Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Canonical route: /signal-canvas/matryoshkalora-learning-accurate-hierarchical-low-rank-representations-for-llm-fine-tuning
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Agent Handoff
Canonical ID matryoshkalora-learning-accurate-hierarchical-low-rank-representations-for-llm-fine-tuning | Route /signal-canvas/matryoshkalora-learning-accurate-hierarchical-low-rank-representations-for-llm-fine-tuning
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/matryoshkalora-learning-accurate-hierarchical-low-rank-representations-for-llm-fine-tuningMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "matryoshkalora-learning-accurate-hierarchical-low-rank-representations-for-llm-fine-tuning",
"query_text": "Summarize MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning",
"normalized_query": "2605.07850",
"route": "/signal-canvas/matryoshkalora-learning-accurate-hierarchical-low-rank-representations-for-llm-fine-tuning",
"paper_ref": "matryoshkalora-learning-accurate-hierarchical-low-rank-representations-for-llm-fine-tuning",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning
PDF: https://arxiv.org/pdf/2605.07850v1
Repository: https://github.com/IST-DASLab/MatryoshkaLoRA
Source count: 4
Coverage: 83%
Last proof check: 2026-05-11T20:36:03.320Z
Signal Canvas receipt window
/buildability/matryoshkalora-learning-accurate-hierarchical-low-rank-representations-for-llm-fine-tuning
Subject: MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning
Verdict
Preparing verified analysis
Dimensions overall score 7.0
CLAIM MAP
No public claim map is available for this paper yet.
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
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Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/matryoshkalora-learning-accurate-hierarchical-low-rank-representations-for-llm-fine-tuning
Paper ref
matryoshkalora-learning-accurate-hierarchical-low-rank-representations-for-llm-fine-tuning
arXiv id
2605.07850
Generated at
2026-05-11T20:36:03.320Z
Evidence freshness
stale
Last verification
2026-05-11T20:36:03.320Z
Sources
4
References
0
Coverage
83%
Lineage hash
39bd3f1543ba55b4d89366563412bb2598181abf33f6a78702948bd0cb1e7db5
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