Skip to main content

LUDOBENCH: Evaluating LLM Behavioural Decision-Making Through Spot-Based Board Game Scenarios in Ludo

Stale14d agoVerification pending / evidence receipt incomplete
Viability
0.0/10

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/ludobench-evaluating-llm-behavioural-decision-making-through-spot-based-board-game-scenarios-in-ludo

stale
Proof freshness
fresh
Proof status
unverified
Display score
8/10
Last proof check
2026-04-08
Score updated
2026-04-08
Score fresh until
2026-05-08
References
0
Source count
0
Coverage
0%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

LUDOBENCH: Evaluating LLM Behavioural Decision-Making Through Spot-Based Board Game Scenarios in Ludo

Canonical ID ludobench-evaluating-llm-behavioural-decision-making-through-spot-based-board-game-scenarios-in-ludo | Route /signal-canvas/ludobench-evaluating-llm-behavioural-decision-making-through-spot-based-board-game-scenarios-in-ludo

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/ludobench-evaluating-llm-behavioural-decision-making-through-spot-based-board-game-scenarios-in-ludo

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "ludobench-evaluating-llm-behavioural-decision-making-through-spot-based-board-game-scenarios-in-ludo",
    "query_text": "Summarize LUDOBENCH: Evaluating LLM Behavioural Decision-Making Through Spot-Based Board Game Scenarios in Ludo"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "LUDOBENCH: Evaluating LLM Behavioural Decision-Making Through Spot-Based Board Game Scenarios in Ludo",
  "normalized_query": "2604.05681",
  "route": "/signal-canvas/ludobench-evaluating-llm-behavioural-decision-making-through-spot-based-board-game-scenarios-in-ludo",
  "paper_ref": "ludobench-evaluating-llm-behavioural-decision-making-through-spot-based-board-game-scenarios-in-ludo",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: LUDOBENCH: Evaluating LLM Behavioural Decision-Making Through Spot-Based Board Game Scenarios in Ludo

PDF: https://arxiv.org/pdf/2604.05681v1

Source count: Pending verification

Coverage: 0%

Last proof check: 2026-04-08T03:21:54.703Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

LUDOBENCH: Evaluating LLM Behavioural Decision-Making Through Spot-Based Board Game Scenarios in Ludo

Overall score: 8/10
Lineage: c1ebf424d8d6

Canonical Paper Receipt

Last verification: 2026-04-08T03:21:54.703Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 0%

Missingness
  • - paper_evidence_receipts.references_count
  • - paper_evidence_receipts.coverage
Unknowns
  • - Canonical evidence receipt has not been materialized yet.

Preparing verified analysis

Dimensions overall score 8.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

No public claim map is available for this paper yet.

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

Startup potential card

Startup potential card preview

Related Resources

Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

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.