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Paper Citation Record · LEDGER

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge

As of 19 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2505.07997.

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

pith.paper-citation-record.v1
2505.07997 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:12:07.713782Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

69 of 69 outbound references displayed

  • verified exact0
  • verified fuzzy26
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d328de3a-a919-40cb-8e16-ec48621674c2 · outbound

This paper cites https://github.com/Consensys/gnark.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge https://github.com/Consensys/gnark

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.936924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c318bf69-b6bd-4e9e-bd38-f1d5c73ca674 · outbound

This paper cites https://www.census.gov/library/ publications/2022/demo/p60-276.html, 2022.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge https://www.census.gov/library/ publications/2022/demo/p60-276.html, 2022

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6adb3700-ebc2-45f6-b671-12d6ec6f44fc · outbound

This paper cites Abbaszadeh, C.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Abbaszadeh, C

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.903973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.392033Z digest=sha256:692a21ad15eacb8b4d9714ea92ddf9eb0d6fd7f2bf8ed66971eda3c685ceb532

Observation 7c6d4d35-b966-45fd-8c8f-6f46666c69ff · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.889238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.397055Z digest=sha256:21a721d8991e9f65562341cf1a8505bfeaf2aba87344dc25843c0f5946217370

Observation ada469bd-83fe-4192-86bc-56347763b7a6 · outbound

This paper cites Angwin, J.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Angwin, J

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.402121Z digest=sha256:9bcfcd1a1ab9aa8fb5e0fc74d777831868593c8e751b7423ff3520ac418efc39

Observation 8e0e4658-3428-47fb-8b9d-fff856600acc · outbound

This paper cites Angwin, J.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Angwin, J

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.858808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5f12036d-f742-4b4d-8fcb-578a810bb73e · outbound

This paper cites arkworks zksnark ecosystem.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge arkworks zksnark ecosystem

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.842805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.412645Z digest=sha256:8002e2be62930d933401c1c1452a7b084f25ef3476a7985c4b3c40fdf5ee53af

Observation f7e6b707-0cbb-4436-9937-0da6bb24e9e8 · outbound

This paper cites Becker and R.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Becker and R

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:07.419381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:12:07.419381Z digest=sha256:02c4780036c6803eade1ca0630eca6b97f502c70ae9e465a8f3556113562996e

Observation ca0a7346-249e-443c-b727-35951fd628c8 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.827544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e8f9ae6f-0bde-4de6-b54e-8adafccf6dce · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.813106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5432948e-5551-408c-89e1-7030d4523919 · outbound

This paper cites Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Reference 11

Resolution
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no resolver link, observed 2026-08-15T22:12:07.433513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:12:07.433513Z digest=sha256:e77c26956d984e4b1f741306ed16c3b8d2508434f19162c09ab5750050174bfd

Observation 4c52c9ce-7252-4480-af2c-03417aed4be1 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.797441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a5ea2d66-6f0b-420b-ae9b-bae75f30cb79 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.782274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.442076Z digest=sha256:70515c1ecd4ebcc1af5e45041904540e7e194dbdcc7cb11283507521bc5bebcc

Observation 66065d19-5d5a-4cc6-8b3f-1362ce7a1bc2 · outbound

This paper cites A Zero Knowledge Sumcheck and its Applications.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge A Zero Knowledge Sumcheck and its Applications

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:07.445922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:12:07.445922Z digest=sha256:a286e0ddd9a32ed7d48ce1afb0ff417efb032a5f3149fd35a55e380805edbfc2

Observation fc4e1691-ddb9-4209-892b-e5ca5e1cf49f · outbound

This paper cites Chouldechova.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Chouldechova

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.766277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.450351Z digest=sha256:d1cb69be1eb831054edcf0af51ddc0885b2ad7e1c18ef4af97e2c7a8625dd0d4

Observation 4e3c455e-0006-4994-a5c6-b573ae978e45 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.750557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.454873Z digest=sha256:bee4eeea50ce00ad28c883b98856b79ae4d4928d79d5d1ba990c5efb62fab2c5

Observation 4945116b-b190-4f5a-8cc5-8dae241449ca · outbound

This paper cites Dwork, M.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Dwork, M

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.734633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.459903Z digest=sha256:2e086417e7be6529ff0a35a28c2dac67ff1f0312ffaa6c9abd9b8d46c7255933

Observation 59e6ea91-4c05-4bff-9669-802801815a30 · outbound

This paper cites Dwork, M.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Dwork, M

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.464917Z digest=sha256:6f55274ad4050eef6e5b6cbd89a3cb977a1710ceab72199bfb3ee81c00ed555b

Observation d8c44218-48d2-4d83-8740-151c9ad12a39 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.705358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8ad04a70-7840-4134-a7cd-4af3d4b4c783 · outbound

This paper cites Fiat and A.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Fiat and A

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.474281Z digest=sha256:108915f10366a38704708cb8fea6780d715d62fae4f0bb4d24600ef8f8f49c31

Observation 319bc795-123d-4eb1-be16-b7de3664ecfa · outbound

This paper cites Franzese, A.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Franzese, A

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:07.478803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b52854e7-c39b-4ec9-8c4f-4d03b8d3d0ac · outbound

This paper cites Fuster, P.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Fuster, P

Reference 22

Resolution
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raw_fallback, observed 2026-08-15T22:12:08.673135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.483899Z digest=sha256:2a319c36d76a59c367802164f666a0e4dc3c35b0994369293b993a3074ef49e4

Observation 06322333-1125-4c01-8fb8-6b5b3b11adc2 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 23

Resolution
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raw_fallback, observed 2026-08-15T22:12:08.657497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 81d088ce-1033-46c0-bb8c-7bef2fda2314 · outbound

This paper cites Goldwasser, Y.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Goldwasser, Y

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.641982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.494444Z digest=sha256:87ef0e77bd6288572cebf6d05f7b95bd47d0dfe518f6545b78f15de4d17f2c45

Observation 7b8f9c2b-aea1-4d3b-9d88-aed73ec560d5 · outbound

This paper cites Golovnev, J.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Golovnev, J

Reference 25

Resolution
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raw_fallback, observed 2026-08-15T22:12:08.626083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.499253Z digest=sha256:ec83d1e9425aa54a2c9f74ecdf70fa70a1ae99079ac4f6253602da60a49b6b1d

Observation 92010bb7-e387-47bf-a71d-972bb5cbcb6d · outbound

This paper cites Grgic-Hlaca, M.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Grgic-Hlaca, M

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.610617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9df2e12b-26cc-4069-bc57-2fe773c23c28 · outbound

This paper cites Hab ¨ock.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Hab ¨ock

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b8fa7541-c112-4eff-82e1-b7e89cc6641b · outbound

This paper cites Hardt, E.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Hardt, E

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 277ac12f-0df3-45d4-af0c-8240fae21780 · outbound

This paper cites Scaling up Trustless DNN Inference with Zero-Knowledge Proofs.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:07.519128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:12:07.519128Z digest=sha256:888a790aa0f028148732ba2ff429811bf4cd6a6f53f2767ab5a4e2282a6a59c4

Observation 011910b3-baac-4276-909a-7be403a9dd11 · outbound

This paper cites Fair Node Representation Learning via Adaptive Data Augmentation.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Fair Node Representation Learning via Adaptive Data Augmentation

Reference 30

Resolution
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no resolver link, observed 2026-08-15T22:12:07.524163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:12:07.524163Z digest=sha256:23f2e26355c83fba4ad7e500896e16e9b9920e8886da20b14767e7281397fd4c

Observation 2679618a-8a39-4707-8842-7fa9c1f6cacb · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.563894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 345ccf88-a2e8-4560-adff-22072d260ff1 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.547706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation abac368a-7af4-4acc-be4b-256e1356cd79 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 33

Resolution
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raw_fallback, observed 2026-08-15T22:12:08.532580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a1b354ae-ab2a-4ab7-8f90-71f9814137f4 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.517413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8e1cd6f1-56dd-4453-bd03-104fb34cf440 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.502332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.547948Z digest=sha256:111480209a35da1c3880d46d9caadbcc8036d4b17d1905f60b35e44bcecebe0b

Observation 82f42bb8-3642-4f97-a08d-2d6cf0918d57 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.486572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.553112Z digest=sha256:b6978c870858a715cc0ce123b3a42c904ceb8542c2e7d2dd550ebecabca9bb0c

Observation 348660bf-b0d8-4a55-b41d-63ed62794931 · outbound

This paper cites Mehrabi, F.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Mehrabi, F

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:07.558003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:12:07.558003Z digest=sha256:8b9227e22f64158d21215cecb0938296ad64e90f9973e954b9bdeb019dbfa4b4

Observation 938830d1-cde0-490d-a2f0-47343e0c963f · outbound

This paper cites Paszke, S.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Paszke, S

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:07.563016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:12:07.563016Z digest=sha256:4755fa2d6265217b2cf70cd254fbf6777e9ce2dff0efbe70183baee2c7342dd0

Observation 1d08f61a-f682-4714-bc9a-bc2f9921ce6e · outbound

This paper cites Pessach and E.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Pessach and E

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.450336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.568126Z digest=sha256:cf8e7ef811683d89cdbd9d981ad2c9fb7c748a168e11734cdb23daf495b6c486

Observation 7d309669-0ea5-4471-836f-09f7778efa7b · outbound

This paper cites Plonkish.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Plonkish

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.434414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.572886Z digest=sha256:de0b04833a485f950bfa637cb652971768f33eabd35902ece5dd3ed959233d17

Observation 354c4e86-f2f6-4e77-bb62-73165fd30a7a · outbound

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

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Aequitas: A Bias and Fairness Audit Toolkit

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:07.578070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:12:07.578070Z digest=sha256:21c6c38a4e4c0451849a3b6b88caf0c34cd2d41e2fe4466c62ed6e1678da0677

Observation 497adddc-d5a3-480e-ab18-e1b740dced45 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.419071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.583170Z digest=sha256:956d8f9d7e9d52c987bb000a2e94e98763897fa868b7465aaafe5d972eadb586

Observation 7d539581-805a-4640-8910-382d9108374b · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.403815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.588017Z digest=sha256:fdd91f835905a47f555971825b1262e9a325bb768338a606f02e7c27c7a8b523

Observation a366b8c0-cc15-4808-9172-539c40156f61 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.388416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.592942Z digest=sha256:d880071badf4ed051692f503ea04badb57208d5be8610a4d35b9512a547e83cb

Observation 364d4e09-390d-48d7-897b-00efcad9bfbc · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.373312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.597222Z digest=sha256:80a8c779c20c590f19cac9ddb4bf83980df4eaad8ed462ec119466990709dc29

Observation 7d056665-509f-4827-8f8d-c3b4da6ce78e · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.357870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.601472Z digest=sha256:8a77b4bed81364f34b319c12bf59099265ec5194f1beb03882923e8e7bf91f5d

Observation ada09bb7-7f50-410c-afbb-2276b160e093 · outbound

This paper cites zkLLM: Zero Knowledge Proofs for Large Language Models.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge zkLLM: Zero Knowledge Proofs for Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:07.605821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:12:07.605821Z digest=sha256:0439342232943efc5c60cb1a5456f9ab8672b9ad722d95fc9ce7ea6224ed02b6

Observation e559cf02-d3d1-4926-9ef9-9423675c602d · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.342327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.610431Z digest=sha256:fbeb2fc6e8e3d4098c39eeabee2c83f63e7d3ca49eeb7542ac593a115b21840b

Observation 42c15713-0354-4c63-b5d2-dc2b4f413015 · outbound

This paper cites Tramer, V.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Tramer, V

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.327170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.614620Z digest=sha256:461624153452be2ff1a02d74da14f8428d33f7216fbdf7f8b9029013c27c25ae

Observation 1129a510-84ef-4c0b-b266-2a3a6f31da8e · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.311330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.618645Z digest=sha256:c437fc764bbe98f3875b3b1aa2303a468dfdbba46ea05b2dc35da0b7eb20deb1

Observation e769267d-7b81-4d8d-9786-95d65e9e99bc · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.293266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.623070Z digest=sha256:928f7c2cb3bbd2c41051b35d8af022ae772860c095834880b9016bbe8b09bd52

Observation 189c4f5c-f568-42c8-ba45-49864317b641 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.276157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.627638Z digest=sha256:050b1ba9d75a981ddbdf780f2c043bdba3f62b3725adecd46428d4a74e7da5c5

Observation c8b2551b-636c-4d83-9191-b24efaceb249 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.261059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.632319Z digest=sha256:7d0b49aac19eecfd23c3fed3fa4d6f80f213ad0f0d84b5bf0d5d0da0cf55070c

Observation 72cae53a-332f-4308-b6db-46e18498fe66 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.244730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.637031Z digest=sha256:7efeaec2e042c92fd2bd56170186cae29de906c09ca3ffe08c00b88126ac2a87

Observation 00f81b3a-c779-4077-8eaf-ac2ba8f30241 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.228170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.641851Z digest=sha256:2726796f5b14abd198b29c71cbbeae3e78e6c3f4a2b9b173c65e221901281f8c

Observation 8fdb6243-5f00-44e3-ae3e-9648379b2b23 · outbound

This paper cites FairProof : Confidential and Certifiable Fairness for Neural Networks.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge FairProof : Confidential and Certifiable Fairness for Neural Networks

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:07.646448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:12:07.646448Z digest=sha256:e0f49a603038ce773dc2f21b2dc07a8330b179d24aae8c9b44347c10cc13ec4f

Observation f1b4976c-888d-44d4-867e-b890ca525c23 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.212133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.651506Z digest=sha256:0be7b335f38a580a21b5460c76cc409be2a1bf4b2edef9055fb51c06754f63b1

Observation d8052e35-ee69-4d73-9764-3b6dd9caa9b1 · outbound

This paper cites Zhang, Z.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Zhang, Z

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:07.656322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:12:07.656322Z digest=sha256:40b211467964f2e37da2bdaadbf94e41c2f81198ed2e215280a7acb3165f6068

Observation 19a7dbf5-fdcc-49cc-ba2d-07763d3214d1 · outbound

This paper cites Zhang, T.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Zhang, T

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.183766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.661819Z digest=sha256:f0f4eada13df76620574247f26dceea325267e3e48384af31aa1adaee407c198

Observation e729d7c4-ea96-438d-ad60-417a57135c00 · outbound

This paper cites Zhang, W.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Zhang, W

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.168364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.666657Z digest=sha256:31095611348c0e23345fc5c0f5176105130a8633a22533cd105c8b39f5dffdb6

Observation d7baa61b-cfc1-474d-82c9-eafb8bcae01d · outbound

This paper cites Zhang, T.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Zhang, T

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.152156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.671269Z digest=sha256:a43dcdd55bc3a799633c4023bcb66199a6abacebdaf4d1382d48e3b45fe7d419

Observation 31225089-b056-4f3c-8615-826ff2908075 · outbound

This paper cites Zhang, J.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Zhang, J

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.135905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.675808Z digest=sha256:6f1b7616b3262854547f9ac59fda8d8345c738adcdd3c619e2406beae55fc803

Observation 0e2f8f48-d0fb-46a0-ac41-faef9f65a1cb · outbound

This paper cites Zhang, D.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Zhang, D

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.119572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.680687Z digest=sha256:1ed361fff0a8c3503a968fcce1e31d3d9c734005beca06eb06ad90d9d7e375f0

Observation 2d7d4b2f-cc18-4845-bdcc-b203842b37f8 · outbound

This paper cites Zheng, Z.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Zheng, Z

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.103150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.686385Z digest=sha256:219380c18a7702d5c4872683b9e21fdcc0095adb4797b362df0ed0a7ab8fe10c

Observation 70ab0e3b-00c4-4331-a205-3ae2b49e7103 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.084329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.692502Z digest=sha256:701aa7d402d012a0c4b426a328c62d4f51f2156e2a2fba7d0ece64681962bdf6

Observation 54390647-342a-4f85-9b2d-5ca6979f567c · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.068075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.697619Z digest=sha256:a882273b04eeaebd0ab4b55a36c8010d1ddc5205788d29dd530985aa2b61a1ff

Observation d1b85daf-5a54-4f39-be2b-de300739c31a · outbound

This paper cites Finally, the prover opens these polynomial commitments at the random points checked in the last step of the sumcheck protocols.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Finally, the prover opens these polynomial commitments at the random points checked in the last step of the sumcheck protocols

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:08.051843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.702795Z digest=sha256:fbbf3a0377292e031a9aa2c26e8a9fb8b6b67e69368e6f5e173ec4a6032d69f9

Observation ccefe94e-db76-47b4-9fc3-6569863e88cf · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.035748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.708639Z digest=sha256:4c8811c9e41bdc9c7cbe812f6cf426fa171496177d5a4fba1706be4800e953b4

Observation c4abb808-f901-4c62-89b8-5073020b0313 · outbound

This paper cites an unresolved cited work.

FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:12:08.019481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:12:07.713782Z digest=sha256:614013516640d2ec3de55e38e23baf3fac65dd6e978df4490db9e52d9f8b5169

Pith citing papers

No inbound Pith citation observations are available.