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Paper Citation Record · LEDGER

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models

As of 17 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2501.12433.

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

pith.paper-citation-record.v1
2501.12433 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:17:45.914512Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 922bb21e-b25b-4a1d-87f2-af3827253c01 · outbound

This paper cites an unresolved cited work.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:17:46.290911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 28b760a0-328d-42d6-9906-232f96ffa193 · outbound

This paper cites Generate an image of a/an adj animal.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models Generate an image of a/an adj animal

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:17:46.274152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1c130272-c3f0-43b1-a4a3-7684ec423c71 · outbound

This paper cites violent" prompt, DALL-E generates a bear exhibiting aggressive behavior, such as roaring in a forest setting, reinforcing the violent stereotype (See Figure 2). Similarly, for the.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models violent" prompt, DALL-E generates a bear exhibiting aggressive behavior, such as roaring in a forest setting, reinforcing the violent stereotype (See Figure 2). Similarly, for the

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:17:46.256623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ac9a297f-5c3a-41c3-a64f-2735cdae30d6 · outbound

This paper cites Do not stereotype animals.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models Do not stereotype animals

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:17:46.239808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T17:17:45.819368Z digest=sha256:a563c0c4d422c22186565e43460a232238558f3595a6d7e507502450f1098898

Observation 338ce07c-f012-48d9-8c3e-73aa9db6804f · outbound

This paper cites Firstly, the analysis was restricted to a small set of prompts representing specific traits, which may not capture the full range of biases present in the model.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models Firstly, the analysis was restricted to a small set of prompts representing specific traits, which may not capture the full range of biases present in the model

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:17:46.224651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation eca906bb-a546-4209-bdef-4a38be0e98f2 · outbound

This paper cites While we successfully demonstrated that prompt modifications can partially mitigate such biases, the persistence of stereotypes underscores the need for more robust solutions.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models While we successfully demonstrated that prompt modifications can partially mitigate such biases, the persistence of stereotypes underscores the need for more robust solutions

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:17:46.208001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 97d1546d-6164-499e-b96a-0f7d3bb9728a · outbound

This paper cites A Survey on Multimodal Large Language Models.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models A Survey on Multimodal Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T17:17:45.838399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:17:45.838399Z digest=sha256:217306eca91a8a9e77f384a1be4ccc1745a44b5a977ba5565e278f7cc2930104

Observation 16e5a2b9-7cf4-447b-a1d7-62862a4cd320 · outbound

This paper cites and Sutskever, I., 2021, July.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models and Sutskever, I., 2021, July

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:17:46.190703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T17:17:45.844983Z digest=sha256:7f50e59068e4ce9ffd2ffc5d6b18e3d0ed9aaa52affcc3a386cc083697a5ef48

Observation 20ae3333-f4c2-485c-be25-d677d632f5ae · outbound

This paper cites and Krueger, G., 2021, July.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models and Krueger, G., 2021, July

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T17:17:45.851040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a03dadeb-5c27-47c0-930e-c108b4bc33e6 · outbound

This paper cites Gender Bias in Text-to-Video Generation Models: A case study of Sora.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models Gender Bias in Text-to-Video Generation Models: A case study of Sora

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T17:17:46.015495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e2b9b585-05c5-4dc0-ab81-f227ea569813 · outbound

This paper cites Discovering the Cognitive Bias of Toxic Language through Metaphorical Concept Mappings.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models Discovering the Cognitive Bias of Toxic Language through Metaphorical Concept Mappings

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T17:17:45.863277Z digest=sha256:d38a6d76dbefb5e921959a3c233edf8f2a2f52c7e31837744cabedde5068bc51

Observation c959cdb0-6128-4d0f-b6b0-c0f08cb2565f · outbound

This paper cites The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-based Sentiment Analysis and Emotion Detection.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-based Sentiment Analysis and Emotion Detection

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:17:46.146673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a464f57c-9ccf-4d53-9fa3-56115e04a9b1 · outbound

This paper cites and Kosinski, M., 2023.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models and Kosinski, M., 2023

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:17:46.128921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T17:17:45.874556Z digest=sha256:72d8282e259df9cdc89491a25207e092b28aaa4165cb2369555619140955e091

Observation ba06e823-522c-477c-8993-9b3eb1bb3a55 · outbound

This paper cites and Zou, J., 2021, July.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models and Zou, J., 2021, July

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:17:46.112430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T17:17:45.879867Z digest=sha256:c185824b51dcf34e35454911c5f303f8101255db502388035d961d969fec00fb

Observation 53116886-bab0-4af5-a445-64ce585fb58c · outbound

This paper cites StereoSet: Measuring stereotypical bias in pretrained language models.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models StereoSet: Measuring stereotypical bias in pretrained language models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T17:17:45.885324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:17:45.885324Z digest=sha256:c4e45e223993019bac463b693476f631ff3e2d2567780b1802150805866fb94d

Observation 0ded7f32-d954-48fe-a8ad-e188d90ee02d · outbound

This paper cites and Bansal, M., 2023.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models and Bansal, M., 2023

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:17:46.095890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 185c319a-4c9d-4162-86f0-88c1a67dff4e · outbound

This paper cites and Ghassemi, M., 2024, October.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models and Ghassemi, M., 2024, October

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:17:46.079762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T17:17:45.896078Z digest=sha256:0cbb3fe8594e092f9ce6233d7be40320dff384bae127750a84a4575ac91c2df5

Observation d617161f-86d3-4e60-bb2b-1ace3df829c2 · outbound

This paper cites and Abdul-Mageed, M., 2024, August.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models and Abdul-Mageed, M., 2024, August

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:17:46.064492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T17:17:45.900720Z digest=sha256:af4fcbd122438f6a44e1052a1cd89700963b62d4c05ba3261f04298025e32027

Observation 1b7f5ec7-33f2-4f54-95ac-a93a82037822 · outbound

This paper cites Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T17:17:45.904987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:17:45.904987Z digest=sha256:576cc6a1a00f5520caf2bcd23fefd1fccb724d180c1276b49874cb8a6a43a993

Observation 478c76a0-8fd3-4d57-b321-530f673f682f · outbound

This paper cites Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generation.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generation

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T17:17:45.959455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T17:17:45.909663Z digest=sha256:4dbfbd23097a24df45ba5ddb0a786d0af0cb7533eadc0caeec9e649b81f46bf0

Observation 83813ddd-5ac0-4c7e-86fb-0a2a89b48f82 · outbound

This paper cites and Ommer, B., 2022.

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models and Ommer, B., 2022

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:17:46.048080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T17:17:45.914512Z digest=sha256:ba50c0a277a43f0cda1b256b1935cdb5ce00acc6d6a25b213cb74581f991267b

Pith citing papers

No inbound Pith citation observations are available.