Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:25:37.028623Z
Paper Citation Record · LEDGER
Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains
As of 16 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
100 of 107 outbound references displayed
- verified exact1
- verified fuzzy35
- unresolved64
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:32.002019Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:32.135170Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:32.233150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:32.330380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:32.482028Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:32.566639Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d35ff200-04b1-40b3-9859-0c514b8e8767 · 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 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:32.669425Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:32.776992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:32.925059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:25:37.496829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0472efe4-4787-4b39-9d4c-4db55a737321 · 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 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.054842Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.106929Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.194108Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79dd5234-19cb-4e7e-b9cd-97ece68ebf4e · 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 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.225577Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.255141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.289418Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 906cb11a-ffff-42db-9aa5-dfe1c002a011 · 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 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.314218Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.350138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.400921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8885e4e2-8a34-4ea7-999f-be525da340c3 · 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 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.468685Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 677f8693-6d73-4b95-b5f4-57262860df46 · 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 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.535316Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.603221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 211c4924-798c-44fa-80a3-1219e381b29b · outbound
This paper cites Everingham, L.
Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Everingham, L
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.679461Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00a9129c-418d-4396-a934-39f603d6f04c · 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 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.756401Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.834925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 461df12e-18d8-40a7-8c8f-bc14d8df1aaa · outbound
This paper cites Giguere, B.
Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Giguere, B
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:33.882557Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62118709-e453-4b09-afde-298236548181 · outbound
This paper cites Griffin, A.
Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Griffin, A
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:34.078903Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8535dff-c949-4217-beaa-ba2648e7fa2e · 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 29
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7444c7d3-9741-482b-b9a4-ec9ff6e6a310 · outbound
This paper cites Hardt, E.
Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains Hardt, E
Reference 30
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd24e273-24f9-453a-b7ed-9ea6a751ce72 · 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 31
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:25:39.846852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:39.816506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:39.789727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:39.774128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
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- raw_fallback, observed 2026-08-05T13:25:39.733078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:39.711733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-16T06:30:59.297886+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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.
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 2026-08-16T06:30:59.297886+00:00.
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.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.