{"as_of":"2026-08-18T03:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ec2d5c4a21b16d8cb06825ebb7c4dafe57ee683368e0d44e652323c9239dda8a","coverage":[{"denominator":128,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-08T13:50:54.083165Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2607.06196/citation-record","integrity":"/paper/2607.06196/integrity","json":"/paper/2607.06196/citation-record.json","paper":"/paper/2607.06196"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2025.naacl-long.490","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"4c43d7b5-debc-4ffd-bd43-0b4b070be331","year":2025},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:c4535a96fbfbe0a6e02076f4e878b79ccf70a2e977394961bf5a0627e7ce5780","observation_id":"332a8f07-26d6-43de-bfc7-a388cd60dd44","resolution":{"observed_at":"2026-07-08T13:54:58.189176Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-07-11T01:49:30.209492+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T01:49:30.209492+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.055454Z","title":"Whose View of Safety? A Deep","venue":null,"work_id":"54fbe68d-7d9d-48d7-906f-0bf475160e71","year":2025},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:9974ed2ff4b10a7fdc0b78a2a346ae815afa7453684859698d7045d1d97cc31d","observation_id":"a9eda1e0-6144-434b-89a8-6d59c40dc1bf","resolution":{"observed_at":"2026-07-08T13:54:59.056547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.058704Z","title":"2023 , eprint=","venue":null,"work_id":"d7b0cfdc-fcf9-46ed-8c7d-83b39057065f","year":2023},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:f7cab4072d1069f0e3e01c4df04aae3b3a131f3b74a8d69dbacec49847b35a85","observation_id":"95c3975f-dc7c-4326-a386-96462424a087","resolution":{"observed_at":"2026-07-08T13:54:59.059880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.065624Z","title":"Transactions on Machine Learning Research , year =","venue":null,"work_id":"99ed0bcf-f86d-4830-98f7-6dc303c83e1c","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:835153323439b5b1842a29223c124fc5ff51c8808aa5c97699dfdac996a280eb","observation_id":"2077a78a-f8a1-4f2f-84e4-27439d0e2d91","resolution":{"observed_at":"2026-07-08T13:54:59.066880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.147104Z","title":"Pfohl and Alicia Parrish and Tian Huey Teh and Roma Patel and Mark Diaz and Ding Wang and Michela Paganini and Vinodkumar Prabhakaran and Lora Aroyo and Verena Rieser , title =","venue":null,"work_id":"43c098df-4303-402e-ab7e-2bc4b208f1a5","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:01c1d42207946582da9e8a2d4f310fd9a51383d98d26fbc941a5d9ad6b038528","observation_id":"ab8b3c8e-5b67-41e2-b9ce-42d6e2931f47","resolution":{"observed_at":"2026-07-08T13:54:59.148456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.032306Z","title":"Transactions on Machine Learning Research , year =","venue":null,"work_id":"ee5e566b-c9f5-406d-a291-12820a3bdb14","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:7a1607baf675e4accf79ae24f3733d0bd360905fcc1b79fdb896773a5086070a","observation_id":"c5b98e04-59fb-458e-9ed7-9b59fabb50a4","resolution":{"observed_at":"2026-07-08T13:54:59.033347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.035313Z","title":"Transactions on Machine Learning Research , year =","venue":null,"work_id":"5bddb47b-fe3b-493a-b5de-75691bb29f04","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:22ad05e8f0ea1becd5e547dd535eef5b29b5ef6c70b2e391c9daf49a4b610d3a","observation_id":"331e520f-8475-45cb-8edb-0c95d28a2bec","resolution":{"observed_at":"2026-07-08T13:54:59.036354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.052095Z","title":"Edelman and Zhaowei Zhang and Mario G","venue":null,"work_id":"0e20133e-055b-4563-ac92-effcb018e0c7","year":2024},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:16798258010f24dbe4e50574a73c63184cd13bf9d91627f98f5a1be7f32caf47","observation_id":"51cf11a4-fe51-4e95-9020-a039a6b2715c","resolution":{"observed_at":"2026-07-08T13:54:59.053247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.19262","last_updated":"2026-04-21T09:21:46Z","snapshot_observed_at":"2026-07-06T23:05:58.167533Z","submitted_at":"2026-04-21T09:21:46Z","title":"CulturALL: Benchmarking Multilingual and Multicultural Competence of LLMs on Grounded Tasks","version":1},"cited_work":{"arxiv_id":"2604.19262","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.19262","snapshot_observed_at":"2026-07-08T13:54:58.580221Z","title":"CulturALL: Benchmarking Multilingual and Multicultural Competence of LLMs on Grounded Tasks","venue":"cs.CL","work_id":"f203e831-9553-4900-947c-cdd3d6ef1466","year":2026},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"cited_paper":"/paper/2604.19262","citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:bdd467b4b35acc09b960a32737477bd1c0f5086d13bdca2c554283d3de5fa23a","observation_id":"5c6f5cf6-4563-4359-9ba6-b74767a19075","resolution":{"observed_at":"2026-07-08T13:54:58.581645Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.05662","last_updated":"2026-05-07T04:35:03Z","snapshot_observed_at":"2026-07-06T23:18:17.333660Z","submitted_at":"2026-05-07T04:35:03Z","title":"XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity","version":1},"cited_work":{"arxiv_id":"2605.05662","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.05662","snapshot_observed_at":"2026-07-08T13:54:58.570766Z","title":"XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity","venue":"cs.CL","work_id":"9e488fe1-2a88-4583-bc38-adcebb19fff7","year":2026},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"cited_paper":"/paper/2605.05662","citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:f8f4ff6103f45e47e6884499df598129bd3a481cbf0d9314a01117cee5ad440c","observation_id":"5eff0d84-8bb4-44a8-84b4-500bee956eef","resolution":{"observed_at":"2026-07-08T13:54:58.572152Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.013891Z","title":"International Conference on Learning Representations (ICLR) , year=","venue":null,"work_id":"2ec71136-0943-4a6b-8747-6e0bb9bd3c39","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:9fdeab9f77171ed2db7b9e164e16d06b2c0b739451dbfb15a3734a0740a916f1","observation_id":"d56ec7e4-72e6-471d-942a-4df20347f28a","resolution":{"observed_at":"2026-07-08T13:54:59.015029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.015598Z","title":"2026 , eprint=","venue":null,"work_id":"3b8aa2c0-fb59-4fc5-aeee-6046d836b95a","year":2026},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:d98181554dd19fed33ec810f490fe69c81d4f9c6f89f6b28a4079f3b49bbf6c1","observation_id":"adf06903-3165-4de4-8450-73ae17e41b3f","resolution":{"observed_at":"2026-07-08T13:54:59.016613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.020784Z","title":null,"venue":null,"work_id":"deb9e92d-c083-4335-a4d6-32082732fc21","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:0b328ab63c440e8517a0c824b06ee937f8614288af2cc1a9bf44c016f5d19abf","observation_id":"01b02d96-4707-434b-adb4-145fb65e73ec","resolution":{"observed_at":"2026-07-08T13:54:59.021867Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.14972","doi":"10.48550/arxiv.2505.14972","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2025 , eprint=","venue":"ArXiv.org","work_id":"92388ce4-6ef4-474d-b920-7ac7c325bb00","year":2025},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:e684c8cb19047b8e6e9d5d21ca4fcb926294bc1cde53069caa75580c34fb4fda","observation_id":"606a675c-bcac-4bfc-b205-0c0aefa48bf4","resolution":{"observed_at":"2026-07-08T13:54:58.590618Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.007638Z","title":"2025 , eprint=","venue":null,"work_id":"114ac900-29ec-46a2-862f-1138a118be04","year":2025},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:1e06a527c72abbe17e083ef717d9e801e3771d273672ac8aa1af7e94d65d42b9","observation_id":"8238dbd2-f26d-494f-b453-94063142d708","resolution":{"observed_at":"2026-07-08T13:54:59.009603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.001028Z","title":"2026 , month =","venue":null,"work_id":"3e533e16-2ed0-461f-846a-d58f3ed6920c","year":2026},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:ae912a72dbfda82384de4fe6be56bd279492bf9236b265b57cca197074886bfc","observation_id":"4c9fc425-cbec-4f0a-ae34-d241a832a06e","resolution":{"observed_at":"2026-07-08T13:54:59.002151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:58.999191Z","title":"and Khiu, Eric and Do","venue":null,"work_id":"71d7b1f9-346f-4bef-8c8f-58fa1f4a03a7","year":2025},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:aded2a986c36eb5a4ebc64bcd664a496caa91fb8da396ea9514f010a34ee2cf9","observation_id":"9de3d732-3805-499d-aeb9-2c53f033501c","resolution":{"observed_at":"2026-07-08T13:54:59.000418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:58.993036Z","title":"and Lin, Ke and Kairis, Katherine and Turner, Carlisle and Levin, Lori , booktitle=","venue":null,"work_id":"047973b6-2897-4461-972b-cea159542def","year":2017},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:55658b306771c2901eb5ec0c447f3d4595bde629dc0902bf0fd58ff78974d997","observation_id":"fcdeb06e-e9e8-43f7-b7bd-a8b1103e5882","resolution":{"observed_at":"2026-07-08T13:54:58.994394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.053775Z","title":"Computational Linguistics , volume=","venue":null,"work_id":"0d6a8ee7-5b66-4296-9377-0795d3691266","year":2026},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:6fac735801dace85e8ce978a26a7cfa5e89700820916b3c422bdb5adddf44df1","observation_id":"008fdf3d-e6fc-46d7-8664-48614d0e10f5","resolution":{"observed_at":"2026-07-08T13:54:59.054881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.025632Z","title":"Science Advances , volume=","venue":null,"work_id":"eb8a1b7d-1564-4a28-9d8c-eb705898f841","year":2023},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:3e4767e7010d9a96c61f1ff9772c2e41effc75de6dbffbde86bce5b607fce9fa","observation_id":"126c587a-c91a-44ca-ac26-9d602672efb7","resolution":{"observed_at":"2026-07-08T13:54:59.026789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.11175","last_updated":"2018-04-12T17:03:44Z","snapshot_observed_at":"2026-08-14T19:31:00.623029Z","submitted_at":"2018-03-29T17:43:03Z","title":"Universal Sentence Encoder","version":2},"cited_work":{"arxiv_id":"1803.11175","doi":"10.48550/arxiv.1803.11175","metadata_source":"pith","pith_arxiv_id":"1803.11175","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Universal Sentence Encoder","venue":"cs.CL","work_id":"50757662-45a8-4e4f-a34b-35de8c783c56","year":2018},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"cited_paper":"/paper/1803.11175","citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:6db0c76c3a55ee12586245d80786b48d1d65aa26492601f57bea2ef59b2749fb","observation_id":"3ee18401-837d-40ed-b87e-9954367cb730","resolution":{"observed_at":"2026-07-08T13:54:58.579022Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.045253Z","title":"Journal of Machine Learning Research , volume=","venue":null,"work_id":"a248e700-9c92-4207-9125-f51d51b207f7","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:57714b5b8c85964f8736c88cf6301aa277f069ddafc10a8ae99a5fa4a508007d","observation_id":"08c000fa-a05e-4164-ac9a-215fdd864b28","resolution":{"observed_at":"2026-07-08T13:54:59.046465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.142017Z","title":null,"venue":null,"work_id":"04cd7ceb-fcda-47ee-b7a1-c666754d9328","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:65d593f1c698931de5141ef41016e07d877ce2844f6b16128058ed27f863d669","observation_id":"95abc42a-a7eb-4dbd-b767-733b233f370c","resolution":{"observed_at":"2026-07-08T13:54:59.143121Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.140457Z","title":"Sentence-","venue":null,"work_id":"e3263546-fb11-415a-bab8-600b601b673c","year":2019},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:dbaf8dc1c78ad53b8469adaa25ae901474a81afef53be726f91b9620d7e1cef2","observation_id":"bf84f4c9-c250-4a2a-9a0e-3c92158f8cb3","resolution":{"observed_at":"2026-07-08T13:54:59.141488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.143668Z","title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=","venue":null,"work_id":"ba65875d-c8d4-416d-b9bf-f363b4e3f39a","year":2020},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:7a4af654f7177ec71ab962c053aef52960b2b0794d34813fa8a83754e8aff3cf","observation_id":"aa986fc9-2c4f-422d-9d06-dead7fe3a4e3","resolution":{"observed_at":"2026-07-08T13:54:59.144859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.145430Z","title":null,"venue":null,"work_id":"3f0403d9-9340-4bc9-af39-5aab8b2dab71","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:0d0c14587041ed41c8d401e82e335ff4cbc4a20894f8126937aba7ccc4e398f0","observation_id":"b271e783-4166-4b7e-beae-8f3c3436ad61","resolution":{"observed_at":"2026-07-08T13:54:59.146550Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.149016Z","title":null,"venue":null,"work_id":"c1cbd0b9-8472-4b61-8fcf-82fb84ed7a0b","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:1a915c41271c8d7fa9132ce9f5a3f032fe4fc15da8969c37e0b2ce858b4b5d08","observation_id":"01537959-3531-47bc-8f1e-5bc2ae00cc1c","resolution":{"observed_at":"2026-07-08T13:54:59.150207Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.132220Z","title":null,"venue":null,"work_id":"5b9b4335-62ff-4995-bd61-ea343c951ad9","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:e1cf1d58e555c5335cd07a4c85a1273fe99d72bc03c36a675562f57223b8ddd3","observation_id":"72ec8d15-58fd-4d5f-8024-218a0e14d646","resolution":{"observed_at":"2026-07-08T13:54:59.133219Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.130619Z","title":null,"venue":null,"work_id":"a9fbf635-caf3-4b96-8cf0-f721fb8241a7","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:a58d44c00347a37c2a5561754e4185f37bedd515dd629fe08c49c39047ef2e09","observation_id":"495074b1-0753-4473-829c-1d5e6d6d37ae","resolution":{"observed_at":"2026-07-08T13:54:59.131693Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.133757Z","title":null,"venue":null,"work_id":"3a879f50-04e8-4ee7-8e05-720704dab268","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:af80ee35ae0017dca2c141ee9cfef8b48f8009626228633a408bd8c3ab95ec6e","observation_id":"a821b7de-ceed-4c3d-9f11-de6f2c3dd523","resolution":{"observed_at":"2026-07-08T13:54:59.134871Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.135466Z","title":null,"venue":null,"work_id":"e323581c-c4e8-4853-84ab-cfd527960385","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:258aaa97c1a9bff4cca3bc15c53492054149a4f18ef3fa5924b378bc1bf458b1","observation_id":"93e0ce78-39a5-4a1a-90bf-42b90e4715d7","resolution":{"observed_at":"2026-07-08T13:54:59.136587Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.127157Z","title":"Journal of Personality and Social Psychology , volume=","venue":null,"work_id":"4846a517-f317-41b3-be47-5d376240eae7","year":2009},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:1d5a3ad8a6d938d86f40a01a38598733e4220538a54228807ef4fec673f16dfe","observation_id":"bdd16b90-ef71-4156-b2a5-66adc3182c6f","resolution":{"observed_at":"2026-07-08T13:54:59.128309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.125595Z","title":null,"venue":null,"work_id":"3ffe0a6e-5b17-4d84-bcce-e01e745baf36","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:82f83037c3708fe3b8f5b9838040020fcefb0649955420d5b7dbd1669002cd75","observation_id":"1b5bf58a-5782-4d41-9e54-1a1157be5682","resolution":{"observed_at":"2026-07-08T13:54:59.126636Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.128875Z","title":"Online Readings in Psychology and Culture , volume=","venue":null,"work_id":"bd03ed67-7336-4fc9-8d3f-e4452a8eb95f","year":2012},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:22157988f86d47cb98ebdb634389c4e94669b0d04b5f59ef768184016ea984c7","observation_id":"b08805b9-aa5b-41f3-9e52-69c4ed4953e6","resolution":{"observed_at":"2026-07-08T13:54:59.130024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.137145Z","title":null,"venue":null,"work_id":"2e973121-7bc8-4c93-8d3d-db141468a169","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:4a2f1720f2eab66129b4c07a931dfa05f2163e52e4a194a6d34e2c6ba0eb4193","observation_id":"2296bc7c-2567-4c95-9eb3-3040e0df7c84","resolution":{"observed_at":"2026-07-08T13:54:59.138182Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.150763Z","title":null,"venue":null,"work_id":"774d15d4-9de7-4504-91e2-483f764c7729","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:502b296c81f76645519638998fd5b1cca5b5ba39ab4f8d3e101c69103183a635","observation_id":"50a7a26c-4d3d-4e0c-87f5-714864258fe3","resolution":{"observed_at":"2026-07-08T13:54:59.151795Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.120508Z","title":"First Conference on Language Modeling (COLM) , year=","venue":null,"work_id":"58e1f91f-08bf-49da-b440-cd024105f859","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:2343091c308e1a11852b11adc149c05cca381153754576cec3b9a80968fb5d67","observation_id":"011812a8-8a65-429b-9bb2-ff74e4240359","resolution":{"observed_at":"2026-07-08T13:54:59.121626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.118839Z","title":null,"venue":null,"work_id":"5210fb13-3cfb-4edd-a1d4-df0359307a74","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:a8c5d97415e3e18e5c73211f11cc481ae81d7d0f9fdd6ae41b8ca3dcf137d4c0","observation_id":"7e08e199-d0d7-4ad3-93a1-2bbb5388daba","resolution":{"observed_at":"2026-07-08T13:54:59.119932Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.122258Z","title":null,"venue":null,"work_id":"89b2ff41-b79b-4e4e-8097-c1cba3787e8c","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:32b42e0231f8b512f9fac65efa90a55766fc0d2efd100f9cacfb7c8f2740a0e0","observation_id":"b29209e2-0c33-450b-90c7-f608019b4b8b","resolution":{"observed_at":"2026-07-08T13:54:59.123400Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.123987Z","title":null,"venue":null,"work_id":"1e0e7717-7257-426d-9d7d-e8d2127c066f","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:220eff471297dad8b94e2c32c4f9254b4aac83e739b3d2e068ea71205f3d9ce6","observation_id":"6262ba67-55bc-46a4-bc9f-8750e8ede34e","resolution":{"observed_at":"2026-07-08T13:54:59.125006Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2024.emnlp-main.882","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards Measuring and Modeling ``Culture'' in LLM s: A Survey","venue":null,"work_id":"26c61d5c-9baa-4da7-b243-46bb902d5316","year":2024},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:1e77b6d390756e59a5bfdf4273d22efab309f74d5d58e40cb6d1bb65ee3f4749","observation_id":"b11d68a9-39a2-4082-a134-334998e39e9e","resolution":{"observed_at":"2026-07-08T13:54:58.199998Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T18:38:18.882613+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T18:38:18.882613+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-17T18:38:18.882613+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.152342Z","title":"Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL) , pages=","venue":null,"work_id":"cf0b8e9f-d023-45d9-bdef-ab92f05cafaa","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:4f0938a49e0baca97a865b570152cda72b2f73e42fc0088525ce0e0359b2cfdf","observation_id":"d4022379-71df-4b88-b8c8-3d9e16c922ae","resolution":{"observed_at":"2026-07-08T13:54:59.153488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.093856Z","title":"Challenges and Strategies in Cross-Cultural","venue":null,"work_id":"f1d1a894-3b07-45c4-8a06-56f533ce5113","year":2022},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:e202e39e873d1042dba40ed4f046a1c4696479de4d512929484edb2d579909f1","observation_id":"e6116020-de71-42cd-9e7d-24f846af8e7c","resolution":{"observed_at":"2026-07-08T13:54:59.095134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.106659Z","title":", journal=","venue":null,"work_id":"87e66fb4-a166-4530-a8d2-41b842bc0e80","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:42b2d54bfd48645125f839465d72db1444615691894e498395e766fea98407ec","observation_id":"3255182e-6e53-46fa-bbc5-7ea12b073c46","resolution":{"observed_at":"2026-07-08T13:54:59.107723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.079365Z","title":"The Twelfth International Conference on Learning Representations (ICLR) , year=","venue":null,"work_id":"ad7c8950-0399-44e8-bf8d-dbfceb8c1961","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:2209058d6838f488d844fe757d0c0d0eea7ff6da2a38413737f52fa6e9e1740d","observation_id":"1da67040-329a-4805-a281-37a2ae93a37d","resolution":{"observed_at":"2026-07-08T13:54:59.080619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.075926Z","title":"Findings of the Association for Computational Linguistics: ACL 2024 , year=","venue":null,"work_id":"2be87305-744d-425e-9522-b9a9f8db1fb8","year":2024},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:55ff701c5b2af18ca3cdce844bc42963832d77a483febd6f1c3968d3202a726b","observation_id":"a6e0b2bf-1805-4a51-86f2-33160b19147b","resolution":{"observed_at":"2026-07-08T13:54:59.077127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.062112Z","title":"2026 , eprint=","venue":null,"work_id":"5ea9eafa-d177-4587-935b-0ac49d979f0e","year":2026},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:aa10ee66ef73d4789713fa06cbab9e9874fa8f26ee81981b0558bd0e526b16fa","observation_id":"231941b1-7cab-4195-910d-a4c92ed9022a","resolution":{"observed_at":"2026-07-08T13:54:59.063204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.077759Z","title":"2026 , eprint=","venue":null,"work_id":"7db0c9b8-e9d1-46ba-ab84-ccd3dfcba9e7","year":2026},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:b1a51e8c20610ef0b9cebcad511bafaa5633793d59ebe7970b8b934bc91435bf","observation_id":"7e14ce96-eddc-45d1-8102-9d8127ffa763","resolution":{"observed_at":"2026-07-08T13:54:59.078822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.081162Z","title":"2025 , eprint=","venue":null,"work_id":"0cc7b983-8c5f-48fc-847e-89dddfd9d800","year":2025},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:6f32465325467c92d00db0e292168bf26aa31efb4e48f6e500f462f211dca36f","observation_id":"ab3697e5-37e9-4c1f-bb8b-479456c56023","resolution":{"observed_at":"2026-07-08T13:54:59.082319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.071011Z","title":"2024 , doi=","venue":null,"work_id":"c6df6414-bf2a-407f-99a2-5b13fb634fd5","year":2024},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:c6738bba1a094bd4c444dcbb3cd5e286c7bf6e012b3acf88f310ce6bfd243849","observation_id":"e054807d-2f3e-424b-b668-0cc255a37ee4","resolution":{"observed_at":"2026-07-08T13:54:59.072147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.082933Z","title":null,"venue":null,"work_id":"e62a46bb-d937-42df-a789-5ca7c918eada","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:86ecc1e7007db69c61f92cab91f2d97f0832c03d733c0f357cd03397ac026358","observation_id":"c8471cd5-d3a3-4b3c-9d18-df0c9d2298f9","resolution":{"observed_at":"2026-07-08T13:54:59.084066Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.101152Z","title":"Findings of the Association for Computational Linguistics: NAACL 2025 , pages=","venue":null,"work_id":"93a05d3c-93bf-4317-981e-95ec81aec43a","year":2025},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:42891a0dc355584f182dbda396ac88eee22c13d615d5b2f97ee07ac92220ae5a","observation_id":"fc11d227-8da1-4fa4-91f2-3acf2c8b6b65","resolution":{"observed_at":"2026-07-08T13:54:59.102556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.097602Z","title":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=","venue":null,"work_id":"c70b53f7-b6dc-4f32-8720-ccc964e92b6b","year":2021},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:d00907ab6890226c9bc501b4e9db3884cfc8a4d10881fa4509a3163e3ad4c07d","observation_id":"4733ca1b-2b29-4bd4-a65f-639e5678217a","resolution":{"observed_at":"2026-07-08T13:54:59.098846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.036858Z","title":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=","venue":null,"work_id":"8ab085ba-d7f2-4fd9-a93a-83bfd9a45bda","year":2021},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:8998fe09717596db98106a5d4229139b030dad47b6f9c9dae0836922c90b1dbc","observation_id":"806efc63-d4a7-4750-9bc8-3fb87cfa67a6","resolution":{"observed_at":"2026-07-08T13:54:59.037942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.048747Z","title":"Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=","venue":null,"work_id":"3d739219-fd64-46fc-9429-adbe1114656c","year":2024},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:891a7731fb8f7c88e77820082f6a9949b3197569dc72e89168a35da52aff0301","observation_id":"c186014a-15c6-4e68-a0ba-568002bb498c","resolution":{"observed_at":"2026-07-08T13:54:59.049865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.060430Z","title":"and Zhang, Hao and Gonzalez, Joseph E","venue":null,"work_id":"33d0f443-76e5-44d5-bc09-40bdf3b39e22","year":2023},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:587bf70cc755ee3f98a1e046671edb18bbf782506aba81f85d0d4ed2b3c9693e","observation_id":"dcc41ace-b714-4dda-a94f-e136473050f6","resolution":{"observed_at":"2026-07-08T13:54:59.061558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:58.989479Z","title":"2023 , doi=","venue":null,"work_id":"42e7bfb0-c521-4d68-b96c-3332656bf80f","year":2023},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:9151810967beace3aef0d63d79fc94ec4178443c8701ee79a89cee73b1ff479a","observation_id":"0b2539e8-08be-4740-80db-4edf11068138","resolution":{"observed_at":"2026-07-08T13:54:58.990483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08491","last_updated":"2024-03-09T10:44:58Z","snapshot_observed_at":"2026-08-17T23:58:14.375298Z","submitted_at":"2023-10-12T16:50:08Z","title":"Prometheus: Inducing Fine-grained Evaluation Capability in Language Models","version":2},"cited_work":{"arxiv_id":"2310.08491","doi":"10.48550/arxiv.2310.08491","metadata_source":"pith","pith_arxiv_id":"2310.08491","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Prometheus: Inducing fine-grained evaluation capability in language models","venue":"cs.CL","work_id":"1a2ffbb6-db38-45ca-8c3b-8408254fb19b","year":2023},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"cited_paper":"/paper/2310.08491","citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:5dedd2e2be0acbdde8096b33386daf6d75bbf85334f46d5c392d81cdcbbc26b8","observation_id":"69e3c119-b99b-4b32-8e2e-921337077d59","resolution":{"observed_at":"2026-07-08T13:54:58.596612Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:58.995017Z","title":"Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=","venue":null,"work_id":"c2e5364f-5de9-4fd4-8f59-c7ca82cff1ca","year":2024},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:3a466a40d0672e794b52c7c59027ab23bf0a20ff3f3cb6f938b2de77fb10925d","observation_id":"6c97cc8c-c064-4579-94ff-7aa6c3aacc34","resolution":{"observed_at":"2026-07-08T13:54:58.996490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.005974Z","title":"Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL) , pages=","venue":null,"work_id":"3b32aced-9641-43f9-82d4-6535530fd955","year":2024},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:d684f63bff618f43c159371d273911cce1a4f056573c7bd977ae9600a6099ebf","observation_id":"af704cdd-eda6-4568-b963-21b103a75936","resolution":{"observed_at":"2026-07-08T13:54:59.007095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.027351Z","title":"and Feng, Shi , booktitle=","venue":null,"work_id":"abb00a00-e8c9-4442-8dda-4042f2046a32","year":2024},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:f493e02af673196eec5760138f44679ec571e2a9f3480a63a0d4279635baf079","observation_id":"2ad8863a-9b4c-4c11-82f7-5bdeb83e894d","resolution":{"observed_at":"2026-07-08T13:54:59.028397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2024.emnlp-main.451","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2024 , publisher=","venue":null,"work_id":"dcae8979-dc41-42c6-9300-947f6134a3ea","year":2024},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:55edf3690c7aec4bc741f3bf114fe3e0117aee9958f92aa45bd58247271f9931","observation_id":"b55fc90b-30ca-454a-8074-d8b87e2d4909","resolution":{"observed_at":"2026-07-08T13:54:58.187152Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-14T20:08:13.788983+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-14T20:08:13.788983+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:58.979864Z","title":"and Hadfield, Evan and Siddarth, Divya and Bali, Kalika and Sitaram, Sunayana , booktitle=","venue":null,"work_id":"750b3fd0-ffff-4404-8d26-b87105be3039","year":2026},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:f08c7375a71cfbbef427e764101242a5fe24bd46a8f0776572173ba50ae76cf2","observation_id":"3cb1064b-d08d-434a-9614-d9e3d2d0f4e3","resolution":{"observed_at":"2026-07-08T13:54:58.981006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.07875","last_updated":"2024-03-19T16:50:50Z","snapshot_observed_at":"2026-08-16T15:00:38.570579Z","submitted_at":"2023-09-14T17:23:37Z","title":"Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions","version":3},"cited_work":{"arxiv_id":"2309.07875","doi":"10.48550/arxiv.2309.07875","metadata_source":"pith","pith_arxiv_id":"2309.07875","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Safety-tuned llamas: Lessons from improving the safety of large language models that follow instructions","venue":"cs.CL","work_id":"4f3956ef-5c1a-4536-8f08-ab1c9a6ce6d5","year":2023},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"cited_paper":"/paper/2309.07875","citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:43f1cdefd7951ab02342086ffd9408f2b0601b7f732ec0e055771cd0f748907a","observation_id":"bca2b0c4-4d98-45d6-a230-caf2cc8163c6","resolution":{"observed_at":"2026-07-08T13:54:58.575486Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.00598","last_updated":"2025-06-11T03:14:28Z","snapshot_observed_at":"2026-08-17T04:34:36.439951Z","submitted_at":"2024-09-01T03:25:59Z","title":"Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models","version":2},"cited_work":{"arxiv_id":"2409.00598","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.00598","snapshot_observed_at":"2026-07-08T13:54:58.586248Z","title":"Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models","venue":"cs.CL","work_id":"c4b1c1f5-62a8-4ce0-91fc-48f2fae5f5aa","year":2024},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"cited_paper":"/paper/2409.00598","citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:b2f44dbb4095d1a4d14a6927e3289b1042ed251b747d51e4d9ac5b5b3022ef54","observation_id":"32161650-bd79-4f33-8b03-e244e9084edf","resolution":{"observed_at":"2026-07-08T13:54:58.587659Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:58.986359Z","title":"2025 , eprint=","venue":null,"work_id":"fb64dfee-8ab7-4d15-89bd-1dead536eab0","year":2025},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:70611d1820548936e1d293a51d520221311b1622170ce4ed08c41d0729d73e17","observation_id":"9486aa41-ec89-415a-8d26-cd03f2e43a58","resolution":{"observed_at":"2026-07-08T13:54:58.987385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.047001Z","title":"Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT) , pages=","venue":null,"work_id":"9b7faf7e-1072-4806-b0bd-341d61e57013","year":2022},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:49983a348eace369a6ae441d6e5a931517d161ff03d47ed990956a07c60c2f04","observation_id":"3578c354-a68e-4e65-a67b-a206b0c49346","resolution":{"observed_at":"2026-07-08T13:54:59.048211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.05862","last_updated":"2022-04-12T15:02:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-12T15:02:38Z","title":"Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback","version":1},"cited_work":{"arxiv_id":"2204.05862","doi":"10.1016/j.respol.2005.01.014","metadata_source":"pith","pith_arxiv_id":"2204.05862","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback","venue":"cs.CL","work_id":"a1f2574b-a899-4713-be60-c87ba332656c","year":2022},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"cited_paper":"/paper/2204.05862","citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:7c4799d06e249543b53ac94a821a6fe8adf749f556de86ae92f2d2b17f43b3a0","observation_id":"42328590-1600-45e5-b87e-43f56f61be1d","resolution":{"observed_at":"2026-07-08T13:54:58.611661Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:58.981544Z","title":"Constitutional","venue":null,"work_id":"4c18fb3d-8e26-4d8e-819d-5c7b9fe6bb5d","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:28017b51b93a2ffdaedfea226021b792bed31dc5d8cb888aae1cbc20be602f88","observation_id":"e3ffffc9-8a85-438f-b675-11d06e202da2","resolution":{"observed_at":"2026-07-08T13:54:58.982620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.07858","last_updated":"2022-11-22T19:12:57Z","snapshot_observed_at":"2026-08-17T08:35:42.452149Z","submitted_at":"2022-08-23T23:37:14Z","title":"Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned","version":2},"cited_work":{"arxiv_id":"2209.07858","doi":"10.1136/bcr-2013-201554","metadata_source":"pith","pith_arxiv_id":"2209.07858","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned","venue":"cs.CL","work_id":"1aabd84d-3779-4ba9-ba2f-15ce264a9b1e","year":2022},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"cited_paper":"/paper/2209.07858","citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:5d1530d8c57ed82e65c3ec410ec4691e7bb8b2df559a3fd6f8fdc99df0ed4e5d","observation_id":"2d24fae5-bfb2-40ce-af29-2e00f5d8f91e","resolution":{"observed_at":"2026-07-08T13:54:58.593792Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.099461Z","title":"AI Magazine , volume=","venue":null,"work_id":"66e44ed6-7977-4519-ab21-7a4de50958af","year":2015},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:a3bede264e6dde1f21b6c4fab6d517b2478b38a96827fbd81dcdc3fd85bad0d5","observation_id":"051f384a-0a71-4a7c-a0a3-024b525d167f","resolution":{"observed_at":"2026-07-08T13:54:59.100594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05070","last_updated":"2024-08-20T19:14:31Z","snapshot_observed_at":"2026-08-14T17:53:51.886327Z","submitted_at":"2024-02-07T18:21:17Z","title":"A Roadmap to Pluralistic Alignment","version":3},"cited_work":{"arxiv_id":"2402.05070","doi":"10.1371/journal.pone.0329179","metadata_source":"pith","pith_arxiv_id":"2402.05070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A Roadmap to Pluralistic Alignment","venue":"cs.AI","work_id":"667ba460-8f85-44de-abed-e988dbbf316b","year":2024},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"cited_paper":"/paper/2402.05070","citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:2df737798f74fbd84fb809a8dcaf2bc158e87cc1d44c25562d63c5f95e590ac3","observation_id":"cdefec6c-601d-4ce5-83bb-9542fe29b429","resolution":{"observed_at":"2026-07-08T13:54:58.606106Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.11247","last_updated":"2023-06-20T03:00:12Z","snapshot_observed_at":"2026-08-16T15:22:42.168838Z","submitted_at":"2023-06-20T03:00:12Z","title":"DICES Dataset: Diversity in Conversational AI Evaluation for Safety","version":1},"cited_work":{"arxiv_id":"2306.11247","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.11247","snapshot_observed_at":"2026-07-08T13:54:58.617068Z","title":"2306.11247 , archiveprefix =","venue":"cs.HC","work_id":"020353ba-834d-406b-90df-b8bc1eed1179","year":2023},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"cited_paper":"/paper/2306.11247","citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:cc4ab0912e5da7b6050d42fc94db6f0102beae28a8febeec213d60883f06e9ad","observation_id":"40aea393-ddd3-42da-a601-e4354a0d30e8","resolution":{"observed_at":"2026-07-08T13:54:58.618293Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.088492Z","title":"Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=","venue":null,"work_id":"d56aca80-7377-4fee-a4c5-8a6a1916bee0","year":2022},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:22e13325f6e2a3fd04b1d9061b2d4a60d7919ee156e40ff3d229735060d11160","observation_id":"d78ed855-47d4-468e-bb8e-69753b249300","resolution":{"observed_at":"2026-07-08T13:54:59.089702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.086710Z","title":"Transactions of the Association for Computational Linguistics , volume=","venue":null,"work_id":"8fa5e8b3-9970-47a7-8ce5-1519d7fe986b","year":2022},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:e188bf535c0c4ec19d787796c79c0b03c189f625f2a83180119559793f58a654","observation_id":"90100088-fd7e-4aa6-96f8-4d691b2871da","resolution":{"observed_at":"2026-07-08T13:54:59.087927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.084700Z","title":null,"venue":null,"work_id":"fbeb12f2-71fc-45dd-abb8-dacefc95a18e","year":2025},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:e11295598a8645412e9240ee0f6b8350e20490a32c07acdb08c752ad8f731f1d","observation_id":"c97af423-9cdf-4521-951b-46e9f54d727d","resolution":{"observed_at":"2026-07-08T13:54:59.086107Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.072748Z","title":null,"venue":null,"work_id":"5cc5b038-7bfa-4435-b7ec-810935a34182","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:eaa2ee722bef0ab26c74fe5d0028e0b6f2ba0d80fe55da08087fae8f12545faf","observation_id":"6515c0fc-8d5f-434c-a3f3-f9b324c7011b","resolution":{"observed_at":"2026-07-08T13:54:59.073824Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.069176Z","title":"CoRR , volume =","venue":null,"work_id":"27db6dd7-1625-4dd5-bfe5-b8460413a36d","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:267f1f6ccbc7cc35335075ee50fa42d0b333a286060419fa53deb2bb5c44828c","observation_id":"9c8843a9-ce27-4255-a48e-d97fc7ca21ef","resolution":{"observed_at":"2026-07-08T13:54:59.070198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2001.0174","doi":"10.1006/csla.2001.0174","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2001 , issn =","venue":"Computer Speech & Language","work_id":"ad5a46e1-a70d-4090-9f16-57d9d5b7e9e4","year":2001},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:3444c383fecd0d8b7e107239a62a583d1b60430ba07af62c7d3ae0b0015a3268","observation_id":"922b8106-44b6-4375-a9e9-7b83989b4041","resolution":{"observed_at":"2026-07-08T13:54:58.206051Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-07-11T01:49:31.308109+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T01:49:31.308109+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.074364Z","title":"CoRR , volume =","venue":null,"work_id":"858095b4-6834-4fdc-a65c-6fb9d2853d34","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:909e4e972968c49c2e2fdbd641380507bc620ab5bc837b6b0cf36143a27f09a3","observation_id":"8d8d8ecc-c9ed-4e52-91f2-ff9af9f1912e","resolution":{"observed_at":"2026-07-08T13:54:59.075416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.090322Z","title":"Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics , url =","venue":null,"work_id":"c5032a56-5112-4f1b-8327-928ebb6c20f1","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:70d0113c53d05fc3d8e1cddd68fd08b396fa06d79e06025a8ad94bd41db75068","observation_id":"ddacd14c-ba2a-4509-9d94-3067fb09e700","resolution":{"observed_at":"2026-07-08T13:54:59.091518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.095834Z","title":null,"venue":null,"work_id":"9362f40f-fd61-454f-af91-5e73dac4cf25","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:12afd5f5fa651d48dceebac0b853123d1097c208214a9e01a6c82f5a0daa77e7","observation_id":"6c5490ab-67c9-46c2-91dc-56141ed923cb","resolution":{"observed_at":"2026-07-08T13:54:59.097000Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.067442Z","title":null,"venue":null,"work_id":"020e4020-ff51-415e-855f-827e58cdfeeb","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:f73139b8ee76a6fe72ddf046e2ff34419ec8e18bfbb05f8d7715adc626d59076","observation_id":"db6e189d-3b87-4d27-b3df-5574e1cddb19","resolution":{"observed_at":"2026-07-08T13:54:59.068617Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.057102Z","title":null,"venue":null,"work_id":"68411eb1-5e73-4610-8e59-cd44601e07eb","year":null},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:3ed9c8b07e08f2ad340ca494e88cf49833240b3500aa1e14cc9d9cbb367fcf52","observation_id":"f193ba7d-5597-4963-989a-eb34f005840a","resolution":{"observed_at":"2026-07-08T13:54:59.058148Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.063759Z","title":"Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics , year=","venue":null,"work_id":"9306b400-b490-4512-91d9-cff8c184e224","year":2024},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:0070d91762c00c3df86867c6b66c82ac1528c579a93be9cdb088accc81786c3e","observation_id":"baf0d30f-72fb-4fc0-ad7f-5da14fdd4978","resolution":{"observed_at":"2026-07-08T13:54:59.064941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.092070Z","title":"2025 , organization=","venue":null,"work_id":"53085a9e-5176-495d-ba98-6f775f888644","year":2025},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:533b9bd3cab28cd2033ba9e806955ea2cef461906317f11f77125804c46da626","observation_id":"90a034bc-9e2e-49df-b5b6-7a64a4c0952c","resolution":{"observed_at":"2026-07-08T13:54:59.093236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12241","last_updated":"2024-05-13T20:46:10Z","snapshot_observed_at":"2026-08-16T13:59:43.819754Z","submitted_at":"2024-04-18T15:01:00Z","title":"Introducing v0.5 of the AI Safety Benchmark from MLCommons","version":2},"cited_work":{"arxiv_id":"2404.12241","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.12241","snapshot_observed_at":"2026-07-08T13:54:58.614474Z","title":"Introducing v0.5 of the AI safety benchmark from MLCommons","venue":"cs.CL","work_id":"cf3860a3-9e35-40de-aba0-115059ef292a","year":2024},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"cited_paper":"/paper/2404.12241","citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:8ebda02ea9a1494bda39af3ffb22ab94a2640dfea977ad8bb23843afcb554670","observation_id":"6e3228f3-0038-446b-a377-a6abc999f835","resolution":{"observed_at":"2026-07-08T13:54:58.615885Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.041780Z","title":"2025 , eprint=","venue":null,"work_id":"cc3067e1-e288-422e-89e1-9a15ae002638","year":2025},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:f2e0d44227830635e95bf836d531f25d5419990aa59d649056b8ea9ff7f3d743","observation_id":"12c87fc8-0def-444c-8311-ae088d48bcd4","resolution":{"observed_at":"2026-07-08T13:54:59.042901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.050477Z","title":"2006 , publisher =","venue":null,"work_id":"b3d98bc9-83b2-487f-8923-a4ddb7a87159","year":2006},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:355a9ce1cb677204774c799e6eef37129c8a3c0e39bf5e61fd1d5927f73b7502","observation_id":"f0996405-a9a8-40fe-a1d3-ac3ec68d727a","resolution":{"observed_at":"2026-07-08T13:54:59.051552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.038551Z","title":"2003 , publisher =","venue":null,"work_id":"a6ac07fa-4406-4874-92f7-25a53b59debe","year":2003},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:d5a4749a95641c3d20212bfb651a89de979e6d58a34e7abd328efb61ff21044f","observation_id":"224ceaa9-0237-4b8d-8e38-a862494bca1e","resolution":{"observed_at":"2026-07-08T13:54:59.039620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.040144Z","title":"2024 , note =","venue":null,"work_id":"7e2875d6-4646-47c0-a7c4-47f61c924cff","year":2024},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:fe2f7ec14d23d0e896ca327b2e19c9b5241b09a30d802637d25ba06eeef68982","observation_id":"0a762729-2699-4255-bd70-5fd5dee50aa1","resolution":{"observed_at":"2026-07-08T13:54:59.041210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.043473Z","title":"The new social theory reader , pages=","venue":null,"work_id":"1ff11802-5a8c-4cf9-84f2-047f908bd9c5","year":2020},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:087703493082d927f0e915a59f33b31b176056122e7967750fd1d68fe7768a65","observation_id":"4e63a866-d743-4c3f-be69-582263ae79c5","resolution":{"observed_at":"2026-07-08T13:54:59.044588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.029008Z","title":"2019 , publisher=","venue":null,"work_id":"669a1d94-31b8-4c57-8be8-6482a3b4e7a5","year":2019},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:71ce1c0e2a00c6d444b5582734d109f1c8deb2e3cb184040e9f3a38ff0c18aa9","observation_id":"307b081e-2537-46e0-a4f3-54e8a5d53007","resolution":{"observed_at":"2026-07-08T13:54:59.030223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.022426Z","title":"2017 , publisher=","venue":null,"work_id":"ae0632d9-29ca-48eb-ba93-01b4655a7ad4","year":2017},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:9b820011056861d18a6df2ac3e7dfb455680c2e7a2354516a779f45497939b26","observation_id":"cce862ef-1528-4a6f-89c9-f4c0cadf0277","resolution":{"observed_at":"2026-07-08T13:54:59.023456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.017163Z","title":"Social theory re-wired , pages=","venue":null,"work_id":"742c0123-c024-4db9-8885-645df0813213","year":2016},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:d2250d47dfdb2ff89eb50457e3b967ed8c5555e56fc1b8c271492a3e022df1b9","observation_id":"aabe2a78-36ee-413a-b3e5-8283aff3362f","resolution":{"observed_at":"2026-07-08T13:54:59.018284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.030805Z","title":"2014 , publisher=","venue":null,"work_id":"c1db6e90-03d2-45a9-aeee-0f1f7021dc04","year":2014},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:05bbfda7d2ff393d7cabb3857657af99f15cb98103559b5bf7fbeb7617b0d331","observation_id":"0329bc3d-95f4-4a81-aa86-8d86d2d70886","resolution":{"observed_at":"2026-07-08T13:54:59.031809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.002717Z","title":"2017 , publisher=","venue":null,"work_id":"d6e01245-28a2-4ec6-86de-1eb8a4d32005","year":2017},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:934c1f608930101959f807e9a5010c7315718f2f5b1cd68a09da982ad8e073f4","observation_id":"60e0be57-9d3b-4ae9-9372-72e23966d6aa","resolution":{"observed_at":"2026-07-08T13:54:59.003726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:59.011833Z","title":"1973 , publisher=","venue":null,"work_id":"47f2122c-f3e1-4715-9992-34b41134ffb4","year":1973},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:cb2cda29cd47fa8391cf2e98e3eed4f66e521972d46296359dd79428c7c9413f","observation_id":"2166da07-c808-437e-b57a-bc02b0c29f3b","resolution":{"observed_at":"2026-07-08T13:54:59.013269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:58.990988Z","title":"Psychiatry: Journal for the Study of Interpersonal Processes , volume=","venue":null,"work_id":"6eb57fd6-6370-48e7-aa65-0e501e5a48be","year":1955},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:e563edd996e9ca4a4430b7e50030d836e6a84421f045409778fb90b85ccfdbbd","observation_id":"f930f090-2675-4a31-b25e-4f9e42278bfc","resolution":{"observed_at":"2026-07-08T13:54:58.992236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-07-08T13:54:58.997350Z","title":"1960 , publisher=","venue":null,"work_id":"caf6194d-fb75-469b-a8e0-1d8d7e9b66a9","year":1960},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","version":1},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:6074bc7196fd5d508f22a373b64be716f538ddea939cefd99bd660f2b6408d7d","observation_id":"0923a57a-feb9-4a4e-8592-c6c293094aed","resolution":{"observed_at":"2026-07-08T13:54:58.998589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T22:21:31.721458Z","submitted_at":"2026-07-07T12:21:52Z","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":12,"parse_uncertain":0,"unresolved":20,"verified_exact":4,"verified_fuzzy":64},"total_outbound_references":128},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 100 of 128 outbound references and 0 inbound Pith citation observations for arXiv:2607.06196."}