Paper Citation Record · LEDGER

Better Synthetic Data by Retrieving and Transforming Existing Datasets

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.14361.

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

pith.paper-citation-record.v1
2404.14361 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:57:01.655643Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T06:58:36.840228Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bd905aa4-6c1e-4809-9448-2f63b38fdca2 · inbound

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing cites this paper.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Better Synthetic Data by Retrieving and Transforming Existing Datasets

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:58:36.842302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 034d0254-0f7a-42c8-b96b-b600df627392 · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models Better Synthetic Data by Retrieving and Transforming Existing Datasets

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T22:57:01.655643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2946a276-8853-494a-8695-9575dddbf7de · inbound

AIDE: Attribute-Guided MultI-Hop Data Expansion for Data Scarcity in Task-Specific Fine-tuning cites this paper.

AIDE: Attribute-Guided MultI-Hop Data Expansion for Data Scarcity in Task-Specific Fine-tuning Better Synthetic Data by Retrieving and Transforming Existing Datasets

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T20:03:20.593672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2e0b2d0-3ef1-4a7a-924c-c6a55250f753 · inbound

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark cites this paper.

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark Better Synthetic Data by Retrieving and Transforming Existing Datasets

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T19:24:02.946668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c99e0fc0-b269-4dfb-8fdc-3ad90aaca096 · inbound

LLMs can be easily Confused by Instructional Distractions cites this paper.

LLMs can be easily Confused by Instructional Distractions Better Synthetic Data by Retrieving and Transforming Existing Datasets

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T10:50:12.296887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e458e21-9821-4ed6-abe6-1515b6d431c2 · inbound

InSTA: Towards Internet-Scale Training For Agents cites this paper.

InSTA: Towards Internet-Scale Training For Agents Better Synthetic Data by Retrieving and Transforming Existing Datasets

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T14:24:50.325236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e4fe962-a867-4fd7-9763-1d6156775076 · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study Better Synthetic Data by Retrieving and Transforming Existing Datasets

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:28.562417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.