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Paper Citation Record · LEDGER

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

As of 9 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.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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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

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

Reference 14

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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

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

Reference 22

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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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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

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

Reference 25

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

Reference 27

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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

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

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

Reference 33

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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

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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

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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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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:34.993960Z digest=sha256:e8702c2be8701a6608a9f9e63bd125b3dcd3a09e12c1ce2dbc1e5c27a8b4c190

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:35.033166Z digest=sha256:3aab6aa8b45bd5679419450568898d8c094f42ac9c79dec2a66783e8b05b0df7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:35.103317Z digest=sha256:61e9951eb86701bf9bb243a226526755d8ff08833c2cc2002e3f1c1d2083c807

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:35.185057Z digest=sha256:c9b7cab2a968c526c0c615859c709a5e8324d85d81e0e8d62b5e12e578bd0cba

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:35.228267Z digest=sha256:76d0106d04f68bcb9e61e8bb1b57a7faf6c0c52ec0941dfb5b9d136e60ea11c9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:35.300197Z digest=sha256:d7068a8ec46a23304c3acbe09f32983dafb0d3d8db7e7d0e706b5d1b8829a761

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:35.389472Z digest=sha256:a4e899e2f2fd110448395306c4799a33dc733cb3763e021a89711cc0f52cb396

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:35.458864Z digest=sha256:23ec31ca3f1ea1dc8dc49a11f75d42d0ef6e8d4b5f497dc77da44f59f984ceea

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:35.512794Z digest=sha256:10a6d2cd11d81b6b1bf0852a7721c51b5acd44b9e686e797e425fa7cabb7b917

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:35.597330Z digest=sha256:c0a8d1d1c70846408ef1b423365da6d2655e45d2629a35b1c290fc2f7b09a7d4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:35.715934Z digest=sha256:36fd659dc5ff718ea5d1c7dba83cc5c4418429c15a5c11674e42c6756b15d481

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=sha256:26c9228c08fa520d4a86680e79968dc93855c35d4a76c193a9e0839a874b9c49

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.084193Z digest=sha256:d9e1b7468c07f8ef68e7bd6a2b3bcc246b9be8ea790340eb92267dd18f4bbbf9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.248286Z digest=sha256:8823a85e16e6981c090974cfde68e517b979f661caacf246e1d4edb08564fa1c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.347586Z digest=sha256:3abc5417c7d99b818ae7c73bb0eceed3547a8660ed08cd31a7c650ed0a516eca

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.377884Z digest=sha256:d86a3af6cd0cbbc361c61133d514df15aa4c5b9daefad995109af4c25ae07fce

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.425357Z digest=sha256:b7627787574904e3f6efe4acf2ecdddf70a2be28ae02e444e538c0e17a1d5f8f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.515483Z digest=sha256:a7d3240b6c596cfbc84e55e942508633663ca2aae0592b5bfa3bb28edf1f7f60

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.617238Z digest=sha256:19df4ad811421338a661a4fea90fab1fb7c3151378f390db48287449a91f1098

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.657220Z digest=sha256:1e15f6b6989ee8122dee1025e87c6ddd372791e2be64754993ab4e3e7cc45287

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.666976Z digest=sha256:6ea8cfaf2b5161e009e66352cffa2db15d8b80b54feda12ea9407ba632e45761

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.677962Z digest=sha256:44e80fb502d81b9e95a7f4a28d5edcba303fcceb9e70a8a119054fb51cc5d877

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.685946Z digest=sha256:d483d663ce5899b53ebed93510f36e5fb57cc94dd48b7a5da1ff77f14c176af8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.695938Z digest=sha256:e49a008f1bea53eac2924754e682ced057b45f678cb7e278757ea267df7a4f37

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.704749Z digest=sha256:0d00e16b40cd4ae9fb616cd6759947cce025f42c6dfc8ae4ab1bcbfa6d10bc21

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=sha256:70542bfb7804fefc416dfd81a0cb530683a3df6ef6f945d0ad9654a924943586

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.732356Z digest=sha256:b36741536205cb14459128e6c5d9b759804bdb19760e168e80a73059afc2c739

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=sha256:5fd1da33ad6ef29f77c2a60cc4dc93cf2f41c5466e755be1fdeeabb45be50647

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.745836Z digest=sha256:71571f485d5c2ab674db6e4a81189eeadaa8b3bac56d049380866f7e9743b839

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.753429Z digest=sha256:935b78cd59485cf8f604f3d497e7e1757b14b5ac51632fa6496ae7307fb7fdeb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.763402Z digest=sha256:43dcb7bb3d338a91e543d5ae85858040892c6b1e45e41ee860d3c31daaa4fe8b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.771429Z digest=sha256:d8a69721c2f04f2ecf07d1dbe0e3674cc59c5d83d37a3bd6555ebb5ee027fa3c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.784793Z digest=sha256:29fd9c88152c44027ad78a78f7d39fb41e18af4b8764a360a9200d65798a8ddd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.793287Z digest=sha256:a871f33eadbcd52ea37a69d31135088af0be71f5a980275b6a655c5d3ffc1487

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:a823745dab8fc0be56412cae67ff1ed4a5e8a94d3563d017474456e9b04eefa0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.811725Z digest=sha256:c5f505d5527463c290b1e1726d1182cfb0d78e4928e1648fd7ff0c2113e59ab1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.817662Z digest=sha256:06e660adbe452e65dabca781a5a3ca0c247e56ca3079554053936c7628557d45

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.822406Z digest=sha256:d6b6ac6e88c350d18eb0155c85279d7bf6d5395bffb70d775dd3cf331ff1551d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.829029Z digest=sha256:a9777e7d79cc7f49f5ab6e819844d71dfd07a90445721a34861d80aab750ffbe

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.834877Z digest=sha256:6a5d3e67b759e0d00640990091abbfc0c31aea03a5fc72102919d1faab23a140

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.839117Z digest=sha256:e8dab901aeef2690e2d1592f12f4aea9ce38abf9adfc569b17e298139e29a711

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.843362Z digest=sha256:13ce6bd31306f12595874fbcb6251b42599d0b892564f47902575a4247a79bef

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.850415Z digest=sha256:e91af42a1345190d80b563d447c79f3664f5ce03c0ec89e98f5c128e5d7601fe

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:b4e78d96c6d81a0c36f53176aef63a2dee7e23e13acb71a9cb176cef1b61f9e6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.865712Z digest=sha256:3df898ad14dc6195c0a6a29647fd7ce3137eeec648d5c018fcf936e894b0709e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.875167Z digest=sha256:7c62537bc56c27f22d4af62a9520903b17e12f20a50a6fcff11ce1345e860129

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.881502Z digest=sha256:cda455c49a377f8ac82259bfc35cb920210b21375ee86a0da0e21dce3288dbb5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.892078Z digest=sha256:f3a45aee338625e9213a80b4e027ccc50cde1e4bb9fff9a2102d71ae5b9eb943

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.898443Z digest=sha256:f77ef3a46c4706275de55c531f16884f56a83c5460152b211bee2e5c46a67e25

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.906460Z digest=sha256:397b6d253f42e792e123bb4ca3d21dd484b14b78bab868b8a07456d50bf623c3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.914027Z digest=sha256:601aec9ad9f8db065c8fcf800ae429462ab2d023c99ecec650200aa05d9ff5c3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.922694Z digest=sha256:47c98c10e84adbf2c1f77a15a641fb1aadd7e0790b22ee6ec418c1791315bb7d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.930956Z digest=sha256:86e01f3c1275f820034d841bcca32156d9af2498f30ee538d05f4c0404a9eea6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.943947Z digest=sha256:feb1661d7bdbe9f7ebb7a55a092798e9621561d022defed0788b377626e1c850

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.952215Z digest=sha256:4252208849c9d662b10c83217876ed01ac8d356b8f496afea241f0e89a58176e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.959381Z digest=sha256:79b160cbf3a7036758a846ec46b1886baca1f056e877178ee48f04b6bbdc7196

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.970079Z digest=sha256:db2cd5adb5e4b57865d9985dd68ee75610ba8d3fa2cd32ebfb25750c52aed5b6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.978195Z digest=sha256:6d89228da4c7229e6dfa6feaa156b0bed6a2fa81bb0dd9fe1ef68acd48b04683

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:36.992856Z digest=sha256:cdea6b9ce054da6a4612eacd55ccf9a22c2d2b32c717cce5efaa9fd0d86d7f8b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:37.012939Z digest=sha256:a1de6a053cbb048195cbb787dd264999deb15f95219369b4e592faac5c51fbc1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:37.020253Z digest=sha256:ec787b4047d81beeae4f759ba982ebd018167dea52fc4ea54d74dbf3f28b8520

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:25:37.028623Z digest=sha256:3300c67e658943e86d905a74dd4db0358470c0c86b8cf3d425caab313c777601

Pith citing papers

No inbound Pith citation observations are available.