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/language-diffusion-models-are-associative-memories-capable-of-retrieving-unseen-data
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 language-diffusion-models-are-associative-memories-capable-of-retrieving-unseen-data | Route /signal-canvas/language-diffusion-models-are-associative-memories-capable-of-retrieving-unseen-data
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/language-diffusion-models-are-associative-memories-capable-of-retrieving-unseen-dataMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "language-diffusion-models-are-associative-memories-capable-of-retrieving-unseen-data",
"query_text": "Summarize Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data",
"normalized_query": "2604.26841",
"route": "/signal-canvas/language-diffusion-models-are-associative-memories-capable-of-retrieving-unseen-data",
"paper_ref": "language-diffusion-models-are-associative-memories-capable-of-retrieving-unseen-data",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data
PDF: https://arxiv.org/pdf/2604.26841v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-30T15:14:12.808Z
Signal Canvas receipt window
/buildability/language-diffusion-models-are-associative-memories-capable-of-retrieving-unseen-data
Subject: Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Preparing verified analysis
Dimensions overall score 4.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 30, "author": "Bao Pham; Mohammed J. Zaki; Luca Ambrogioni; Dmitry Krotov; Matteo Negri"
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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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/language-diffusion-models-are-associative-memories-capable-of-retrieving-unseen-data
Paper ref
language-diffusion-models-are-associative-memories-capable-of-retrieving-unseen-data
arXiv id
2604.26841
Generated at
2026-04-30T15:14:12.808Z
Evidence freshness
stale
Last verification
2026-04-30T15:14:12.808Z
Sources
3
References
0
Coverage
50%
Lineage hash
1e7381ca3819d83efea510683fd814568de32d188c11de1f17baff96cb005ab4
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