{"as_of":"2026-08-10T03:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:92804fbaf983c132332432c5192f4ba94a5995c84c77ab88ddd0c87d1352a3d0","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T21:57:09.197549Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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":"2026-05-21T06:09:37.781890Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-21T06:09:41.232647Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"cited_work":{"arxiv_id":"2502.15739","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.15739","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2502.15739 (2025)","venue":null,"work_id":"23eeef5f-babf-4a41-a0d9-a344212d770a","year":2025},"citing_paper":{"arxiv_id":"2605.20584","last_updated":"2026-05-20T00:41:58Z","snapshot_observed_at":"2026-07-06T23:31:08.671011Z","submitted_at":"2026-05-20T00:41:58Z","title":"QwenSafe: Multimodal Content Rating Description Identification via Preference-Aligned VLMs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-21T06:09:37.781890Z"},"links":{"cited_paper":"/paper/2502.15739","citing_paper":"/paper/2605.20584"},"observation_digest":"sha256:4d019e9d63ecbe056036284b5b17cc25fd055c43e24e1bbff7574131f279a066","observation_id":"b13c032d-f35f-4146-8673-0d482d3e0b85","resolution":{"observed_at":"2026-05-21T06:09:41.234325Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.15739/citation-record","integrity":"/paper/2502.15739/integrity","json":"/paper/2502.15739/citation-record.json","paper":"/paper/2502.15739"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T21:57:10.158335Z","title":"Number of smartphone users worldwide (bil- lions),","venue":null,"work_id":"2bd04a04-1f26-4b6e-a280-dca4ff8e8600","year":2024},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:08.990522Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:cb73fde27015334dd68a0a36b4465211feb63324809355a7e3e516996c8b4dd3","observation_id":"be61b48c-1a4c-415b-8ef0-f879c1fd07d2","resolution":{"observed_at":"2026-08-08T21:57:10.162791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:10.145524Z","title":"Identifying and analyzing the privacy of apps for kids,","venue":null,"work_id":"a23378e8-3f49-4aef-9dbd-ceb98d84e17a","year":2016},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:08.995610Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:de7792586adab48bbbbba52097714baede6f02f392429dcf35a4af81a4d909cc","observation_id":"c661a9d8-b69e-4ce8-91bf-59d06433fe4c","resolution":{"observed_at":"2026-08-08T21:57:10.149515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:10.132785Z","title":"The common sense census: Media use by tweens and teens,,","venue":null,"work_id":"47c5ff16-bbb6-4d95-b461-6cce44b8cd03","year":2019},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:08.999849Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:5faaf089d1d9a3547e6de28eb374b123b7fdcd8f13a866c6ed719ee14d059d48","observation_id":"2674ddf7-114d-48d1-ac64-7f33e15ca988","resolution":{"observed_at":"2026-08-08T21:57:10.137007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:10.120363Z","title":"Build teacher approved apps,","venue":null,"work_id":"308eb6cf-e971-47f5-8181-f071c490fde0","year":2024},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.004400Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:a59be328e8f58541189e50a72b67eacb599fd1dc2c9a64d3b88771c7f6ecec36","observation_id":"f7326fde-2df2-4b07-b79d-bd9a4cc6ab18","resolution":{"observed_at":"2026-08-08T21:57:10.124225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:10.108290Z","title":"Automatic content inspection and forensics for children Android apps,","venue":null,"work_id":"9d876755-02e3-41b1-86c8-e688c89c9e30","year":2020},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.008479Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:e8aed03e11c0c4b05d78371812824a4821eb3c0a4dbe1cab05cd1504e4efd5a6","observation_id":"84b9cab8-bd4c-4dbd-98ea-8c76dde3c4cb","resolution":{"observed_at":"2026-08-08T21:57:10.112249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:10.095912Z","title":"Qustodio releases 2023 annual report, born connected: The rise of the ai generation,","venue":null,"work_id":"e1462600-e9b7-4e8c-bcf5-3545a152b697","year":2023},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.012686Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:115c49cd8cefc0244124eeb6b11be76186cb3052fe749779303858c4fccbf159","observation_id":"4aa82813-9a3c-4260-a9a9-287374ccacca","resolution":{"observed_at":"2026-08-08T21:57:10.100146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:10.083309Z","title":"Not seen, not heard in the digital world! measuring privacy practices in children’s apps,","venue":null,"work_id":"14c11ef5-0db2-49b6-a716-f7d658d5de91","year":2023},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.017164Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:90eadf826eaaad8b32af96ed845c4fa77c0f170a6488f03dc2370ae4d367ad28","observation_id":"7d0986ed-c76a-4ff0-81f5-8e1f73c9b610","resolution":{"observed_at":"2026-08-08T21:57:10.087390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"answer/9859655","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T21:57:09.688022Z","title":"Developer content policy,","venue":null,"work_id":"cb4133bb-dd46-41ad-bc54-3d18ef9ea328","year":2024},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.021193Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:86398d3dc17c54c1b86681fe79c9779582df12732ed5ecbb04c5318eaea1b542","observation_id":"60bebc58-f4e2-459e-9703-42f7e659b9e2","resolution":{"observed_at":"2026-08-08T21:57:09.694772Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:10.070777Z","title":"Android’s latest statistics 2024: How many people have Androids?","venue":null,"work_id":"3991a51c-14bd-44b9-a6ea-e2aada5c7601","year":2024},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.025133Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:8cd0eac7d060c292d0750a2145b43ce6b8984b2fbd29aea59c96520264551160","observation_id":"0e785983-a19d-4009-aedd-82b2c1911cad","resolution":{"observed_at":"2026-08-08T21:57:10.074929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:10.058357Z","title":"Developer content policy,","venue":null,"work_id":"24cfe101-8b49-49a9-b2bb-574d444f5403","year":2024},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.029038Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:6b1bbb7109c162f6bde5213ce21ecd23da7cbbc6444608cc9013695c369c6088","observation_id":"791ea5a8-2da9-460d-9b17-e15f47ebfbc8","resolution":{"observed_at":"2026-08-08T21:57:10.062514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:10.045453Z","title":"Mobile apps for kids: Current privacy disclosures are disappointing,","venue":null,"work_id":"178f5804-be6d-4aeb-a306-4add85f248b9","year":2022},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.033009Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:18fd38edb9badc3ea2b09faa904d91e29bee9e0ac5dc85cfb1793a0a08fb6243","observation_id":"4ada29f3-3198-4c78-9344-90769cca9439","resolution":{"observed_at":"2026-08-08T21:57:10.049567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:10.031889Z","title":"Freely given consent? studying consent notice of third-party tracking and its violations of gdpr in Android apps,","venue":null,"work_id":"ad504790-f5bd-478b-bbe9-60bdcdb5c135","year":2022},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.037231Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:99432643f71b8f57c4f0c3683bec148f156e1d1697661cd427b26e3d149b6d09","observation_id":"74303a99-383d-433b-9436-18d774eaeeff","resolution":{"observed_at":"2026-08-08T21:57:10.036601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:10.018254Z","title":"Measuring user perception for detecting unexpected access to sensitive resource in mobile apps,","venue":null,"work_id":"65ae26ec-0d33-4f1c-86d7-9d0560bd33fa","year":2021},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.041167Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:94cba54e265dd66907edfc712adf6f7106f7f71cbbf5bd3d3aec0849eb5b089c","observation_id":"532cf98f-4017-4f92-9858-653b8059b026","resolution":{"observed_at":"2026-08-08T21:57:10.022429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:10.004902Z","title":"Protecting your children from inappropriate content in mobile apps: An automatic ma- turity rating framework,","venue":null,"work_id":"f86e438b-fabb-47e6-a136-d47946804af1","year":2015},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.044915Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:3330e9d6f30b440135cee56c895e2285c8679d31c93758f9e755fa9efc05b4cf","observation_id":"afc809ac-187d-4078-8ee7-399f21901be3","resolution":{"observed_at":"2026-08-08T21:57:10.009417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:09.992019Z","title":"Can apps play by the coppa rules?","venue":null,"work_id":"1b383841-1d2f-4bbb-b1ed-5f514745e64c","year":2014},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.048707Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:c4cbb3c7c97e94956fa533bdab3992442154d5e888870ec873705b117d775ff9","observation_id":"c62fd509-f7b8-46ec-ac21-1bebc57e86d3","resolution":{"observed_at":"2026-08-08T21:57:09.996010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:09.978533Z","title":"Is this app safe for children? a comparison study of maturity ratings on Android and iOS applications,","venue":null,"work_id":"aaf552bf-48dc-4bba-a031-e4b5688e778f","year":2013},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.052449Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:0845c280b88611c0a0f65cc37a60122683738d4346d6b8fc62c2b07f999b6d86","observation_id":"45ba0d86-21d0-4f38-817b-03be0465c5e3","resolution":{"observed_at":"2026-08-08T21:57:09.982959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:09.965410Z","title":"Automatic maturity rating for Android apps,","venue":null,"work_id":"8f863b45-5bf0-4159-bd37-9b1639785140","year":2022},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.056281Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:82fa20c1f8e3c6c04a0ffd084c2957326acc08e320eeabd813bc0071766af11f","observation_id":"a17c38ed-8445-404d-8133-25f9e4d34ced","resolution":{"observed_at":"2026-08-08T21:57:09.969653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:09.060148Z","title":"A simple framework for contrastive learning of visual representations,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.060148Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:c3a02a0c8ce22f80142b81561303c9329ea0efc15073ce75b07691786662a090","observation_id":"d53f8190-b0b8-4faa-b527-52b71abc7e60","resolution":{"observed_at":"2026-08-08T21:57:09.060148Z","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":"2026-08-08T21:57:09.063998Z","title":"Barlow twins: Self-supervised learning via redundancy reduction,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.063998Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:836bacf22e517e6b43c8371d22fbbc68b7e6a6c68aa00d830a06be194405d831","observation_id":"60de22ce-259a-4dcd-9f1a-3b4866b6acf5","resolution":{"observed_at":"2026-08-08T21:57:09.063998Z","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":"2026-08-08T21:57:09.067982Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.067982Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:2379ccb5bbf166af9f63427bf1107e6787b5ac6050201f8a03160b6156951187","observation_id":"9311a117-d8b4-4048-9188-34576e174b72","resolution":{"observed_at":"2026-08-08T21:57:09.067982Z","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":"2026-08-08T21:57:09.072214Z","title":"Scaling up visual and vision-language representation learning with noisy text supervision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.072214Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:ee29c5b6831f1365bb824bf1dab8eb76491090eb3a8bc2adccc8fa3ca8dd8e2a","observation_id":"0817026c-a783-486c-8eb4-5ea8b9a096fb","resolution":{"observed_at":"2026-08-08T21:57:09.072214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-07-06T06:49:24.960992Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-08T21:57:09.076385Z","title":"Representation learning with contrastive predictive coding,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.076385Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:6afa53362da2db3f44e9f103b91c40d0ebf7bb395aca53d55587b4b5e04a9a2b","observation_id":"c09244ad-6a20-4005-b336-b5f9481e517b","resolution":{"observed_at":"2026-08-08T21:57:09.076385Z","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":"2026-08-08T21:57:09.081463Z","title":"Lit: Zero-shot transfer with locked-image text tuning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.081463Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:4c76894f274edb8e87410bcb4c691256803e31eb9145819b27704b9ddeb073cd","observation_id":"d45b6b90-dcce-4e3b-8985-f3034349b218","resolution":{"observed_at":"2026-08-08T21:57:09.081463Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.11097","last_updated":"2021-06-21T13:30:33Z","snapshot_observed_at":"2026-08-10T01:47:37.707753Z","submitted_at":"2021-06-21T13:30:33Z","title":"CLIP2Video: Mastering Video-Text Retrieval via Image CLIP","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.11097","snapshot_observed_at":"2026-08-08T21:57:09.085648Z","title":"Clip2video: Mastering video- text retrieval via image clip,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.085648Z"},"links":{"cited_paper":"/paper/2106.11097","citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:feff16aca519829b90d2afbbfd1affc0115a126d126e7f8a1b423f0523f2161d","observation_id":"e210b03a-5f04-4acf-8706-2e12d001248a","resolution":{"observed_at":"2026-08-08T21:57:09.085648Z","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":"2026-08-08T21:57:09.910774Z","title":"A straightforward framework for video retrieval using clip,","venue":null,"work_id":"fb8ac633-6905-48eb-b3ee-f427a74c27ab","year":2021},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.090491Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:aa0c76427d75157d9ec8884a3df5f6f8e93a5ee3085e73059aee6c1fb1fb7959","observation_id":"12390c12-1b0e-467a-ad47-407d3b484eab","resolution":{"observed_at":"2026-08-08T21:57:09.915189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10741","last_updated":"2022-03-08T18:18:49Z","snapshot_observed_at":"2026-08-07T12:21:17.790675Z","submitted_at":"2021-12-20T18:42:55Z","title":"GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10741","snapshot_observed_at":"2026-08-08T21:57:09.094751Z","title":"Glide: Towards photorealistic image gen- eration and editing with text-guided diffusion models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.094751Z"},"links":{"cited_paper":"/paper/2112.10741","citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:d6f257b7b31c6a42a7a047c8fc33a7d34e19091b924d06f7240aef77b8ab45a1","observation_id":"4fae1c83-a41d-4cc4-9277-e800bb531892","resolution":{"observed_at":"2026-08-08T21:57:09.094751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17315","last_updated":"2024-03-25T07:51:14Z","snapshot_observed_at":"2026-07-06T16:54:10.590804Z","submitted_at":"2023-11-29T02:10:31Z","title":"Explaining CLIP's performance disparities on data from blind/low vision users","version":3},"cited_work":{"arxiv_id":"2311.17315","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.17315","snapshot_observed_at":"2026-08-08T21:57:09.507480Z","title":"Explaining CLIP's performance disparities on data from blind/low vision users","venue":"cs.CV","work_id":"ab778bf8-7556-46c8-a0a0-1d52f30daa33","year":2023},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.099052Z"},"links":{"cited_paper":"/paper/2311.17315","citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:60bc5475f192e7a97c19090acf5edf80bb1fc9ffe9515e2739a1de784449a9c1","observation_id":"4c9ac336-dd89-409b-93ae-25b3b3038071","resolution":{"observed_at":"2026-08-08T21:57:09.512055Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.02818","last_updated":"2021-08-05T19:05:57Z","snapshot_observed_at":"2026-08-09T20:10:30.354625Z","submitted_at":"2021-08-05T19:05:57Z","title":"Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.02818","snapshot_observed_at":"2026-08-08T21:57:09.104016Z","title":"Evaluating clip: towards characterization of broader capabilities and downstream implications,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.104016Z"},"links":{"cited_paper":"/paper/2108.02818","citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:f8c04271cd2ad9b77327e22d6144c3c7849022ede0f256c1e627a3acf062ba6c","observation_id":"78a346d0-ddee-4761-b2b5-033aa1c51182","resolution":{"observed_at":"2026-08-08T21:57:09.104016Z","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":"2026-08-08T21:57:09.897280Z","title":"Stable bias: Evaluating societal representations in diffusion models,","venue":null,"work_id":"925ce319-70cd-49d6-90c1-239fb741f89a","year":2024},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.108509Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:94c717341e82227e03d056d63f3095dd4d86831db7541e902acc3ba456a56f67","observation_id":"4dd7be8e-c358-4c5d-bdfc-5df896540ffe","resolution":{"observed_at":"2026-08-08T21:57:09.901375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:09.883901Z","title":"Masked siamese networks for label-efficient learning,","venue":null,"work_id":"ab56a23b-8822-4b17-9d10-abb07ee02f11","year":2022},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.113039Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:7d51f446b9a76d0dd398ec9cf4ce87af88b52d26fc8eef6c34282b1a41f7064b","observation_id":"205fa742-16ef-4963-a549-0fea986cf1db","resolution":{"observed_at":"2026-08-08T21:57:09.888431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:09.116954Z","title":"Masked au- toencoders are scalable vision learners,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.116954Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:45fe07b37146aa44ce3a65769f00c1f22cf72145b4ddb01b9193e4d3986e8f0e","observation_id":"c7b84287-d2f2-44a5-9916-ac95393aaafb","resolution":{"observed_at":"2026-08-08T21:57:09.116954Z","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":"2026-08-08T21:57:09.120868Z","title":"Microsoft coco: Common objects in context,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.120868Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:9e734e67ea2fef75fc8a267f8fcbc9fb1b161158e5472d4e087e57d3b835c726","observation_id":"3cf92be3-52f6-4231-9533-a65cf2f85e19","resolution":{"observed_at":"2026-08-08T21:57:09.120868Z","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":"2026-08-08T21:57:09.853927Z","title":"From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions,","venue":null,"work_id":"3cbb1afa-6932-4088-9cc4-aa9eb2ade494","year":2014},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.125020Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:9844b62331de2928c2725d8dea9bdbe3fc93ad3cd268aee0221e7406e10cad4a","observation_id":"040412a5-73da-4e8b-8ca1-529054bee3a4","resolution":{"observed_at":"2026-08-08T21:57:09.858225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:09.128849Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.128849Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:f6e99e59128dbd709eb51e24613efe90fc9bb54c41abd85760435a7e01b7adac","observation_id":"e29b8176-394d-4196-9714-858e15460ede","resolution":{"observed_at":"2026-08-08T21:57:09.128849Z","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":"2026-08-08T21:57:09.832633Z","title":"Sigmoid loss for language image pre-training,","venue":null,"work_id":"f42385b5-1372-4df4-a16f-6903b3a4e679","year":2023},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.132689Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:401efbfeafdc96060d675857912c3edffe0d1194fbfc13721532de3e5eb70483","observation_id":"0e31ad9a-7c78-4970-99a9-d6f28193fce6","resolution":{"observed_at":"2026-08-08T21:57:09.837071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:09.819036Z","title":"Unified contrastive learning in image-text-label space,","venue":null,"work_id":"417d4971-402a-4275-a96f-cc3d1b92d235","year":2022},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.136694Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:2650a90d6980d977a1b93f87b11c9fbd22a41ecc9257ac6c5b73e2d2c7d31599","observation_id":"e00bb5fa-8b2b-412c-b98e-2d15cfa195cb","resolution":{"observed_at":"2026-08-08T21:57:09.823442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:09.804834Z","title":"Early detection of spam mobile apps,","venue":null,"work_id":"a2e88276-8746-4b66-beb6-8a4c332bbcd7","year":2015},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.140563Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:6c693c1313b08e5d96bab7191aca4ec545f0fff979036d3c071d16e41bf61f51","observation_id":"a551d8ee-62c1-4973-b2d3-b4d7add0da13","resolution":{"observed_at":"2026-08-08T21:57:09.809137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:09.791961Z","title":"A multi-modal neural embeddings approach for detecting mobile counterfeit apps,","venue":null,"work_id":"375faa64-ecda-4106-ad92-54445507a804","year":2019},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.144294Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:5ac26c6fae4f41b87ea29efa2189a0840c98b718d931b4d00e69cdae5903a7b7","observation_id":"8f13554d-d7dd-430b-80b0-b7a7947a7cb8","resolution":{"observed_at":"2026-08-08T21:57:09.796146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-08T21:57:09.148228Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.148228Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:9a910e8033b5838fc26b4da1d4a66f208a3fffe9d2b9ecc59707cf2baa9eda0e","observation_id":"754f8b82-6fe1-41ff-ba0d-d881fe291429","resolution":{"observed_at":"2026-08-08T21:57:09.148228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1608.03983","last_updated":"2017-05-03T16:28:09Z","snapshot_observed_at":"2026-07-06T05:06:55.589962Z","submitted_at":"2016-08-13T13:46:05Z","title":"SGDR: Stochastic Gradient Descent with Warm Restarts","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1608.03983","snapshot_observed_at":"2026-08-08T21:57:09.152232Z","title":"Sgdr: Stochastic gradient descent with warm restarts,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.152232Z"},"links":{"cited_paper":"/paper/1608.03983","citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:40da460b519b87f45535232584f178b1c5cba49aa2467c1c8de40b17784cb283","observation_id":"9eb49491-2c00-4d41-8e0d-cf41b4db615e","resolution":{"observed_at":"2026-08-08T21:57:09.152232Z","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":"2026-08-08T21:57:09.156256Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.156256Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:f95f7cb64c94191345401d08598e05a5e685de7d85268ac74037e7e1fb94152e","observation_id":"4823a8cc-5e69-47e8-9298-5297193dcc7c","resolution":{"observed_at":"2026-08-08T21:57:09.156256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-10T01:12:16.468283Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-08T21:57:09.160060Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.160060Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:ee855ff04d37738fbd58cbc41b2a0a4f03d0ab9c43aaed05e5899d06f61ce850","observation_id":"b415036f-cb92-4c9d-904d-8c725b40f35a","resolution":{"observed_at":"2026-08-08T21:57:09.160060Z","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":"2026-08-08T21:57:09.164265Z","title":"Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.164265Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:c97c37152c9a9628faba5243f200e39c9c8e14faf1eb05b831514e4033ee8718","observation_id":"e4f8e4e4-78bc-41b8-af9c-71bb9da172c2","resolution":{"observed_at":"2026-08-08T21:57:09.164265Z","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":"2026-08-08T21:57:09.761977Z","title":"A multiscale visualization of attention in the transformer model,","venue":null,"work_id":"4875f445-3c7c-45ee-9892-4ab3a0f2cbe8","year":2019},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.168315Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:69d7f5073f594b6d6a976d4a19a2eb76581c7e56d985b000eec6b1520b19587e","observation_id":"46bb0f07-260b-4ae2-bca6-6be5801634d3","resolution":{"observed_at":"2026-08-08T21:57:09.766126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"answer/9867159","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T21:57:09.434345Z","title":"Manage target audience and app content settings","venue":null,"work_id":"3e7ecf90-bd37-4b0e-8d70-51211777b282","year":null},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.172368Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:ec880963b3eefca1f3abe09a1be9edd468f6dbc322e90a5117cf74314d77bbd1","observation_id":"069c4533-63e0-421b-9e94-a23983c2c110","resolution":{"observed_at":"2026-08-08T21:57:09.441285Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.14565","last_updated":"2026-04-06T04:57:28Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-07-19T03:26:40Z","title":"Detecting and Characterising Mobile App Metamorphosis in Google Play Store","version":2},"cited_work":{"arxiv_id":"2407.14565","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.14565","snapshot_observed_at":"2026-08-08T21:57:09.232080Z","title":"Detecting and Characterising Mobile App Metamorphosis in Google Play Store","venue":"cs.SE","work_id":"dc1384db-48ce-48c2-8a47-ca872eded4c3","year":2024},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.176720Z"},"links":{"cited_paper":"/paper/2407.14565","citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:f95d28051e7ed2d68cc4058d1808c3697c99aec3617df2da8dce03848d2092c7","observation_id":"ba5cd3f1-3193-41bf-a2a8-4bbc6076f1e7","resolution":{"observed_at":"2026-08-08T21:57:09.238901Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:09.748767Z","title":"How we fought bad apps and bad actors in 2023,","venue":null,"work_id":"10ebdf2b-fb0d-4b50-a84e-4776d7bc2b70","year":2023},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.181153Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:599c0236b253c60fbca47d54c42db28fb7a2d0cb48338c589b116bf447cb8553","observation_id":"2783ec70-da1e-48a6-bd75-6c4133484536","resolution":{"observed_at":"2026-08-08T21:57:09.752965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:09.735419Z","title":"A multi-modal neural embeddings approach for detecting mobile counterfeit apps: A case study on Google Play store,","venue":null,"work_id":"45468358-5207-42cf-abeb-393fb704766b","year":2020},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.185122Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:4aba1a47acf80a35fa95eacc2843196ceacb3899784658dffd89de539cb65518","observation_id":"ce08d975-b65a-40fa-bb91-8881e503d5d7","resolution":{"observed_at":"2026-08-08T21:57:09.739796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:09.722424Z","title":"Comparing apples to Androids: Discovery, retrieval, and matching of and Android apps for cross-platform analyses,","venue":null,"work_id":"887dda0e-49ab-4923-865b-31f4863535d0","year":2024},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.189253Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:39b040af6bf6b2e494312fea6338d0959d880d716d9bb6a599b1cac1bf119b7c","observation_id":"87ceff84-91df-4fb8-b7c4-bd55c8b70f0b","resolution":{"observed_at":"2026-08-08T21:57:09.726777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T21:57:09.197549Z","title":null,"venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.197549Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:68af2060fe8f4afbf5db9f3f64ff4a24b7ec726d15b12077f68ce4e1bed7bed7","observation_id":"7f816192-1126-4368-beb4-19429cc17108","resolution":{"observed_at":"2026-08-08T21:57:09.197549Z","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":"2026-08-08T21:57:09.193547Z","title":"Before moving into research, he worked nearly six years in the telecommunications industry in core network plan- ning and operations","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-08T21:57:09.193547Z"},"links":{"citing_paper":"/paper/2502.15739"},"observation_digest":"sha256:67e1732b10bd4140a0b66f62bf01ca514a6d0b4ae39c09385224bfca7dcca97b","observation_id":"014a89c0-bf1c-43b8-a63b-d50d281192e5","resolution":{"observed_at":"2026-08-08T21:57:09.193547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.15739","last_updated":"2025-02-07T06:21:43Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T21:49:23.871635Z","submitted_at":"2025-02-07T06:21:43Z","title":"Detecting Content Rating Violations in Android Applications: A Vision-Language Approach"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":4,"verified_fuzzy":28},"total_outbound_references":51},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2502.15739."}