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Paper Citation Record · LEDGER

Transitioning from Real to Synthetic data: Quantifying the bias in model

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2105.04144.

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

pith.paper-citation-record.v1
2105.04144 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:41:22.565297Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:18:06.440269Z

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 3f0d868b-fed6-4de4-8d11-7cbcf0695db5 · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation Transitioning from Real to Synthetic data: Quantifying the bias in model

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:18:06.442026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:7048768229ddac8da8d7dca07751cb84f3904e57e4c551a0a0c58cf8fa290f07

Observation 348270d7-7700-4714-a9b1-f22a416c1331 · inbound

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation cites this paper.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Transitioning from Real to Synthetic data: Quantifying the bias in model

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-16T10:41:22.565297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:41:22.565297Z digest=sha256:4c8718ebea24a82e759719fcb64cf63c126a82bb88b9a303e80a3610375c3446