proof blockPage 368%
This equation captures one of the core mathematical components of the system. takes in a given MLP’s input activations h ∈Rd and computes a sparse representation z ∈Rn as z =
Page and bbox are available; crop image is pending.
Latent Planning Emerges with Scale explores Investigating how latent planning abilities emerge and scale in Large Language Models through analysis of their internal representations.. Commercial viability score: 1/10 in LLM Reasoning.
Use This Via API or MCP
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/latent-planning-emerges-with-scale
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 latent-planning-emerges-with-scale | Route /paper/latent-planning-emerges-with-scale
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/latent-planning-emerges-with-scaleMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.12493"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Latent Planning Emerges with Scale",
"normalized_query": "2604.12493",
"route": "/paper/latent-planning-emerges-with-scale",
"paper_ref": "latent-planning-emerges-with-scale",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/latent-planning-emerges-with-scale
Subject: Latent Planning Emerges with Scale
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
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 1.0
No public claim map is available for this paper yet.
Visual citation anchors from the paper document graph.
This equation captures one of the core mathematical components of the system. takes in a given MLP’s input activations h ∈Rd and computes a sparse representation z ∈Rn as z =
Page and bbox are available; crop image is pending.
Owned Distribution
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References are not available from the internal index yet.
Receipt path
/buildability/latent-planning-emerges-with-scale
Paper ref
latent-planning-emerges-with-scale
arXiv id
2604.12493
Generated at
2026-04-15T20:33:39.479Z
Evidence freshness
stale
Last verification
2026-04-15T20:33:39.479Z
Sources
4
References
0
Coverage
67%
Lineage hash
29c4273786080de874dcc7bbaa553048454efaf5f685cd136e05bbac5688dd88
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
paper_extraction_scorecards
This equation captures one of the core mathematical components of the system. f (Wench + benc). It then reconstructs the MLP’s output activations h′ ∈Rd as ˜h′ = Wdecz +
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. Formally, a (per-layer) transcoder takes in activations h ∈Rd from a given MLP’s inputs, computes
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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