Pith. sign in

Paper Citation Record · LEDGER

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data

As of 24 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2504.21634.

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

pith.paper-citation-record.v1
2504.21634 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:02:17.674345Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved65
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 646085e9-05a0-4dd9-8130-04c1ffa3f3de · outbound

This paper cites Really Useful Synthetic Data -- A Framework to Evaluate the Quality of Differentially Private Synthetic Data.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Really Useful Synthetic Data -- A Framework to Evaluate the Quality of Differentially Private Synthetic Data

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.437629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.437629Z digest=sha256:deeda23f3ec843c73dd664e72eb1301c3b37ff245528aa1700e2640a238929eb

Observation 2b0d095a-92f2-4ead-87a8-76c2dfa0e88e · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.350217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.442146Z digest=sha256:b4915b4733aeb36fc84b8457298dd136554081b7135bafe8e2e189878ed4f372

Observation 6640f947-af82-4cb9-adc0-49f7f1df0213 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.338738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.445532Z digest=sha256:17a5155d5844c720c608fd1b60e2b1ffe7b72283148a021395f002a5d417b55f

Observation c3d3f137-0dfe-434a-8cb8-e65012c5d449 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.449345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.449345Z digest=sha256:81691cb655b9ff417c152e3d3f8de7191e3bdf2004c0d67c72840fdb219f1e3f

Observation 3d04cd2e-486e-45c4-b20d-72708a43a116 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.318958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.453735Z digest=sha256:0cd86fe3ac206a61c9e0de6b25017f0f221014c7a6f116e6fd7a466995808a31

Observation 56969c8e-0114-4677-9712-5dc02212cc72 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.457839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.457839Z digest=sha256:5e2ff53d9507444994afbaa24013b9a82845429d08650f6f8c4759fa8067abc1

Observation 3b8d6dab-3c2f-453a-8d58-a8d79447b6cb · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.462267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.462267Z digest=sha256:7c687e8555ead466a25c838ecc0e8f832d8a65c34b1968e537e28f4beff5b7bd

Observation 33eea84b-2966-47ad-8c37-1ff636b55ca9 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.466281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.466281Z digest=sha256:018aa9d4ec64df638a70593bb21e2c2163d689cf0de29e752d85950b9fcf24bd

Observation b3c48511-9edf-49d3-b020-fa59df431720 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.469801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.469801Z digest=sha256:df5b782e164536ddf973aa7c6896fe43ef2375e803561f6cbc9bf7d356027a86

Observation 48b4683f-4163-4b29-a66a-9702bc11bafe · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.286764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.473677Z digest=sha256:4a96e0fa5f9a225e04ee1ebf7aa8c440070bc27c099651ce4580b37bf3248f64

Observation e4f18cf5-4089-44e3-90de-16916ace2e7c · outbound

This paper cites Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.477543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.477543Z digest=sha256:2bce7761d82476ce3090988d2f8055e5a32708463a92c9c9150bf5d987bdd839

Observation 4446e91b-4864-44ed-8679-c23478ff5d43 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.275279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.481925Z digest=sha256:2fe69281c02e360624a0ec8f058899aebc02849147fad5e0f1c5259eeb25605c

Observation bb0862d8-11ba-450a-bc91-d153ad58f7a3 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.264591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.485853Z digest=sha256:89670953f9d9197be0c772b56189c14a78856a7f666bdbca38a025c2845bb319

Observation b426ae2c-7310-41d6-aa0f-fc63d0d3a0cc · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.490147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.490147Z digest=sha256:ffc2a1461d91e86a52a166e19d51c43105c4bbd69c63a006bb1ec7194a149861

Observation f186832d-5f49-4b0d-9e6e-56e1ef6d6544 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.494022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.494022Z digest=sha256:5095d6318937d32b349e1d5348460b8d656f65152644c4339bb3ab04c665e3aa

Observation 314ed5eb-358b-45d7-8f43-6cb9eca1c476 · outbound

This paper cites SoK: Differential Privacies.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data SoK: Differential Privacies

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.498911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.498911Z digest=sha256:9cfccdc7a3e7345ec7ca51270853702971c9cafa57b0bf3a815a0677c797aeda

Observation 76d16f66-5a51-4f43-a1c5-8eb28cd10694 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.239001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.503508Z digest=sha256:08e60e459a0d8d41b90b2d8b42f95eb15613ec8477f7f585277b0f05ce0e4d17

Observation 7aa0ff71-97a4-4993-be18-f0f34fbeac89 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.227414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.507554Z digest=sha256:e01280d10cf5f2b5963127baf69d66dcfaf282c4e10d6955778606fcb0e7949b

Observation 7dca468e-54d9-4334-b089-a84004fe230b · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.511226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.511226Z digest=sha256:ff107218acfeec9f8cdd6845fa54fd15b47d2676161203204ab62b6df0500d2f

Observation acd80137-8ab6-4307-9957-7b492d0a24e7 · outbound

This paper cites Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.514910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.514910Z digest=sha256:b78a946271a743c7c2ef4ad478f8591f83055b31a280db4f5266ded113cb018c

Observation 81c1ebb6-fb2e-4ad3-b3e7-5e2292192aa8 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.208201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.519451Z digest=sha256:eb4611acc07e60d1787844a96b3b0d3b0360d905459d825e313a107ce449f88c

Observation c072ab52-2069-43c8-beb5-a21cfc813700 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.196730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.523951Z digest=sha256:689584070bb1d0b69f2a2b4651118943cc63239fe50776878d88dd46521dc063

Observation 924b38cf-13df-4bfb-8988-c550d2e50d1e · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.527660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.527660Z digest=sha256:6cc4e8c2d2a5e2935d63c0e75d81d94bc86d2a4b77cc005f85e5cdd37998ff29

Observation c7f0df55-2362-4a88-bb76-e4a66af55907 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.531350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.531350Z digest=sha256:0ce9cf55c93099c62dc96b94e60bb2dceafe8a313a047482dfc3f943c6cc6834

Observation 8db86902-0917-4cb5-9234-3b0003cb8c48 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.171844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.534869Z digest=sha256:6562e1e266d7d351731232e54f80ace8d927cabfbb6860759f5493e5ddcc012f

Observation bb33c9ac-9701-4231-8abf-3a5bd6eb152b · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.162571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.538498Z digest=sha256:5d7e7cd7216a4eb16af05ff7abce7d9da85d2fc4b1addc034a1f7c22ed0ba28e

Observation f1d1aa1e-dc51-4187-99b3-f8d331932ab8 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.542295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.542295Z digest=sha256:79e2095336dea3ea58b3544770a1a3339bed94b1f611eadc493e7adae441982d

Observation fbb174ce-5a21-411f-8546-eb83071f918f · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.153283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.545745Z digest=sha256:2150aebce30f1f22e181401542b6bc36635f5a2aa73f80fce52216eb62fb312b

Observation af528c72-c95a-4bab-8b46-a14f506fe01c · outbound

This paper cites Inherent Trade-Offs in the Fair Determination of Risk Scores.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Inherent Trade-Offs in the Fair Determination of Risk Scores

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.549247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.549247Z digest=sha256:5f3a9315a686ed94feec94c1669176c9e2168aa4763f6cb9f5f2ee3e8aaacabb

Observation bbdc8817-cc28-4fd3-901b-79a28fadfe63 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.143795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.553190Z digest=sha256:c748ed8b77fec2a8a57625f204f1ab4daf597ff09db4e92b88bdc326e975f2f4

Observation 2abc8cb4-f383-4b3b-8602-f42461f0268e · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.133423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.556540Z digest=sha256:c48088ddf1b5525276182ce4c85afec14a4b7b66655960ab4b349aaab9ecde29

Observation f01a8223-06d0-40db-8476-cee34f2ce561 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.122547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.559639Z digest=sha256:8bec71bd7404240dd72dbab6e7c46fb2cef880a425532f295d0778ec68adeac5

Observation 140ea3a6-a9e7-4747-b09e-b771bc917ebf · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.111773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.562245Z digest=sha256:2a3bc9defa6bb54ebdb1b679290f705cf01d75602f9c7e3714dc7548ea269ad8

Observation 92fa56aa-9211-4e3c-b3fc-8baf7735ec34 · outbound

This paper cites Machine Learning for Synthetic Data Generation: A Review.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Machine Learning for Synthetic Data Generation: A Review

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.565517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.565517Z digest=sha256:32e006721b08a00b24c7f6d6c67e817ed3cc45464b2bdcb1e834e1e6631b265c

Observation ee5e1076-445f-4a8a-b275-721dc43dc0ba · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.101081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.568757Z digest=sha256:3585dc02aaa64d531853d1da56a8266c22a0e223ec521df086f3b6a483231ff2

Observation aae71df7-534e-4c1e-9433-c824fec475eb · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.090229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.571746Z digest=sha256:13bb1f82bb438a4cd362cfd85f980e02c86645e600835c18b250d6fc49e56503

Observation 9189b28d-2896-4e0d-acd6-359f13fd8aaf · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.079805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.574517Z digest=sha256:2b2e18d3e6ef06fa1cee2b3719533d013a7e0c4d8e872e354a965f98cca77cf9

Observation 85770bff-cca5-470a-b307-f4e36eacce21 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.068976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.577732Z digest=sha256:9e831aadbbeff960d1bfaf8e41f97454eb94211022cd7ee0ade1922423d28971

Observation 5f6be024-a234-4eec-af2a-19c92f11616c · outbound

This paper cites Winning the NIST Contest: A scalable and general approach to differentially private synthetic data.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Winning the NIST Contest: A scalable and general approach to differentially private synthetic data

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.580592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.580592Z digest=sha256:864889adab95641af927500ad94732074a0830042de93a6b5ee416c43604350b

Observation ec794c5c-9bd4-4a69-a6ef-47d63530be46 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.058476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.583775Z digest=sha256:50613b63da0bdca148bb1562c735a4e833145484af25952a3c11785753382490

Observation 5d189df6-6cb7-499b-a053-e0f7f8c57a23 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.047744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.586666Z digest=sha256:503b9db5ef428db31df4aae5a0a3cca60f168b783ca3358ac0947de0856b5eb5

Observation d205a6d4-714f-4101-a855-6a525c6e36e6 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.036007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.589715Z digest=sha256:a0a4b62f73be3fef2fac7a389fc150a3d6828ee7b315ea052f9098d21d776a86

Observation e5aa31e9-f1d1-4156-8c36-7feeb1f5a56f · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.025674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.593046Z digest=sha256:fc42cf65c90cae072c9102e317bca7352e3425017c3ba2f3c1b1d13989b53744

Observation 06b17af8-5f41-4734-8dbc-49c043807395 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.014868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.597396Z digest=sha256:260c21de2116641cc15e3f3ff1b429dd592f3116f1b4e0dbc9327ff57f9a106b

Observation e36afb4e-ee92-4d6d-b276-bf6f82df10e4 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:18.003971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.601045Z digest=sha256:f688a2b39637f9642c4708f6677ec7eeb3b09e6d0d301f4e88fc220bccd796a9

Observation 915f972f-ecad-40b4-9f58-e7d95b1b91da · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:17.992860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.604947Z digest=sha256:9217ce97952c9d1830b8d70e27698c88ab57539a6e1c9f3c28c2e55601302e97

Observation 8846cf05-3e9a-4f4c-af11-8b0f57acb9e9 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.608367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.608367Z digest=sha256:b347c4dd73e39f192e01c11cbbc447e5d0d1b2f3ebd480b7d49f9b367b73a50c

Observation 9b19e75c-cecf-49bb-ac2a-1f62d39e4847 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:17.974936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.611740Z digest=sha256:1dbf7485a51ee8f9ae73ef7248ef87f8fcb3ef98b9b8b597816c876c64d70dfc

Observation 4a67584d-547b-4f81-a230-3d25615b3c65 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:17.964431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.615292Z digest=sha256:6b5d0572a22f4056715de1250e9ee15ead3ae0f1035dca086a916282937998e8

Observation 0f6769a3-51e1-438c-afb5-8a887b851965 · outbound

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

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Differentially Private Synthetic Data: Applied Evaluations and Enhancements

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.618702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.618702Z digest=sha256:525f45b4d9338b3a3efa54e8595df22f5678b5418d71be70dbd610c748057d2f

Observation 98189f9a-da4c-4d1a-91f2-b3acba3f557f · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:17.952772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.622808Z digest=sha256:66bd59a9b3d5f5a0836e9a593448dd065e0f5f3b372b68290e419f02e5ceefed

Observation a46454e3-0079-4034-a1e2-53a6b75f4f84 · outbound

This paper cites Aequitas: A Bias and Fairness Audit Toolkit.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Aequitas: A Bias and Fairness Audit Toolkit

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.626171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.626171Z digest=sha256:1cbdf8dd5f067489e47350d1704cc07d995dc3c60cbf5762abe711003b8b2921

Observation af7e61c2-c918-4d6d-9a54-0b57fe359eda · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:17.941253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.630176Z digest=sha256:3db479e16408b5e846a9d5ef55749d73369460e9634d9dd7eae5671367c1b350

Observation 9b7fc75b-79a4-4315-aaad-9b67a3accf32 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:17.930965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.634012Z digest=sha256:38981a2934bda2d94abde9ef84950c648f5282d8252647ca4c9d7699742a158e

Observation c8b83194-b64d-4b78-b0af-482c96372274 · outbound

This paper cites Benchmarking Differentially Private Synthetic Data Generation Algorithms.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Benchmarking Differentially Private Synthetic Data Generation Algorithms

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.638106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.638106Z digest=sha256:2ebf9f443359375f74d9cd1e1ade556db513f3a31a143fe5a43a37f5321fcb14

Observation 1996506b-84a0-4126-be24-c7e1e6e0dc48 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:17.920757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.641636Z digest=sha256:230cf226f76639d2c7b143e7c50ca126d2691b3340224472b2632f97b32d0877

Observation 8714854e-a85e-4304-b398-bfb61137dee5 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:17.909514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.644953Z digest=sha256:4f8464394308cbb4b33f7592e1cf4bb4cc694e1c70b89e4aa20e61c50911f424

Observation 976ecf12-4db6-4d25-877d-d5d183030ad3 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:17.898378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.648448Z digest=sha256:513998662a313cb02b4358dec26e37eadde5020d6297fa12c2cfc0b38db8d772

Observation 77f6885d-132f-4c6d-b471-6f7e77c0d155 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.651865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.651865Z digest=sha256:d2d5958f9e293f6500be38937d6bf9e713a04ab896484e2a82512c315f3bca7d

Observation 6e3d99ea-8706-463b-ae0e-0666efe47281 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:17.881070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.655409Z digest=sha256:9b39b4ca72093bf35d9aa5e8b9544b56e38be6781dc20c2d94143ed981ad5658

Observation 3cd69e42-b12d-4433-af95-5e22762b3e3b · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:17.870565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.659367Z digest=sha256:4916925a167500b8eb8d550f794633968eba11b2bde603f9abe19bc75b43e467

Observation 60c7d0eb-caeb-4441-83c9-d3264046eeff · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:17.663607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:17.663607Z digest=sha256:c4674da99a1b7f272bc4fefc6dba951d268904d09253c3e735ea81099b884303

Observation affcc64a-f0f4-4d39-9544-b11f7744fb34 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:17.853179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.667158Z digest=sha256:6052e5213ba14cd74abed0642414d9ac2b273ad9c0a10eedde0ae8ee77230ce8

Observation 27fd9445-8412-43cc-b2ce-846bdf99ecb3 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:17.842788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.670771Z digest=sha256:275dfc4535956122627630841c7dd7211bb3aed6969c1578167f46e6cc304a4f

Observation 97e8119c-10a9-43ca-9d8b-e277044c9e91 · outbound

This paper cites an unresolved cited work.

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:02:17.831377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T05:02:17.674345Z digest=sha256:47cfa05cbd52db28b6d57abd93e698c49ae42b43f17697f904e8ce26dd118479

Pith citing papers

No inbound Pith citation observations are available.