Evidence Receipt. Related Resources.
Differentially Private Model Merging
Compared to this week’s papers
Verification pending
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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
Signal Canvas proof surface
Canonical route: /signal-canvas/differentially-private-model-merging
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 4/10
- Last proof check
- 2026-04-24
- Score updated
- 2026-04-24
- Score fresh until
- 2026-05-24
- References
- 0
- Source count
- 3
- Coverage
- 50%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Differentially Private Model Merging
Canonical ID differentially-private-model-merging | Route /signal-canvas/differentially-private-model-merging
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/differentially-private-model-mergingMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "differentially-private-model-merging",
"query_text": "Summarize Differentially Private Model Merging"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Differentially Private Model Merging",
"normalized_query": "2604.20985",
"route": "/signal-canvas/differentially-private-model-merging",
"paper_ref": "differentially-private-model-merging",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Preparing verified analysis
Dimensions overall score 4.0
GitHub Code Pulse
No public code linked for this paper yet.
Claim map
- Evidencepartial
{"file name": "input.pdf", "number of pages": 22, "author": "Qichuan Yin; Manzil Zaheer; Tian Li", "title": "Differentially Private Model Merging", "creation date": null, "modification date": null, "kids": []}
ImplicationmissingImplication not extracted yet.
Verificationpartialpartial
Startup potential card
Related Resources
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
