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Paper Citation Record · LEDGER

Comprehensive Exploration of Synthetic Data Generation: A Survey

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2401.02524.

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

pith.paper-citation-record.v1
2401.02524 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:14:51.660429Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 cb638a36-de58-4443-b8ae-e9f5f07fd327 · inbound

Scaling Synthetic Data Creation with 1,000,000,000 Personas cites this paper.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T00:03:55.647045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-16T00:03:55.599967Z digest=sha256:708dd17569a2ac3978eccd9c6f21e571470c5507e27ffe1a991d2685b9165345

Observation 23d40140-5620-4a1d-954c-5d4f7a48ea0b · inbound

PuckTrick: A Library for Making Synthetic Data More Realistic cites this paper.

PuckTrick: A Library for Making Synthetic Data More Realistic Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:32:59.976846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-19T07:32:09.985556Z digest=sha256:64168493ec663667a392a17325e4358922a5dcfb5797713572bf50b8be6d5550

Observation 7f733798-fe00-4e21-a5b7-3721af9eddb8 · inbound

Robust Spectral Watermark for Synthetic Tabular Data cites this paper.

Robust Spectral Watermark for Synthetic Tabular Data Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:59:04.170773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-17T04:55:11.101649Z digest=sha256:e294817d0ac3de4fe0eb240186130dd2cd8e5e88372d74f4f4630b0db0d5dffc

Observation 3b3b5f2d-0645-426d-a0e5-a5ac63baa3e4 · inbound

Quality Degradation Attack in Synthetic Data cites this paper.

Quality Degradation Attack in Synthetic Data Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:10:38.267956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-21T21:10:05.466845Z digest=sha256:0f2b89a42926c85d6e1be0b4939ec7a618cecfb86b0bef04e5f56951599decb2

Observation ef4f177e-a598-4e75-ac69-525b7f06cb9e · inbound

Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version) cites this paper.

Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version) Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T11:14:51.660429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:14:51.660429Z digest=sha256:7f7fd4f34dd774d4a0895b39d920dff5b7d1588b4dbda470c1cc2a0eef1f68d9

Observation e1a3aa5e-7e26-4f22-b027-850d2ad1e6f9 · inbound

Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition cites this paper.

Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:10:09.452522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-10T04:55:43.987116Z digest=sha256:28c90616a7044227ffb8aa8ba22f03ec03c8a14ffbb83bdff0ce7d0f165d76e6

Observation 4385d91b-ff1c-49e8-8b6a-3407e6b74bf6 · inbound

Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic Data cites this paper.

Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic Data Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:36:56.371329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T02:03:08.254750Z digest=sha256:8c076c18cfc7e7b665217e4d5313987177b9f74fbb7037b4d3b0555e643ce39c

Observation 879c102c-2f5b-4469-9401-dc9256484a9a · inbound

RaMark: Radioactive Watermarking for Generated Tabular Data cites this paper.

RaMark: Radioactive Watermarking for Generated Tabular Data Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-13T01:06:27.868238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T01:06:27.868238Z digest=sha256:b78f7b158ab0ac36fcb97f84c5a3b6cf5882abf1d59619586c7f13c8f4886f5f