SPREG: Structured Plan Repair with Entropy-Guided Test-Time Intervention for Large Language Model Reasoning
Compared to this week’s papers
Verification pending
Use This Via API or MCP
Use Signal Canvas as the narrative proof surface
Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.
Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/spreg-structured-plan-repair-with-entropy-guided-test-time-intervention-for-large-language-model-reasoning
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 5/10
- Last proof check
- 2026-04-21
- Score updated
- 2026-04-21
- Score fresh until
- 2026-05-21
- References
- 0
- Source count
- 4
- Coverage
- 67%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
SPREG: Structured Plan Repair with Entropy-Guided Test-Time Intervention for Large Language Model Reasoning
Canonical ID spreg-structured-plan-repair-with-entropy-guided-test-time-intervention-for-large-language-model-reasoning | Route /signal-canvas/spreg-structured-plan-repair-with-entropy-guided-test-time-intervention-for-large-language-model-reasoning
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/spreg-structured-plan-repair-with-entropy-guided-test-time-intervention-for-large-language-model-reasoningMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "spreg-structured-plan-repair-with-entropy-guided-test-time-intervention-for-large-language-model-reasoning",
"query_text": "Summarize SPREG: Structured Plan Repair with Entropy-Guided Test-Time Intervention for Large Language Model Reasoning"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "SPREG: Structured Plan Repair with Entropy-Guided Test-Time Intervention for Large Language Model Reasoning",
"normalized_query": "2604.17884",
"route": "/signal-canvas/spreg-structured-plan-repair-with-entropy-guided-test-time-intervention-for-large-language-model-reasoning",
"paper_ref": "spreg-structured-plan-repair-with-entropy-guided-test-time-intervention-for-large-language-model-reasoning",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: SPREG: Structured Plan Repair with Entropy-Guided Test-Time Intervention for Large Language Model Reasoning
PDF: https://arxiv.org/pdf/2604.17884v1
Source count: 4
Coverage: 67%
Last proof check: 2026-04-21T20:33:49.808Z
Signal Canvas receipt window
Watch and verify: SPREG: Structured Plan Repair with Entropy-Guided Test-Time Intervention for Large Language Model Reasoning
/buildability/spreg-structured-plan-repair-with-entropy-guided-test-time-intervention-for-large-language-model-reasoning
Subject: SPREG: Structured Plan Repair with Entropy-Guided Test-Time Intervention for Large Language Model Reasoning
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.
Compute envelope
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Evidence ids
Receipt path
/buildability/spreg-structured-plan-repair-with-entropy-guided-test-time-intervention-for-large-language-model-reasoning
Paper ref
spreg-structured-plan-repair-with-entropy-guided-test-time-intervention-for-large-language-model-reasoning
arXiv id
2604.17884
Freshness
Generated at
2026-04-21T20:33:49.808Z
Evidence freshness
stale
Last verification
2026-04-21T20:33:49.808Z
Sources
4
References
0
Coverage
67%
Hash state
Lineage hash
1ebdcab065304aef97b849b67f20fce14422a011a741c767288273d4040c0964
Canonical opportunity-kernel lineage hash.
Signature state
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.
Blockers
- Missing: repo_url
- Missing: references
Pending verification refs / 4 sources / Verification pending
repo_url
references
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
SPREG: Structured Plan Repair with Entropy-Guided Test-Time Intervention for Large Language Model Reasoning
Canonical Paper Receipt
Last verification: 2026-04-21T20:33:49.808ZFreshness: stale
Proof: unverified
Repo: missing
References: 0
Sources: 4
Coverage: 67%
- - repo_url
- - references
No unresolved unknowns recorded.
Preparing verified analysis
Dimensions overall score 5.0
GitHub Code Pulse
No public code linked for this paper yet.
Key claims
Startup potential card
Related Resources
- What are the emerging techniques for improving LLM reasoning beyond simple pattern matching?(question)
- How do LLM reasoning traces contribute to more transparent and auditable AI systems?(question)
- How can understanding LLM reasoning traces lead to more trustworthy AI assistants in customer service?(question)
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
Lightweight coding agent in your terminal.
Agentic coding tool for terminal workflows.
AI agent mindset installer and workflow scaffolder.
AI-first code editor built on VS Code.
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.