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Paper Citation Record · LEDGER

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains

As of 8 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 0 inbound Pith citation observations for arXiv:2509.00658.

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

pith.paper-citation-record.v1
2509.00658 v1

Coverage vector

measured 100 of 107 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:25:37.028623Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

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Source: cited_works

Reference resolution

100 of 107 outbound references displayed

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External citation measurements

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Outbound references

Observation fd3542af-478a-4f84-9dfe-7b40e0159f45 · outbound

This paper cites In UCI Irvine Machine Learning Repository.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains In UCI Irvine Machine Learning Repository

Reference 1

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Observation 4c3714a8-a051-4c7c-b304-c00eba2a6d53 · outbound

This paper cites In UCI Irvine Machine Learning Repository.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains In UCI Irvine Machine Learning Repository

Reference 2

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Observation 296c02fa-45cd-4a48-bb08-214f2d760740 · outbound

This paper cites In Kaggle.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains In Kaggle

Reference 3

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Observation 84eda3c6-1914-4be4-9391-089cbfe64411 · outbound

This paper cites In UCI Irvine Machine Learning Repository.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains In UCI Irvine Machine Learning Repository

Reference 4

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Observation 0206cc2c-0a67-4c32-8ce3-7ad08e1022b7 · outbound

This paper cites https://metmuseum.github.io/.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains https://metmuseum.github.io/

Reference 5

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Observation 78b28b3f-d43a-4951-92ad-89efb5e5aafb · outbound

This paper cites Agarwal, A.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Agarwal, A

Reference 6

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Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 7

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Observation 5d00fe6f-68b6-4cd5-ac53-58ac2a3343d6 · outbound

This paper cites Invariant Risk Minimization.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Invariant Risk Minimization

Reference 8

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Observation ede9c861-b087-4eef-b38a-6079eaf3c475 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 9

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Observation bb4a32ba-d544-45d9-92a3-85d189254382 · outbound

This paper cites Fair Normalizing Flows.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Fair Normalizing Flows

Reference 10

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Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 11

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Observation d745e7c3-f0e9-42f6-b995-d15144491093 · outbound

This paper cites Buolamwini and T.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Buolamwini and T

Reference 12

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Observation 78904813-ad53-41c2-b04d-68b7ec6ad19f · outbound

This paper cites Chen, C.-S.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Chen, C.-S

Reference 13

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Observation 79dd5234-19cb-4e7e-b9cd-97ece68ebf4e · outbound

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Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

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Observation e20b760f-1efc-4a10-a574-dc601b870e75 · outbound

This paper cites Creager, J.-H.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Creager, J.-H

Reference 15

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Observation 7fda6347-bd90-4ed7-babe-e5dfbad0e025 · outbound

This paper cites Davis and M.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Davis and M

Reference 16

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Observation 906cb11a-ffff-42db-9aa5-dfe1c002a011 · outbound

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Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 17

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Observation a3bc0934-006e-4ffe-a820-af642ebbd180 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

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Observation ad586d87-bddc-453b-81fe-6f054ab4a6aa · outbound

This paper cites Dwork, M.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Dwork, M

Reference 19

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Observation 8885e4e2-8a34-4ea7-999f-be525da340c3 · outbound

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Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

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Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

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Observation 3b861903-71ef-47dc-87fd-46c3cfc48fbd · outbound

This paper cites Escalera, M.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Escalera, M

Reference 22

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Observation 211c4924-798c-44fa-80a3-1219e381b29b · outbound

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Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Everingham, L

Reference 23

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Observation 00a9129c-418d-4396-a934-39f603d6f04c · outbound

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Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

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Observation 4ae3396d-2b0f-4c9b-8b37-f72715c1d7b6 · outbound

This paper cites Fei-Fei, R.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Fei-Fei, R

Reference 25

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Observation 461df12e-18d8-40a7-8c8f-bc14d8df1aaa · outbound

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Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Giguere, B

Reference 26

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This paper cites Griffin, A.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Griffin, A

Reference 27

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Observation 948a7c2b-fdb8-4eea-9bcc-afbed5de952d · outbound

This paper cites In Search of Lost Domain Generalization.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains In Search of Lost Domain Generalization

Reference 28

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Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 29

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Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Hardt, E

Reference 30

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Observation dd24e273-24f9-453a-b7ed-9ea6a751ce72 · outbound

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Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 31

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Observation bb88b00d-4e82-40bf-9e31-78cdf29b6af9 · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 32

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Observation a079774f-a512-424d-b0cc-60c828fa946c · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 33

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Observation bf02803b-384f-43d4-85e4-5658fedced50 · outbound

This paper cites Jiang, Z.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Jiang, Z

Reference 34

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Observation dfbde4d1-27ff-48ac-b284-3f32f844c8ed · outbound

This paper cites Jiang, Z.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Jiang, Z

Reference 35

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Observation c081463b-9d84-4d0c-b91e-d2356fe13983 · outbound

This paper cites Jocher, A.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Jocher, A

Reference 36

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Observation 11fb7de5-f978-4940-9de3-2a11cbda96e7 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 37

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Observation 06191688-3a53-431a-b738-d31e62674d7d · outbound

This paper cites Karkkainen and J.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Karkkainen and J

Reference 38

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8be60eef-60ac-4e13-9892-5514c360a463 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 39

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no resolver link, observed 2026-08-05T13:25:34.993960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:34.993960Z digest=sha256:71f2355c73c55ac0323d3400ee6ecdf615d4584e2ae531548bbe3ba233819f6e

Observation c7283add-a30b-4bf4-bb65-a42f55a1a0ff · outbound

This paper cites Karras, M.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Karras, M

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:39.681539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:35.033166Z digest=sha256:0b12b7b5179c03f4879efae43c069555a205f5a323ac2b9654136cea37c010c4

Observation 2a710e72-8c3a-438c-8d15-9ac498a36cb5 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:39.655872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:35.103317Z digest=sha256:b7e74d384578333dd4f0aab78c59bb3bf4ad5e6a8fd07e6cfde9fbf0b04f92d4

Observation eb136bb6-ea2f-4977-99ee-2e1369a84345 · outbound

This paper cites Kumar, A.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Kumar, A

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:39.611364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:35.185057Z digest=sha256:cb20f1767f7dc2f4ee3c7abbc4e04cfd20f38a004cb9c689dfec79d2e6b5590c

Observation 4410567e-01b8-43f9-bd91-dd3fad36d414 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:39.579458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:35.228267Z digest=sha256:973814488c537e9a8a6125705d81f378a6f93438ffff13705adffba43a1b4692

Observation b5a7ce4e-349e-422d-8ee8-4b9bffad8e69 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:39.551526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:35.300197Z digest=sha256:e7069a1cad5115fcfe3ff94c3ea1e8ebc406239cae3272a8f55b5fc1d7b720eb

Observation fe74052e-afaf-4e6d-bf86-d12112938c24 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:39.525821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:35.389472Z digest=sha256:e74870c14b08e57cff547c9dffd0f79df14cd6cae0edee7b61c6fcee0bab6fbd

Observation 1a1eaee5-cbb0-491a-9e49-546c5f6cc85d · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:39.477662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:35.458864Z digest=sha256:f2a0d7e8ada61985ae48e89bad20d653d0511dd960aa12c4048245fca2f0839d

Observation b12192a9-d719-4469-8dba-e4dfd972ae2a · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:39.427978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:35.512794Z digest=sha256:d5a16751d8bff210436b73b0623cb9760356f91d57d5d4568a138e01ab4e4fc7

Observation c49219e7-5b81-4e60-9190-67ba6fe24f7c · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:39.397406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:35.597330Z digest=sha256:87f3d8e929e2289fe19248ec2da28758457b1a301b7041515631ccd05075d0de

Observation 136d856a-ba77-4cd7-878d-1e576380a17b · outbound

This paper cites Manning and H.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Manning and H

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:39.351981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:35.715934Z digest=sha256:8cef1bd5a5868278e097033b41851b2611c26039a23d51e4e7001d27f4230e32

Observation b717175d-f91c-4644-b50b-356214124569 · outbound

This paper cites Diversity in Faces.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Diversity in Faces

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T13:25:35.914319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:35.914319Z digest=sha256:1168e5bf14f132a94a96e907732c4dbb9b3bfd3fb190827c1b0eb0bac8904249

Observation 11bc6fbe-df47-43aa-9946-ad2413761696 · outbound

This paper cites Mishra, S.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Mishra, S

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:39.313145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.084193Z digest=sha256:f0bfaa545813303af9fd6e6a5fb9281becb1b8a42a3f8a0e0e527e876c4456b7

Observation fbc1d1db-373f-4b5e-b68c-928607add8d5 · outbound

This paper cites Mukhoti, A.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Mukhoti, A

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:39.252354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.248286Z digest=sha256:55d34bf3a31a2f415f7b0639e0ba58a10fbfdfd0d9492022b89dacf5af67b7f1

Observation e0aeab0d-7379-43e8-b78c-af0b6b5e3f48 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:39.213057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.347586Z digest=sha256:88acbdd3d4f6cf4104977d8e45b019dbfcfa73430a427e4db242da304ee436bc

Observation 2a86f546-7ff6-45a0-816d-9df4adece064 · outbound

This paper cites Noguchi and S.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Noguchi and S

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:39.186493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.377884Z digest=sha256:22fdb80640a08b531d2bf77140770fb367bd59ec00fb6108873990cd784dffcf

Observation 1ed988f8-5dbe-4da7-b9e2-105e4dcdb998 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:39.143692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.425357Z digest=sha256:40b3e597c7f2b4e5ecce487554949a30879de1c5a3452d9ce12cafbf6e7212ab

Observation 07bb8daa-18d1-4a89-9ce8-1ecb91a70966 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:39.100252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.515483Z digest=sha256:a182d995eefcd1e9c3d53d6c4a2c91082525d76a15f8b6d7249a7891e25a7e0c

Observation e6c76f98-007a-49fb-90ce-c8f735a63560 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:39.063446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.617238Z digest=sha256:92a966e356db93a6d5c2c5a863358309b54381df5f613ce84a0b633337f0e1fa

Observation 41559ae7-9b7f-493e-b001-150d7fcb9f6e · outbound

This paper cites Ricanek and T.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Ricanek and T

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:39.017784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.657220Z digest=sha256:721858eeee2552d21d561732752d6165df97b91b9bd4fdde82646c84f504b211

Observation 390d229c-c904-4ed7-a6c1-30322fc35dba · outbound

This paper cites Robey, G.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Robey, G

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.973406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.666976Z digest=sha256:75d046e0b5ef8d51eddb33a28fb19de9d8d650cc0b0859c2b6c3d769f772f129

Observation f89dad06-ee30-479c-b195-dd6c2f3111a6 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:38.930663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.677962Z digest=sha256:014c2fc43bf1e6918fdd39902c39ac028ac93bd52be8b931d3317f8bae9bf34f

Observation bbde5ee4-4406-4605-95ad-36873e15220a · outbound

This paper cites Rothe, R.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Rothe, R

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.862676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.685946Z digest=sha256:f60fd5483348a0cf66a0fef91425e303122bf14eaeedec27c9bfb5579bca4106

Observation 8b4760d7-dac4-4481-8a12-e5c5a2056eaf · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:38.824078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.695938Z digest=sha256:d2c10089269c81f9f4f046435ac2b224ccc156a1ea28666bee4d9c7be0028247

Observation 636256b4-495c-4b86-87c2-1e7dc6521544 · outbound

This paper cites Saenko, B.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Saenko, B

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.805437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.704749Z digest=sha256:cbf284adfa859b9d4993f27aa5e4dd5a2c956e2c754004b708c9a5daceb9bc74

Observation dd46f855-f227-43ee-a33f-962dca90fd94 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-05T13:25:36.724161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:36.724161Z digest=sha256:335ac18a415eff2498081e5fb28a6c8bce5d3cc32e867578b6d545b56417ca37

Observation bd4f3d23-92e0-400e-b742-cc1c41fde29a · outbound

This paper cites Sangkloy, N.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Sangkloy, N

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.770435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.732356Z digest=sha256:7b6a7dada54ba7e9190d6e8cf910880632d3b4d197314777dedacc05aeb3d8db

Observation 14ac6f7d-c1cd-4148-bd0f-87889c2be0b7 · outbound

This paper cites Supervised Algorithmic Fairness in Distribution Shifts: A Survey.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Supervised Algorithmic Fairness in Distribution Shifts: A Survey

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-05T13:25:36.739866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:36.739866Z digest=sha256:91c79371c9cd68b4ed0aff77e4040eccdc3b72678a1540b8fa6814f585e29c10

Observation a1e83a6e-861f-4fa0-a0d4-af146df502dc · outbound

This paper cites Shimodaira.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Shimodaira

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.733165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.745836Z digest=sha256:76c9e0944c6527b866a2f600597f455a25f3962c8615197f3717c7966dec7de2

Observation 26c77a83-f79f-4d2a-9a8f-9ad0d2706dcd · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:38.700427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.753429Z digest=sha256:88d8b126ed173cd8596687f8fa6ce366e62f75524a07291aee350c372afa20ad

Observation 1577c183-374b-49ca-822f-5d27e362e786 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:38.679704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.763402Z digest=sha256:5d93bf926811fdeb10902f50005aba1bd7a891f3ed999a2401e5ba35883bb89a

Observation 7fc43524-1537-4cd0-88e0-d6331995a74a · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:38.649153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.771429Z digest=sha256:738f85fbd4469981dbf87faa403f6920fc55acb227832e0cfb59be3032f5a3d5

Observation 7c4a00f5-ab30-4363-be93-653e923439c4 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:38.617108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.784793Z digest=sha256:dbfb7799123f6bb4f24dacc2955fee79d5cd89541decef3dcbaa100976153ecd

Observation 0ddb1bd3-e44c-4474-822c-3ad6cb515a12 · outbound

This paper cites Thomee, D.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Thomee, D

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.592156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.793287Z digest=sha256:4b11efd8ed771d15141f5630150ef9b1510362ae10cbfccd80c51f4f28e68428

Observation ba69d23a-e966-4f93-8794-4ed5d0242e3d · outbound

This paper cites Torralba and A.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Torralba and A

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-05T13:25:36.804701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:36.804701Z digest=sha256:cad2cd0edc2ea338639da4619fa0c7ddd99e994c66bdd7899d26635267c626e8

Observation 1ca9c566-d84f-4fe8-a0ba-c222cfd97072 · outbound

This paper cites Torralba, B.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Torralba, B

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.554606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.811725Z digest=sha256:b7ce04b5d6b61780fc32dee00d49000a2c529be74a6fd54a0b7cb218c6f89eff

Observation bcfc38e4-9b20-4ef7-a211-9bb52e25eb67 · outbound

This paper cites Vapnik.The nature of statistical learning theory.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Vapnik.The nature of statistical learning theory

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.532844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.817662Z digest=sha256:1a889d501d0b6dc93224893b80ccc86b34a6a55bf62e216e60443250d17c081d

Observation e6291f6c-2fba-45ef-84da-9c4cb1c758f6 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:38.505694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.822406Z digest=sha256:875da7f12d44beb2e0fc51222e296e0204d5fe2d4c5c8a88b699445b5df28468

Observation f86e92bf-ebcf-4414-9486-20c1d2a6e52a · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:38.478544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.829029Z digest=sha256:1ba9b84e7a424ba3e8b98fb402ac7eb679c148cf0462b7384f23dde5c30813a9

Observation bfd903b4-cedf-4179-bdb8-330f0fc30d35 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:38.447893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.834877Z digest=sha256:bfa040d717014aaf5a79e8ed688a4ec7f9819a7dc467337fbbae3a80e108d9e0

Observation 48103ad9-f677-4fd3-bb0e-51246e790f4f · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:38.425489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.839117Z digest=sha256:4f70dc46bfc6301be8aba9bf85abb50deda96aedc772e79c4934d9f9c97d1314

Observation f2f0772a-d415-4cbd-9e5f-0a3dbc72b3e0 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:38.383702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.843362Z digest=sha256:23488f6ee368793e9e4334b6755e4e6128754e607b67d19fde3472286b1b8a81

Observation bf932b4c-8004-4388-b532-723d46fb3696 · outbound

This paper cites Widmer and M.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Widmer and M

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.360763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.850415Z digest=sha256:de8ae7434f2332946a621eb5fde3eafc5e87e92577a5588a7de83b6d2c846efe

Observation b80360e3-6b9b-4bcf-8075-3f1decc0f96e · outbound

This paper cites Improve Unsupervised Domain Adaptation with Mixup Training.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Improve Unsupervised Domain Adaptation with Mixup Training

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-05T13:25:36.859065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:36.859065Z digest=sha256:25d5aa72124c72b202b5d85cfeef38a720104c3ffc50cb8c3320805fa60c7598

Observation f4f5de7e-b8b5-40a9-b4fe-6cd3c5ef8575 · outbound

This paper cites Zemel, Y.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Zemel, Y

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.338806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.865712Z digest=sha256:6e21ccd2be117c69cafe9ae2fbe539c6285f68542b2cb09b0d320503b3e94747

Observation 969ed082-5b0d-482a-9e8d-090416c21682 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:38.311513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.875167Z digest=sha256:dde1f55d00bb76f31d835d05690bdbec1c3b6e4f7820a062712cf34dd5fe3944

Observation b578380f-0f92-4723-9b56-ca49c14fe705 · outbound

This paper cites Zhang, X.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Zhang, X

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.285121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.881502Z digest=sha256:79db69ba87c54ea554a9df8bf79be970411b9dac674caff9ddbfa17dd82d0794

Observation c5562c28-11d7-4d34-867c-5a96d6239ecc · outbound

This paper cites Zhang, Z.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Zhang, Z

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.255784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.892078Z digest=sha256:642654bd6c7c009d0f05c272e99b342358165c013462a766e972797c0b176a34

Observation 9122d461-0a50-4375-91c8-fe0af50989a6 · outbound

This paper cites Zhang, Y.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Zhang, Y

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.223449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.898443Z digest=sha256:0de3bcac82576af5eb66fadbcc82e1cc14cf5ec8e6e8d66856e8178e5867c180

Observation 936f69e7-8dc2-407a-9daa-cd477d98fdb3 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:38.186354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.906460Z digest=sha256:a8358bdb06b06ce056dce7486cbfb8b473849c052068c81c7e48ce252fa3f1e8

Observation 47615dd2-d13d-4253-9d5a-a2354fb96c80 · outbound

This paper cites Zheng, Y.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Zheng, Y

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.159722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.914027Z digest=sha256:ebbd1b82e3dcadead82ed0bb8c7c9d7cf9c89931864431da8d3abe68cc6a2c0c

Observation e7b8c249-411b-4a6f-aac9-af4cd7b8ec49 · outbound

This paper cites an unresolved cited work.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:25:38.126739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.922694Z digest=sha256:02830223531d60ff2c7ac07b30b080a7b99cca555d9307c16e9663f57ecf421f

Observation 35f62849-bd53-4a7f-ae45-e8b66d9ca427 · outbound

This paper cites elderly" and.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains elderly" and

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.102416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.930956Z digest=sha256:3b720597c8223041ac7a9c145410cb3f1bf4d440380ebc4b6c0fda7519dd98b9

Observation 6f0ab909-2277-40b4-b3d1-b92f03636a09 · outbound

This paper cites Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.075187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.943947Z digest=sha256:03760f08f03c888dd66f2b7360ebe91cee9707bde360c24e66f5aa7c03d662a8

Observation 5732bc63-9eb9-42e8-87fe-5cb6dc794fb0 · outbound

This paper cites Limitations.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Limitations

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:38.052809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.952215Z digest=sha256:f4fa642feb921d60eeaea41a6fa5a05801694dc7d629b12bf595c8dd794cd513

Observation d3b82680-aaff-4766-a9f4-f458eb8f872e · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:37.991268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.959381Z digest=sha256:d510e4b8a629cb8812c35b3fc28ef143abc1fd04e2065724bd0c10bf7c8f5fa7

Observation b320d686-7869-4be3-9b94-55b507a34bfb · outbound

This paper cites The code is attached, and we are committed to releasing it publicly upon acceptance.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains The code is attached, and we are committed to releasing it publicly upon acceptance

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:37.951761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.970079Z digest=sha256:e4109d0d62574192cce6386158e91fed66a768e9f1440dc8b87f42419d7c917f

Observation 0dc08d20-1d38-4e0e-ae87-a032a0b608f4 · outbound

This paper cites Guidelines: • The answer NA means that paper does not include experiments requiring code.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Guidelines: • The answer NA means that paper does not include experiments requiring code

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:37.918534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.978195Z digest=sha256:a025e2c276d3c0296eccf16ab2a3f10f1309db44d9bb93f195351d2c20921e18

Observation 3579133c-e5c1-4c4b-9028-4e6002e42a79 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Guidelines: • The answer NA means that the paper does not include experiments

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:37.880637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:36.992856Z digest=sha256:11478d792ca9bed970990a87f0812f664997221b123868a69aa06f45db3167ad

Observation ecedb364-37d5-4c17-8fb9-ecf1fcb1ebee · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Guidelines: • The answer NA means that the paper does not include experiments

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:37.850043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:37.012939Z digest=sha256:d8e3f8d373829b815a3718bfa43ceb25788845bfd2727a913a871eaa15a74ee7

Observation ba450791-f160-43a2-bfc3-a0f0211d1a2e · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Guidelines: • The answer NA means that the paper does not include experiments

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:37.826610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:37.020253Z digest=sha256:461147ee14d3c9ddc455291b6c263b2575b1c5b1e8c9a347d1de3d5c0fecf6f8

Observation 1de56528-7e63-443a-ad87-fa6175019971 · outbound

This paper cites Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:25:37.797694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:25:37.028623Z digest=sha256:356558e0090d97647bb7207c23044655fa3a98444365e432c4602a18be4839cf

Pith citing papers

No inbound Pith citation observations are available.