From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems

From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/from-flat-logs-to-causal-graphs-hierarchical-failure-attribution-for-llm-based-multi-agent-systems

stale

Proof freshness: stale
Proof status: unverified
Display score: 5/10
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 from-flat-logs-to-causal-graphs-hierarchical-failure-attribution-for-llm-based-multi-agent-systems | Route /signal-canvas/from-flat-logs-to-causal-graphs-hierarchical-failure-attribution-for-llm-based-multi-agent-systems

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/from-flat-logs-to-causal-graphs-hierarchical-failure-attribution-for-llm-based-multi-agent-systems

MCP example

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  }
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source_context

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  "query": "From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems",
  "normalized_query": "2602.23701",
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Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems

PDF: https://arxiv.org/pdf/2602.23701v1

Source count: Pending verification

Coverage: 17%

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

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Watch and verify: From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems

/buildability/from-flat-logs-to-causal-graphs-hierarchical-failure-attribution-for-llm-based-multi-agent-systems

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Subject: From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems

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