Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.12397.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:18.888836Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T07:32:59.970166Z
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 770527de-c0eb-433c-b12f-25502fc8fe94 · inbound
PuckTrick: A Library for Making Synthetic Data More Realistic cites this paper.
PuckTrick: A Library for Making Synthetic Data More Realistic Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T07:32:59.971471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5567f7ba-0961-48e8-9080-1a02a7cf09ed · inbound
What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning cites this paper.
What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:12:18.888836Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac0ac4bd-f31d-4580-9285-1517dea39f23 · inbound
Unlocking Speech Instruction Data Potential with Query Rewriting cites this paper.
Unlocking Speech Instruction Data Potential with Query Rewriting Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:21:31.668305Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd8b90c1-9805-43a8-a378-37f80ad64481 · inbound
Limited Reference, Reliable Generation: A Two-Component Framework for Tabular Data Generation in Low-Data Regimes cites this paper.
Limited Reference, Reliable Generation: A Two-Component Framework for Tabular Data Generation in Low-Data Regimes Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:28:36.782722Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 834f19cd-687b-4adf-b18b-d6449c077856 · inbound
Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition cites this paper.
Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:10:09.449769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.