Paper Citation Record · LEDGER

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy

As of 17 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2412.20641.

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

pith.paper-citation-record.v1
2412.20641 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:21:16.945429Z

measured 43 of 43 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 2026-08-15T15:57:47.641721Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T18:58:36.306547Z

Reference resolution

41 of 41 outbound references displayed

verified exact3
verified fuzzy2
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91f55470-5e5d-4832-973b-0690c9caf3dd · outbound

This paper cites online" 'onlinestring :=.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.751423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f02e070-d3d3-4e64-8869-bfe1c62bebbf · outbound

This paper cites write newline.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.757144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bde8875-10df-4d89-8069-05852bbbd503 · outbound

This paper cites Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.763449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708056e4-05dc-4db9-abce-7dcae633163e · outbound

This paper cites GPT-4 Technical Report.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy GPT-4 Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.768678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be98ddee-1a12-4919-a534-8bb539ecfc2b · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.778401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2b57f70-8e2f-40eb-8f06-6cb5e2e31d31 · outbound

This paper cites Language Models are Few-Shot Learners.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Language Models are Few-Shot Learners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.783392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be987c19-3355-44e3-8dad-c3caa4a6b40c · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.788469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd624604-e4c1-42b7-8a1f-945bf092cd26 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:17.876160Z

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.

Observation 44e2f7b2-e8b7-43ba-92dc-6cb4cb706cdc · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.797295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b02f968e-06e2-4556-b699-4255aa5374d3 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:17.860945Z

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.

Observation 7569f4c2-ea3a-4f41-86d0-84bd6f26ac04 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.806691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1a86184-d87e-49f3-9f5e-efc54fb1a731 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:17.837550Z

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.

Observation 60818deb-5caf-4437-b4c3-04c8deb3adec · outbound

This paper cites Hearst, S.T.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Hearst, S.T

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.815416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b736b096-995b-420f-a9db-5c426144d985 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.819719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85bc490a-fe03-409d-b7d9-25b9e6cb445a · outbound

This paper cites Wang, Chenhui Zhang, Zhangheng LI, Bo Li, and Zhangyang Wang.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Wang, Chenhui Zhang, Zhangheng LI, Bo Li, and Zhangyang Wang

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:17.823359Z

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.

Observation 9e2b0cd1-b6c4-488e-b962-d1459850b4c9 · outbound

This paper cites GPT-4o System Card.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy GPT-4o System Card

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.828517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea942239-e00c-4417-8c4e-7584ea0344aa · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:17.809122Z

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.

Observation 7200b8a5-e0de-440e-9c97-e95c92446aa3 · outbound

This paper cites Kibriya, Eibe Frank, Bernhard Pfahringer, and Geoffrey Holmes.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Kibriya, Eibe Frank, Bernhard Pfahringer, and Geoffrey Holmes

Reference 19

Resolution: verified exact; doi, observed 2026-08-10T23:21:17.043246Z

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.

Observation d91973a7-1771-4791-8da6-4e55501fdeac · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:17.793730Z

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.

Observation 4f2e7aa1-66fd-4518-b5d6-6f701a543498 · outbound

This paper cites Best Practices and Lessons Learned on Synthetic Data.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Best Practices and Lessons Learned on Synthetic Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.846409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4342fe27-2dc3-4f23-9a68-9386d370e683 · outbound

This paper cites Long et al.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Long et al

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:17.780237Z

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.

Observation 4c2a5f05-df83-4b3c-b8f0-2fad542917fc · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:17.766488Z

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.

Observation f0a120c7-329d-4ea6-8c7b-1c02adea1970 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 24

Resolution: verified exact; doi, observed 2026-08-10T23:21:17.027189Z

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.

Observation a75efcde-8f3f-414e-b371-9777327b3cd2 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.865330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dc7d6f4-01fb-458a-854c-efc3b8e2b32a · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.869774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f2e9850-e5b9-47f6-9263-ac0cc7ee280e · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 27

Resolution: verified exact; doi, observed 2026-08-10T23:21:16.993456Z

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.

Observation 25484a60-fff3-44ae-b228-4c1b29936a5f · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:17.753047Z

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.

Observation 25fc498d-a9db-4503-8e8c-aef3b00bb330 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.884005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa149878-429d-4bda-8ec1-c5d5dac4e159 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.888852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 349826ad-37b1-47cf-8f33-32c4d421d5ea · outbound

This paper cites Differentially Private Synthetic Data: Applied Evaluations and Enhancements.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Differentially Private Synthetic Data: Applied Evaluations and Enhancements

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.893163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30789346-d638-411e-9113-8f5f9ec6b7f1 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:17.739273Z

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.

Observation 3456ccff-f86e-424f-a697-f8aafa00ce63 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.902971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 386c7566-8cf3-4f92-990d-79bea46cdbf5 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:17.715646Z

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.

Observation 0225ad87-2932-4657-a7d7-137e4ae05ad4 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:17.701468Z

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.

Observation 43c895b6-5228-417a-ab88-2c66b02fc1cb · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.917083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c64a85ec-d3c3-406d-a17c-5b885787d7ab · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:17.687497Z

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.

Observation 78530889-d01a-4506-994d-d27b35595cac · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:17.673421Z

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.

Observation 647c488c-bac9-4555-bdd3-b6e59927fbfb · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.931958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce8cc2d9-3044-455a-88e4-eb7cf43b7a4a · outbound

This paper cites Zhang, G.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Zhang, G

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.936367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49ad522e-e79e-4e27-badf-414c341e8469 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:16.940984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ffadcb2-e2e5-450a-a527-6bdbb7b66eb9 · outbound

This paper cites an unresolved cited work.

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:17.642016Z

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.

Pith citing papers

Observation f0d1be89-eb33-45d9-ba1e-29573bc892ba · inbound

Towards Privacy-aware Mental Health AI Models: Advances, Challenges, and Opportunities cites this paper.

Towards Privacy-aware Mental Health AI Models: Advances, Challenges, and Opportunities SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy

Reference 107

Resolution: verified exact; local_arxiv, observed 2026-08-09T18:58:36.349050Z

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.

Observation e29af933-3f90-4b2f-a8d2-fa3399d19c5a · inbound

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation cites this paper.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T15:57:47.641721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.