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Paper Citation Record · LEDGER

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models

As of 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2506.03664.

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

pith.paper-citation-record.v1
2506.03664 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:01:38.117992Z

measured 40 of 40 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

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

  • verified exact2
  • verified fuzzy18
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05b0ef30-d999-496a-ba23-e4959e985f3c · outbound

This paper cites Ahn and A.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Ahn and A

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation f1e81cea-bbb4-44d5-966d-f136b74a23a0 · outbound

This paper cites Alain and Y.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Alain and Y

Reference 2

Resolution
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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.

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Observation dfb179a5-c61d-4966-9e60-70c4f27eb448 · outbound

This paper cites Baker, H.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Baker, H

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 33e41138-f634-4ddb-8cf1-ac7d6278f616 · outbound

This paper cites Bolukbasi, K.-W.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Bolukbasi, K.-W

Reference 4

Resolution
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Source-reported events for the cited work

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Observation cf4e7d75-1580-4b96-a7ab-336ff371aea2 · outbound

This paper cites Buolamwini and T.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Buolamwini and T

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 9f3b9610-35d9-4dbc-843d-2ffd721e9fe4 · outbound

This paper cites Carter, Z.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Carter, Z

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 217a4131-3334-4626-a262-ba985dac5ffe · outbound

This paper cites an unresolved cited work.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Unresolved cited work

Reference 7

Resolution
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Source-reported events for the cited work

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Observation 6230ef0f-7386-48be-9ed1-f2d70758359d · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 8

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4bab8870-64bd-4d25-8e27-22704d6a6209 · outbound

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

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

Resolution
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no resolver link, observed 2026-08-07T11:01:35.121770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ac1a9a09-dcdd-4f21-a5ae-8a4e5b23c30a · outbound

This paper cites Erhan, Y.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Erhan, Y

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 59bc719c-f1e5-424c-bd8d-49b3c6f00458 · outbound

This paper cites Fiacco, S.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Fiacco, S

Reference 11

Resolution
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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.

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Observation 61c65a09-819d-4aef-903b-7d983295f698 · outbound

This paper cites Goodfellow, Y.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Goodfellow, Y

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ac35e3aa-f9b5-47db-8b0e-b78a6346caed · outbound

This paper cites an unresolved cited work.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Unresolved cited work

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:01:35.499991Z digest=sha256:eaa8bd351f3129d5f459eabdef1d7f4c05990ec8ac41d9e6aba6fc1f224c4b49

Observation 4663acac-7fac-4168-ac28-8371b0845232 · outbound

This paper cites Hohman, H.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Hohman, H

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 57699d8b-0ac2-40d3-bd8b-d60cf94df3bd · outbound

This paper cites an unresolved cited work.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Unresolved cited work

Reference 15

Resolution
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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.

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Observation 8c4e4ed2-a7a9-4e65-8779-8214b2751944 · outbound

This paper cites Karkkainen and J.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Karkkainen and J

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 393c0331-297a-43f3-bd1d-c5fee969d6f2 · outbound

This paper cites an unresolved cited work.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Unresolved cited work

Reference 17

Resolution
unresolved
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Source-reported events for the cited work

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

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Observation fc36a174-e9a7-4caa-8822-7694a3de7389 · outbound

This paper cites an unresolved cited work.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Unresolved cited work

Reference 18

Resolution
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Source-reported events for the cited work

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

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Observation 795ab947-b4a4-4225-9c80-7d8c94a28531 · outbound

This paper cites Kindermans, K.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Kindermans, K

Reference 19

Resolution
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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.

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Observation 0e593cc1-5752-423e-96a0-05c3243bf4f2 · outbound

This paper cites an unresolved cited work.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Unresolved cited work

Reference 20

Resolution
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Source-reported events for the cited work

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

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Observation 0c512574-dd00-453d-a708-d4d4ab508d21 · outbound

This paper cites an unresolved cited work.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Unresolved cited work

Reference 21

Resolution
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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.

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Observation 63f39c53-bb56-42fc-9ade-df33e1bdc91b · outbound

This paper cites an unresolved cited work.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Unresolved cited work

Reference 22

Resolution
unresolved
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Source-reported events for the cited work

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

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Observation 41a1fc2c-3625-4c28-abf9-adca07356ef9 · outbound

This paper cites an unresolved cited work.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Unresolved cited work

Reference 23

Resolution
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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.

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Observation 0dbe3de9-52c6-40d3-8a55-c6b35e93e548 · outbound

This paper cites Detecting Gender Bias in Transformer-based Models: A Case Study on BERT.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Detecting Gender Bias in Transformer-based Models: A Case Study on BERT

Reference 24

Resolution
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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.

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Observation e06dde6a-40cc-4bc6-8829-aa90bf670de7 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 25

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 140d097c-0db5-44df-a72b-d8094d01b298 · outbound

This paper cites McInnes, J.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models McInnes, J

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 7d90ac65-6955-4cc1-9125-ad166575af1e · outbound

This paper cites Insights on representational similarity in neural networks with canonical correlation.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Insights on representational similarity in neural networks with canonical correlation

Reference 27

Resolution
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Source-reported events for the cited work

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Observation bc6555a0-f9a2-45d8-84bb-bf55e0ce30e7 · outbound

This paper cites Mordvintsev, C.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Mordvintsev, C

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 26be8091-ebee-406d-b8d4-26933d6c3cdd · outbound

This paper cites Nagamine, M.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Nagamine, M

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation e31c6ff0-ea9a-4f3e-9a32-7ab5e9d4bb03 · outbound

This paper cites Osindero and G.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Osindero and G

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 0f6bf76f-f5b8-4171-adc5-227a50714b75 · outbound

This paper cites an unresolved cited work.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Unresolved cited work

Reference 31

Resolution
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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.

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Observation fb4e2df4-6c3b-438d-8dd1-23cab2c72cf1 · outbound

This paper cites When does Bias Transfer in Transfer Learning?.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models When does Bias Transfer in Transfer Learning?

Reference 32

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d2d5e2b6-0629-46f9-840d-1cfb41f381e5 · outbound

This paper cites an unresolved cited work.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Unresolved cited work

Reference 33

Resolution
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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.

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Observation e5cc0593-3b3e-4061-959b-5c00d6af8b17 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 34

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 93ec6ece-27c1-403f-95cc-3f2f8f06083a · outbound

This paper cites Stricker, F.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Stricker, F

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:01:38.798072Z

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=2026-08-07T11:01:37.882336Z digest=sha256:3594108adb5672b49d73b35f9aae6be2baeffa1c1dee7d31d34cdf7c232a6fde

Observation 5d7a0ef9-3982-4f1b-af33-2955fb755f0c · outbound

This paper cites Discrimination in Online Ad Delivery.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Discrimination in Online Ad Delivery

Reference 36

Resolution
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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=2026-08-07T11:01:37.933884Z digest=sha256:af28d9f6e97fc211da7e1b85727b41306456d5b426d7ac0fa7f71c992976491d

Observation 0995e692-2b77-46a1-b851-f9a110b5bcda · outbound

This paper cites Szegedy, V.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Szegedy, V

Reference 37

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Observation 63aefa3e-596e-4164-971c-e663436294fd · outbound

This paper cites Torrey and J.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Torrey and J

Reference 38

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Observation 387ab1aa-cf76-4d76-a5e6-b682159a93c7 · outbound

This paper cites Understanding Neural Networks Through Deep Visualization.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models Understanding Neural Networks Through Deep Visualization

Reference 39

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Observation d950f6f6-6e0e-4027-ad76-75bde209f7e7 · outbound

This paper cites CEUR-WS, 2023.

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models CEUR-WS, 2023

Reference 2023

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