{"as_of":"2026-08-11T01:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8b2ce960cba4e170f5b2f6a2bfe56ef4269bfad31791701574cd9a36631b31c7","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:49:51.163643Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T21:18:01.626348Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.04605","snapshot_observed_at":"2026-07-13T21:18:01.626348Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.20723","last_updated":"2026-03-21T09:13:06Z","snapshot_observed_at":"2026-08-05T04:23:02.639514Z","submitted_at":"2026-03-21T09:13:06Z","title":"Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-13T21:18:01.626348Z"},"links":{"cited_paper":"/paper/2507.04605","citing_paper":"/paper/2603.20723"},"observation_digest":"sha256:2edc1c5bd8ea572d73d5d10de62e10aba4d399436a1960aa3064f4d97fd03ea9","observation_id":"2807107a-3a71-4fc8-8f4d-169024e3c248","resolution":{"observed_at":"2026-07-13T21:18:01.626348Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.04605/citation-record","integrity":"/paper/2507.04605/integrity","json":"/paper/2507.04605/citation-record.json","paper":"/paper/2507.04605"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.18208","last_updated":"2024-04-08T14:12:33Z","snapshot_observed_at":"2026-08-10T10:57:48.724470Z","submitted_at":"2024-02-28T09:59:31Z","title":"Shorts on the Rise: Assessing the Effects of YouTube Shorts on Long-Form Video Content","version":2},"cited_work":{"arxiv_id":"2402.18208","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.18208","snapshot_observed_at":"2026-08-06T19:49:52.235707Z","title":"Shorts on the Rise: Assessing the Effects of YouTube Shorts on Long-Form Video Content","venue":"cs.SI","work_id":"9cfc9ecf-1aa2-471e-a798-bd928469bc9e","year":2024},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:48.396826Z"},"links":{"cited_paper":"/paper/2402.18208","citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:d3e6e0d7e6d1b2b036024a77ed73ce6ba1ce2674c65dd69dcaac0fedff09ee00","observation_id":"cfe6d92a-46b5-4694-aaae-967bfbca885a","resolution":{"observed_at":"2026-08-06T19:49:52.377070Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:57.471725Z","title":"Aubin, C., Liedke, J.: Social Media and News Fact Sheet","venue":null,"work_id":"8c0bd0c3-b288-4dce-8951-35a02d4a70eb","year":2024},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:48.479704Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:bcb9bb0e28b1a684b8d6c0e76229e7f1ea54ef23ae8b3e3993ea39aed1435dfb","observation_id":"6c0686d4-1051-45a7-9100-138d73ee334e","resolution":{"observed_at":"2026-08-06T19:49:57.598499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00454","last_updated":"2024-03-01T11:20:54Z","snapshot_observed_at":"2026-08-09T18:45:25.985470Z","submitted_at":"2024-03-01T11:20:54Z","title":"Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trends","version":1},"cited_work":{"arxiv_id":"2403.00454","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.00454","snapshot_observed_at":"2026-08-06T19:49:52.002659Z","title":"Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trends","venue":"cs.SI","work_id":"315924f1-6a5f-4a45-b2c3-6244cb467910","year":2024},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:48.586458Z"},"links":{"cited_paper":"/paper/2403.00454","citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:86e92f9eef55103292742db27f2cb8cec03b92301d376880df404a25b74a7fba","observation_id":"cd5ed153-e938-4e1d-823f-40ba2d703f30","resolution":{"observed_at":"2026-08-06T19:49:52.103230Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:57.093842Z","title":"Michigan Journal of International Law 45(1), 93–154 (2024)","venue":null,"work_id":"f87d5454-9b21-4c81-9205-5248015f2c19","year":2024},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:48.700880Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:1ecf6737568d0d0bd35addba38146f4350891a25505972f8061266f06c653c69","observation_id":"76cecbdc-2851-4184-bed0-787dc673074c","resolution":{"observed_at":"2026-08-06T19:49:57.264914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:56.835938Z","title":"The New York Times","venue":null,"work_id":"cc0c2bd4-38c2-46c6-9039-0db58f1c08f6","year":2024},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:48.841989Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:a0a8bbed66146e9edb90a33d7b13ed241350520109d5b373c94fa401d99137de","observation_id":"487a1af9-68ce-4651-a480-d360ca856a14","resolution":{"observed_at":"2026-08-06T19:49:56.936874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:56.621637Z","title":"In: Boratto, L., Faralli, S., Marras, M., Stilo, G","venue":null,"work_id":"77c1030e-2b27-4f29-894e-d3d1a588f757","year":2021},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:48.908836Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:4303aa5f2c01f5739456c661c7d96b1fa383074a655e25ef3e78fa9653dac6e2","observation_id":"f4150697-2a1c-4ae7-84c6-b69d49ca4b33","resolution":{"observed_at":"2026-08-06T19:49:56.725836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:56.488538Z","title":"Applied Network Science 10(1), 1–38 (2025)","venue":null,"work_id":"416355e7-f0a5-46b9-b8e5-32cfcf03c318","year":2025},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:48.972469Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:298c65c5f89f8007845ba43888cc59adb93f28459f402b1c51760807094c9fa0","observation_id":"9ddea253-a28f-4b72-8abe-07c0b27e2535","resolution":{"observed_at":"2026-08-06T19:49:56.556214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:56.186402Z","title":"In: Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, pp","venue":null,"work_id":"abc0fbca-c79b-4479-ac37-308d395e08c9","year":2024},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:49.043944Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:326cca7e555d6b45de2e4d293fb1f0d50f33a281b982442e1625cb6a6ff182e5","observation_id":"731f249e-25c0-4175-a215-7aa45475d1d0","resolution":{"observed_at":"2026-08-06T19:49:56.343390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:55.929928Z","title":"In: Cherifi, H., Rocha, L.M., Cherifi, C., Donduran, M","venue":null,"work_id":"f9d4d5af-12f6-4efe-adfa-1df996cfdeeb","year":2024},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:49.119768Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:f316ac6b0801e5fcb888fd38125884b585cd6b669aaf50ed045803b5ed3c549b","observation_id":"a84a49c5-70b7-494e-98db-a883e7dbdf7c","resolution":{"observed_at":"2026-08-06T19:49:56.040158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:55.714483Z","title":"Social Network Analysis and Mining 14(1), 1–42 (2024)","venue":null,"work_id":"341635f7-53e0-4b01-b4c9-e93712741577","year":2024},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:49.179013Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:e0d42d64c8bb8e8eb413542e46651662f37aec9d858965c9c6e6131a9984959d","observation_id":"54832680-f034-4a8b-b616-2ee5461a0764","resolution":{"observed_at":"2026-08-06T19:49:55.830256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:55.526688Z","title":null,"venue":null,"work_id":"caa74efd-87ba-4e20-8781-27e78e8dab63","year":2022},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:49.233810Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:e854c6f2433864632e6a49caa52789a6ea3ad9e60455d9d785a3540cabb93780","observation_id":"696d067b-6dc0-4218-931a-62062582071c","resolution":{"observed_at":"2026-08-06T19:49:55.628096Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:55.272207Z","title":"In: International Confer- ence on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, pp","venue":null,"work_id":"cc6970d6-6555-4a60-9c7f-1421c6fb8649","year":2024},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:49.276526Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:89a281b9d3d0abc1b63f556f36f6a248a8606624bfd85488d81333a27e402c83","observation_id":"8bc735ed-7835-463b-bab8-a9184b4c0848","resolution":{"observed_at":"2026-08-06T19:49:55.418412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:55.039032Z","title":null,"venue":null,"work_id":"04711dcc-eb7b-4ef3-bead-81538a8328ec","year":2024},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:49.400147Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:d29494f8357d9672f0e45b1b20e1765e26243c4f9a0049432b076c36d57a4d3c","observation_id":"4e2adc83-f9e2-481c-85bd-f0d5caa3d656","resolution":{"observed_at":"2026-08-06T19:49:55.169596Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:54.701313Z","title":"In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, pp","venue":null,"work_id":"f1fb2ca2-400e-41d8-9452-4ce52ba5b0d4","year":2023},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:49.539978Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:d7903c82be35508e829f024678e19db85f0762648717ed2d2a4ef50423f76eeb","observation_id":"95a07760-3eed-41c5-8dd5-92a94c2fdfa0","resolution":{"observed_at":"2026-08-06T19:49:54.853686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:54.409969Z","title":"PBS News","venue":null,"work_id":"2d22d7a8-9e08-4fc5-8dee-a8895005e6dc","year":2024},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:49.678787Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:0448cb2834b0df7838cc9700ee0778cb6c0bb70b5d9936e512ca64e7aaff00bf","observation_id":"8c4ddf98-234a-45b9-9ea5-6fdbffe0884e","resolution":{"observed_at":"2026-08-06T19:49:54.547854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:54.040913Z","title":"https://www.atlanticcouncil.org/ programs/digital-forensic-research-lab/","venue":null,"work_id":"e465a168-5a57-4ae1-b500-68508f1f69e5","year":2025},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:49.819997Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:6d855c1747be8314124d4dd1bf1dec13eb00b9595095394b60725561d22c39e1","observation_id":"6877582d-bc72-43c9-8a06-d61e123eb042","resolution":{"observed_at":"2026-08-06T19:49:54.186039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:53.737691Z","title":"https://cil.nus.edu.sg/research/ocean-law-policy/south-china-sea/","venue":null,"work_id":"bc2a5e8b-fcb7-4629-bf3b-8d5dbe402ff6","year":2025},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:49.900556Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:e187e6d30a045af574c2e58c40d152475f0e297f162345cac0ca328574f90539","observation_id":"3f9c4391-91c0-4c4f-9bd5-87d161f38594","resolution":{"observed_at":"2026-08-06T19:49:53.883733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:53.482007Z","title":"https://entreresource.com/ youtube-video-categories-full-list-explained-and-which-you-should-use/","venue":null,"work_id":"dce4f28c-2160-4b2e-9d74-d075e445ce75","year":2023},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:49.983169Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:d87580369b4d988c51470fd52ed700882a53088a011ad230c3fcd47db22963a8","observation_id":"f2a8c268-42be-4441-a11c-9730ac9fe79f","resolution":{"observed_at":"2026-08-06T19:49:53.542065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:53.230183Z","title":null,"venue":null,"work_id":"028f1286-69cf-4da3-bb79-aaefb64e05b9","year":2024},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:50.108566Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:0a094b470f5d2d3dc9d9e95b1507faf0db2f9c6e28ab51847ff85bdb4044cd2a","observation_id":"d4f329be-8613-4652-b5ae-a322a7898ca7","resolution":{"observed_at":"2026-08-06T19:49:53.367756Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:50.192703Z","title":"In: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:50.192703Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:12d68c865424e11b0146848ba54313ed717cd66bd920bb480cb141e813543896","observation_id":"de1c937f-43bb-4605-8920-f5d434531d65","resolution":{"observed_at":"2026-08-06T19:49:50.192703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:50.346123Z","title":"In: 2024 IEEE Interna- tional Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:50.346123Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:a27f79b8f7cb6eda56067a36b6e06c66b96e8ea5492f21001753a36442a92f26","observation_id":"e4193ce1-6e8f-4f78-9660-d466e1a2f424","resolution":{"observed_at":"2026-08-06T19:49:50.346123Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.33533","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:51.544224Z","title":"IEEE Engineering Management Review 52(2), 153– 164 (2024) https://doi.org/10.1109/EMR.2024.3353338","venue":null,"work_id":"26a5c199-1bf8-4317-a212-875e2d7ca889","year":2024},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:50.458737Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:b306b0f6c15ce85f85da573b67b4f4e715c1e6fe6f033e77c6fbb41d8aa6583f","observation_id":"82f5b115-fc22-4d85-8338-6d8104ac6a25","resolution":{"observed_at":"2026-08-06T19:49:51.685753Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00547","last_updated":"2020-06-03T00:31:11Z","snapshot_observed_at":"2026-07-06T09:16:56.708811Z","submitted_at":"2020-05-01T18:00:02Z","title":"GoEmotions: A Dataset of Fine-Grained Emotions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.00547","snapshot_observed_at":"2026-08-06T19:49:50.539841Z","title":"https://arxiv.org/abs/2005.00547","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:50.539841Z"},"links":{"cited_paper":"/paper/2005.00547","citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:7625c1b98f482869317e73bd4b063a954af0baacf5fb3c9840896ccdc8355e8a","observation_id":"04181dfa-1c90-48d7-be89-56d08dfba3ba","resolution":{"observed_at":"2026-08-06T19:49:50.539841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.03957","last_updated":"2017-10-11T08:30:30Z","snapshot_observed_at":"2026-08-08T09:36:39.364938Z","submitted_at":"2017-10-11T08:30:30Z","title":"DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.03957","snapshot_observed_at":"2026-08-06T19:49:50.667870Z","title":"https://arxiv.org/abs/1710.03957","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:50.667870Z"},"links":{"cited_paper":"/paper/1710.03957","citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:315e81722b2f123bb7ee7acebb6bf59c5b2457dc9960364483d2a17ec826d4ad","observation_id":"da0a59a0-2026-418e-970d-ccf47725c810","resolution":{"observed_at":"2026-08-06T19:49:50.667870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:52.994398Z","title":"https://www.kaggle.com/datasets/bhavikjikadara/ bbc-news-articles","venue":null,"work_id":"cd1b322d-cae2-4d72-9a9d-83ac590806e9","year":2023},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:50.793542Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:b03e3ed652c23a2b347a9b7420407c64ed66bfb1c6cccdd72aa214f1c28c1342","observation_id":"851cfc17-cd93-4e7a-8512-f056f160a875","resolution":{"observed_at":"2026-08-06T19:49:53.116078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.11429","last_updated":"2022-10-06T20:43:53Z","snapshot_observed_at":"2026-08-10T12:52:33.143400Z","submitted_at":"2022-09-23T06:13:16Z","title":"News Category Dataset","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.11429","snapshot_observed_at":"2026-08-06T19:49:50.960554Z","title":"https://arxiv.org/abs/2209.11429","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:50.960554Z"},"links":{"cited_paper":"/paper/2209.11429","citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:df01b8c9328829ae040625d396f6b3967362c9a0abd120d0e24454a776deea2a","observation_id":"9eeb1a10-8378-41e7-b1a4-9b87148b4105","resolution":{"observed_at":"2026-08-06T19:49:50.960554Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:52.812816Z","title":null,"venue":null,"work_id":"07adbea6-378d-42c4-8c8f-a7fa7f9bd5bc","year":2016},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:51.057179Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:9c74aebd69f7c15275770f8e731d351bdce007bc47354a17fe3e964a0f2139eb","observation_id":"e7d7aeb0-d741-485e-974b-74e0bb9c38cd","resolution":{"observed_at":"2026-08-06T19:49:52.892989Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:49:52.527517Z","title":"In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp","venue":null,"work_id":"6da7c0e0-c458-4aa2-85d7-6f2b65955427","year":2015},"citing_paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T19:49:51.163643Z"},"links":{"citing_paper":"/paper/2507.04605"},"observation_digest":"sha256:13fe5a19fbe361229ecffba81a460820c2656432e89762e8718e037374f19d37","observation_id":"66663864-a3d0-4755-ab3f-88c1104c8189","resolution":{"observed_at":"2026-08-06T19:49:52.657024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.04605","last_updated":"2025-07-07T01:48:50Z","latest_version":1,"primary_category":"cs.SI","snapshot_observed_at":"2026-08-09T18:45:23.033225Z","submitted_at":"2025-07-07T01:48:50Z","title":"Investigating Algorithmic Bias in YouTube Shorts"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":9,"verified_exact":1,"verified_fuzzy":16},"total_outbound_references":28},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2507.04605."}