Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/faithfulness-qa-a-counterfactual-entity-substitution-dataset-for-training-context-faithful-rag-models
- Proof freshness
- fresh
- Proof status
- unverified
- Display score
- 8/10
- Last proof check
- 2026-04-29
- Score updated
- 2026-04-29
- Score fresh until
- 2026-05-29
- References
- 0
- Source count
- 4
- Coverage
- 67%
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models
Canonical ID faithfulness-qa-a-counterfactual-entity-substitution-dataset-for-training-context-faithful-rag-models | Route /signal-canvas/faithfulness-qa-a-counterfactual-entity-substitution-dataset-for-training-context-faithful-rag-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/faithfulness-qa-a-counterfactual-entity-substitution-dataset-for-training-context-faithful-rag-modelsMCP example
{
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"query_text": "Summarize Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models"
}
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}Evidence Receipt
Route status: buildingClaims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models
PDF: https://arxiv.org/pdf/2604.25313v1
Repository: https://github.com/qzhangFDU/faithfulness-qa-dataset
Source count: 4
Coverage: 67%
Last proof check: 2026-04-29T02:44:25.578Z
Signal Canvas receipt window
Ready for execution: Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models
/buildability/faithfulness-qa-a-counterfactual-entity-substitution-dataset-for-training-context-faithful-rag-models
Subject: Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
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Compute envelope
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Evidence ids
Receipt path
/buildability/faithfulness-qa-a-counterfactual-entity-substitution-dataset-for-training-context-faithful-rag-models
Paper ref
faithfulness-qa-a-counterfactual-entity-substitution-dataset-for-training-context-faithful-rag-models
arXiv id
2604.25313
Freshness
Generated at
2026-04-29T02:44:25.578Z
Evidence freshness
fresh
Last verification
2026-04-29T02:44:25.578Z
Sources
4
References
0
Coverage
67%
Hash state
Lineage hash
e5a05ce90301e627a633254877a3f26efb871557a1137136ebbed3aff474121a
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
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
Pending verification refs / 4 sources / Verification pending
references
proof_status
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models
Canonical Paper Receipt
Last verification: 2026-04-29T02:44:25.578ZFreshness: fresh
Proof: unverified
Repo: active
References: 0
Sources: 4
Coverage: 67%
- - references
- - proof_status
- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 8.0
GitHub Code Pulse
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No public claim map is available for this paper yet.
Startup potential card
Related Resources
- EHR-RAG(glossary)
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- Retrieval-Augmented Generation (RAG)(glossary)
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- How can startups leverage the findings from these studies?(question)
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