{"as_of":"2026-08-18T19:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:608bbd59b25c2bf1e19d1513f1b5ada77c361231b247958d8501da8de0c3a1bd","coverage":[{"denominator":40,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":40,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T12:43:06.022014Z","state":"measured"},{"denominator":40,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":40,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.02189/citation-record","integrity":"/paper/2608.02189/integrity","json":"/paper/2608.02189/citation-record.json","paper":"/paper/2608.02189"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1611.09268","last_updated":"2018-10-31T14:46:47Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2016-11-28T18:14:11Z","title":"MS MARCO: A Human Generated MAchine Reading COmprehension Dataset","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.09268","snapshot_observed_at":"2026-08-04T12:43:02.838622Z","title":"arXiv preprint arXiv:1611.09268 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:02.838622Z"},"links":{"cited_paper":"/paper/1611.09268","citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:31d6cd094e8a7e3dc67aaf4fd51a0906f65930ca0582a3935bd00113acbc77f3","observation_id":"16deeef4-35a8-4477-8ac9-b8e8dacf2d01","resolution":{"observed_at":"2026-08-04T12:43:02.838622Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:02.907026Z","title":"Proceedings of the 16th conference of the European Chapter of the Association for Computational Linguistics: Main volume , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:02.907026Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:62be6584b466d13425ad07dd01a31d87c7a8c459613775b5842d2bbd256e1634","observation_id":"518bd796-7549-494f-b8e2-8dc242a84d52","resolution":{"observed_at":"2026-08-04T12:43:02.907026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.13897","last_updated":"2022-08-17T17:22:19Z","snapshot_observed_at":"2026-08-16T17:59:45.009383Z","submitted_at":"2021-08-31T14:53:37Z","title":"mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.13897","snapshot_observed_at":"2026-08-04T12:43:02.943345Z","title":"arXiv preprint arXiv:2108.13897 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:02.943345Z"},"links":{"cited_paper":"/paper/2108.13897","citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:ffe8a149d6f49ebbf9c15c7f336520cdae988b27a1598b2cda7ebb18bc3d0284","observation_id":"a91fe1af-2745-4ab9-b32d-152cff1776ce","resolution":{"observed_at":"2026-08-04T12:43:02.943345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:02.989447Z","title":"Transactions of the Association for Computational Linguistics , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:02.989447Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:47cba1fb5dd9fcb0e8abd46c8fb48675b506b6c049cb8f0e620e58f924634e1f","observation_id":"5c0fbe6d-c927-48f7-a538-d4d57b0e11e7","resolution":{"observed_at":"2026-08-04T12:43:02.989447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.05765","last_updated":"2022-03-11T05:47:45Z","snapshot_observed_at":"2026-08-16T17:15:24.442718Z","submitted_at":"2022-03-11T05:47:45Z","title":"Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.05765","snapshot_observed_at":"2026-08-04T12:43:03.040819Z","title":"arXiv preprint arXiv:2203.05765 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.040819Z"},"links":{"cited_paper":"/paper/2203.05765","citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:47a742231b55c73fd2cf519d7b64ada9311e216fcd35940ad64081dd37b7f6a7","observation_id":"7de59435-0de1-4795-bb7d-5b948d524eab","resolution":{"observed_at":"2026-08-04T12:43:03.040819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:03.116270Z","title":"2009 , publisher=","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.116270Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:e3a6adbeb7b3bd6e159a77ce72a331ad18575d509ed3966412e9dfcd1cbc3a62","observation_id":"81ca45f5-9c01-4fc0-83d1-6a6281af3a8c","resolution":{"observed_at":"2026-08-04T12:43:03.116270Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.09118","last_updated":"2022-08-29T12:17:32Z","snapshot_observed_at":"2026-08-14T13:19:21.742321Z","submitted_at":"2021-12-16T18:57:37Z","title":"Unsupervised Dense Information Retrieval with Contrastive Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.09118","snapshot_observed_at":"2026-08-04T12:43:03.209489Z","title":"arXiv preprint arXiv:2112.09118 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.209489Z"},"links":{"cited_paper":"/paper/2112.09118","citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:ddf14d0a03ee773d9c1b785c2a88af1db3b4ab0883ceccef59dc1176f7d3a416","observation_id":"01178a55-469b-4c8b-8747-c51f7702da53","resolution":{"observed_at":"2026-08-04T12:43:03.209489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:03.265103Z","title":"Proceedings of the 31st International Conference on Computational Linguistics , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.265103Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:577830fadf752802fe380783f9a38423923b72367da3e5fd33a1be2341bccbe4","observation_id":"ac98430a-519c-41ab-8b9a-d69f38dd9d3c","resolution":{"observed_at":"2026-08-04T12:43:03.265103Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:03.307963Z","title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.307963Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:965d2b1bf44ec31e2b5cb582a9e4340ffe1698a3aff5b9b29d6430b97af0798e","observation_id":"ffe8feaf-cff9-4b16-ba02-fa1e03d6bb53","resolution":{"observed_at":"2026-08-04T12:43:03.307963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.03533","last_updated":"2024-02-22T06:21:51Z","snapshot_observed_at":"2026-07-06T14:27:46.217000Z","submitted_at":"2022-12-07T09:25:54Z","title":"Text Embeddings by Weakly-Supervised Contrastive Pre-training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.03533","snapshot_observed_at":"2026-08-04T12:43:03.362911Z","title":"arXiv preprint arXiv:2212.03533 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.362911Z"},"links":{"cited_paper":"/paper/2212.03533","citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:71dd15e59823250fbe8f78ec08694604863eaf1b8e24572127a67da729df4d5d","observation_id":"f7df0567-860c-41dd-a80c-8552b42694eb","resolution":{"observed_at":"2026-08-04T12:43:03.362911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03216","last_updated":"2025-12-12T11:26:32Z","snapshot_observed_at":"2026-08-17T15:25:09.479397Z","submitted_at":"2024-02-05T17:26:49Z","title":"M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03216","snapshot_observed_at":"2026-08-04T12:43:03.408439Z","title":"arXiv preprint arXiv:2402.03216 , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.408439Z"},"links":{"cited_paper":"/paper/2402.03216","citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:284bc7b58e45e55f7e67dec8cf537af4a9b6c3f0dd943ff314bb3ef61c51ab0d","observation_id":"f2462013-ec9f-44bf-9493-028c22495b51","resolution":{"observed_at":"2026-08-04T12:43:03.408439Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:03.535213Z","title":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.535213Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:0ffccb6af7053753f70a230a61d06b5a57b0f0ecac86016706e35e6e40d33f30","observation_id":"87917cdd-b554-43c4-83d4-4b4b04a4599e","resolution":{"observed_at":"2026-08-04T12:43:03.535213Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.01703","last_updated":"2019-12-03T22:06:05Z","snapshot_observed_at":"2026-07-06T08:41:49.632205Z","submitted_at":"2019-12-03T22:06:05Z","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.01703","snapshot_observed_at":"2026-08-04T12:43:03.580830Z","title":"arXiv preprint arXiv:1912.01703 , year=","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.580830Z"},"links":{"cited_paper":"/paper/1912.01703","citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:b47b067592968391561572a8f50afe2e50952d829bfe14e00367af9cdb698c09","observation_id":"dccb80c2-9bdd-41bb-b192-dfa6d0113c24","resolution":{"observed_at":"2026-08-04T12:43:03.580830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.03771","last_updated":"2020-07-14T03:42:34Z","snapshot_observed_at":"2026-07-06T08:27:58.343233Z","submitted_at":"2019-10-09T03:23:22Z","title":"HuggingFace's Transformers: State-of-the-art Natural Language Processing","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.03771","snapshot_observed_at":"2026-08-04T12:43:03.642108Z","title":"arXiv preprint arXiv:1910.03771 , year=","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.642108Z"},"links":{"cited_paper":"/paper/1910.03771","citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:a3f54f7995493edebaf2e89e8e0ea81133a07317df136d90a57a40043d6b14cd","observation_id":"5120f336-e9cc-47f0-8734-681c5fa1b609","resolution":{"observed_at":"2026-08-04T12:43:03.642108Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:03.740714Z","title":"Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.740714Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:29d46bb20212172c09ad7314564f0d878282f1b9635d036db1cb70ea7d2243d0","observation_id":"620916bc-ffd6-4f6f-9614-30caa962d6b2","resolution":{"observed_at":"2026-08-04T12:43:03.740714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:03.787764Z","title":"ACM Transactions on Information Systems , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.787764Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:e75c5bae9715865c5603c7a5cfd03b4b0ca79c698c7c578585bfe4bff8747b82","observation_id":"47a79554-932f-4731-b98c-7ab3988466e7","resolution":{"observed_at":"2026-08-04T12:43:03.787764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:03.827673Z","title":"Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.827673Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:4f9ee6903f924f29d6907e7bfab901ea909abf8c91f268f2227cf418f140ad59","observation_id":"223b949c-ae16-4ecc-b5d8-0406fdc3b6d1","resolution":{"observed_at":"2026-08-04T12:43:03.827673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:03.889956Z","title":"Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.889956Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:c185b5896a7879557263695c6d798cc5ee972e0ac9140230b7c926b9b8ca4320","observation_id":"e7dfea6c-a80f-438e-8e15-2d20cf304425","resolution":{"observed_at":"2026-08-04T12:43:03.889956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:03.979715Z","title":"Findings of the Association for Computational Linguistics: ACL 2023 , pages=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:03.979715Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:85601667a235dd21f0a4e0ffa6c2b208c55e068c91ed44e3c8e6c1d3eb859dc4","observation_id":"c8da7a30-e630-4a7d-aaf9-408b8c469a87","resolution":{"observed_at":"2026-08-04T12:43:03.979715Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:04.094273Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:04.094273Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:c22fd0f1d7acb0259bfcbe460577c57b105c4150d228ea5a387464c66f45432e","observation_id":"cb64a927-bf03-4fc2-a3cb-45c32d541b24","resolution":{"observed_at":"2026-08-04T12:43:04.094273Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:04.222237Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:04.222237Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:e83eb651591bf4cd9c1a4cba0ba9d2de94a75e73defb07db2715c807a7a2d8e0","observation_id":"833af02a-04f1-425d-ad0e-5cb79a3f406f","resolution":{"observed_at":"2026-08-04T12:43:04.222237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:04.388685Z","title":"Proceedings of the 58th annual meeting of the association for computational linguistics , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:04.388685Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:0ef7313e2c8625f9951a19a618a7ed064c699214fbbeafe3577f6ba87d9004c1","observation_id":"4e7a1f95-08fb-492f-ac4d-197c502d77cc","resolution":{"observed_at":"2026-08-04T12:43:04.388685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:04.481417Z","title":"Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:04.481417Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:d841ba02a14e9c09fea09dfd0d5295833068da55915a8f1e981c9b0055ca0168","observation_id":"fbcfd64c-62f8-4668-bbb2-8e4a338d544a","resolution":{"observed_at":"2026-08-04T12:43:04.481417Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:04.571102Z","title":"Proceedings of the 60th annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:04.571102Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:149476c01333e744afabe0130b71cf78c4b73c4b4eba5b6978cdf41db5fb7e80","observation_id":"428972e7-3e1c-4b77-8abc-78f65a8c6f73","resolution":{"observed_at":"2026-08-04T12:43:04.571102Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:04.685263Z","title":"Proceedings of the 2022 conference on empirical methods in natural language processing , pages=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:04.685263Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:507047b75b6fcfb56182623fe33d7f57f72e15c15add7f86ef6f5794ebf4b104","observation_id":"708ef79e-a80f-48d7-afaa-19161a0c70d0","resolution":{"observed_at":"2026-08-04T12:43:04.685263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:04.864130Z","title":"Proceedings of the 2021 conference on empirical methods in natural language processing , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:04.864130Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:c0dd994a6c2f4acf5094fe7b60e30b3b29e0bfcade3e25344c9a3a3d6cf0ad3f","observation_id":"0e006769-f7c2-4345-80d4-890f640be8e8","resolution":{"observed_at":"2026-08-04T12:43:04.864130Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.03518","last_updated":"2020-02-12T23:28:06Z","snapshot_observed_at":"2026-08-04T21:16:57.958939Z","submitted_at":"2020-02-10T03:27:21Z","title":"Multilingual Alignment of Contextual Word Representations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.03518","snapshot_observed_at":"2026-08-04T12:43:04.971501Z","title":"arXiv preprint arXiv:2002.03518 , year=","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:04.971501Z"},"links":{"cited_paper":"/paper/2002.03518","citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:8590ffff09a1293e1275d620491d1d0033d186520a4b565b5cf100cbd4720f71","observation_id":"5453c998-3dbf-4ddc-88b0-ee7bad3799d0","resolution":{"observed_at":"2026-08-04T12:43:04.971501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:05.036468Z","title":"Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:05.036468Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:f53d1dbe6719b21c45534476948f394c9aa57525a1e24919a4c2fd7a7fc31cef","observation_id":"e253c2db-b202-48b4-a2a3-38fce74b89d7","resolution":{"observed_at":"2026-08-04T12:43:05.036468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:05.098547Z","title":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:05.098547Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:1a6465b32795fdb20ac101f014ef2ad3ef6b0e49d69ce020004407dbc89f39bd","observation_id":"caf0a64b-9665-444e-b1e9-9aa57047f672","resolution":{"observed_at":"2026-08-04T12:43:05.098547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:05.150116Z","title":"Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:05.150116Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:406cb491a28337e43e2d02c223e2d6fa6d2cd93967116ca51a7503eafca2aa78","observation_id":"ff5d20bc-be18-4ff4-9de5-a0a19f769085","resolution":{"observed_at":"2026-08-04T12:43:05.150116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:05.204440Z","title":"2010 , publisher=","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:05.204440Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:c137997d786e289dbab62e072af4948b1f7a2e87fe9ff618e4224aced0827c69","observation_id":"37ebd405-de9e-4a2f-af54-84653e21cf04","resolution":{"observed_at":"2026-08-04T12:43:05.204440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:05.294961Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:05.294961Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:c7783a97d9649a9584ecf22381e79ce34eb76855a4142335f639d511e64dd6d8","observation_id":"7c715e3f-31fb-41d8-9099-3d122ad28aea","resolution":{"observed_at":"2026-08-04T12:43:05.294961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:05.400604Z","title":"Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:05.400604Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:12938c50d8775103c03d54352dfe4777d69bebb073c6c2c3d34c1f4d4a14829f","observation_id":"ca286b33-81a3-45b9-afc6-f803d3872102","resolution":{"observed_at":"2026-08-04T12:43:05.400604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:05.472538Z","title":"Findings of the Association for Computational Linguistics: ACL 2024 , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:05.472538Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:675198cae67e92d333b9ceca1f9745ddc512b1bba62d1e411004d7a6e8a636e1","observation_id":"b4835d54-a9f7-449b-8b64-4f6f834a6724","resolution":{"observed_at":"2026-08-04T12:43:05.472538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:05.545332Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:05.545332Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:aee17efd2dd77b3aa681191a2797d6268710eea28493e8d3854ef9bb0ca1a275","observation_id":"7ac6bfdc-0dd5-48fa-b104-3da84cdc94b9","resolution":{"observed_at":"2026-08-04T12:43:05.545332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:05.589711Z","title":"European Conference on Information Retrieval , pages=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:05.589711Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:9ffd816ab4133a4fad8e67f0e160a575b7717adf63967e356dcb83cce5ef2864","observation_id":"b0b6b14c-2bae-49fc-bb0a-c8cd9f645411","resolution":{"observed_at":"2026-08-04T12:43:05.589711Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:05.690471Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:05.690471Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:11de9afc5312af131374f8514bf9e03db0e7f6deae601bb789ab1258e41195a9","observation_id":"7b411f53-205f-4732-b268-d9ce80917d96","resolution":{"observed_at":"2026-08-04T12:43:05.690471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:05.786293Z","title":"IEEE Transactions on Knowledge and Data Engineering , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:05.786293Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:f266f6c60d9d2e9129c32f6920666166fa5c9bdc4078cf4a74a11c0dcb0fad9a","observation_id":"21b2d7d9-5d26-4982-a7bf-ba3eb0f93cf7","resolution":{"observed_at":"2026-08-04T12:43:05.786293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:05.873629Z","title":"IEEE Transactions on image processing , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:05.873629Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:9d69ef6240e85a04db6526877ac7050ed44a775bda5689ea786b758efa820e58","observation_id":"93c4148b-e16e-4037-b26e-cc43e6eb741a","resolution":{"observed_at":"2026-08-04T12:43:05.873629Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:06.022014Z","title":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-04T12:43:06.022014Z"},"links":{"citing_paper":"/paper/2608.02189"},"observation_digest":"sha256:dcc45e0a6401cf836a3107f0f3016a291ae008dc110ab11d8dbc4795869ef3c1","observation_id":"4743e376-cd45-48b1-a0ca-7346865c0246","resolution":{"observed_at":"2026-08-04T12:43:06.022014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.02189","last_updated":"2026-08-03T13:13:15Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-16T16:32:00.740213Z","submitted_at":"2026-08-03T13:13:15Z","title":"Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval"},"reference_resolution":{"displayed":40,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":40,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":40},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2608.02189."}