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/steering-llms-actually-sparse-autoencoders-can-outperform-simple-baselines
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 steering-llms-actually-sparse-autoencoders-can-outperform-simple-baselines | Route /signal-canvas/steering-llms-actually-sparse-autoencoders-can-outperform-simple-baselines
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/steering-llms-actually-sparse-autoencoders-can-outperform-simple-baselinesMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "steering-llms-actually-sparse-autoencoders-can-outperform-simple-baselines",
"query_text": "Summarize Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselines"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselines",
"normalized_query": "2605.31183",
"route": "/signal-canvas/steering-llms-actually-sparse-autoencoders-can-outperform-simple-baselines",
"paper_ref": "steering-llms-actually-sparse-autoencoders-can-outperform-simple-baselines",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselines
PDF: https://arxiv.org/pdf/2605.31183v1
Repository: https://github.com/MikkelGodsk/SAE-labelling
Source count: 4
Coverage: 50%
Last proof check: 2026-06-01T20:22:29.966Z
Signal Canvas receipt window
/buildability/steering-llms-actually-sparse-autoencoders-can-outperform-simple-baselines
Subject: Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselines
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
Preparing verified analysis
Dimensions overall score 7.0
{"file name": "input.pdf", "number of pages": 25, "author": "Mikkel Godsk J\u00f8rgensen; Lars Kai Hansen", "title": "Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselines", "creation date": null
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/steering-llms-actually-sparse-autoencoders-can-outperform-simple-baselines
Paper ref
steering-llms-actually-sparse-autoencoders-can-outperform-simple-baselines
arXiv id
2605.31183
Generated at
2026-06-01T20:22:29.966Z
Evidence freshness
stale
Last verification
2026-06-01T20:22:29.966Z
Sources
4
References
0
Coverage
50%
Lineage hash
1738afb22da337ea37c214670f09bcd8876dbe95126d5a576751480105f7932a
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