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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Use This Via API or MCP
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/evolutionary-negative-module-pruning-for-better-lora-merging
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 evolutionary-negative-module-pruning-for-better-lora-merging | Route /signal-canvas/evolutionary-negative-module-pruning-for-better-lora-merging
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/evolutionary-negative-module-pruning-for-better-lora-mergingMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "evolutionary-negative-module-pruning-for-better-lora-merging",
"query_text": "Summarize Evolutionary Negative Module Pruning for Better LoRA Merging"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Evolutionary Negative Module Pruning for Better LoRA Merging",
"normalized_query": "2604.17753",
"route": "/signal-canvas/evolutionary-negative-module-pruning-for-better-lora-merging",
"paper_ref": "evolutionary-negative-module-pruning-for-better-lora-merging",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Evolutionary Negative Module Pruning for Better LoRA Merging
PDF: https://arxiv.org/pdf/2604.17753v1
Repository: https://github.com/CaoAnda/ENMP-LoRAMerging
Source count: 4
Coverage: 83%
Last proof check: 2026-04-21T20:33:50.566Z
Signal Canvas receipt window
/buildability/evolutionary-negative-module-pruning-for-better-lora-merging
Subject: Evolutionary Negative Module Pruning for Better LoRA Merging
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
Preparing verified analysis
Dimensions overall score 8.0
{"file name": "input.pdf", "number of pages": 14, "author": "Anda Cao; Zhuo Gou; Yi Wang; Kaixuan Chen; Yu Wang; Can Wang; Mingli Song; Jie Song", "title": "Evolutionary Negative Module Pruning for Better LoRA Merging"
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/evolutionary-negative-module-pruning-for-better-lora-merging
Paper ref
evolutionary-negative-module-pruning-for-better-lora-merging
arXiv id
2604.17753
Generated at
2026-04-21T20:33:50.566Z
Evidence freshness
stale
Last verification
2026-04-21T20:33:50.566Z
Sources
4
References
0
Coverage
83%
Lineage hash
4b6ee1551e942a91ba6ee34eb7f3eea450fa3bc486e4ae5f19208a30c996d294
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