CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery

CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/coral-towards-autonomous-multi-agent-evolution-for-open-ended-discovery

stale

Proof freshness: stale
Proof status: verified
Display score: 8/10
Last proof check: 2026-04-03
Score updated: 2026-04-03
Score fresh until: 2026-05-03
References: 0
Source count: 0
Coverage: 67%

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

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Canonical ID coral-towards-autonomous-multi-agent-evolution-for-open-ended-discovery | Route /signal-canvas/coral-towards-autonomous-multi-agent-evolution-for-open-ended-discovery

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/coral-towards-autonomous-multi-agent-evolution-for-open-ended-discovery

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 8

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery

PDF: https://arxiv.org/pdf/2604.01658v1

Repository: https://github.com/Human-Agent-Society/CORAL

Source count: Pending verification

Coverage: 67%

Last proof check: 2026-04-03T20:30:34.386Z

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Ready for execution: CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery

/buildability/coral-towards-autonomous-multi-agent-evolution-for-open-ended-discovery

Build Nowready

Subject: CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery

Verdict

Build Now

Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.

Preparing verified analysis

GitHub Code Pulse

Trending

Stars

708

Health

Last commit

6/5/2026

Forks

Open repository

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
We present CORAL, the first framework for autonomous multi-agent evolution on open-ended problems.
Implicationpartial
Explicitly stated in abstract as a first-of-its-kind framework
Verificationpartial
partial
Evidencepartial
achieving 3-10 times higher improvement rates with far fewer evaluations than fixed evolutionary search baselines across tasks
Implicationpartial
Direct numeric comparison stated in abstract with specific range
Verificationpartial
partial
Evidencepartial
CORAL sets new state-of-the-art results on 10 tasks
Implicationpartial
Explicit statement of SOTA results with specific task count
Verificationpartial
partial
Evidencepartial
On Anthropic's kernel engineering task, four co-evolving agents improve the best known score from 1363 to 1103 cycles
Implicationpartial
Specific numeric improvement with clear before/after metrics
Verificationpartial
partial
Evidencepartial
CORAL replaces rigid control with long-running agents that explore, reflect, and collaborate through shared persistent memory, asynchronous multi-agent execution, and heartbeat-based interventions
Implicationpartial
Direct description of method components but requires some interpretation of what constitutes 'rigid control'
Verificationpartial
partial
Evidencepartial
Existing methods still rely heavily on fixed heuristics and hard-coded exploration rules, which limit the autonomy of LLM agents
Implicationpartial
Direct statement about limitations of existing methods, though comparative evidence is implied
Verificationpartial
partial
Evidencepartial
Mechanistic analyses further show how these gains arise from knowledge reuse and multi-agent exploration and communication
Implicationpartial
Direct statement about mechanistic causes of performance improvements
Verificationpartial
partial
Evidencepartial
Together, these results suggest that greater agent autonomy and multi-agent evolution can substantially improve open-ended discovery
Implicationpartial
Conclusion drawn from results but represents an inference from the evidence presented
Verificationpartial
partial

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CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery

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