Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
Use This Via API or MCP
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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/differentially-private-preference-data-synthesis-for-large-language-model-alignment
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 differentially-private-preference-data-synthesis-for-large-language-model-alignment | Route /signal-canvas/differentially-private-preference-data-synthesis-for-large-language-model-alignment
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/differentially-private-preference-data-synthesis-for-large-language-model-alignmentMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "differentially-private-preference-data-synthesis-for-large-language-model-alignment",
"query_text": "Summarize Differentially Private Preference Data Synthesis for Large Language Model Alignment"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Differentially Private Preference Data Synthesis for Large Language Model Alignment",
"normalized_query": "2605.30808",
"route": "/signal-canvas/differentially-private-preference-data-synthesis-for-large-language-model-alignment",
"paper_ref": "differentially-private-preference-data-synthesis-for-large-language-model-alignment",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Differentially Private Preference Data Synthesis for Large Language Model Alignment
PDF: https://arxiv.org/pdf/2605.30808v1
Repository: https://github.com/gfengyu/Differentially-Private-Preference-Data-Synthesis
Source count: 4
Coverage: 67%
Last proof check: 2026-06-01T20:23:51.782Z
Signal Canvas receipt window
/buildability/differentially-private-preference-data-synthesis-for-large-language-model-alignment
Subject: Differentially Private Preference Data Synthesis for Large Language Model Alignment
Verdict
Preparing verified analysis
Dimensions overall score 7.0
{"file name": "input.pdf", "number of pages": 26, "author": "Fengyu Gao; Jing Yang", "title": "Differentially Private Preference Data Synthesis for Large Language Model Alignment", "creation date": null
Implication not extracted yet.
partial
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Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
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/differentially-private-preference-data-synthesis-for-large-language-model-alignment
Paper ref
differentially-private-preference-data-synthesis-for-large-language-model-alignment
arXiv id
2605.30808
Generated at
2026-06-01T20:23:51.782Z
Evidence freshness
stale
Last verification
2026-06-01T20:23:51.782Z
Sources
4
References
0
Coverage
67%
Lineage hash
e771703fa8870f343457f0d967081b41874ab37d855cf352fb9d508b1e30ab73
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