Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:17:45.914512Z
Paper Citation Record · LEDGER
Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models
As of 20 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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.
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 2026-08-20T06:33:59.587034+00:00.
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.
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 2026-08-20T06:33:59.587034+00:00.
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
- raw_fallback, observed 2026-08-10T17:17:46.162843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.