{"as_of":"2026-08-08T16:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d44a321e8fb6553c1c87d353903be7015f6ad79401898ac9eb5260e8d346f677","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T19:19:38.301005Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T00:46:36.000415Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T21:18:58.530467Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"cited_work":{"arxiv_id":"2502.10140","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.10140","snapshot_observed_at":"2026-07-03T21:18:58.530467Z","title":"arXiv preprint arXiv:2502.10140 (2025)","venue":null,"work_id":"62d74daf-38d7-413d-9d00-99c4e700b825","year":2025},"citing_paper":{"arxiv_id":"2408.01119","last_updated":"2026-05-12T18:55:05Z","snapshot_observed_at":"2026-08-03T11:44:22.495911Z","submitted_at":"2024-08-02T09:00:03Z","title":"Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-23T22:11:59.206066Z"},"links":{"cited_paper":"/paper/2502.10140","citing_paper":"/paper/2408.01119"},"observation_digest":"sha256:c5df5c55c047bbdf1419c9fde27aea8e8ff19aec37ae5862034cec9db78927f9","observation_id":"e3b2ab46-5250-44e7-b093-6a442babd97c","resolution":{"observed_at":"2026-05-23T22:13:30.148330Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"cited_work":{"arxiv_id":"2502.10140","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.10140","snapshot_observed_at":"2026-07-03T21:18:58.530467Z","title":"arXiv preprint arXiv:2502.10140 (2025)","venue":null,"work_id":"62d74daf-38d7-413d-9d00-99c4e700b825","year":2025},"citing_paper":{"arxiv_id":"2606.18389","last_updated":"2026-06-16T18:34:21Z","snapshot_observed_at":"2026-08-05T12:39:23.330047Z","submitted_at":"2026-06-16T18:34:21Z","title":"Want Better Synthetic Data? Steer It: Activation Steering for Low-Resource Language Generation","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-06-27T00:46:36.000415Z"},"links":{"cited_paper":"/paper/2502.10140","citing_paper":"/paper/2606.18389"},"observation_digest":"sha256:05a53ecac0c87c17d428e7561e73f3c3c24268249a52e1f621828d838c1b62e6","observation_id":"cddf229d-ee9c-4664-908c-70b5049d8621","resolution":{"observed_at":"2026-07-03T21:18:58.532194Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.10140/citation-record","integrity":"/paper/2502.10140/integrity","json":"/paper/2502.10140/citation-record.json","paper":"/paper/2502.10140"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1411.4166","last_updated":"2015-03-22T17:55:20Z","snapshot_observed_at":"2026-08-04T23:37:47.658650Z","submitted_at":"2014-11-15T17:34:20Z","title":"Retrofitting Word Vectors to Semantic Lexicons","version":4},"cited_work":{"arxiv_id":"1411.4166","doi":null,"metadata_source":"pith","pith_arxiv_id":"1411.4166","snapshot_observed_at":"2026-08-07T19:19:38.483274Z","title":"Retrofitting Word Vectors to Semantic Lexicons","venue":"cs.CL","work_id":"cc56638d-f50d-4db1-9749-74799659dba1","year":2014},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.175766Z"},"links":{"cited_paper":"/paper/1411.4166","citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:d4393818f9bb0690c2696917dd236f36aa62c3cee163ee88fad501d3f824a65f","observation_id":"2f48a014-6c5f-4189-9884-882e746eff2b","resolution":{"observed_at":"2026-08-07T19:19:38.492918Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:19:38.700187Z","title":"In International Conference on Machine Learning, pages 2790–2799","venue":null,"work_id":"a4ce3506-3590-4a93-854b-ce5745cfefc7","year":null},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.183121Z"},"links":{"citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:aff3dc330868c817622172905a1b91dd0a4522fd24631eda85752f2bbe7de682","observation_id":"f6aff06c-cc2f-4d59-8749-efc1fc7f4b73","resolution":{"observed_at":"2026-08-07T19:19:38.745312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:19:38.590631Z","title":"Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kass- ner, Chunlan Ma, Helmut Schmid, André Martins, FrançoisYvon,andHinrichSchütze.2023","venue":null,"work_id":"64ef1329-60e9-4f51-b091-a71a57796aa7","year":2023},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.194169Z"},"links":{"citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:9f107d5f7c65f9b590109908342c24c583fc0f84577af3173d5c409edf98f3a0","observation_id":"b1f9a61a-e61a-42da-8d09-1e2246b1c45d","resolution":{"observed_at":"2026-08-07T19:19:38.595396Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:19:38.555042Z","title":"InProceedings of the 7th Workshop onBalto-SlavicNaturalLanguageProcessing ,pages 114–119, Florence, Italy","venue":null,"work_id":"006475d1-54d8-4bbf-8beb-6d4594e2e817","year":null},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.217944Z"},"links":{"citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:d61f7c586c68ef50debf028fe80025c38b64ca8bf206d8ebfaecf71c00acbd95","observation_id":"7bd1d735-8cc0-49fb-bdce-12c7b349b823","resolution":{"observed_at":"2026-08-07T19:19:38.560882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:19:38.537576Z","title":"In2019 International Conference of Advanced Informat- ics: Concepts, Theory and Applications (ICAICTA), pages 1–5","venue":null,"work_id":"1151558e-e8bc-43af-a3af-1a507235ddbe","year":2018},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.237919Z"},"links":{"citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:a36223821935c45ae44647a860e6bc32b0946928f0fa599bc770a05aa8cc7ed6","observation_id":"97c1f72f-e74e-4e5f-89a7-5688f6519c6d","resolution":{"observed_at":"2026-08-07T19:19:38.542571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.14659","last_updated":"2021-01-01T00:00:14Z","snapshot_observed_at":"2026-07-06T08:33:53.451500Z","submitted_at":"2019-10-31T17:51:21Z","title":"Masked Language Model Scoring","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.14659","snapshot_observed_at":"2026-08-07T19:19:38.258849Z","title":"Transactions on Asian and Low-Resource Language Information Processing, 20(4):1–23","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.258849Z"},"links":{"cited_paper":"/paper/1910.14659","citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:c50d4e5725daaa6741e9f56596583d0e54f2593735cfc55c579e1d66df145a61","observation_id":"7e570d99-06c6-4b2d-b257-6ae8c2c1fa46","resolution":{"observed_at":"2026-08-07T19:19:38.258849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-07T19:19:38.301005Z","title":"InProceedings of the 16th Conference of the European Chapter of the As- sociation for Computational Linguistics: Main Vol- ume, pages 949–956, Online","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.301005Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:4f47cd939665bb54db22e03a8702e3861e23b1a128f85c776d6df1f987d84439","observation_id":"46450c03-6d14-4997-9d6f-af8e28ed4e3e","resolution":{"observed_at":"2026-08-07T19:19:38.301005Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.01204","last_updated":"2022-05-02T20:44:12Z","snapshot_observed_at":"2026-08-08T14:59:13.882401Z","submitted_at":"2022-05-02T20:44:12Z","title":"Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language","version":1},"cited_work":{"arxiv_id":"2205.01204","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.01204","snapshot_observed_at":"2026-08-07T19:19:38.400374Z","title":"Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language","venue":"cs.CL","work_id":"4d5aa566-5854-4f21-b8cb-b5c207f843a2","year":2022},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":2011,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.211758Z"},"links":{"cited_paper":"/paper/2205.01204","citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:c2b5592625276e28e7867b3daff97eddd80942b541d25f9c145cf069898bb437","observation_id":"c2c3dda3-9dc0-471c-9dd3-07c5a4e5538e","resolution":{"observed_at":"2026-08-07T19:19:38.424260Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09110","last_updated":"2023-10-01T21:44:23Z","snapshot_observed_at":"2026-08-01T19:14:56.803459Z","submitted_at":"2022-11-16T18:51:34Z","title":"Holistic Evaluation of Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.09110","snapshot_observed_at":"2026-08-07T19:19:38.204950Z","title":"In Proceedings of the International Confer- enceRecentAdvancesinNaturalLanguageProcess- ing,pages249–257,Hissar,Bulgaria.INCOMALtd","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.204950Z"},"links":{"cited_paper":"/paper/2211.09110","citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:978d959659bbf5191e817902aa6d7b3210634a9de6c1fbe85b589d456182c835","observation_id":"298370d4-fe6e-481a-ae59-4f4ed00a8fd4","resolution":{"observed_at":"2026-08-07T19:19:38.204950Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14857","last_updated":"2023-05-24T08:06:33Z","snapshot_observed_at":"2026-08-08T14:58:05.525553Z","submitted_at":"2023-05-24T08:06:33Z","title":"BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14857","snapshot_observed_at":"2026-08-07T19:19:38.137120Z","title":"In Proceedingsofthe27thInternationalConferenceon ComputationalLinguistics,pages2242–2252,Santa Fe, New Mexico, USA","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.137120Z"},"links":{"cited_paper":"/paper/2305.14857","citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:669dcd7f62c7cdf82a040dcc23089136ac24827888757449485e05a9f2107a06","observation_id":"ea5f5724-0e07-454e-baf9-6e2dd7c24250","resolution":{"observed_at":"2026-08-07T19:19:38.137120Z","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":"2026-08-07T19:19:38.775917Z","title":"Fabio Barth, Manuel Brack, Maurice Kraus, Pedro Or- tiz Suarez, Malte Ostendorf, Patrick Schramowski, and Georg Rehm","venue":null,"work_id":"3000a302-e17c-4837-8835-5004cef24556","year":2024},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.159384Z"},"links":{"citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:95f8d751d538a3f49429b7a6d534d02a3d57b1f3f4ac70eebbcf2cb9a12e9110","observation_id":"55843c0c-2f48-41b8-924c-244df4ecc472","resolution":{"observed_at":"2026-08-07T19:19:38.782915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:19:38.606954Z","title":"In International Conference on Machine Learning, pages 4411–4421","venue":null,"work_id":"8d0c0db3-2b3e-4c8d-af5d-a0e7e90a6c5c","year":null},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.189110Z"},"links":{"citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:319874b78f71b9c7b3e01ef0c0e3a5926c589a99bf33821f9036a06f4fbd9224","observation_id":"76d9bc30-e742-4ec6-902e-e65fcc83a7ee","resolution":{"observed_at":"2026-08-07T19:19:38.646624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T19:19:38.572402Z","title":"ShaoxiongJi,ZihaoLi,IndraneilPaul,JaakkoPaavola, PeiqinLin,PinzhenChen,DayyánO’Brien,Hengyu Luo, Hinrich Schütze, Jörg Tiedemann, and Barry Haddow","venue":null,"work_id":"9b78e3d1-8695-4267-b38f-2acb0ae4c2e6","year":2024},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.199396Z"},"links":{"citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:af5ec21a86829fd5443261088026f1efbbf136e658b4e19c1c5611694990738c","observation_id":"43ab6ad6-7f29-440c-9133-33ef2664d404","resolution":{"observed_at":"2026-08-07T19:19:38.577586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1809.05053","last_updated":"2018-09-13T16:39:53Z","snapshot_observed_at":"2026-08-07T19:31:05.439791Z","submitted_at":"2018-09-13T16:39:53Z","title":"XNLI: Evaluating Cross-lingual Sentence Representations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.05053","snapshot_observed_at":"2026-08-07T19:19:38.170108Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.170108Z"},"links":{"cited_paper":"/paper/1809.05053","citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:3573623c182b2d0e00620de7d8c9007cc30e8568ba7d14074d4e1ff2a9701a40","observation_id":"9f173914-a147-4453-8986-3b85ac389314","resolution":{"observed_at":"2026-08-07T19:19:38.170108Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13888","last_updated":"2023-06-24T07:27:53Z","snapshot_observed_at":"2026-07-06T15:46:13.880066Z","submitted_at":"2023-06-24T07:27:53Z","title":"L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models","version":1},"cited_work":{"arxiv_id":"2306.13888","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.13888","snapshot_observed_at":"2026-08-07T19:19:38.374613Z","title":"L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models","venue":"cs.CL","work_id":"d3733c41-9d07-45d6-9682-a8f4c6340376","year":2023},"citing_paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T19:19:38.223286Z"},"links":{"cited_paper":"/paper/2306.13888","citing_paper":"/paper/2502.10140"},"observation_digest":"sha256:c760447c16b22c0ba68626c10463d4f25bce5b62dfc2058e8087f212d8c8d908","observation_id":"68664662-0ce2-48de-9d4d-012804c3a43b","resolution":{"observed_at":"2026-08-07T19:19:38.382018Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.10140","last_updated":"2025-02-14T13:10:39Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T14:58:31.254581Z","submitted_at":"2025-02-14T13:10:39Z","title":"Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":1,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":7},"total_outbound_references":15},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 2 inbound Pith citation observations for arXiv:2502.10140."}