mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code explores Fine-tuning LLMs for detecting machine-generated code across various programming languages and subtasks.. Commercial viability score: 3/10 in LLM Code Analysis.
Use This Via API or MCP
This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/mcdok-at-semeval-2026-task-13-finetuning-llms-for-detection-of-machine-generated-code
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID mcdok-at-semeval-2026-task-13-finetuning-llms-for-detection-of-machine-generated-code | Route /paper/mcdok-at-semeval-2026-task-13-finetuning-llms-for-detection-of-machine-generated-code
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/mcdok-at-semeval-2026-task-13-finetuning-llms-for-detection-of-machine-generated-codeMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.21365"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code",
"normalized_query": "2604.21365",
"route": "/paper/mcdok-at-semeval-2026-task-13-finetuning-llms-for-detection-of-machine-generated-code",
"paper_ref": "mcdok-at-semeval-2026-task-13-finetuning-llms-for-detection-of-machine-generated-code",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/mcdok-at-semeval-2026-task-13-finetuning-llms-for-detection-of-machine-generated-code
Subject: mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
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.
Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Research neighborhood
Interactive graph renders after load.
Preparing verified analysis
Dimensions overall score 3.0
Visual citation anchors from the paper document graph.
Owned Distribution
Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.
References are not available from the internal index yet.
Receipt path
/buildability/mcdok-at-semeval-2026-task-13-finetuning-llms-for-detection-of-machine-generated-code
Paper ref
mcdok-at-semeval-2026-task-13-finetuning-llms-for-detection-of-machine-generated-code
arXiv id
2604.21365
Generated at
2026-04-24T20:32:40.797Z
Evidence freshness
fresh
Last verification
2026-04-24T20:32:40.797Z
Sources
4
References
0
Coverage
67%
Lineage hash
30cfc770d120c4f9ed1682c1c28192f7edbccc37ad589bfb24809ff341fa9dc4
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
proof_status
{"file name": "input.pdf", "number of pages": 6, "author": "Adam Skurla; Dominik Macko; Jakub Simko", "title": "mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code", "creation date": null, "modification date": null, "kids": []}
Page and bbox are available; crop image is pending.
No public competitor map is available for this paper yet.