Towards a Science of Collective AI: LLM-based Multi-Agent Systems Need a Transition from Blind Trial-and-Error to Rigorous Science

Towards a Science of Collective AI: LLM-based Multi-Agent Systems Need a Transition from Blind Trial-and-Error to Rigorous Science | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/towards-a-science-of-collective-ai-llm-based-multi-agent-systems-need-a-transition-from-blind-trial-and-error-to-rigorou

stale

Proof freshness: stale
Proof status: unverified
Display score: 4/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

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 towards-a-science-of-collective-ai-llm-based-multi-agent-systems-need-a-transition-from-blind-trial-and-error-to-rigorou | Route /signal-canvas/towards-a-science-of-collective-ai-llm-based-multi-agent-systems-need-a-transition-from-blind-trial-and-error-to-rigorou

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/towards-a-science-of-collective-ai-llm-based-multi-agent-systems-need-a-transition-from-blind-trial-and-error-to-rigorou

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "towards-a-science-of-collective-ai-llm-based-multi-agent-systems-need-a-transition-from-blind-trial-and-error-to-rigorou",
    "query_text": "Summarize Towards a Science of Collective AI: LLM-based Multi-Agent Systems Need a Transition from Blind Trial-and-Error to Rigorous Science"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Towards a Science of Collective AI: LLM-based Multi-Agent Systems Need a Transition from Blind Trial-and-Error to Rigorous Science",
  "normalized_query": "2602.05289",
  "route": "/signal-canvas/towards-a-science-of-collective-ai-llm-based-multi-agent-systems-need-a-transition-from-blind-trial-and-error-to-rigorou",
  "paper_ref": "towards-a-science-of-collective-ai-llm-based-multi-agent-systems-need-a-transition-from-blind-trial-and-error-to-rigorou",
  "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: Towards a Science of Collective AI: LLM-based Multi-Agent Systems Need a Transition from Blind Trial-and-Error to Rigorous Science

PDF: https://arxiv.org/pdf/2602.05289v1

Source count: Pending verification

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

Signal Canvas receipt window

Not build-ready: Towards a Science of Collective AI: LLM-based Multi-Agent Systems Need a Transition from Blind Trial-and-Error to Rigorous Science

/buildability/towards-a-science-of-collective-ai-llm-based-multi-agent-systems-need-a-transition-from-blind-trial-and-error-to-rigorou

Ignoreblocked

Subject: Towards a Science of Collective AI: LLM-based Multi-Agent Systems Need a Transition from Blind Trial-and-Error to Rigorous Science

Verdict

Towards a Science of Collective AI: LLM-based Multi-Agent Systems Need a Transition from Blind Trial-and-Error to Rigorous Science

Use Signal Canvas as the narrative proof surface

Use this Signal Canvas via API or MCP

Signal Canvas proof surface