FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
Compared to this week’s papers
Verification pending
Use This Via API or MCP
Use Signal Canvas as the narrative proof surface
Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.
Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/fedproxy-federated-fine-tuning-of-llms-via-proxy-slms-and-heterogeneity-aware-fusion
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 7/10
- Last proof check
- 2026-04-22
- Score updated
- 2026-04-22
- Score fresh until
- 2026-05-22
- 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
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
Canonical ID fedproxy-federated-fine-tuning-of-llms-via-proxy-slms-and-heterogeneity-aware-fusion | Route /signal-canvas/fedproxy-federated-fine-tuning-of-llms-via-proxy-slms-and-heterogeneity-aware-fusion
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/fedproxy-federated-fine-tuning-of-llms-via-proxy-slms-and-heterogeneity-aware-fusionMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "fedproxy-federated-fine-tuning-of-llms-via-proxy-slms-and-heterogeneity-aware-fusion",
"query_text": "Summarize FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion",
"normalized_query": "2604.19015",
"route": "/signal-canvas/fedproxy-federated-fine-tuning-of-llms-via-proxy-slms-and-heterogeneity-aware-fusion",
"paper_ref": "fedproxy-federated-fine-tuning-of-llms-via-proxy-slms-and-heterogeneity-aware-fusion",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
PDF: https://arxiv.org/pdf/2604.19015v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-22T02:14:54.343Z
Signal Canvas receipt window
Watch and verify: FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
/buildability/fedproxy-federated-fine-tuning-of-llms-via-proxy-slms-and-heterogeneity-aware-fusion
Subject: FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Compute envelope
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Evidence ids
Receipt path
/buildability/fedproxy-federated-fine-tuning-of-llms-via-proxy-slms-and-heterogeneity-aware-fusion
Paper ref
fedproxy-federated-fine-tuning-of-llms-via-proxy-slms-and-heterogeneity-aware-fusion
arXiv id
2604.19015
Freshness
Generated at
2026-04-22T02:14:54.343Z
Evidence freshness
stale
Last verification
2026-04-22T02:14:54.343Z
Sources
3
References
0
Coverage
50%
Hash state
Lineage hash
11918b6ff21405dbb51a7ff8d99083f9e8303388d67eb7c84e8953964051b300
Canonical opportunity-kernel lineage hash.
Signature state
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.
Blockers
- Missing: repo_url
- Missing: references
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
Pending verification refs / 3 sources / Verification pending
repo_url
references
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
Canonical Paper Receipt
Last verification: 2026-04-22T02:14:54.343ZFreshness: stale
Proof: unverified
Repo: missing
References: 0
Sources: 3
Coverage: 50%
- - repo_url
- - references
- - proof_status
- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 7.0
GitHub Code Pulse
No public code linked for this paper yet.
Key claims
Startup potential card
Related Resources
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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