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/self-augmenting-retrieval-for-diffusion-language-models
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID self-augmenting-retrieval-for-diffusion-language-models | Route /signal-canvas/self-augmenting-retrieval-for-diffusion-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/self-augmenting-retrieval-for-diffusion-language-modelsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "self-augmenting-retrieval-for-diffusion-language-models",
"query_text": "Summarize Self-Augmenting Retrieval for Diffusion Language Models"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Self-Augmenting Retrieval for Diffusion Language Models",
"normalized_query": "2606.06474",
"route": "/signal-canvas/self-augmenting-retrieval-for-diffusion-language-models",
"paper_ref": "self-augmenting-retrieval-for-diffusion-language-models",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Self-Augmenting Retrieval for Diffusion Language Models
PDF: https://arxiv.org/pdf/2606.06474v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-06T03:17:24.682Z
Signal Canvas receipt window
/buildability/self-augmenting-retrieval-for-diffusion-language-models
Subject: Self-Augmenting Retrieval for Diffusion Language Models
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 0.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 15, "author": "Paul J\u00fcnger; Justin Lovelace; Linxi Zhao; Dongyoung Go; Kilian Q. Weinberger", "title": "Self-Augmenting Retrieval for Diffusion Language Models"
Implication not extracted yet.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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Receipt path
/buildability/self-augmenting-retrieval-for-diffusion-language-models
Paper ref
self-augmenting-retrieval-for-diffusion-language-models
arXiv id
2606.06474
Generated at
2026-06-06T03:17:24.682Z
Evidence freshness
fresh
Last verification
2026-06-06T03:17:24.682Z
Sources
3
References
0
Coverage
50%
Lineage hash
73cc9c0b3a68cc1dcdc19ff5c69ff2f9925ef01169f0fe84b9faf5845291bf82
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