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Paper Citation Record · LEDGER

Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.19290.

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

pith.paper-citation-record.v1
2410.19290 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:03:39.014964Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:25:34.960459Z

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 080387ab-ccae-423b-adc7-7451384d0e5d · inbound

Data Swarms: Optimizable Generation of Synthetic Evaluation Data cites this paper.

Data Swarms: Optimizable Generation of Synthetic Evaluation Data Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:39.014964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:39.014964Z digest=sha256:d41888250ec3473fbf5adab6612839ddbaf7add3a17a68b278167ce36109fe7e

Observation 134bec18-2fd8-4ddf-aea8-f72bf81e1d56 · inbound

Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation cites this paper.

Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:25:34.962652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-18T01:23:01.921132Z digest=sha256:c8dd7ee67053b7ecdf33bcafeb8cb4eba63a3f9700031e71c5df30f01a751b84