{"as_of":"2026-08-13T13:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2371da44ea8b0dcfb34abb61449da4cdab1f4a0b2f7ae93177ee8a2592ef5bad","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T17:06:27.078948Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2411.12921/citation-record","integrity":"/paper/2411.12921/integrity","json":"/paper/2411.12921/citation-record.json","paper":"/paper/2411.12921"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2010.00768","last_updated":"2020-10-02T03:54:56Z","snapshot_observed_at":"2026-08-06T07:50:42.730438Z","submitted_at":"2020-10-02T03:54:56Z","title":"SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.00768","snapshot_observed_at":"2026-08-12T17:06:26.740360Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.740360Z"},"links":{"cited_paper":"/paper/2010.00768","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:2b5f2bacf94dcf8bd097934d478ba97c7d3d49c28cf9d36eed47facb015acb50","observation_id":"82aa69f1-3936-4956-a048-2d9bdc2320cc","resolution":{"observed_at":"2026-08-12T17:06:26.740360Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-12T17:06:26.751228Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.751228Z"},"links":{"cited_paper":"/paper/1611.09268","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:512b5ddda1e5370c518a99f13c31928164c4a837a16661a5c24317b4151e2f46","observation_id":"0f1a9c11-cc54-4d7f-b282-69be89bcb1e5","resolution":{"observed_at":"2026-08-12T17:06:26.751228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:06:28.633193Z","title":"In: Jurafsky, D., Chai, J., Schluter, N., Tetreault, J","venue":null,"work_id":"e8cd9b67-8050-441a-99bf-d583b9420b96","year":2020},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.762323Z"},"links":{"citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:a61aa2fffa36a790bdbb948f32f1fe5bc3f83ba0a311fbafd8273a188abe9eba","observation_id":"2d841187-0c41-4c6c-9625-8d538f3dc93b","resolution":{"observed_at":"2026-08-12T17:06:28.642549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.13921","last_updated":"2023-11-23T11:14:13Z","snapshot_observed_at":"2026-08-13T05:19:06.874756Z","submitted_at":"2023-11-23T11:14:13Z","title":"Some Like It Small: Czech Semantic Embedding Models for Industry Applications","version":1},"cited_work":{"arxiv_id":"2311.13921","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.13921","snapshot_observed_at":"2026-08-12T17:06:28.389308Z","title":"Some Like It Small: Czech Semantic Embedding Models for Industry Applications","venue":"cs.CL","work_id":"bb5559eb-e861-462f-b703-27fef0e1758b","year":2023},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.771137Z"},"links":{"cited_paper":"/paper/2311.13921","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:482a427d09fab1616c3ce8519ffdf989f7017a59b7bb4c6a8540d52c0e330ddc","observation_id":"4b542051-4a98-4143-8294-6fd9cdd95076","resolution":{"observed_at":"2026-08-12T17:06:28.400081Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03216","last_updated":"2025-12-12T11:26:32Z","snapshot_observed_at":"2026-07-06T17:25:35.493362Z","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":"2026-08-12T17:06:26.779908Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.779908Z"},"links":{"cited_paper":"/paper/2402.03216","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:eeef96e1fdf7a8ba39d4e30bb960fdd9264af3e41ae8289e6bb610712d0fdb5b","observation_id":"daecff3a-e16a-45d2-9e0c-36de9966d2d0","resolution":{"observed_at":"2026-08-12T17:06:26.779908Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-12T17:06:26.792311Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.792311Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:5d2792e61ac1e155616f8cfbe530ad6da9e92164850f51e876e9bd3f712872ca","observation_id":"b488f97b-ad83-48e1-a5d5-f6771b535a86","resolution":{"observed_at":"2026-08-12T17:06:26.792311Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02396","last_updated":"2024-06-04T15:11:27Z","snapshot_observed_at":"2026-08-13T09:07:59.746237Z","submitted_at":"2024-06-04T15:11:27Z","title":"The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02396","snapshot_observed_at":"2026-08-12T17:06:26.811802Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.811802Z"},"links":{"cited_paper":"/paper/2406.02396","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:0e23884b665308f0b5df24033986d32ffc331152b709c6595204acda0c371078","observation_id":"edeec88c-686c-4fc3-bbd1-d9d88d901a82","resolution":{"observed_at":"2026-08-12T17:06:26.811802Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.04733","last_updated":"2022-05-12T14:58:24Z","snapshot_observed_at":"2026-08-13T12:30:04.650145Z","submitted_at":"2022-05-10T08:08:43Z","title":"From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective","version":2},"cited_work":{"arxiv_id":"2205.04733","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.04733","snapshot_observed_at":"2026-08-12T17:06:28.153003Z","title":"From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective","venue":"cs.IR","work_id":"ef56ccf8-9635-4248-ad9b-6902718a0e3e","year":2022},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.829708Z"},"links":{"cited_paper":"/paper/2205.04733","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:f2d90157c89dba62198834cdd01f07bc7bfda322a55716ee9129fbf51c82a5a1","observation_id":"9add2142-cfcc-473f-a705-284fe380f5ba","resolution":{"observed_at":"2026-08-12T17:06:28.162608Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.05720","last_updated":"2021-07-12T20:17:44Z","snapshot_observed_at":"2026-08-09T00:10:00.273522Z","submitted_at":"2021-07-12T20:17:44Z","title":"SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.05720","snapshot_observed_at":"2026-08-12T17:06:26.838562Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.838562Z"},"links":{"cited_paper":"/paper/2107.05720","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:c7cf46514375f46b3175edb9684d8b440f3006c7e266be43e1faf9482b99ac3b","observation_id":"18455069-f29a-456e-af5f-a36fa3cfcd4b","resolution":{"observed_at":"2026-08-12T17:06:26.838562Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08821","last_updated":"2022-05-18T12:29:49Z","snapshot_observed_at":"2026-07-06T11:01:05.577957Z","submitted_at":"2021-04-18T11:27:08Z","title":"SimCSE: Simple Contrastive Learning of Sentence Embeddings","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08821","snapshot_observed_at":"2026-08-12T17:06:26.846248Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.846248Z"},"links":{"cited_paper":"/paper/2104.08821","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:e7ea20139b5cacb1a0245633f61e1a9dc9643b9a5461e291b84f69fc4743dfb6","observation_id":"2bee8b5e-755a-443d-9f7e-ea94093d4aa7","resolution":{"observed_at":"2026-08-12T17:06:26.846248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-12T17:06:26.853364Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.853364Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:c1506d1afb379e62dd738ddd3a10b42b8fcd378d275ce37843af508040456a15","observation_id":"1a6623c6-9864-4141-9be4-92702a220b50","resolution":{"observed_at":"2026-08-12T17:06:26.853364Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.03300","last_updated":"2021-01-12T18:57:11Z","snapshot_observed_at":"2026-08-10T12:35:09.020030Z","submitted_at":"2020-09-07T17:59:25Z","title":"Measuring Massive Multitask Language Understanding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.03300","snapshot_observed_at":"2026-08-12T17:06:26.864685Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.864685Z"},"links":{"cited_paper":"/paper/2009.03300","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:530a72910657457e5503b5ac510eb3865f667cd32dbcc97a07b1c3150c7c4004","observation_id":"7d999304-5822-4ca4-ab44-99a5a1f4caf7","resolution":{"observed_at":"2026-08-12T17:06:26.864685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.12832","last_updated":"2020-06-04T05:28:21Z","snapshot_observed_at":"2026-08-09T14:19:22.545430Z","submitted_at":"2020-04-27T14:21:03Z","title":"ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.12832","snapshot_observed_at":"2026-08-12T17:06:26.872029Z","title":"CoRR abs/2004.12832 (2020), https: //arxiv.org/abs/2004.12832","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.872029Z"},"links":{"cited_paper":"/paper/2004.12832","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:5e5620a98b34907418cac83f02ef90fcc385151393b8a5f336a1944fdc73a4b7","observation_id":"735cced2-125a-4df6-808d-759b5b657914","resolution":{"observed_at":"2026-08-12T17:06:26.872029Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.01810","last_updated":"2021-12-03T09:45:18Z","snapshot_observed_at":"2026-08-06T23:00:14.327956Z","submitted_at":"2021-12-03T09:45:18Z","title":"Siamese BERT-based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset","version":1},"cited_work":{"arxiv_id":"2112.01810","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.01810","snapshot_observed_at":"2026-08-12T17:06:27.900323Z","title":"Siamese BERT-based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset","venue":"cs.IR","work_id":"2a22eb67-920b-4d48-aef2-d2d4b0bafea0","year":2021},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.880116Z"},"links":{"cited_paper":"/paper/2112.01810","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:02b302bb12a3c42182d5f115b1d28df9011607e05b5636adeaa06e428e3ce6f0","observation_id":"6d7694ee-8278-442a-a90c-dd01a35e130e","resolution":{"observed_at":"2026-08-12T17:06:27.912500Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.03006","last_updated":"2020-07-06T18:48:11Z","snapshot_observed_at":"2026-08-07T02:51:49.350027Z","submitted_at":"2020-07-06T18:48:11Z","title":"Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawords","version":1},"cited_work":{"arxiv_id":"2007.03006","doi":null,"metadata_source":"pith","pith_arxiv_id":"2007.03006","snapshot_observed_at":"2026-08-12T17:06:27.842101Z","title":"Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawords","venue":"cs.CL","work_id":"03035b75-fc49-4c98-9fee-21c21503a2bc","year":2020},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.890559Z"},"links":{"cited_paper":"/paper/2007.03006","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:68a5c666ac2ae42db838ee2618030633895e8884285eb5ef8d9456c0c5423248","observation_id":"bd855f40-7a51-49f1-a6c2-5e28ed830e59","resolution":{"observed_at":"2026-08-12T17:06:27.857116Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12840","last_updated":"2024-07-30T02:19:13Z","snapshot_observed_at":"2026-08-13T04:14:41.962036Z","submitted_at":"2024-02-20T09:07:41Z","title":"ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12840","snapshot_observed_at":"2026-08-12T17:06:26.897855Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.897855Z"},"links":{"cited_paper":"/paper/2402.12840","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:fea79498a21697a3da79279076f54a63f14f3df0768fc6fb05301b6917009afb","observation_id":"e7a0c614-fb87-46b3-8225-04f8f9173b4b","resolution":{"observed_at":"2026-08-12T17:06:26.897855Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:06:28.599262Z","title":null,"venue":null,"work_id":"145a24e5-3f60-4e6a-abfd-e70db58a0627","year":2023},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.904703Z"},"links":{"citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:5baddadcf54b0e8fb46b94397f1fdf252189ab3a1e0034f2c0ee049b19904b9f","observation_id":"51396199-4fe8-4316-be1f-1a11504c180b","resolution":{"observed_at":"2026-08-12T17:06:28.607411Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07316","last_updated":"2023-03-19T13:37:01Z","snapshot_observed_at":"2026-07-06T14:04:58.943383Z","submitted_at":"2022-10-13T19:42:08Z","title":"MTEB: Massive Text Embedding Benchmark","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.07316","snapshot_observed_at":"2026-08-12T17:06:26.915923Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.915923Z"},"links":{"cited_paper":"/paper/2210.07316","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:386c461de4c31ee7f49d8bd4f969516665111f9b2cf91eb94a232b94ef50489c","observation_id":"4ec51b72-e446-4edf-94bb-8f3acb0ade23","resolution":{"observed_at":"2026-08-12T17:06:26.915923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.12741","last_updated":"2021-04-26T17:34:31Z","snapshot_observed_at":"2026-07-06T11:03:46.487721Z","submitted_at":"2021-04-26T17:34:31Z","title":"GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.12741","snapshot_observed_at":"2026-08-12T17:06:26.926117Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.926117Z"},"links":{"cited_paper":"/paper/2104.12741","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:3e83da5cf84069d3da5b1a7cc258bb02164f113234ba2b18d97a0bdc0423e6ed","observation_id":"09eade8e-5606-4a68-8c4e-114fa684df22","resolution":{"observed_at":"2026-08-12T17:06:26.926117Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.08471","last_updated":"2022-01-20T22:11:38Z","snapshot_observed_at":"2026-08-03T15:39:05.029662Z","submitted_at":"2022-01-20T22:11:38Z","title":"Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.08471","snapshot_observed_at":"2026-08-12T17:06:26.931761Z","title":"In: Proceedings of the 44th European Conference on Information Retrieval (ECIR) (2022), https://arxiv.org/abs/2201.08471","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.931761Z"},"links":{"cited_paper":"/paper/2201.08471","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:bd0fd511af5762996422e63a3820fce17a47c37c1acd3308cded9a968fd02149","observation_id":"257b5e7e-f598-449b-87a5-9084ab906284","resolution":{"observed_at":"2026-08-12T17:06:26.931761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.10005","last_updated":"2022-01-24T23:36:20Z","snapshot_observed_at":"2026-07-06T12:30:51.934079Z","submitted_at":"2022-01-24T23:36:20Z","title":"Text and Code Embeddings by Contrastive Pre-Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.10005","snapshot_observed_at":"2026-08-12T17:06:26.942260Z","title":"arXiv preprint arXiv:2201.10005 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.942260Z"},"links":{"cited_paper":"/paper/2201.10005","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:a48656e81af5e2f1a537765e9609a35139df2fa3f32aa7d77238e15505c50e14","observation_id":"6160a0d6-e6ee-41f4-b3f7-980c339c8bca","resolution":{"observed_at":"2026-08-12T17:06:26.942260Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:06:28.560838Z","title":"https://platform.openai.com/docs/ models/embeddings (2023), accessed: 2024-10-29","venue":null,"work_id":"6d6daaa5-d3ae-4066-8782-21b9b0555ef8","year":2023},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.953817Z"},"links":{"citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:daa1d7eb43c5fdce8c17af478d63bac30a9f20bc65226ae08d5ae919b36e4e18","observation_id":"e46ae052-ee73-4072-86c0-33f6e5312daf","resolution":{"observed_at":"2026-08-12T17:06:28.576207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.10138","last_updated":"2026-04-24T15:07:37Z","snapshot_observed_at":"2026-08-03T00:32:28.055605Z","submitted_at":"2024-05-16T14:33:39Z","title":"PL-MTEB: Polish Massive Text Embedding Benchmark","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.10138","snapshot_observed_at":"2026-08-12T17:06:26.962195Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.962195Z"},"links":{"cited_paper":"/paper/2405.10138","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:535e13221e9ea338007323240bd8041f1bf9225939d4b09edeff59780d622b1e","observation_id":"1e552968-b1c8-4b63-93ba-a3c65021cdce","resolution":{"observed_at":"2026-08-12T17:06:26.962195Z","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":"2026-08-12T17:06:26.974731Z","title":"Foundations and Trends in Information Retrieval3, 333–389 (01 2009)","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.974731Z"},"links":{"citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:3c231649dcdacc4937c009d40c4429b0d38f766617d89c6c06a7aa14f29148e2","observation_id":"3b6e462c-c236-4e01-b784-fc6798e73ace","resolution":{"observed_at":"2026-08-12T17:06:26.974731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.09707","last_updated":"2022-05-19T17:19:31Z","snapshot_observed_at":"2026-08-10T03:45:50.087208Z","submitted_at":"2022-05-19T17:19:31Z","title":"PLAID: An Efficient Engine for Late Interaction Retrieval","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.09707","snapshot_observed_at":"2026-08-12T17:06:26.985761Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:26.985761Z"},"links":{"cited_paper":"/paper/2205.09707","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:78741cef8ded87fc173cdc48811d24c80b20fca7be1554ece705f0836e247bb3","observation_id":"d510c0e0-4bc5-4a6e-8adf-0a076b772284","resolution":{"observed_at":"2026-08-12T17:06:26.985761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.01488","last_updated":"2022-07-10T17:28:51Z","snapshot_observed_at":"2026-08-10T16:38:48.073388Z","submitted_at":"2021-12-02T18:38:50Z","title":"ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.01488","snapshot_observed_at":"2026-08-12T17:06:27.001768Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:27.001768Z"},"links":{"cited_paper":"/paper/2112.01488","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:170b9dff27a79a6b2300f967735c0a2538295c6a8ee1a20e2475d4655bf93cbb","observation_id":"5d64a731-6c25-4798-9af1-45ead176ff34","resolution":{"observed_at":"2026-08-12T17:06:27.001768Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00118","last_updated":"2024-10-02T15:22:49Z","snapshot_observed_at":"2026-08-02T16:20:09.773989Z","submitted_at":"2024-07-31T19:13:07Z","title":"Gemma 2: Improving Open Language Models at a Practical Size","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00118","snapshot_observed_at":"2026-08-12T17:06:27.018386Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:27.018386Z"},"links":{"cited_paper":"/paper/2408.00118","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:7b8490b257983048c942b5fd0b64f2409cca5a7a9c8610d070211c3858a85f98","observation_id":"1e43765c-e0c5-43d7-8656-58afd4584ea4","resolution":{"observed_at":"2026-08-12T17:06:27.018386Z","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":"2026-08-12T17:06:27.032865Z","title":"In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:27.032865Z"},"links":{"citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:57f29addd1af62549b6aec6909070ecafd58da6c621093c9ba7d1e4e52e63899","observation_id":"ba0a1750-0be7-4c6a-97ab-fcf962b1a309","resolution":{"observed_at":"2026-08-12T17:06:27.032865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:06:28.517326Z","title":"In: Aletras, N., Androutsopoulos, I., Barrett, L., Goanta, C., Preotiuc- Pietro, D","venue":null,"work_id":"475563b5-7b81-4b10-b00b-10fbfd073fdc","year":null},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:27.044149Z"},"links":{"citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:0bec33baad4daf437c2b7302c64833f1d88b27a7e9f3ca20e292522039cc90cd","observation_id":"fc31e38a-780b-4783-bd06-f46d9a3b4b31","resolution":{"observed_at":"2026-08-12T17:06:28.528928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.07597","last_updated":"2024-09-24T03:01:25Z","snapshot_observed_at":"2026-08-09T21:52:29.568774Z","submitted_at":"2023-09-14T10:57:50Z","title":"C-Pack: Packed Resources For General Chinese Embeddings","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.07597","snapshot_observed_at":"2026-08-12T17:06:27.058369Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:27.058369Z"},"links":{"cited_paper":"/paper/2309.07597","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:7c2cfd44a5190cedab8040d4dea2a9863ed0d7aad9f7d73cd4f04b01088e626a","observation_id":"c031f0e6-5563-414c-b723-1ead7a89bd46","resolution":{"observed_at":"2026-08-12T17:06:27.058369Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04810","last_updated":"2024-01-09T20:40:49Z","snapshot_observed_at":"2026-08-13T04:45:41.707813Z","submitted_at":"2024-01-09T20:40:49Z","title":"Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04810","snapshot_observed_at":"2026-08-12T17:06:27.065167Z","title":"In: Proceed- ings of the 46th European Conference on Information Retrieval (ECIR) (2024), https://arxiv.org/abs/2401.04810","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:27.065167Z"},"links":{"cited_paper":"/paper/2401.04810","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:9102ff21c107d94a72d825d8428d82d55401825779481b5446b555800db8aaec","observation_id":"22ca21f0-b5f6-49c0-9c6b-e6eeb43b332b","resolution":{"observed_at":"2026-08-12T17:06:27.065167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.12402","last_updated":"2024-10-03T15:45:52Z","snapshot_observed_at":"2026-08-12T23:20:31.225362Z","submitted_at":"2024-07-17T08:28:55Z","title":"TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.12402","snapshot_observed_at":"2026-08-12T17:06:27.072283Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:27.072283Z"},"links":{"cited_paper":"/paper/2407.12402","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:e3415e5778e0d7f88a232b9c9686afa425c0e172af77be8f8c9cb12cac6b7d73","observation_id":"dc000d4b-b74a-4e54-9c78-d7eb88b8de3a","resolution":{"observed_at":"2026-08-12T17:06:27.072283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.09984","last_updated":"2022-10-18T16:47:18Z","snapshot_observed_at":"2026-07-06T14:07:19.717932Z","submitted_at":"2022-10-18T16:47:18Z","title":"Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.09984","snapshot_observed_at":"2026-08-12T17:06:27.078948Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:27.078948Z"},"links":{"cited_paper":"/paper/2210.09984","citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:641597c4aea5b844c3cdce46b55fd78106ff794802ed63c2bfb1a516131a8e3b","observation_id":"35ff9c4d-5b45-4218-b9f4-272cd2114237","resolution":{"observed_at":"2026-08-12T17:06:27.078948Z","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":"2026-08-12T17:06:27.051608Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-12T17:06:27.051608Z"},"links":{"citing_paper":"/paper/2411.12921"},"observation_digest":"sha256:fea707369c25babd02dbb7f397953d9da4400d1e71d93941ebcf717bb6405e3b","observation_id":"148982a2-4bc0-4da3-b23d-0dce501bb4b6","resolution":{"observed_at":"2026-08-12T17:06:27.051608Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2411.12921","last_updated":"2024-12-20T23:02:35Z","latest_version":2,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-12T17:00:23.814582Z","submitted_at":"2024-11-19T23:19:46Z","title":"A Comparative Study of Text Retrieval Models on DaReCzech"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":27,"verified_exact":3,"verified_fuzzy":3},"total_outbound_references":34},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2411.12921."}