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Paper Citation Record · LEDGER

Investigating Algorithmic Bias in YouTube Shorts

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2507.04605.

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

pith.paper-citation-record.v1
2507.04605 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:49:51.163643Z

measured 29 of 29 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T21:18:01.626348Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cfe6d92a-46b5-4694-aaae-967bfbca885a · outbound

This paper cites Shorts on the Rise: Assessing the Effects of YouTube Shorts on Long-Form Video Content.

Investigating Algorithmic Bias in YouTube Shorts Shorts on the Rise: Assessing the Effects of YouTube Shorts on Long-Form Video Content

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:49:52.377070Z

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=2026-08-06T19:49:48.396826Z digest=sha256:a3f20dbe7b391d0f7bacc2ccd69211c1a08156026903b87d09da610a9ad461ae

Observation 6c0686d4-1051-45a7-9100-138d73ee334e · outbound

This paper cites Aubin, C., Liedke, J.: Social Media and News Fact Sheet.

Investigating Algorithmic Bias in YouTube Shorts Aubin, C., Liedke, J.: Social Media and News Fact Sheet

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:57.598499Z

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=2026-08-06T19:49:48.479704Z digest=sha256:c8c0e396b826897adff97a3ed045008f7c6e19dafebd8e10a4346b23a4fa41b3

Observation cd5ed153-e938-4e1d-823f-40ba2d703f30 · outbound

This paper cites Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trends.

Investigating Algorithmic Bias in YouTube Shorts Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trends

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:49:52.103230Z

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=2026-08-06T19:49:48.586458Z digest=sha256:933434d7b0ff5b3278d157b0946debcb7efc294a394e5fc98a66578e5269e1ae

Observation 76cecbdc-2851-4184-bed0-787dc673074c · outbound

This paper cites Michigan Journal of International Law 45(1), 93–154 (2024).

Investigating Algorithmic Bias in YouTube Shorts Michigan Journal of International Law 45(1), 93–154 (2024)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:57.264914Z

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=2026-08-06T19:49:48.700880Z digest=sha256:d9c5e78b3bf41f0e647db21bdb16deca4aa1fe7b6f612da97cd813294f6eb21d

Observation 487a1af9-68ce-4651-a480-d360ca856a14 · outbound

This paper cites The New York Times.

Investigating Algorithmic Bias in YouTube Shorts The New York Times

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:56.936874Z

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=2026-08-06T19:49:48.841989Z digest=sha256:f11aebad8ff350560c16055cdac168b3c690bc5dfc70c135424dd124df3132fe

Observation f4150697-2a1c-4ae7-84c6-b69d49ca4b33 · outbound

This paper cites In: Boratto, L., Faralli, S., Marras, M., Stilo, G.

Investigating Algorithmic Bias in YouTube Shorts In: Boratto, L., Faralli, S., Marras, M., Stilo, G

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:56.725836Z

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=2026-08-06T19:49:48.908836Z digest=sha256:b3b19723b055120d550239155e0d46f9939e6308e1435804d770324c96312f6f

Observation 9ddea253-a28f-4b72-8abe-07c0b27e2535 · outbound

This paper cites Applied Network Science 10(1), 1–38 (2025).

Investigating Algorithmic Bias in YouTube Shorts Applied Network Science 10(1), 1–38 (2025)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:56.556214Z

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=2026-08-06T19:49:48.972469Z digest=sha256:14c1bbb8898fe40e7b4def9b52745afb3a416e89e9374e28cd17be0635dc4774

Observation 731f249e-25c0-4175-a215-7aa45475d1d0 · outbound

This paper cites In: Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, pp.

Investigating Algorithmic Bias in YouTube Shorts In: Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, pp

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:56.343390Z

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=2026-08-06T19:49:49.043944Z digest=sha256:530911c9b17ee0b4316abbf9c71927e164a820069bd36e35acbfa418c8831bfa

Observation a84a49c5-70b7-494e-98db-a883e7dbdf7c · outbound

This paper cites In: Cherifi, H., Rocha, L.M., Cherifi, C., Donduran, M.

Investigating Algorithmic Bias in YouTube Shorts In: Cherifi, H., Rocha, L.M., Cherifi, C., Donduran, M

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:56.040158Z

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=2026-08-06T19:49:49.119768Z digest=sha256:13ced678016d6e220210c65e52600eda0aac11b4d077784213d7a868474e2063

Observation 54832680-f034-4a8b-b616-2ee5461a0764 · outbound

This paper cites Social Network Analysis and Mining 14(1), 1–42 (2024).

Investigating Algorithmic Bias in YouTube Shorts Social Network Analysis and Mining 14(1), 1–42 (2024)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:55.830256Z

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=2026-08-06T19:49:49.179013Z digest=sha256:66304e84c635e8e062380c7358425e8dc48a21c673d0f2f25af0b3bced4120de

Observation 696d067b-6dc0-4218-931a-62062582071c · outbound

This paper cites an unresolved cited work.

Investigating Algorithmic Bias in YouTube Shorts Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:49:55.628096Z

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=2026-08-06T19:49:49.233810Z digest=sha256:90644701c2895bb029515f0dbcc89a4ad5512ae8610da23e58477c89e66cc49e

Observation 8bc735ed-7835-463b-bab8-a9184b4c0848 · outbound

This paper cites In: International Confer- ence on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, pp.

Investigating Algorithmic Bias in YouTube Shorts In: International Confer- ence on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, pp

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:55.418412Z

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=2026-08-06T19:49:49.276526Z digest=sha256:adafa7267752573f236b6bfaf09f23b10a3fd0c55213dcaa2d88cbcb9e37e723

Observation 4e2adc83-f9e2-481c-85bd-f0d5caa3d656 · outbound

This paper cites an unresolved cited work.

Investigating Algorithmic Bias in YouTube Shorts Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:49:55.169596Z

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=2026-08-06T19:49:49.400147Z digest=sha256:ad98a88c56b8ddbbaf0d4fd42ec8458dc51134ae2fbaa4188d48a10cce73de08

Observation 95a07760-3eed-41c5-8dd5-92a94c2fdfa0 · outbound

This paper cites In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, pp.

Investigating Algorithmic Bias in YouTube Shorts In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, pp

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:54.853686Z

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=2026-08-06T19:49:49.539978Z digest=sha256:1ba02dc870b557103f5d85598486cd5dc0e40d9a9cf7c7265eaed8665f93627c

Observation 8c4ddf98-234a-45b9-9ea5-6fdbffe0884e · outbound

This paper cites PBS News.

Investigating Algorithmic Bias in YouTube Shorts PBS News

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:54.547854Z

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=2026-08-06T19:49:49.678787Z digest=sha256:4769e7010b80b301c4637c9617809a1ed2f547c07c86f0589fb5394e5d2c6cde

Observation 6877582d-bc72-43c9-8a06-d61e123eb042 · outbound

This paper cites https://www.atlanticcouncil.org/ programs/digital-forensic-research-lab/.

Investigating Algorithmic Bias in YouTube Shorts https://www.atlanticcouncil.org/ programs/digital-forensic-research-lab/

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:54.186039Z

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=2026-08-06T19:49:49.819997Z digest=sha256:2efe54f2c5156d7d9cc6773d92b331de6ddc57ce3d7381ca9599a01e48372622

Observation 3f9c4391-91c0-4c4f-9bd5-87d161f38594 · outbound

This paper cites https://cil.nus.edu.sg/research/ocean-law-policy/south-china-sea/.

Investigating Algorithmic Bias in YouTube Shorts https://cil.nus.edu.sg/research/ocean-law-policy/south-china-sea/

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:53.883733Z

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=2026-08-06T19:49:49.900556Z digest=sha256:d69ed14c3a221a133ef979823fd5877ee625eb08940d8b2f2bb4dce871ea2432

Observation f2a8c268-42be-4441-a11c-9730ac9fe79f · outbound

This paper cites https://entreresource.com/ youtube-video-categories-full-list-explained-and-which-you-should-use/.

Investigating Algorithmic Bias in YouTube Shorts https://entreresource.com/ youtube-video-categories-full-list-explained-and-which-you-should-use/

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:53.542065Z

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=2026-08-06T19:49:49.983169Z digest=sha256:4e441806dac818708085fcb0595b198de4d89ddd0f53b7acf532089f37120447

Observation d4f329be-8613-4652-b5ae-a322a7898ca7 · outbound

This paper cites an unresolved cited work.

Investigating Algorithmic Bias in YouTube Shorts Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:49:53.367756Z

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=2026-08-06T19:49:50.108566Z digest=sha256:8b74e39ac05d29fe458712c92743b39367fb8adf90ab40143412701be31aedf9

Observation de1c937f-43bb-4605-8920-f5d434531d65 · outbound

This paper cites In: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp.

Investigating Algorithmic Bias in YouTube Shorts In: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T19:49:50.192703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:49:50.192703Z digest=sha256:075276892ef5d4d27c4ccb80168c9a945efb76210f02c290139228b549d2fe40

Observation e4193ce1-6e8f-4f78-9660-d466e1a2f424 · outbound

This paper cites In: 2024 IEEE Interna- tional Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp.

Investigating Algorithmic Bias in YouTube Shorts In: 2024 IEEE Interna- tional Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T19:49:50.346123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:49:50.346123Z digest=sha256:2355f0d7a7ee830b7ca9bb66eae230ecc9574c142d75b01563be6f0abf0a48fb

Observation 82f5b115-fc22-4d85-8338-6d8104ac6a25 · outbound

This paper cites IEEE Engineering Management Review 52(2), 153– 164 (2024) https://doi.org/10.1109/EMR.2024.3353338.

Investigating Algorithmic Bias in YouTube Shorts IEEE Engineering Management Review 52(2), 153– 164 (2024) https://doi.org/10.1109/EMR.2024.3353338

Reference 22

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T19:49:51.685753Z

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=2026-08-06T19:49:50.458737Z digest=sha256:15bac19bcabbd29bb1ac15151be12ea1da1bd091420f709e3cd9e18525c55c08

Observation 04181dfa-1c90-48d7-be89-56d08dfba3ba · outbound

This paper cites GoEmotions: A Dataset of Fine-Grained Emotions.

Investigating Algorithmic Bias in YouTube Shorts GoEmotions: A Dataset of Fine-Grained Emotions

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T19:49:50.539841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:49:50.539841Z digest=sha256:b7396abe144ee3ab135252e027e7760c8fd7804e845fca7176f40be6cf0cb0cc

Observation da0a59a0-2026-418e-970d-ccf47725c810 · outbound

This paper cites DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset.

Investigating Algorithmic Bias in YouTube Shorts DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T19:49:50.667870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:49:50.667870Z digest=sha256:3351a8e1789ccd1cd06d44719e25a038e9ec9629e4cc1fa76bcca09e90057d35

Observation 851cfc17-cd93-4e7a-8512-f056f160a875 · outbound

This paper cites https://www.kaggle.com/datasets/bhavikjikadara/ bbc-news-articles.

Investigating Algorithmic Bias in YouTube Shorts https://www.kaggle.com/datasets/bhavikjikadara/ bbc-news-articles

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:53.116078Z

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=2026-08-06T19:49:50.793542Z digest=sha256:e49f4e1c4c91b532970737da32142fab8d2894adf1ec1314cccbaea37f798c4b

Observation 9eeb1a10-8378-41e7-b1a4-9b87148b4105 · outbound

This paper cites News Category Dataset.

Investigating Algorithmic Bias in YouTube Shorts News Category Dataset

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T19:49:50.960554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:49:50.960554Z digest=sha256:32eea8ce60b8039f29db70d1c0ceedd5a0601f2ef10fe8da0cb91134eb467fa6

Observation e7d7aeb0-d741-485e-974b-74e0bb9c38cd · outbound

This paper cites an unresolved cited work.

Investigating Algorithmic Bias in YouTube Shorts Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:49:52.892989Z

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=2026-08-06T19:49:51.057179Z digest=sha256:c3f17d01f3b11384a415385b9a1ba7d5d780ca12673510a7065b5678cb6f4ae1

Observation 66663864-a3d0-4755-ab3f-88c1104c8189 · outbound

This paper cites In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp.

Investigating Algorithmic Bias in YouTube Shorts In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:52.657024Z

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=2026-08-06T19:49:51.163643Z digest=sha256:76c5769d0caf53e0c8318e9242818b188ba7fce88431189de7d9c8450ab76bc8

Pith citing papers

Observation 2807107a-3a71-4fc8-8f4d-169024e3c248 · inbound

Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok cites this paper.

Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok Investigating Algorithmic Bias in YouTube Shorts

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-13T21:18:01.626348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:18:01.626348Z digest=sha256:b896659e82cce91306bea3d817cd4760872dd9200fc43e52d2379857aac1838c