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Paper Citation Record · LEDGER

Comprehensive Exploration of Synthetic Data Generation: A Survey

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 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 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:58:47.585475Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

17
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T00:03:55.599967Z digest=sha256:0787f85dd4ee054af1f9bd5caaa84d03640bea85592b9a2aac86306bafe7ce21

Observation a38cdf63-c465-4abf-baf2-d33fae786eaf · inbound

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention cites this paper.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T19:58:47.585475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.585475Z digest=sha256:3c16d359c91d9a21c26a7378176a21406a70e41124eaad5d9ab28c01afeea5f9

Observation d7573772-d240-4dd3-9b60-37f8fc5bab1c · inbound

Adaptable Embeddings Network (AEN) cites this paper.

Adaptable Embeddings Network (AEN) Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.177834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.177834Z digest=sha256:a2763dba756e62d1b897c64bd4e60123fbc29f87130dffe755dec204d42e5c5f

Observation 0b5c7929-0bae-4512-a413-a98f048578c0 · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T22:57:01.530403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:57:01.530403Z digest=sha256:63cc24455bf3a6e0919526dfb109ad4219e94c08ee0336a047bb0458e865a176

Observation 166d6cb1-b0e8-485f-84b6-f4ccaea09be0 · inbound

Grade Inflation in Generative Models cites this paper.

Grade Inflation in Generative Models Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:33.214721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:33.214721Z digest=sha256:a9e799b8515f800e9597347a227fca9bc0219a0173cc575f3c8320622d9abaa4

Observation 7aa91d32-9433-476c-bc28-7f5c96401e02 · inbound

Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data cites this paper.

Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T18:44:32.725392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:44:32.725392Z digest=sha256:cdcbb524268e2653940d28cf37684aa80e294a19a60843ab676f139482fdd7ca

Observation 4a1aa84a-f744-4de4-b67d-1518168e0244 · inbound

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications cites this paper.

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T17:43:55.404489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:43:55.404489Z digest=sha256:ed8b1ffa81b2c1ad0aedcc6dcc4efc80e9937d781e2d8f424816dfefd4110041

Observation 52a9be16-ce12-44b2-adee-e2b3b92fdbcd · inbound

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training cites this paper.

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T15:36:06.328740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:06.328740Z digest=sha256:d4ca7d4432b75d7e19dc78c888e37496c9be77ac07ea7164f7acc7177b52b8a2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T07:32:09.985556Z digest=sha256:2f2668053c2a5880358a28868806d7e0c932304670a159667af841e5351f13ff

Observation 2779ed39-6f83-4b3a-9777-762e05bc2e53 · inbound

Enterprise Large Language Model Evaluation Benchmark cites this paper.

Enterprise Large Language Model Evaluation Benchmark Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T22:56:32.901945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:56:32.901945Z digest=sha256:373e67690f63b5d54ca305c1c7d2f8e7cdee32e337f5f910c82e243d2d1c8326

Observation 327e1eb3-f27a-447c-a6e6-f42197b5d960 · inbound

RulerNet: Learning Perspective-Invariant Ruler Representations for Robust Image Scale Estimation cites this paper.

RulerNet: Learning Perspective-Invariant Ruler Representations for Robust Image Scale Estimation Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T18:53:47.488170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:53:47.488170Z digest=sha256:60d0ac0074d306dc57a725afe04a0268e64713f8ed82e117cc3377b06be0c329

Observation fafd90d6-81ec-4fb1-81e6-cd4432e2deff · inbound

Synthetic Tabular Data Generation: A Comparative Survey for Modern Techniques cites this paper.

Synthetic Tabular Data Generation: A Comparative Survey for Modern Techniques Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T17:12:55.538925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:12:55.538925Z digest=sha256:094b289d431964108da4dae2471c48ebce838e09c2ec869bb784103d02a52931

Observation a9cb7832-0809-4b8f-a89b-47c88582f113 · inbound

RT-VLM: Re-Thinking Vision Language Model with 4-Clues for Real-World Object Recognition Robustness cites this paper.

RT-VLM: Re-Thinking Vision Language Model with 4-Clues for Real-World Object Recognition Robustness Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T12:57:49.932433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:57:49.932433Z digest=sha256:244de2ab047c9de447acab1147428741d6e8ffc10056b97f877f000dca2b7504

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T04:55:11.101649Z digest=sha256:553ee0421b882e878d13bb8a34f8fd6ba241c0895d33dfc1080b7895044b00c3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T21:10:05.466845Z digest=sha256:11adbe67b14dead47689ff2c21c3b71412a2fa1d892a554cace33b50b9ef3cf7

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:bfa04896f587793a740a3d8c7287524bd410700eaed774a7cfaaf63086b96e73

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T04:55:43.987116Z digest=sha256:0aa5a58f15251a01d17295af57b726bc2cb2c4c5be3a10a256af2811e6b9228d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T02:03:08.254750Z digest=sha256:1c4b64944782501c46027ca7a5479dae3cb67ff425c387f16139e4b279b5b307

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=sha256:3a664e1828ce27bc217412f8258ec3562fa9e2706f332a378af8ed871e40bc45