Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation Strategies
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/evaluating-multi-hop-reasoning-in-rag-systems-a-comparison-of-llm-based-retriever-evaluation-strategies
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 7/10
- Last proof check
- 2026-04-21
- Score updated
- 2026-04-21
- Score fresh until
- 2026-05-21
- References
- 0
- Source count
- 4
- Coverage
- 83%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation Strategies
Canonical ID evaluating-multi-hop-reasoning-in-rag-systems-a-comparison-of-llm-based-retriever-evaluation-strategies | Route /signal-canvas/evaluating-multi-hop-reasoning-in-rag-systems-a-comparison-of-llm-based-retriever-evaluation-strategies
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/evaluating-multi-hop-reasoning-in-rag-systems-a-comparison-of-llm-based-retriever-evaluation-strategiesMCP example
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}
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Route status: buildingClaims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation Strategies
PDF: https://arxiv.org/pdf/2604.18234v1
Repository: https://github.com/lorenzbrehme/CARE
Source count: 4
Coverage: 83%
Last proof check: 2026-04-21T20:33:47.995Z
Signal Canvas receipt window
Ready for execution: Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation Strategies
/buildability/evaluating-multi-hop-reasoning-in-rag-systems-a-comparison-of-llm-based-retriever-evaluation-strategies
Subject: Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation Strategies
Verdict
Build Now
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Structured compute envelope
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Evidence ids
Receipt path
/buildability/evaluating-multi-hop-reasoning-in-rag-systems-a-comparison-of-llm-based-retriever-evaluation-strategies
Paper ref
evaluating-multi-hop-reasoning-in-rag-systems-a-comparison-of-llm-based-retriever-evaluation-strategies
arXiv id
2604.18234
Freshness
Generated at
2026-04-21T20:33:47.995Z
Evidence freshness
stale
Last verification
2026-04-21T20:33:47.995Z
Sources
4
References
0
Coverage
83%
Hash state
Lineage hash
ed61f8ca8c04c11ef6d6e3bb14f2ec53dcb361820ae79749bdb46c1c0028dbf3
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: references
Pending verification refs / 4 sources / Verification pending
references
Paper Conversation
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Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation Strategies
Canonical Paper Receipt
Last verification: 2026-04-21T20:33:47.995ZFreshness: stale
Proof: unverified
Repo: active
References: 0
Sources: 4
Coverage: 83%
- - references
No unresolved unknowns recorded.
Preparing verified analysis
Dimensions overall score 7.0
GitHub Code Pulse
Key claims
Startup potential card
Related Resources
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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