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Paper Citation Record · LEDGER

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data

As of 13 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2604.13977.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.13977 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T16:18:47.814162Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T07:01:45.787747Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved18
  • parse uncertain1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a10b0e57-7add-492d-9c7e-cab17470ad36 · outbound

This paper cites an unresolved cited work.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Unresolved cited work

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 75217164-9a2f-46d8-aea9-8041f0de3439 · outbound

This paper cites an unresolved cited work.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Unresolved cited work

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ffa987c4-70cb-422b-8e45-04a705166d34 · outbound

This paper cites SmolLM2 Representative Output.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data SmolLM2 Representative Output

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4edaaaf3-ad91-44f1-ba25-031fa4c5e1dd · outbound

This paper cites Ultra-FineWeb: Efficient Data Filtering and Verification for High-Quality LLM Training Data.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Ultra-FineWeb: Efficient Data Filtering and Verification for High-Quality LLM Training Data

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b2cd4f3a-ea52-4276-94a8-8220be624408 · outbound

This paper cites This approach underperforms every rephrasing approach in our analysis.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data This approach underperforms every rephrasing approach in our analysis

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ee8fa31b-b5c9-4862-ae41-a4f3643842cf · outbound

This paper cites an unresolved cited work.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Unresolved cited work

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 825ab0a5-f276-4572-b21b-d0c4241c8230 · outbound

This paper cites an unresolved cited work.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Unresolved cited work

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1e691e5b-31b6-41aa-a9d9-cf3b28123e1e · outbound

This paper cites an unresolved cited work.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Unresolved cited work

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 3af6c6d8-2b8a-46dd-8c35-6b5986e18baf · outbound

This paper cites Do not use Markdown.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Do not use Markdown

Reference 12

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Unavailable: canonical work link unavailable.

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This paper cites Question:.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Question:

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2db2957b-a2d1-49b6-943c-5a93eed0f668 · outbound

This paper cites an unresolved cited work.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 42a5b6aa-b3ef-4f7f-b2a2-4fc4d6e2f19b · outbound

This paper cites Paul R. Williams: Classic Hollywood Style,.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Paul R. Williams: Classic Hollywood Style,

Reference 19

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Unavailable: canonical work link unavailable.

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Observation 3d4521dc-4c47-46ed-844b-311929de0df6 · outbound

This paper cites It provides real-time data in seconds and can be done painlessly on the patient.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data It provides real-time data in seconds and can be done painlessly on the patient

Reference 20

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Observation 3a2df2b5-5ebb-41d6-afd2-24f84eee4525 · outbound

This paper cites an unresolved cited work.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Unresolved cited work

Reference 21

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Unavailable: canonical work link unavailable.

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Observation 6a3a1074-0273-486f-8f83-72fca8ccd89f · outbound

This paper cites ,→ ,→ Answer: The NICOM, NICO2, and Respironic systems are noninvasive methods for monitoring cardiac output.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data ,→ ,→ Answer: The NICOM, NICO2, and Respironic systems are noninvasive methods for monitoring cardiac output

Reference 22

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Observation bd32e762-9a95-4e2c-a2e1-85ec6d697af2 · outbound

This paper cites Ilya Loshchilov and Frank Hutter.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Ilya Loshchilov and Frank Hutter

Reference 102

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Observation d292ff89-4ebd-43b7-b1c0-d23b4947df58 · outbound

This paper cites Gemma 3 Technical Report.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Gemma 3 Technical Report

Reference 262

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Observation 3ec9c932-3366-4b53-87a0-a1fe50ebc020 · outbound

This paper cites doi: 10.1145/3474381.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data doi: 10.1145/3474381

Reference 2021

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Observation 5e69ffb5-2572-48b0-b50c-70caa4764580 · outbound

This paper cites doi: https://doi.org/10.1016/j.neucom.2023.127063.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data doi: https://doi.org/10.1016/j.neucom.2023.127063

Reference 2024

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Observation 89532051-71a8-49a7-bf83-23646fa6665f · outbound

This paper cites NVIDIA Nemotron 3: Efficient and Open Intelligence.

How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data NVIDIA Nemotron 3: Efficient and Open Intelligence

Reference 2025

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Pith citing papers

Observation b6e24112-4dd5-4c61-bb1a-abd92d99e6d9 · inbound

DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data cites this paper.

DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data

Reference 25

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