted yet.
partial
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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/learning-from-less-measuring-the-effectiveness-of-rlvr-in-low-data-and-compute-regimes
Paper ref
learning-from-less-measuring-the-effectiveness-of-rlvr-in-low-data-and-compute-regimes
arXiv id
2604.18381
Generated at
2026-04-21T04:19:10.098Z
Evidence freshness
stale
Last verification
2026-04-21T04:19:10.098Z
Sources
3
References
0
Coverage
50%
Lineage hash
a0a0389e3776b21321180208dfa5abf0458314ed55ab5f780506f950c9043cdd
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