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Paper Citation Record · LEDGER

Real-Fake: Effective Training Data Synthesis Through Distribution Matching

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.10402.

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

pith.paper-citation-record.v1
2310.10402 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:17.250955Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T01:57:22.824501Z

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 9332886d-8106-439a-a566-fc2fb1c4b4a8 · inbound

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study cites this paper.

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study Real-Fake: Effective Training Data Synthesis Through Distribution Matching

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:57:22.826474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T01:56:41.152753Z digest=sha256:48a8c6499fa814f70538eba8ee4d9378c11d7da5133bcfaf4b7c7df8b2df7627

Observation 4eb4c725-2366-46bf-9641-5e02acca67ef · inbound

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation cites this paper.

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation Real-Fake: Effective Training Data Synthesis Through Distribution Matching

Reference 124

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:17.250955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:17.250955Z digest=sha256:bef65b3467056e29e4a9a065915cf2169d634972191119633bb763509ffafa76

Observation 738c7bb7-e772-4878-92cf-dc45196505f2 · inbound

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering cites this paper.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Real-Fake: Effective Training Data Synthesis Through Distribution Matching

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.936245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.936245Z digest=sha256:e67134d5d17336de42582d3ac2dc55488dc7ff31a844eb9e7202591681fb2b3d