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Paper Citation Record · LEDGER

Gender Bias in Text-to-Video Generation Models: A case study of Sora

As of 17 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2501.01987.

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

pith.paper-citation-record.v1
2501.01987 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:04:10.995816Z

measured 22 of 22 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:17:45.856922Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T17:17:46.010405Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b572f002-2f69-4a03-b9ae-2d6e145f412b · outbound

This paper cites The advent of AI-generated content (AIGC) has spurred extensive scholarly research and revolutionized industries such as content generati on [3,4], medical imaging [5,6], etc.

Gender Bias in Text-to-Video Generation Models: A case study of Sora The advent of AI-generated content (AIGC) has spurred extensive scholarly research and revolutionized industries such as content generati on [3,4], medical imaging [5,6], etc

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:11.284247Z

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=2026-08-10T23:04:10.899130Z digest=sha256:be83e02f534d23817a49e23e18097edc613b52dc6b54f79478bf0b9398ac14ca

Observation 56cecd65-a3e2-4ee1-9d77-a2caab5616e6 · outbound

This paper cites A doctor working.

Gender Bias in Text-to-Video Generation Models: A case study of Sora A doctor working

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:11.270243Z

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=2026-08-10T23:04:10.905316Z digest=sha256:dbcf3e5236c4a72597db093d73e2145afb58abbc88e46deb8bbe906c1faa7644

Observation 762abec3-f67d-447f-8ca8-3d7605d060cb · outbound

This paper cites Attractive.

Gender Bias in Text-to-Video Generation Models: A case study of Sora Attractive

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-10T23:04:11.257543Z

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=2026-08-10T23:04:10.909086Z digest=sha256:7bfcfd97f2155d742a1112ad8aee6b4f7910170d2f2000abd1c351baf2d2f555

Observation f5fc84b3-fb9f-4030-bb6b-865500ecef51 · outbound

This paper cites A male nurse.

Gender Bias in Text-to-Video Generation Models: A case study of Sora A male nurse

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:11.244384Z

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=2026-08-10T23:04:10.913152Z digest=sha256:72d0a2516c38c2ca994ecf1df30e4a2986acba16f2d1456b4e752d09092c57d3

Observation b8737939-651e-4303-8e65-5b4d1ce9b58e · outbound

This paper cites First, the analysis is restricted to a single model, Sora, which limits the ability to draw broader conclusions about text-to-video generation models.

Gender Bias in Text-to-Video Generation Models: A case study of Sora First, the analysis is restricted to a single model, Sora, which limits the ability to draw broader conclusions about text-to-video generation models

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:11.230859Z

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=2026-08-10T23:04:10.919714Z digest=sha256:51d39418f63aa99279abb8680ec6be2f6eb30a887a898f69a8b15fe819c83999

Observation 4ee1dc37-b51c-44fa-be0a-944d5d43dfdd · outbound

This paper cites The findings reveal significant biases that align with traditional gender stereotypes, with females being predominantly associated with traits such as attractiveness and frailty.

Gender Bias in Text-to-Video Generation Models: A case study of Sora The findings reveal significant biases that align with traditional gender stereotypes, with females being predominantly associated with traits such as attractiveness and frailty

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:11.216602Z

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=2026-08-10T23:04:10.926695Z digest=sha256:1a18da2969a03e15f509c29abb34709d8beb82d55e4717d2df4888199aa619c5

Observation e2977594-ceca-4029-8d2d-073bcf48ff94 · outbound

This paper cites A Survey on Multimodal Large Language Models.

Gender Bias in Text-to-Video Generation Models: A case study of Sora A Survey on Multimodal Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:10.937930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:10.937930Z digest=sha256:162e793b0f6698dad68db0719b235c672bbcac8ef937e5a25aea66c5db46b77c

Observation df9aba7b-e4db-4e50-85f4-b30b3d719329 · outbound

This paper cites Text2video -zero: Text-to-image diffusion models are zero-shot video generators.

Gender Bias in Text-to-Video Generation Models: A case study of Sora Text2video -zero: Text-to-image diffusion models are zero-shot video generators

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:11.202143Z

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=2026-08-10T23:04:10.943023Z digest=sha256:0412ea2b3f227292147f54015f3970459b58514be8e7f9b44e0fcc097f641fed

Observation cc654cfd-051c-4ccb-b530-4c103691bd5f · outbound

This paper cites Llm based generation of item -description for recommendation system.

Gender Bias in Text-to-Video Generation Models: A case study of Sora Llm based generation of item -description for recommendation system

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:11.189064Z

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=2026-08-10T23:04:10.947459Z digest=sha256:9a7df38a07d480510da8987468cb997cefee9d67c86ff6cadaac25f0100c40ee

Observation eb4807f5-5f73-4e28-b313-395b5a4e4b3b · outbound

This paper cites The Current State of Artificial Intelligence and Its Intersection With Radiology.

Gender Bias in Text-to-Video Generation Models: A case study of Sora The Current State of Artificial Intelligence and Its Intersection With Radiology

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:11.178207Z

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=2026-08-10T23:04:10.951229Z digest=sha256:62301a4fc908611b4fc8dbb4d45ca852ee457481b757d59dd38b8ee86da0941b

Observation 107ce420-89b0-4b22-af0e-c3f5f6bbe9a6 · outbound

This paper cites Generatect: Text -conditional generation of 3d chest ct volumes.

Gender Bias in Text-to-Video Generation Models: A case study of Sora Generatect: Text -conditional generation of 3d chest ct volumes

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:11.166544Z

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=2026-08-10T23:04:10.955021Z digest=sha256:b1301255a4b4e757ee8e4791600669ddee2b40e89920d64ef2239d72e2468338

Observation 5c683714-f37a-441d-a061-bfa0f33146a5 · outbound

This paper cites A survey on video diffusion models.

Gender Bias in Text-to-Video Generation Models: A case study of Sora A survey on video diffusion models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:11.153403Z

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=2026-08-10T23:04:10.959018Z digest=sha256:b645bf0fc5fd2f6986e723bf76c544eada079ab0ab8aee196942878445f25ae4

Observation 562e6163-6030-4993-a948-311dd7db8fd4 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Gender Bias in Text-to-Video Generation Models: A case study of Sora Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:10.962917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:10.962917Z digest=sha256:afc3d282a04ae9b3b02ffccdc54d8e28318e59e6d824f39dda83504b3ffeb6e2

Observation 43b623cd-28d3-4563-b20a-3dd5b5a1e6ce · outbound

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

Gender Bias in Text-to-Video Generation Models: A case study of Sora and Zou, J., 2021, July

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:10.966256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:10.966256Z digest=sha256:db6c3af03a1b4e736269074da3864442ddd5e288891894744837d66e0f32e6db

Observation 0726dc80-01dc-4606-811c-a626c66b0c6b · outbound

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

Gender Bias in Text-to-Video Generation Models: A case study of Sora and Abdul -Mageed, M., 2024, August

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:11.131482Z

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=2026-08-10T23:04:10.969932Z digest=sha256:7d85d577268bf493af5b5a0597294206ad207c1e1f6bf7a0001e969a509ddd04

Observation 0bfe2b82-45d4-4c55-86bd-a634b6d16946 · outbound

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

Gender Bias in Text-to-Video Generation Models: A case study of Sora StereoSet: Measuring stereotypical bias in pretrained language models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:10.974273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:10.974273Z digest=sha256:fb35aefdd1545a18b751607b96afcd22db341bb9c860df117089a8c3d759d95a

Observation 5da88c4b-a747-415a-9c1b-2f5006ee1d46 · outbound

This paper cites and Bansal, M., 2023.

Gender Bias in Text-to-Video Generation Models: A case study of Sora and Bansal, M., 2023

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:10.979204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:10.979204Z digest=sha256:56cf4065455cb064c69210c6f06178885ed7a8bfe83cf2d6a2184f71919eeeff

Observation 41c3d99e-1831-41eb-b39b-58ce3c85fc7d · outbound

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

Gender Bias in Text-to-Video Generation Models: A case study of Sora and Ghassemi, M., 2024, October

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:11.110070Z

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=2026-08-10T23:04:10.982967Z digest=sha256:8ded80aa730e62a13e495c946b6fafc8a4cdf7de8a00593ddd151963c60bc49b

Observation 0d7e1575-826d-4bb5-957f-1cce3ce44097 · outbound

This paper cites Analyzing Quality, Bias, and Performance in Text-to-Image Generative Models.

Gender Bias in Text-to-Video Generation Models: A case study of Sora Analyzing Quality, Bias, and Performance in Text-to-Image Generative Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:10.986560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:10.986560Z digest=sha256:6423ce637bc2bcc75f33562c4fc86a7fb03c9f030883c01d2b8b1851007afea9

Observation 51907404-bdd5-4117-a5d4-ce825c91914c · outbound

This paper cites Survey of Social Bias in Vision-Language Models.

Gender Bias in Text-to-Video Generation Models: A case study of Sora Survey of Social Bias in Vision-Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:10.990910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:10.990910Z digest=sha256:5632e3a880ffd886464de26789f3bac39fc0e6eddfd6417de38d617bdc5a6902

Observation 4ac63005-f9c0-41cd-8f04-9644c67d6bf3 · outbound

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

Gender Bias in Text-to-Video Generation Models: A case study of Sora Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:10.995816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:10.995816Z digest=sha256:7a5f80b2ad1268b0870aef82314e39a2d4c98e58d1e53adb6bf85c5cc567dc0d

Pith citing papers

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

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models cites this paper.

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.

source=pdf_text observed=2026-08-10T17:17:45.856922Z digest=sha256:607a6c7a517942dadeaeb61c1605579d44b9b4db5f1899c986d75127d44f66bd