{"as_of":"2026-08-07T08:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f2a8a52561037534353dedff054140f08dfd34911d5f222876a6f4bc54e5e8a0","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-16T16:23:29.564169Z","state":"measured"},{"denominator":96,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":96,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":84,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":84,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:41:14.542023Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T06:15:00.866473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2102.04664","last_updated":"2021-03-16T08:28:37Z","snapshot_observed_at":"2026-07-06T10:39:42.676631Z","submitted_at":"2021-02-09T06:16:25Z","title":"CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-15T11:40:02.535705Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2102.04664"},"observation_digest":"sha256:e75ca0883bff5022b4b16c07108525ba37889e446fc1af709493f1c038b29376","observation_id":"1ce8c267-261c-466e-8d30-c59fc29e2308","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2112.09118","last_updated":"2022-08-29T12:17:32Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-12-16T18:57:37Z","title":"Unsupervised Dense Information Retrieval with Contrastive Learning","version":4},"reference_index":125,"source":"arxiv_source","source_observed_at":"2026-05-12T13:21:16.921001Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2112.09118"},"observation_digest":"sha256:ef6dc7e93896d17aa4bdedc4118b9c8544eea88b76e43d3cde74392d801d0a54","observation_id":"fba326a3-e8ec-46b4-adce-a69924f940f9","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2305.16264","last_updated":"2025-06-28T00:00:06Z","snapshot_observed_at":"2026-07-06T15:33:27.761070Z","submitted_at":"2023-05-25T17:18:55Z","title":"Scaling Data-Constrained Language Models","version":5},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-18T01:35:21.150772Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2305.16264"},"observation_digest":"sha256:2d76e4fb19a56ce8af385ba1fdc985ad75b3886b5252abdfb9710de4f214a4bc","observation_id":"3a63c5cd-ae02-4d17-af36-7f5fe6137964","resolution":{"observed_at":"2026-05-18T01:35:21.591472Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2406.17557","last_updated":"2024-10-31T11:37:49Z","snapshot_observed_at":"2026-08-02T15:25:02.551919Z","submitted_at":"2024-06-25T13:50:56Z","title":"The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-13T04:36:45.363131Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2406.17557"},"observation_digest":"sha256:810efbff4e8f19edcd4c1bc56f8f68b042d4afc13db40b93229de3fa5a55c413","observation_id":"14b71a1b-dde4-4671-b524-bad34134979f","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2409.11022","last_updated":"2026-05-15T09:10:20Z","snapshot_observed_at":"2026-08-01T08:31:26.233271Z","submitted_at":"2024-09-17T09:32:12Z","title":"DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition","version":7},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-05-23T20:40:09.530799Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2409.11022"},"observation_digest":"sha256:b8e2096a68fcbaed8199465f2d8c7eb50b2c2c1e030cb2a39e2f179e71ca61d8","observation_id":"ffd0d762-053e-421f-ba57-66b067c0f1c1","resolution":{"observed_at":"2026-05-23T20:43:25.520951Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2411.05527","last_updated":"2026-05-04T11:38:18Z","snapshot_observed_at":"2026-07-06T19:47:25.840369Z","submitted_at":"2024-11-08T12:35:58Z","title":"How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP","version":3},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-23T17:36:18.451771Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2411.05527"},"observation_digest":"sha256:49acc4487ab2b7a4889aab50ca7cf2d013263b1e3ec8b61b99ed54637ad0b17e","observation_id":"5edfcd77-831d-452f-9ec7-33ed639414fd","resolution":{"observed_at":"2026-05-23T17:38:15.861379Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2412.04497","last_updated":"2026-04-17T14:43:11Z","snapshot_observed_at":"2026-08-03T01:36:22.644152Z","submitted_at":"2024-11-30T00:10:56Z","title":"Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research","version":5},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-23T16:36:02.895613Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2412.04497"},"observation_digest":"sha256:476686be9083d6a1e73b21300c8ce67ae129c4e2348ed92f210c439dc6ec958b","observation_id":"319e5e04-3b39-4f01-a3e8-e3180864b200","resolution":{"observed_at":"2026-05-23T16:38:11.451600Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2412.20760","last_updated":"2025-03-19T19:08:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-30T07:09:25Z","title":"Attributing Culture-Conditioned Generations to Pretraining Corpora","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-23T07:05:52.610830Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2412.20760"},"observation_digest":"sha256:d6d46e6096ba0f3465add2123975847df326af3ee00a953507d2cca7b372b51a","observation_id":"18bdd963-4d0e-45ff-8785-8270fd55cfd7","resolution":{"observed_at":"2026-05-23T07:07:41.659601Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2502.00414","last_updated":"2026-04-15T08:57:31Z","snapshot_observed_at":"2026-08-05T10:35:13.252356Z","submitted_at":"2025-02-01T12:26:11Z","title":"Social media polarization during conflict: Insights from an ideological stance dataset on Israel-Palestine Reddit comments","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-23T03:43:50.056703Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2502.00414"},"observation_digest":"sha256:a25dd8add2391398ac031579c5122b79bb018ace28f4bd5d246dcc3d4fa190ca","observation_id":"30f3dee5-5001-42f1-b3f0-4e92c585dc23","resolution":{"observed_at":"2026-05-23T03:45:21.648912Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2502.15972","last_updated":"2026-04-17T17:51:32Z","snapshot_observed_at":"2026-07-06T20:40:48.267387Z","submitted_at":"2025-02-21T22:19:56Z","title":"When Cultures Meet: Multicultural Text-to-Image Generation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-23T02:02:31.779344Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2502.15972"},"observation_digest":"sha256:0cc9e2452a1aed936787e0c39d8e36c64caf9f5964496a68aedc74bd00fa0720","observation_id":"a4b81bec-4a78-466e-a645-8acaad339a61","resolution":{"observed_at":"2026-05-23T02:05:19.585436Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2505.06111","last_updated":"2025-11-03T11:52:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-09T15:11:13Z","title":"UniVLA: Learning to Act Anywhere with Task-centric Latent Actions","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-12T15:28:06.883492Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2505.06111"},"observation_digest":"sha256:03b63a0ea1a87138aff23c09d0195986f3fb43d94b9b57b5236c7d3b9a2a5297","observation_id":"bc391c00-492a-403a-aa40-6e1fbe7112c7","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-07T05:41:14.542023Z","title":"Unsupervised cross-lingual representation learning at scale.ArXiv, abs/1911.02116, 2019","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2506.07463","last_updated":"2025-06-09T06:14:19Z","snapshot_observed_at":"2026-08-07T05:30:43.040489Z","submitted_at":"2025-06-09T06:14:19Z","title":"CCI4.0: A Bilingual Pretraining Dataset for Enhancing Reasoning in Large Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:41:14.542023Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2506.07463"},"observation_digest":"sha256:e29bc10a9971a747ad028050330fc4b6ecaa37f6bd51bced3dfd848597708451","observation_id":"2e138668-d626-46a3-9a64-3ba295c84ae2","resolution":{"observed_at":"2026-08-07T05:41:14.542023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-07T04:16:29.456163Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11243","last_updated":"2025-06-12T19:24:56Z","snapshot_observed_at":"2026-08-07T04:09:38.154134Z","submitted_at":"2025-06-12T19:24:56Z","title":"RETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation?","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T04:16:29.456163Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2506.11243"},"observation_digest":"sha256:169433c453c32c9fed6d6cfa57fe0a5a0e45c34a6b481d399c21993f6243a92e","observation_id":"d702fcd0-3b59-4e9d-8f51-e1283fa3bc16","resolution":{"observed_at":"2026-08-07T04:16:29.456163Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-07T04:44:02.812955Z","title":"arXiv preprint arXiv:1911.02116 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.12092","last_updated":"2025-06-11T14:50:49Z","snapshot_observed_at":"2026-08-07T04:37:22.687312Z","submitted_at":"2025-06-11T14:50:49Z","title":"Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T04:44:02.812955Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2506.12092"},"observation_digest":"sha256:db1e1e35ec2738f5c1a0e19bc39bc02d85eb17b9d1de45fae67bfb6377cf7cb5","observation_id":"77be9618-e129-4fc0-bc0f-7407405a26a7","resolution":{"observed_at":"2026-08-07T04:44:02.812955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-07T00:41:20.701170Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.12898","last_updated":"2025-06-15T16:01:20Z","snapshot_observed_at":"2026-08-07T00:34:17.345254Z","submitted_at":"2025-06-15T16:01:20Z","title":"JEBS: A Fine-grained Biomedical Lexical Simplification Task","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T00:41:20.701170Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2506.12898"},"observation_digest":"sha256:c1cf183048d2418dd4495309ea31337e81848f5f5424f728e3480f037bdc1540","observation_id":"1bf8f311-4dd9-4db8-9cd2-d47fe3a8b83b","resolution":{"observed_at":"2026-08-07T00:41:20.701170Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T23:14:38.484731Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.19187","last_updated":"2025-06-23T23:22:11Z","snapshot_observed_at":"2026-08-06T23:04:45.143717Z","submitted_at":"2025-06-23T23:22:11Z","title":"Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T23:14:38.484731Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2506.19187"},"observation_digest":"sha256:d87c4857aefdbec56075fbb33eb880ff1f65f425296ff8297d6ea5fc5238af75","observation_id":"4ba0ef40-89a5-4149-97f8-617057edc996","resolution":{"observed_at":"2026-08-06T23:14:38.484731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T22:59:23.114488Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.20203","last_updated":"2025-06-25T07:46:17Z","snapshot_observed_at":"2026-08-06T22:52:05.383248Z","submitted_at":"2025-06-25T07:46:17Z","title":"Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn't Help with MT Evaluation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T22:59:23.114488Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2506.20203"},"observation_digest":"sha256:5fcd3f1f0467a5441dedb207e29166b848098f1ad4d66bd38ec301cb542a8ebe","observation_id":"955af343-5ee2-40b4-8e27-7d2ef404afb7","resolution":{"observed_at":"2026-08-06T22:59:23.114488Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-07T04:51:45.334273Z","title":"Unsupervised cross-lingual representa- tion learning at scale,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2506.21557","last_updated":"2025-06-11T09:08:43Z","snapshot_observed_at":"2026-08-07T04:44:01.625128Z","submitted_at":"2025-06-11T09:08:43Z","title":"Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM Reasoning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T04:51:45.334273Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2506.21557"},"observation_digest":"sha256:3561403a8f0c2893f4a33c0392040045b49beeb647b810cd429dfb44ad62d8a7","observation_id":"4137a901-e798-440c-bc8b-dd54b1493efc","resolution":{"observed_at":"2026-08-07T04:51:45.334273Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T22:10:40.112203Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.22356","last_updated":"2025-06-27T16:08:39Z","snapshot_observed_at":"2026-08-06T22:03:29.024089Z","submitted_at":"2025-06-27T16:08:39Z","title":"HLTCOE at LiveRAG: GPT-Researcher using ColBERT retrieval","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T22:10:40.112203Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2506.22356"},"observation_digest":"sha256:32259efc380bca9f4444884936b4bbda2b6f23a99511a53f2bf41e29e9094881","observation_id":"a16efc8e-9f2f-4d93-a82c-a678da6bde99","resolution":{"observed_at":"2026-08-06T22:10:40.112203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T21:48:46.772341Z","title":"arXiv preprint arXiv:1911.02116","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2506.23394","last_updated":"2025-06-29T20:47:27Z","snapshot_observed_at":"2026-08-06T21:41:44.763190Z","submitted_at":"2025-06-29T20:47:27Z","title":"Teaching a Language Model to Speak the Language of Tools","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:48:46.772341Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2506.23394"},"observation_digest":"sha256:60cec6c09d1cd9edd42bf0c1be1611bd71a13b0c7f0e445481c485fccdbaca29","observation_id":"a9a0da89-892c-40bc-b1de-e41c06c0a6a2","resolution":{"observed_at":"2026-08-06T21:48:46.772341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T21:26:45.685725Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.00216","last_updated":"2025-06-30T19:37:51Z","snapshot_observed_at":"2026-08-06T21:19:01.110266Z","submitted_at":"2025-06-30T19:37:51Z","title":"Towards Style Alignment in Cross-Cultural Translation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:45.685725Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.00216"},"observation_digest":"sha256:5db270fbe39383c7896d939f20edcbba5cb062ecf32296c78d5da66bb7bf1c78","observation_id":"263404a0-2fd5-45d5-82d7-f4e199b7ee9b","resolution":{"observed_at":"2026-08-06T21:26:45.685725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T21:13:14.261722Z","title":"Unsupervised cross-lingual representation learn- ing at scale,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2507.00693","last_updated":"2025-07-01T11:45:23Z","snapshot_observed_at":"2026-08-06T21:06:52.968157Z","submitted_at":"2025-07-01T11:45:23Z","title":"Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T21:13:14.261722Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.00693"},"observation_digest":"sha256:647010ed04cc786b09545e626a3c5e6975b0cf888c0384f667a30c1964daf5b9","observation_id":"7f11147c-42df-4afb-b735-4f9f37bdc5dd","resolution":{"observed_at":"2026-08-06T21:13:14.261722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T20:45:12.389166Z","title":"Unsupervised cross- lingual representation learning at scale.arXiv preprint arXiv:1911.02116, 2019","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2507.01903","last_updated":"2025-08-05T16:19:40Z","snapshot_observed_at":"2026-08-06T20:38:04.040927Z","submitted_at":"2025-07-02T17:19:20Z","title":"AI4Research: A Survey of Artificial Intelligence for Scientific Research","version":2},"reference_index":147,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:12.389166Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.01903"},"observation_digest":"sha256:740baf6d88a31a94edf66407aa7ee75f4a00add3a361ff6d101ba1e687ea7d21","observation_id":"711ab5fc-3dd2-49f2-b776-1e3ec7c22bd3","resolution":{"observed_at":"2026-08-06T20:45:12.389166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T20:27:55.304413Z","title":"Unsupervised cross-lingual representation learning at scale,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2507.05271","last_updated":"2025-07-03T14:22:21Z","snapshot_observed_at":"2026-08-06T20:21:24.133530Z","submitted_at":"2025-07-03T14:22:21Z","title":"An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T20:27:55.304413Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.05271"},"observation_digest":"sha256:633cfde773fcb34d57b1bd229528460bd6a10e068da0a41e536012be4f2fc890","observation_id":"cc5b3d0d-5723-4ce3-9aea-6e465c1e93c4","resolution":{"observed_at":"2026-08-06T20:27:55.304413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T19:32:20.657644Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.05424","last_updated":"2025-07-07T19:13:20Z","snapshot_observed_at":"2026-08-06T19:24:27.181067Z","submitted_at":"2025-07-07T19:13:20Z","title":"\"Lost-in-the-Later\": Framework for Quantifying Contextual Grounding in Large Language Models","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T19:32:20.657644Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.05424"},"observation_digest":"sha256:7aa109d373edf59070e67bd08713ae6a224b361d6ec28aa2dc3e66ffc8e27783","observation_id":"77248194-2d23-491a-9685-fd644561d300","resolution":{"observed_at":"2026-08-06T19:32:20.657644Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T19:19:54.699174Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.05918","last_updated":"2025-07-08T12:03:04Z","snapshot_observed_at":"2026-08-06T19:12:49.838810Z","submitted_at":"2025-07-08T12:03:04Z","title":"Few-shot text-based emotion detection","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:54.699174Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.05918"},"observation_digest":"sha256:4a56ed242a73048f8dc4a16f2f9643cfaf748f73928035a28439a2e9ce5f6053","observation_id":"2ff4bd73-9ac7-4189-9fe0-bfcdf36fbbfd","resolution":{"observed_at":"2026-08-06T19:19:54.699174Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T18:26:50.729573Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.08325","last_updated":"2025-08-31T23:18:38Z","snapshot_observed_at":"2026-08-06T18:20:04.309675Z","submitted_at":"2025-07-11T05:31:35Z","title":"CRMAgent: A Multi-Agent LLM System for E-Commerce CRM Message Template Generation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T18:26:50.729573Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.08325"},"observation_digest":"sha256:68c46c81d33656874aa5cd8f71fea6240b24aec1afe92f9a13c2651aec8858b0","observation_id":"0267d7ef-9736-4659-8131-ea358b1d8a10","resolution":{"observed_at":"2026-08-06T18:26:50.729573Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T18:28:30.651872Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.08342","last_updated":"2025-07-11T06:44:52Z","snapshot_observed_at":"2026-08-06T18:18:33.076120Z","submitted_at":"2025-07-11T06:44:52Z","title":"Beyond N-Grams: Rethinking Evaluation Metrics and Strategies for Multilingual Abstractive Summarization","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T18:28:30.651872Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.08342"},"observation_digest":"sha256:c8196e845191fb5283ec30bae4943cb6a06c20975dc99a002a037c07caab93d5","observation_id":"16dcd3b2-59ca-4bb7-801a-10ae00be8c8b","resolution":{"observed_at":"2026-08-06T18:28:30.651872Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T17:21:31.557421Z","title":"Unsupervised cross-lingual representation learning at scale,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2507.11084","last_updated":"2025-07-15T08:26:58Z","snapshot_observed_at":"2026-08-06T17:14:23.885054Z","submitted_at":"2025-07-15T08:26:58Z","title":"Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T17:21:31.557421Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.11084"},"observation_digest":"sha256:c5442786034094789c228927ee9f8e77475ba9727161dc3bc01b8dd8d55a0e8d","observation_id":"331bd331-ba29-431c-9025-2eafee1518e9","resolution":{"observed_at":"2026-08-06T17:21:31.557421Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T17:11:31.819523Z","title":"& Stoyanov, V","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.11634","last_updated":"2025-07-15T18:13:25Z","snapshot_observed_at":"2026-08-06T17:03:15.059056Z","submitted_at":"2025-07-15T18:13:25Z","title":"Cross-lingual Few-shot Learning for Persian Sentiment Analysis with Incremental Adaptation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T17:11:31.819523Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.11634"},"observation_digest":"sha256:27b34b56133bb0419ac40b8e380daa66ff4d7a28bcf9202b843bc5ff4dcd7fc0","observation_id":"2cc0b186-6dbe-4246-9256-49d371105086","resolution":{"observed_at":"2026-08-06T17:11:31.819523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T17:04:34.129491Z","title":"Unsupervised cross-lingual representation learning at scale","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2507.12022","last_updated":"2025-07-16T08:30:30Z","snapshot_observed_at":"2026-08-06T16:53:31.563810Z","submitted_at":"2025-07-16T08:30:30Z","title":"Dataset Ownership Verification for Pre-trained Masked Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T17:04:34.129491Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.12022"},"observation_digest":"sha256:919bc568d9ffe47454e07d917d74215bf997e7a6e9702594352f5ffaf18e56f1","observation_id":"8cba4779-69bd-4125-86ef-749ccd2bdf8f","resolution":{"observed_at":"2026-08-06T17:04:34.129491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T17:05:08.410784Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.13395","last_updated":"2025-07-16T09:45:11Z","snapshot_observed_at":"2026-08-06T16:51:52.314928Z","submitted_at":"2025-07-16T09:45:11Z","title":"Mitigating Stylistic Biases of Machine Translation Systems via Monolingual Corpora Only","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T17:05:08.410784Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.13395"},"observation_digest":"sha256:8bbf44cfda38db55cea763285e01d963e1640c7eafb8178092c2c842330763a8","observation_id":"789bc92d-f399-4bfd-a813-34cb1d54d013","resolution":{"observed_at":"2026-08-06T17:05:08.410784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T16:36:24.236052Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.14239","last_updated":"2025-07-17T14:25:24Z","snapshot_observed_at":"2026-08-06T16:26:37.770038Z","submitted_at":"2025-07-17T14:25:24Z","title":"CCL-XCoT: An Efficient Cross-Lingual Knowledge Transfer Method for Mitigating Hallucination Generation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T16:36:24.236052Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.14239"},"observation_digest":"sha256:8549fedd02237b110fc24af61b1c9bacb342eb344e3113efe1fe6777f94a5f29","observation_id":"e93bf61d-6276-43c8-b697-7115e9680ef2","resolution":{"observed_at":"2026-08-06T16:36:24.236052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T15:27:10.338486Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.15823","last_updated":"2025-07-21T17:30:38Z","snapshot_observed_at":"2026-08-06T15:20:11.077559Z","submitted_at":"2025-07-21T17:30:38Z","title":"Operationalizing AI for Good: Spotlight on Deployment and Integration of AI Models in Humanitarian Work","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T15:27:10.338486Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.15823"},"observation_digest":"sha256:d5ca8ffc706e09c0df7f71d0014fd1fbca869f5ac0b3e9a57fa1d7060a332fff","observation_id":"15d5d4a0-da4b-4097-bf2f-21451620e272","resolution":{"observed_at":"2026-08-06T15:27:10.338486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T15:22:31.420580Z","title":"Unsu- pervised cross-lingual representation learning at scale,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2507.16164","last_updated":"2025-07-22T02:20:00Z","snapshot_observed_at":"2026-08-06T15:14:28.915671Z","submitted_at":"2025-07-22T02:20:00Z","title":"Attacking interpretable NLP systems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T15:22:31.420580Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.16164"},"observation_digest":"sha256:f5fa2d280e1a3a97e2205a6a8dc97201cbcb70eedc66e66e0e7beccd5c23d74b","observation_id":"d850fea9-9cdf-4b1e-8d93-6d538f2dcacf","resolution":{"observed_at":"2026-08-06T15:22:31.420580Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-06T12:08:22.145470Z","title":"Unsupervised cross-lingual representation learning at scale","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2507.22062","last_updated":"2025-08-01T06:40:13Z","snapshot_observed_at":"2026-08-06T12:08:20.848892Z","submitted_at":"2025-07-29T17:59:58Z","title":"Meta CLIP 2: A Worldwide Scaling Recipe","version":3},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-06T12:08:22.145470Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2507.22062"},"observation_digest":"sha256:bfd7cbcca1a648880933d0ca540ffac07956cb0d13eb5b279eb8c12df3bd2bad","observation_id":"1b915d3e-10f0-470c-b0f5-1145895b90ee","resolution":{"observed_at":"2026-08-06T12:08:22.145470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2508.01486","last_updated":"2026-04-19T08:43:46Z","snapshot_observed_at":"2026-08-02T18:54:29.901751Z","submitted_at":"2025-08-02T20:42:37Z","title":"Human-Centered Supervision for Sentiment Analysis in Telugu: A Systematic Inquiry Beyond Accuracy","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-19T00:55:50.492277Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2508.01486"},"observation_digest":"sha256:032a6ac614d50c73ef23a31a85a2730e7a9c169ee1a4a114598a91c672a8b2d7","observation_id":"6dd07211-10ce-4363-b6c5-4854141c649d","resolution":{"observed_at":"2026-05-19T00:56:56.233613Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-05T21:12:01.248598Z","title":"Unsupervised cross-lingual representation learn- ing at scale","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2508.09372","last_updated":"2025-08-12T21:59:53Z","snapshot_observed_at":"2026-08-05T21:11:59.738825Z","submitted_at":"2025-08-12T21:59:53Z","title":"A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T21:12:01.248598Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2508.09372"},"observation_digest":"sha256:fd64f4843b89d804dfc005cf95f2da09682d858297cca0320c1a865d93c19d92","observation_id":"52a7b759-98d9-41bd-afe8-4a14c37784d7","resolution":{"observed_at":"2026-08-05T21:12:01.248598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-05T22:17:34.485159Z","title":"Multimedia Tools and Applica- tions, 83(4):11215–11227","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.10039","last_updated":"2025-08-10T12:46:47Z","snapshot_observed_at":"2026-08-05T22:17:33.747432Z","submitted_at":"2025-08-10T12:46:47Z","title":"Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T22:17:34.485159Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2508.10039"},"observation_digest":"sha256:ec98a56fbfbdced5cdfafcce16f8a4d5edea57accec2c0b9ed2ba58f393de064","observation_id":"c3c80742-b9da-496a-9cd6-39a90b802b13","resolution":{"observed_at":"2026-08-05T22:17:34.485159Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-05T19:47:37.878806Z","title":"CoRR, abs/1911.02116","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2508.11831","last_updated":"2025-08-15T22:40:35Z","snapshot_observed_at":"2026-08-05T19:47:29.004976Z","submitted_at":"2025-08-15T22:40:35Z","title":"When Does Language Transfer Help? Sequential Fine-Tuning for Cross-Lingual Euphemism Detection","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-05T19:47:37.878806Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2508.11831"},"observation_digest":"sha256:d8489a37d71b4f9ef1d36cb6a97a684687df2bcf1c3672c6907e5c138f54d4aa","observation_id":"5c55aeef-fc72-456a-b2c6-5c028ebfd006","resolution":{"observed_at":"2026-08-05T19:47:37.878806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-05T19:23:50.511727Z","title":"Unsupervised cross-lingual representation learning at scale","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2508.12803","last_updated":"2025-08-18T10:34:08Z","snapshot_observed_at":"2026-08-05T19:23:38.110027Z","submitted_at":"2025-08-18T10:34:08Z","title":"When Alignment Hurts: Decoupling Representational Spaces in Multilingual Models","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T19:23:50.511727Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2508.12803"},"observation_digest":"sha256:ef92dd4527c9fe8b866ada035db91b6e5b3a6f898c98b8b99cff224101affcc3","observation_id":"c9b144b2-3a95-4e2f-80d7-59926de2b2ab","resolution":{"observed_at":"2026-08-05T19:23:50.511727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-05T17:13:10.902763Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.16936","last_updated":"2025-08-29T08:56:06Z","snapshot_observed_at":"2026-08-05T17:13:10.641272Z","submitted_at":"2025-08-23T08:05:37Z","title":"THEME: Enhancing Thematic Investing with Semantic Stock Representations and Temporal Dynamics","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T17:13:10.902763Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2508.16936"},"observation_digest":"sha256:26973f729a84e4fbb6241fe7554de92c998efdde14a46d4cbeb9f0e601fc2acf","observation_id":"df8ac139-4fe8-450a-86ca-7440346fdf47","resolution":{"observed_at":"2026-08-05T17:13:10.902763Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-05T14:54:17.535098Z","title":"Un- supervised cross-lingual representation learning at scale,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2508.20796","last_updated":"2025-08-28T13:58:09Z","snapshot_observed_at":"2026-08-06T22:34:52.355108Z","submitted_at":"2025-08-28T13:58:09Z","title":"Speech Emotion Recognition via Entropy-Aware Score Selection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T14:54:17.535098Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2508.20796"},"observation_digest":"sha256:21bc380becb775f37cbcd74bd3f611d98ead9a52738af75d4e6e8c87ca767d3b","observation_id":"840638f8-ece8-44e8-bf30-87ac0c3a3fa0","resolution":{"observed_at":"2026-08-05T14:54:17.535098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-05T10:52:46.659241Z","title":"Unsu- pervised cross-lingual representation learning at scale,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2509.03610","last_updated":"2025-09-03T18:05:42Z","snapshot_observed_at":"2026-08-05T10:52:43.923669Z","submitted_at":"2025-09-03T18:05:42Z","title":"NoteBar: An AI-Assisted Note-Taking System for Personal Knowledge Management","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T10:52:46.659241Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2509.03610"},"observation_digest":"sha256:51fd32f305e48690537449aa51736e3683c9f24734e20e7e82f17ae9fef35f49","observation_id":"e108a2d0-079b-42e1-9434-18a5ae5ce5c2","resolution":{"observed_at":"2026-08-05T10:52:46.659241Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-04T19:07:20.962060Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09459","last_updated":"2025-09-11T13:42:50Z","snapshot_observed_at":"2026-08-06T03:21:44.837514Z","submitted_at":"2025-09-11T13:42:50Z","title":"Boosting Data Utilization for Multilingual Dense Retrieval","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-04T19:07:20.962060Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2509.09459"},"observation_digest":"sha256:bd6ce823d3714aff4e8a7cfd327635f0191026ae1a3fceb7c400d1364ce50100","observation_id":"b8977f64-35c0-42ff-8fef-0bc41b0df2ac","resolution":{"observed_at":"2026-08-04T19:07:20.962060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-05T20:01:33.790662Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09683","last_updated":"2025-08-15T10:01:53Z","snapshot_observed_at":"2026-08-05T20:01:33.430449Z","submitted_at":"2025-08-15T10:01:53Z","title":"Forecasting Clicks in Digital Advertising: Multimodal Inputs and Interpretable Outputs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T20:01:33.790662Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2509.09683"},"observation_digest":"sha256:326515a7a70a55d7d9af927444c1aef554465b8d9597d022293699be362ff82b","observation_id":"8c83d55e-91b3-4c3c-9df6-d36a0a2eb28e","resolution":{"observed_at":"2026-08-05T20:01:33.790662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-04T18:04:11.811938Z","title":"Unsu- pervised cross-lingual representation learning at scale,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2509.10287","last_updated":"2025-09-12T14:27:04Z","snapshot_observed_at":"2026-08-04T18:04:05.186561Z","submitted_at":"2025-09-12T14:27:04Z","title":"URL2Graph++: Unified Semantic-Structural-Character Learning for Malicious URL Detection","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T18:04:11.811938Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2509.10287"},"observation_digest":"sha256:b2de0b471170f80243d2cff1e31c339bfe582275c3c526f6643aa8372b98f657","observation_id":"d42c4152-09cc-4245-a187-72d073b59f1d","resolution":{"observed_at":"2026-08-04T18:04:11.811938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2509.16621","last_updated":"2026-04-19T12:32:05Z","snapshot_observed_at":"2026-07-30T08:49:19.907713Z","submitted_at":"2025-09-20T10:44:26Z","title":"The Role of Vocabularies in Learning Sparse Representations for Ranking","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-18T15:56:06.591463Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2509.16621"},"observation_digest":"sha256:950d4b92a05b6faa52e775121b18f692dab93a99348268022e49d51572294970","observation_id":"fb795bad-69b0-47fa-af70-d0c117bd044f","resolution":{"observed_at":"2026-05-18T15:56:34.257292Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2510.14274","last_updated":"2026-04-22T02:55:58Z","snapshot_observed_at":"2026-07-06T22:32:47.087967Z","submitted_at":"2025-10-16T03:48:59Z","title":"Retrofitting Small Multilingual Models for Retrieval: Matching 7B Performance with 300M Parameters","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-18T06:57:53.532494Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2510.14274"},"observation_digest":"sha256:09fd0add4255418b38b2b0d537d60258d1b0240acac32c3ed2b702df080dcc69","observation_id":"401b64e8-831b-4bff-8c54-35e9562de5da","resolution":{"observed_at":"2026-05-18T07:01:01.577536Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-03T22:30:14.836040Z","title":"Conneau andothers, ?Unsupervised Cross- lingual Representation Learning at Scale, ? CoRR, jourvol abs/1911.02116, 2019","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2511.11309","last_updated":"2026-07-13T11:05:50Z","snapshot_observed_at":"2026-08-07T03:46:37.037034Z","submitted_at":"2025-11-13T14:39:18Z","title":"destroR: A Benchmark and Adversarial-Training Defense for Bangla Transfer Models under Meaning-Preserving Attacks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T22:30:14.836040Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2511.11309"},"observation_digest":"sha256:d0c4481120f54b7c2544cd3b96bc417478599d4d9f3e9f6cc5ca16cc3f694635","observation_id":"52c167fa-9d0c-4e05-b25a-8c96c5293d19","resolution":{"observed_at":"2026-08-03T22:30:14.836040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-03T09:29:51.464571Z","title":"Conneau, K","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.13932","last_updated":"2026-06-30T07:25:54Z","snapshot_observed_at":"2026-08-06T19:36:08.789768Z","submitted_at":"2026-01-20T13:08:00Z","title":"Generating consensus and dissent on massive discussion platforms with a semantic-vector model","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-03T09:29:51.464571Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2601.13932"},"observation_digest":"sha256:85f6d678b9fb3916ffb07925570f5fb86d6ca53ff35168cab7b19bac3500e9af","observation_id":"7726c103-8bf1-45b4-874f-a85784680c1e","resolution":{"observed_at":"2026-08-03T09:29:51.464571Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2602.16608","last_updated":"2026-05-19T23:05:11Z","snapshot_observed_at":"2026-07-06T22:46:17.123722Z","submitted_at":"2026-02-18T17:03:10Z","title":"Explainable AI: Context-Aware Layer-Wise Integrated Gradients for Explaining Transformer Models","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-21T12:46:59.419162Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2602.16608"},"observation_digest":"sha256:29dc4e2fee7153114f152c6db69fc7b04ec613e6acb018c8529395793ff4b507","observation_id":"d99c7cf8-5d31-41d0-ba75-9109ab769716","resolution":{"observed_at":"2026-05-21T12:50:09.328684Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-02T21:41:34.545946Z","title":"arXiv preprint arXiv:1911.02116","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2602.19333","last_updated":"2026-05-25T14:40:20Z","snapshot_observed_at":"2026-08-02T21:41:33.477198Z","submitted_at":"2026-02-22T20:53:08Z","title":"PerSoMed: A Large-Scale Balanced Dataset for Persian Social Media Text Classification","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-02T21:41:34.545946Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2602.19333"},"observation_digest":"sha256:5c4e4de079f1c53b69839f5ae78783533982ba09b3bf7b4cd2090121eb97b027","observation_id":"b8fbab12-c030-4eb9-89ab-709c8e9bd9d8","resolution":{"observed_at":"2026-08-02T21:41:34.545946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2604.03673","last_updated":"2026-04-04T10:12:35Z","snapshot_observed_at":"2026-08-03T04:38:06.721783Z","submitted_at":"2026-04-04T10:12:35Z","title":"'Layer su Layer': Identifying and Disambiguating the Italian NPN Construction in BERT's family","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-13T17:34:48.716944Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2604.03673"},"observation_digest":"sha256:75964729a5dbf5d73e91168a25b34f27753a3eaf0e2aeca1d693415f96cdbd80","observation_id":"bb519f3d-a798-45cd-a671-3cdadd0c6762","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2604.08549","last_updated":"2026-01-16T09:08:17Z","snapshot_observed_at":"2026-08-03T23:21:30.683719Z","submitted_at":"2026-01-16T09:08:17Z","title":"VerifAI: A Verifiable Open-Source Search Engine for Biomedical Question Answering","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-16T14:03:58.706599Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2604.08549"},"observation_digest":"sha256:b4edb03b7df91c20f67dcaaecfcad2a996be04455e4d76bffd70fd03efcbea01","observation_id":"40a03c7a-d7da-4728-92f5-da9d2091936c","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2604.10590","last_updated":"2026-04-12T11:43:25Z","snapshot_observed_at":"2026-07-06T22:59:09.778842Z","submitted_at":"2026-04-12T11:43:25Z","title":"Bridging Linguistic Gaps: Cross-Lingual Mapping in Pre-Training and Dataset for Enhanced Multilingual LLM Performance","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T15:02:54.374120Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2604.10590"},"observation_digest":"sha256:477291eebf6cc92e3975a0df6d8c41debab61e8ecca37b0819e15eb80edad04d","observation_id":"8e54805e-4128-41a2-92e9-3d4ce62e8a00","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2604.11066","last_updated":"2026-04-13T06:46:37Z","snapshot_observed_at":"2026-07-06T22:59:32.051572Z","submitted_at":"2026-04-13T06:46:37Z","title":"ks-pret-5m: a 5 million word, 12 million token kashmiri pretraining dataset","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T16:06:01.794796Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2604.11066"},"observation_digest":"sha256:8c16fdcd1ea32a99e260d17af6dcbc37cd1a96779e23d08085e41b54f6c024b6","observation_id":"d626a4e9-b487-4f80-a616-d5402ae3a167","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2604.14907","last_updated":"2026-04-16T11:49:13Z","snapshot_observed_at":"2026-08-02T06:17:13.082820Z","submitted_at":"2026-04-16T11:49:13Z","title":"Comparison of Modern Multilingual Text Embedding Techniques for Hate Speech Detection Task","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T10:54:33.904118Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2604.14907"},"observation_digest":"sha256:2e835a10b6ca4feac5bb8fc0408cd988cae7bd2e0d9205c8f8e36b4ac4c7819c","observation_id":"743b42dc-dd84-49dc-85a5-fa164a28e5b7","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2604.16214","last_updated":"2026-04-17T16:23:01Z","snapshot_observed_at":"2026-07-06T23:03:34.795570Z","submitted_at":"2026-04-17T16:23:01Z","title":"GAViD: A Large-Scale Multimodal Dataset for Context-Aware Group Affect Recognition from Videos","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-10T08:59:19.305200Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2604.16214"},"observation_digest":"sha256:5d61c65a656d2277fe774e8b796cc5557c4d8af180044406f69a9d3a370f4c0a","observation_id":"cfa9ec31-d78d-44e9-b806-83c808889e40","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2604.18347","last_updated":"2026-06-05T18:16:54Z","snapshot_observed_at":"2026-07-06T23:05:13.178333Z","submitted_at":"2026-04-20T14:42:47Z","title":"Multilingual Training and Evaluation Resources for Vision-Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T05:11:00.461167Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2604.18347"},"observation_digest":"sha256:35e368be5cbe9c9946896cade126ffeb6eb5b262a807b3b254083ca3e132f3b4","observation_id":"8e04eeac-a111-46b8-88ee-0c59f3a417e9","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2604.18347","last_updated":"2026-06-05T18:16:54Z","snapshot_observed_at":"2026-07-06T23:05:13.178333Z","submitted_at":"2026-04-20T14:42:47Z","title":"Multilingual Training and Evaluation Resources for Vision-Language Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-05T12:25:00.027624Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2604.18347"},"observation_digest":"sha256:1c0b20be023d4e8f3505211ec3de53c3f519e164daa1142bebab5eb78cd4d7b1","observation_id":"27315e54-13b5-49ba-a186-1163096095af","resolution":{"observed_at":"2026-07-05T12:30:59.858791Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2604.20720","last_updated":"2026-04-22T16:07:10Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:07:10Z","title":"COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling","version":1},"reference_index":104,"source":"arxiv_source","source_observed_at":"2026-05-10T01:14:16.831333Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2604.20720"},"observation_digest":"sha256:aebb488cefe84b7cbe1d9f20bc866424af5d0f171b230b500eb293d55574c385","observation_id":"be88ddd1-7b80-41a8-85b0-b31f6497a2e0","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2605.02402","last_updated":"2026-05-04T09:44:50Z","snapshot_observed_at":"2026-07-06T23:15:27.816549Z","submitted_at":"2026-05-04T09:44:50Z","title":"Automatic Reflection Level Classification in Hungarian Student Essays","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-08T18:35:18.222443Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2605.02402"},"observation_digest":"sha256:3e9d7391f888ed9d44066441c893f2c196d0078b93acb16803125ee1d893a55f","observation_id":"0e1aae45-d465-4c68-993d-e95545e6d9ac","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2605.03799","last_updated":"2026-05-09T13:39:51Z","snapshot_observed_at":"2026-07-06T23:16:40.201701Z","submitted_at":"2026-05-05T14:25:48Z","title":"Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-07T16:29:57.984030Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2605.03799"},"observation_digest":"sha256:9431b1f98a4366e564d9528be287155ac485a5c5c4db0be907e11aeb08954726","observation_id":"1cc01d6f-d873-48dc-a26f-dbf26be7294c","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2605.03799","last_updated":"2026-05-09T13:39:51Z","snapshot_observed_at":"2026-07-06T23:16:40.201701Z","submitted_at":"2026-05-05T14:25:48Z","title":"Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-12T01:48:40.194847Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2605.03799"},"observation_digest":"sha256:b5fcb017d712a3bdd761c212c629cc538dfdee6bbfbab457893eb6733d5703e0","observation_id":"f0824572-164d-4881-b571-23692be861bf","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2605.09156","last_updated":"2026-05-26T08:07:03Z","snapshot_observed_at":"2026-07-06T23:21:16.454273Z","submitted_at":"2026-05-09T20:36:49Z","title":"Lost in Translation? Exploring the Shift in Grammatical Gender from Latin to Occitan","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-12T03:56:19.585584Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2605.09156"},"observation_digest":"sha256:e2657abe1efe91c132e0ca58b20f14bb359f8a1d476db96e916553b174739636","observation_id":"ba0960e8-dbc5-452f-8da1-636f79ab44e4","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2605.13225","last_updated":"2026-05-13T09:17:51Z","snapshot_observed_at":"2026-08-02T19:28:51.230887Z","submitted_at":"2026-05-13T09:17:51Z","title":"Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-14T20:17:26.661595Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2605.13225"},"observation_digest":"sha256:a0d32510cb363760ab5efd521879e8b611ad4f6f58d3dd4a4c509792b9b92033","observation_id":"4ae9aafb-97e5-40e9-a3bf-b59c10808fc5","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2605.14503","last_updated":"2026-05-14T07:47:44Z","snapshot_observed_at":"2026-07-06T23:25:54.070869Z","submitted_at":"2026-05-14T07:47:44Z","title":"Not All RAGs Are Created Equal: A Component-Wise Empirical Study for Software Engineering Tasks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-15T01:52:53.116772Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2605.14503"},"observation_digest":"sha256:be2f282d03f0a0d35e4a41eb06b544b4d6993c73e092dc40ec1c7163584f4e11","observation_id":"edc43cbf-667f-4b43-a1e6-872afd611c88","resolution":{"observed_at":"2026-05-16T16:23:29.639489Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2605.19274","last_updated":"2026-05-19T02:44:48Z","snapshot_observed_at":"2026-08-01T16:09:17.287479Z","submitted_at":"2026-05-19T02:44:48Z","title":"Lost in Interpretation: The Plausibility-Faithfulness Trade-off in Cross-Lingual Explanations","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-20T06:21:48.558394Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2605.19274"},"observation_digest":"sha256:27d8a6da8db19f4be588b5ff4104e7244615861bab89373751071a2100444376","observation_id":"110ccbdf-2d58-4482-a89b-489dcfb08c03","resolution":{"observed_at":"2026-05-20T06:23:05.430451Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2605.24718","last_updated":"2026-05-23T20:13:44Z","snapshot_observed_at":"2026-07-06T23:34:47.734159Z","submitted_at":"2026-05-23T20:13:44Z","title":"The Tokenizer Tax Across 25 European Languages: Domain Invariance, Cross-Lingual Few-Shot Effects, and the Ukrainian Penalty","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T13:08:33.172423Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2605.24718"},"observation_digest":"sha256:ca484fa90b38852ef1fa460a6ff09050f3f3102238c41c92e2ef5de9dd2a543f","observation_id":"783b6b7a-f211-4609-b9c5-8e18d3bdee33","resolution":{"observed_at":"2026-06-30T13:14:40.877440Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2606.01671","last_updated":"2026-06-01T04:28:44Z","snapshot_observed_at":"2026-08-02T05:29:24.680380Z","submitted_at":"2026-06-01T04:28:44Z","title":"When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Models","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-06-28T15:19:26.983760Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2606.01671"},"observation_digest":"sha256:d39f9d87da28ff3fd52a0763c74ad02beadff8d81504bde7d170d1ab9fa35fd7","observation_id":"bdad943a-35ca-41e6-bb28-c92c874691fb","resolution":{"observed_at":"2026-07-01T22:36:16.799861Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2606.07313","last_updated":"2026-06-05T14:34:37Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:34:37Z","title":"SV-Detect: AI-generated Text Detection with Steering Vectors","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-06-27T22:16:31.088030Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2606.07313"},"observation_digest":"sha256:7ad86ae3f7a976ba3ac489adc340988d1d30082445250e0fe3a03e60f4abbc34","observation_id":"5ce953be-64a7-4821-8d50-de05532e16be","resolution":{"observed_at":"2026-07-02T16:57:09.952759Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2606.16009","last_updated":"2026-06-16T12:53:59Z","snapshot_observed_at":"2026-07-06T23:52:37.922109Z","submitted_at":"2026-06-14T20:41:59Z","title":"Bridging the Usability Gap: Lessons from Interpreting Studies for Machine Interpreting Design","version":2},"reference_index":129,"source":"arxiv_source","source_observed_at":"2026-06-27T03:34:37.373928Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2606.16009"},"observation_digest":"sha256:cfcc6bab64f84cab1516ad98ded715c8d36bd35c293d1d41237234fd5331eb07","observation_id":"cc940da6-7ab2-47af-99a8-5b0edcb0efd6","resolution":{"observed_at":"2026-06-27T03:40:27.936086Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2606.18389","last_updated":"2026-06-16T18:34:21Z","snapshot_observed_at":"2026-08-05T12:39:23.330047Z","submitted_at":"2026-06-16T18:34:21Z","title":"Want Better Synthetic Data? Steer It: Activation Steering for Low-Resource Language Generation","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-06-27T00:46:36.000415Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2606.18389"},"observation_digest":"sha256:0a50e04de9b86b0ff0f964fdb7ce6a4e4973de0afe838b11a2b628304e969ea6","observation_id":"1cb782cb-4319-462c-9bdd-ce196791b836","resolution":{"observed_at":"2026-07-03T21:18:58.541982Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2607.02259","last_updated":"2026-07-02T14:46:54Z","snapshot_observed_at":"2026-07-07T00:07:42.752664Z","submitted_at":"2026-07-02T14:46:54Z","title":"BamiBERT: A New BERT-based Language Model for Vietnamese","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-07-03T14:29:14.923528Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2607.02259"},"observation_digest":"sha256:abfa1a312620f72e422666d545e9ddf4d24839dbb998681c1705925af2ca3248","observation_id":"a67684c6-092d-4f86-8cd0-14562afcfab3","resolution":{"observed_at":"2026-07-03T14:38:28.765433Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2607.06196","last_updated":"2026-07-07T12:21:52Z","snapshot_observed_at":"2026-08-01T22:51:20.749089Z","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":121,"source":"arxiv_source","source_observed_at":"2026-07-08T13:50:54.083165Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2607.06196"},"observation_digest":"sha256:f6f6dd897c6e5f0e304e78c4abde8d57616fe68a99a606a17401fde0fb2eb1a5","observation_id":"2042c5b9-f972-4ed0-baa4-d3e8cc840821","resolution":{"observed_at":"2026-07-08T13:54:58.603603Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":"1911.02116","doi":"10.48550/arxiv.1911.02116","metadata_source":"pith","pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","venue":"cs.CL","work_id":"32df83f5-69ea-418b-9a8d-03c2d6695b80","year":2019},"citing_paper":{"arxiv_id":"2607.06544","last_updated":"2026-07-07T17:51:10Z","snapshot_observed_at":"2026-08-05T05:23:01.094751Z","submitted_at":"2026-07-07T17:51:10Z","title":"Rethinking Indic AI from a Lens of Cultural Heritage Preservation","version":1},"reference_index":237,"source":"arxiv_source","source_observed_at":"2026-07-08T02:22:31.134521Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2607.06544"},"observation_digest":"sha256:00bb0daf7b4bdf7c44fc388a9acdff763ac5d51def9054be8455a67748a5e491","observation_id":"c200d16a-5a06-49f1-87ba-084676f6201b","resolution":{"observed_at":"2026-07-08T02:24:27.928057Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-13T07:31:46.786720Z","title":"Conneau, K","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2607.08785","last_updated":"2026-06-13T12:19:37Z","snapshot_observed_at":"2026-08-06T06:17:17.317582Z","submitted_at":"2026-06-13T12:19:37Z","title":"DaDaDa: A Dataset for Data Pricing in Data Marketplaces","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-13T07:31:46.786720Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2607.08785"},"observation_digest":"sha256:68dbfb7d83081337de302831b7cfebc9467ec8571b5f8a01faba954b999b3318","observation_id":"00b8bce5-fdd8-4076-8005-9f0a98452c31","resolution":{"observed_at":"2026-07-13T07:31:46.786720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-07-14T09:47:44.569601Z","title":"Unsupervised Cross-lingual Representation Learning at Scale , journal =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.10715","last_updated":"2026-07-12T11:15:26Z","snapshot_observed_at":"2026-07-30T13:27:40.650388Z","submitted_at":"2026-07-12T11:15:26Z","title":"A Corpus of Persuasion Techniques in Slavic Languages","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-07-14T09:47:44.569601Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2607.10715"},"observation_digest":"sha256:d2f007ecdb43dc878579f791ad33dbfb6165eaedf211b2570467804fe93d2deb","observation_id":"ae5a69fc-4c92-487b-8f07-673ffdf6e151","resolution":{"observed_at":"2026-07-14T09:47:44.569601Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-01T18:49:20.111198Z","title":"arXiv preprint arXiv:1911.02116 , year =","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2607.17182","last_updated":"2026-07-19T10:42:30Z","snapshot_observed_at":"2026-08-01T18:49:11.079204Z","submitted_at":"2026-07-19T10:42:30Z","title":"BanClickThumb: A Multimodal Dataset and Transformer Fusion Benchmarks for Clickbait Detection in Bengali YouTube Videos","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-01T18:49:20.111198Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2607.17182"},"observation_digest":"sha256:5b890117490fbbb5e5625157cb822fca90445a238dc31dcb8a1445cf2fe9bfa8","observation_id":"c6343fde-7c08-444d-9ad1-d53b901095ed","resolution":{"observed_at":"2026-08-01T18:49:20.111198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-01T17:19:47.305037Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.17689","last_updated":"2026-07-20T08:37:31Z","snapshot_observed_at":"2026-08-01T17:19:45.634434Z","submitted_at":"2026-07-20T08:37:31Z","title":"Tokenizing Crosslingual Homographs","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-01T17:19:47.305037Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2607.17689"},"observation_digest":"sha256:6857c5d8f5ae99013a61c8ba2b51417d1e771a7a694ca6a2f9e5ae08777f027e","observation_id":"5a1f68ac-a2ae-4f86-ab07-d3d0ce33bbcf","resolution":{"observed_at":"2026-08-01T17:19:47.305037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-01T13:57:25.566029Z","title":"Conneau, K","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.18931","last_updated":"2026-07-21T10:12:38Z","snapshot_observed_at":"2026-08-06T08:42:10.692188Z","submitted_at":"2026-07-21T10:12:38Z","title":"AI-Powered Browsers Are Broadly Accurate News Summarizers That Reduce Political Bias and Negative Affect","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-01T13:57:25.566029Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2607.18931"},"observation_digest":"sha256:769f32d519c58837013085f7c84ac0e86e96039ee93b6973f0e0a32471d7ddac","observation_id":"3f462b91-fe45-4fe1-9f50-01fd8143bc0f","resolution":{"observed_at":"2026-08-01T13:57:25.566029Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-01T05:13:37.679226Z","title":"Unsu- pervised cross-lingual representation learning at scale,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2607.22794","last_updated":"2026-07-24T13:52:27Z","snapshot_observed_at":"2026-08-03T15:48:27.385644Z","submitted_at":"2026-07-24T13:52:27Z","title":"Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-01T05:13:37.679226Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2607.22794"},"observation_digest":"sha256:7203694ef01e8aabb8824cd691a609c30d515d98b5cdaa4be9d42e0d563afedf","observation_id":"c419608c-5899-4510-9651-c7976681eaf1","resolution":{"observed_at":"2026-08-01T05:13:37.679226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02116","snapshot_observed_at":"2026-08-01T03:15:58.285975Z","title":"Unsupervised cross-lingual representation learning at scale ( XLM-R )","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.25180","last_updated":"2026-07-28T01:13:37Z","snapshot_observed_at":"2026-08-06T15:30:04.436114Z","submitted_at":"2026-07-28T01:13:37Z","title":"Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-01T03:15:58.285975Z"},"links":{"cited_paper":"/paper/1911.02116","citing_paper":"/paper/2607.25180"},"observation_digest":"sha256:487ac2c53b0ef375cae992c516a98aa07b52928c5ad4608828c97af0f0b44325","observation_id":"9a4a0bf1-eeef-4c20-9649-b1fb1e3bdff4","resolution":{"observed_at":"2026-08-01T03:15:58.285975Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1911.02116/citation-record","integrity":"/paper/1911.02116/integrity","json":"/paper/1911.02116/citation-record.json","paper":"/paper/1911.02116"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.05019","last_updated":"2019-07-11T06:47:30Z","snapshot_observed_at":"2026-07-06T08:06:58.351475Z","submitted_at":"2019-07-11T06:47:30Z","title":"Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges","version":1},"cited_work":{"arxiv_id":"1907.05019","doi":"10.48550/arxiv.1907.05019","metadata_source":"pith","pith_arxiv_id":"1907.05019","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges","venue":"cs.CL","work_id":"1f743ee4-68c2-4ada-b981-6f62054e2525","year":2019},"citing_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-16T16:23:29.564169Z"},"links":{"cited_paper":"/paper/1907.05019","citing_paper":"/paper/1911.02116"},"observation_digest":"sha256:b6cb5aa6061f4fe59f316257b94aac21c891afa257f53dc1d31ec79112365e66","observation_id":"3123a6fa-3ade-497b-a8d0-21542cee53df","resolution":{"observed_at":"2026-05-16T16:23:29.587237Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"194fdea9-8a27-4838-8c7b-97928d0f3ecb","year":2017},"citing_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-16T16:23:29.564169Z"},"links":{"citing_paper":"/paper/1911.02116"},"observation_digest":"sha256:544a37ca96c295c2be7be2643958c0dc23541044eb0d5d7ffd3be18cbf951245","observation_id":"1b8f5ceb-f762-4466-8b9a-5d49b7dab173","resolution":{"observed_at":"2026-05-16T16:23:29.633086Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1602.02410","last_updated":"2016-02-11T23:01:48Z","snapshot_observed_at":"2026-07-06T04:45:24.152472Z","submitted_at":"2016-02-07T19:11:17Z","title":"Exploring the Limits of Language Modeling","version":2},"cited_work":{"arxiv_id":"1602.02410","doi":"10.48550/arxiv.1602.02410","metadata_source":"pith","pith_arxiv_id":"1602.02410","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Exploring the Limits of Language Modeling","venue":"cs.CL","work_id":"a9dbcb7a-e48d-42a4-8d60-a8f723751a97","year":2016},"citing_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-16T16:23:29.564169Z"},"links":{"cited_paper":"/paper/1602.02410","citing_paper":"/paper/1911.02116"},"observation_digest":"sha256:682123f81808f26e91bf07135bff2c6e72af6a1fc9e5b9012ae9f5fc5718faa9","observation_id":"b0fc4271-d257-41f4-ae69-f15a611e84a1","resolution":{"observed_at":"2026-05-16T16:23:29.611103Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.07475","last_updated":"2020-05-03T10:13:02Z","snapshot_observed_at":"2026-07-06T08:30:04.777443Z","submitted_at":"2019-10-16T17:05:21Z","title":"MLQA: Evaluating Cross-lingual Extractive Question Answering","version":3},"cited_work":{"arxiv_id":"1910.07475","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1910.07475","snapshot_observed_at":"2026-07-04T02:39:24.032831Z","title":"arXiv preprint arXiv:1910.07475 , year=","venue":null,"work_id":"da4ff338-4ef3-4d81-bf0d-cb5b178e77df","year":1910},"citing_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-16T16:23:29.564169Z"},"links":{"cited_paper":"/paper/1910.07475","citing_paper":"/paper/1911.02116"},"observation_digest":"sha256:911dd7014f786ef8c5dd0c50aa99f9dbfc5ff084b0805ecf9d8fadee98965c0e","observation_id":"ddaedff0-cfdc-406c-9c0a-c88868687af0","resolution":{"observed_at":"2026-05-16T16:23:29.615571Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-07-31T22:31:37.910868Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":"1907.11692","doi":"10.1007/s10489-02203627-9","metadata_source":"pith","pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","venue":"cs.CL","work_id":"41fe12c4-e538-4890-a244-480650ed3078","year":2019},"citing_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-16T16:23:29.564169Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/1911.02116"},"observation_digest":"sha256:5a7698e034f3646502adaa46c69c3d40a482dd55de0b6d445971caac7f0bba98","observation_id":"a15bcf44-0dea-497c-89f6-b84ce51dc3d0","resolution":{"observed_at":"2026-05-16T16:23:29.620944Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.10683","last_updated":"2023-09-19T15:14:48Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2019-10-23T17:37:36Z","title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","version":4},"cited_work":{"arxiv_id":"1910.10683","doi":"10.18653/v1/2020.acl-main.259","metadata_source":"pith","pith_arxiv_id":"1910.10683","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","venue":"cs.LG","work_id":"50e3b368-0243-4726-8186-233869802ad1","year":2019},"citing_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-16T16:23:29.564169Z"},"links":{"cited_paper":"/paper/1910.10683","citing_paper":"/paper/1911.02116"},"observation_digest":"sha256:24a59137b87c220beebfabc12550be9d4b863cef902be08284ee2ec148172699","observation_id":"64e68b72-99d5-4773-9121-0a80424da563","resolution":{"observed_at":"2026-05-16T16:23:29.624813Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"95ad76da-acd0-49e7-b556-4d0ed92b6486","year":2002},"citing_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-16T16:23:29.564169Z"},"links":{"citing_paper":"/paper/1911.02116"},"observation_digest":"sha256:2cd8745d0ffcfde3d23a80a577739f64009725f55b7d73f2d6a4ac6c3538c563","observation_id":"bda58ba3-c4e9-47e7-85d0-fdc703aacffe","resolution":{"observed_at":"2026-05-16T16:23:29.636034Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.11471","last_updated":"2019-05-27T19:44:33Z","snapshot_observed_at":"2026-08-03T18:10:48.629183Z","submitted_at":"2019-05-27T19:44:33Z","title":"XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering","version":1},"cited_work":{"arxiv_id":"1905.11471","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.11471","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering","venue":"cs.CL","work_id":"bea016aa-d7b2-4af4-8720-a2380ed56902","year":2019},"citing_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-16T16:23:29.564169Z"},"links":{"cited_paper":"/paper/1905.11471","citing_paper":"/paper/1911.02116"},"observation_digest":"sha256:af460387675397aed9d979ff3c59ef8df41df205e1ecfb02cfe694b6e17eaf47","observation_id":"491d627b-c99f-4044-b5a8-517dd1a779c9","resolution":{"observed_at":"2026-05-16T16:23:29.629759Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In CoNLL, pages 142–147","venue":null,"work_id":"4c0d9c40-dfe8-49b3-8c89-deed8624aef5","year":2003},"citing_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-16T16:23:29.564169Z"},"links":{"citing_paper":"/paper/1911.02116"},"observation_digest":"sha256:95cd035f410dfd7215befbf667b7176f414f3df4dbda09453b50696aaa9fcd8e","observation_id":"7a04963e-51ce-4879-8f29-77a3633a99b0","resolution":{"observed_at":"2026-05-16T16:23:29.638742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.07461","last_updated":"2019-02-22T23:53:34Z","snapshot_observed_at":"2026-07-06T06:34:26.609892Z","submitted_at":"2018-04-20T06:35:04Z","title":"GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding","version":3},"cited_work":{"arxiv_id":"1804.07461","doi":null,"metadata_source":"pith","pith_arxiv_id":"1804.07461","snapshot_observed_at":"2026-07-04T09:19:44.134394Z","title":"GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding","venue":"cs.CL","work_id":"1bb6fb0c-482d-43cf-94a8-ed18f72a5563","year":2018},"citing_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-16T16:23:29.564169Z"},"links":{"cited_paper":"/paper/1804.07461","citing_paper":"/paper/1911.02116"},"observation_digest":"sha256:69655329231e35a2a422429f40e27f36be4c98febcf56368e1da3d487f39c7e5","observation_id":"e4ef9a78-6d0f-425d-8834-298cc74b6a31","resolution":{"observed_at":"2026-05-16T16:23:29.595757Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.00359","last_updated":"2019-11-15T00:03:54Z","snapshot_observed_at":"2026-07-06T08:34:04.911718Z","submitted_at":"2019-11-01T13:09:28Z","title":"CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data","version":2},"cited_work":{"arxiv_id":"1911.00359","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1911.00359","snapshot_observed_at":"2026-06-28T17:02:24.078563Z","title":"Ccnet: Extracting high quality monolingual datasets from web crawl data","venue":null,"work_id":"337d24d8-4930-4d71-8336-b3a9a65537b8","year":2020},"citing_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-16T16:23:29.564169Z"},"links":{"cited_paper":"/paper/1911.00359","citing_paper":"/paper/1911.02116"},"observation_digest":"sha256:66c445c34b00f1a406826c612beb2cb9ef6f4315510e6e03a1072c3eda31dd99","observation_id":"03788d16-a6c8-4673-98d0-0fb7a9a07835","resolution":{"observed_at":"2026-05-16T16:23:29.600855Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.12848","last_updated":"2020-11-05T15:11:02Z","snapshot_observed_at":"2026-07-06T07:49:17.886466Z","submitted_at":"2019-04-29T17:56:59Z","title":"Unsupervised Data Augmentation for Consistency Training","version":6},"cited_work":{"arxiv_id":"1904.12848","doi":"10.48550/arxiv.1904.12848","metadata_source":"arxiv_reference","pith_arxiv_id":"1904.12848","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:1904.12848 (Apr 2019)","venue":"arXiv (Cornell University)","work_id":"6329a65c-d00d-42ec-bcbb-104c5bee3cde","year":1904},"citing_paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-16T16:23:29.564169Z"},"links":{"cited_paper":"/paper/1904.12848","citing_paper":"/paper/1911.02116"},"observation_digest":"sha256:ae8e84ae2fd93ab8e550ae14a78ce74ad9d96fe80191aa2da866f9b727b90c25","observation_id":"645a9641-909d-4dd5-9c52-98421ec9b4d1","resolution":{"observed_at":"2026-05-16T16:23:29.607024Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1911.02116","last_updated":"2020-04-08T01:02:17Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-02T09:09:10.011185Z","submitted_at":"2019-11-05T22:42:00Z","title":"Unsupervised Cross-lingual Representation Learning at Scale"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":1,"metadata_mismatch":7,"parse_uncertain":0,"unresolved":2,"verified_exact":1,"verified_fuzzy":1},"total_outbound_references":12},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 84 inbound Pith citation observations for arXiv:1911.02116."}