Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/do-sparse-autoencoders-capture-concept-manifolds
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 do-sparse-autoencoders-capture-concept-manifolds | Route /signal-canvas/do-sparse-autoencoders-capture-concept-manifolds
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/do-sparse-autoencoders-capture-concept-manifoldsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "do-sparse-autoencoders-capture-concept-manifolds",
"query_text": "Summarize Do Sparse Autoencoders Capture Concept Manifolds?"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Do Sparse Autoencoders Capture Concept Manifolds?",
"normalized_query": "2604.28119",
"route": "/signal-canvas/do-sparse-autoencoders-capture-concept-manifolds",
"paper_ref": "do-sparse-autoencoders-capture-concept-manifolds",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Do Sparse Autoencoders Capture Concept Manifolds?
PDF: https://arxiv.org/pdf/2604.28119v1
Repository: https://github.com/goodfire-ai/sae-manifold
Source count: 4
Coverage: 83%
Last proof check: 2026-05-01T20:34:37.265Z
Signal Canvas receipt window
/buildability/do-sparse-autoencoders-capture-concept-manifolds
Subject: Do Sparse Autoencoders Capture Concept Manifolds?
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.
Preparing verified analysis
Dimensions overall score 2.0
{"file name": "input.pdf", "number of pages": 33, "author": "Usha Bhalla; Thomas Fel; Can Rager; Sheridan Feucht; Tal Haklay; Daniel Wurgaft; Siddharth Boppana; Matthew Kowal; Vasudev Shyam; Jack Merullo; Atticus Geiger
Implication not extracted yet.
partial
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Receipt path
/buildability/do-sparse-autoencoders-capture-concept-manifolds
Paper ref
do-sparse-autoencoders-capture-concept-manifolds
arXiv id
2604.28119
Generated at
2026-05-01T20:34:37.265Z
Evidence freshness
stale
Last verification
2026-05-01T20:34:37.265Z
Sources
4
References
0
Coverage
83%
Lineage hash
b4818db68e5d4b1a2ff0616ae84d8254640c10c0c62b31affc1a1cb1be58643d
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