How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data
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Signal Canvas proof surface
Canonical route: /signal-canvas/how-can-we-synthesize-high-quality-pretraining-data-a-systematic-study-of-prompt-design-generator-model-and-source-data
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 7/10
- Last proof check
- 2026-04-16
- Score updated
- 2026-04-16
- Score fresh until
- 2026-05-16
- References
- 0
- Source count
- 5
- Coverage
- 67%
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Agent Handoff
How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data
Canonical ID how-can-we-synthesize-high-quality-pretraining-data-a-systematic-study-of-prompt-design-generator-model-and-source-data | Route /signal-canvas/how-can-we-synthesize-high-quality-pretraining-data-a-systematic-study-of-prompt-design-generator-model-and-source-data
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/how-can-we-synthesize-high-quality-pretraining-data-a-systematic-study-of-prompt-design-generator-model-and-source-dataMCP example
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Route status: buildingClaims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data
PDF: https://arxiv.org/pdf/2604.13977v1
Repository: https://github.com/huggingface/finephrase
Source count: 5
Coverage: 67%
Last proof check: 2026-04-16T18:19:05.728Z
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Ready for execution: How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data
/buildability/how-can-we-synthesize-high-quality-pretraining-data-a-systematic-study-of-prompt-design-generator-model-and-source-data
Subject: How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data
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Build Now
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Evidence ids
Receipt path
/buildability/how-can-we-synthesize-high-quality-pretraining-data-a-systematic-study-of-prompt-design-generator-model-and-source-data
Paper ref
how-can-we-synthesize-high-quality-pretraining-data-a-systematic-study-of-prompt-design-generator-model-and-source-data
arXiv id
2604.13977
Freshness
Generated at
2026-04-16T18:19:05.728Z
Evidence freshness
stale
Last verification
2026-04-16T18:19:05.728Z
Sources
5
References
0
Coverage
67%
Hash state
Lineage hash
b57bd3f96bbbb6f0e0650675e4d12becfea602cab6b50bebe45b92cdcaffd471
Canonical opportunity-kernel lineage hash.
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External signature
unsigned_external
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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 / 5 sources / Verification pending
references
proof_status
Paper Conversation
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How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data
Canonical Paper Receipt
Last verification: 2026-04-16T18:19:05.728ZFreshness: stale
Proof: unverified
Repo: active
References: 0
Sources: 5
Coverage: 67%
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