proof block
LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues explores LePREC: A neuro-symbolic framework combining LLMs and statistical reasoning to improve legal issue identification accuracy.. Commercial viability score: 7/10 in Legal AI.
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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/leprec-reasoning-as-classification-over-structured-factors-for-assessing-relevance-of-legal-issues
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 leprec-reasoning-as-classification-over-structured-factors-for-assessing-relevance-of-legal-issues | Route /paper/leprec-reasoning-as-classification-over-structured-factors-for-assessing-relevance-of-legal-issues
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/leprec-reasoning-as-classification-over-structured-factors-for-assessing-relevance-of-legal-issuesMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.19464"
}
}source_context
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"query": "LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues",
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"paper_ref": "leprec-reasoning-as-classification-over-structured-factors-for-assessing-relevance-of-legal-issues",
"topic_slug": null,
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}Paper proof page receipt window
/buildability/leprec-reasoning-as-classification-over-structured-factors-for-assessing-relevance-of-legal-issues
Subject: LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues
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.
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
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Preparing verified analysis
Dimensions overall score 7.0
Visual citation anchors from the paper document graph.
Owned Distribution
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References are not available from the internal index yet.
Receipt path
/buildability/leprec-reasoning-as-classification-over-structured-factors-for-assessing-relevance-of-legal-issues
Paper ref
leprec-reasoning-as-classification-over-structured-factors-for-assessing-relevance-of-legal-issues
arXiv id
2604.19464
Generated at
2026-04-22T02:15:15.163Z
Evidence freshness
stale
Last verification
2026-04-22T02:15:15.163Z
Sources
3
References
70
Coverage
67%
Lineage hash
b25e50777a577d04439d1ce262fac88ed913159884be727323327bf1b49e9cb5
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.
70 refs / 3 sources / Verification pending
repo_url
proof_status
This equation captures one of the core mathematical components of the system. FBD EMBD Self-EMBD Self-BLEU (n=3,4,5) Distinct-N (n=3,4 Baseline 1311 1354 211.8 11.85/14.52/16.64 8250/8559/8604 Ours
Page and bbox are available; crop image is pending.
This equation describes how the model state or parameters are updated from one step to the next.
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. exhibits high variance (F1 = 52.31±13.4) due to its
Page and bbox are available; crop image is pending.
No public competitor map is available for this paper yet.