LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance

LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/llm-attribution-analysis-across-different-fine-tuning-strategies-and-model-scales-for-automated-code-compliance

stale

Proof freshness: stale
Proof status: unverified
Display score: 4/10
Last proof check: 2026-04-20
Score updated: 2026-04-20
Score fresh until: 2026-05-20
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

Canonical ID llm-attribution-analysis-across-different-fine-tuning-strategies-and-model-scales-for-automated-code-compliance | Route /signal-canvas/llm-attribution-analysis-across-different-fine-tuning-strategies-and-model-scales-for-automated-code-compliance

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curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/llm-attribution-analysis-across-different-fine-tuning-strategies-and-model-scales-for-automated-code-compliance

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 4

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance

PDF: https://arxiv.org/pdf/2604.15589v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-20T20:24:39.818Z

Signal Canvas receipt window

Not build-ready: LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance

/buildability/llm-attribution-analysis-across-different-fine-tuning-strategies-and-model-scales-for-automated-code-compliance

Ignoreblocked

Subject: LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 4Mixed 0Weak 0

Evidencepartial
LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance Jack Wei Lun Shi1, Minghao Dang1,2, Wawan Solihin1,3, Justin K.W
Implicationmissing
Implication not extracted yet.
Verificationpartial
partial
Evidencepartial
SSW 4.3.4 (d) (iv) No discharge pipe connection vertical bends: 4.3.4 Discharge Stacks Offsetsd. Horizontal offset, any, comply following requirements:iv
Implicationmissing
Implication not extracted yet.
Verificationpartial
partial
Evidencepartial
SWD 10.1 (a) Pumping capacity: 10 Pumped Drainage System 10.1 minimum design operation criteria pumped drainage system follows: (a) pumping capacity adequate cater immediate discharge storm water ingress not lessthan 150
Implicationmissing
Implication not extracted yet.
Verificationpartial
partial
Evidencepartial
7.30.4 Shadow areas Sloping ground: Shadow areas existing undulating sloping terrain sloping ground below building structures, platform deck excluded gross floor area computation. qualify exemption
Implicationmissing
Implication not extracted yet.
Verificationpartial
partial

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LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance

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