proof blockPage 376%
This equation defines the score or evaluation function that determines model quality.
Page and bbox are available; crop image is pending.
Large Language Models Explore by Latent Distilling explores Exploratory Sampling (ESamp) is a decoding approach for LLMs that boosts semantic diversity and reasoning performance by using a lightweight distiller to predict novelty signals, with less than 5% overhead.. Commercial viability score: 7/10 in LLM Exploration.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/large-language-models-explore-by-latent-distilling
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID large-language-models-explore-by-latent-distilling | Route /paper/large-language-models-explore-by-latent-distilling
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/large-language-models-explore-by-latent-distillingMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.24927"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Large Language Models Explore by Latent Distilling",
"normalized_query": "2604.24927",
"route": "/paper/large-language-models-explore-by-latent-distilling",
"paper_ref": "large-language-models-explore-by-latent-distilling",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/large-language-models-explore-by-latent-distilling
Subject: Large Language Models Explore by Latent Distilling
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
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.
Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Preparing verified analysis
Dimensions overall score 7.0
No public claim map is available for this paper yet.
Visual citation anchors from the paper document graph.
This equation defines the score or evaluation function that determines model quality.
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. ratio: r(s, z) = log πref(z|s) −log qdist(z|s). Substituting
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References are not available from the internal index yet.
Receipt path
/buildability/large-language-models-explore-by-latent-distilling
Paper ref
large-language-models-explore-by-latent-distilling
arXiv id
2604.24927
Generated at
2026-04-29T20:26:04.378Z
Evidence freshness
fresh
Last verification
2026-04-29T20:26:04.378Z
Sources
4
References
0
Coverage
67%
Lineage hash
66899639d856cc8f92c5a612e251bf18b1e9cbf119b035a653707b964b11deff
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
proof_status
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This equation captures one of the core mathematical components of the system. Our goal is to quantify how each candidate token z ∈V
Page and bbox are available; crop image is pending.
No public competitor map is available for this paper yet.
Research neighborhood
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