{"as_of":"2026-08-16T08:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4f5ac27e895eefe19e18fcd2ffed3101658890119d7cee51e9b80f480cf454a6","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T17:25:18.880714Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2412.08955/citation-record","integrity":"/paper/2412.08955/integrity","json":"/paper/2412.08955/citation-record.json","paper":"/paper/2412.08955"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T17:25:19.139114Z","title":"Problem-based learnin g in a programming context-planning and executing a pilot survey on database access in a programming language","venue":null,"work_id":"db0a07b9-db22-4fd7-b839-749ec3eb3801","year":2008},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.804969Z"},"links":{"citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:05a3f08c252a4220b2f81f00b6da1cb4513ace7359064f67f34b670758a291c8","observation_id":"3fbebde2-83e2-45f4-85fb-83f897a44f37","resolution":{"observed_at":"2026-08-11T17:25:19.144781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.12961","last_updated":"2023-03-24T21:50:03Z","snapshot_observed_at":"2026-08-13T12:18:49.838767Z","submitted_at":"2023-03-22T23:54:14Z","title":"The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.12961","snapshot_observed_at":"2026-08-11T17:25:18.825603Z","title":"URLhttps://doi.org/10.48550/arXiv.2303.12961","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.825603Z"},"links":{"cited_paper":"/paper/2303.12961","citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:0aefb4cb0eb6d4d1535cd3fba7498c0e76b53d82d3be0bef1c5d35a5e1fef663","observation_id":"2d3e71c8-ba28-42bb-b9f6-deeb0a3ad366","resolution":{"observed_at":"2026-08-11T17:25:18.825603Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.06435","last_updated":"2024-10-17T01:10:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-12T20:01:52Z","title":"A Comprehensive Overview of Large Language Models","version":10},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.06435","snapshot_observed_at":"2026-08-11T17:25:18.831322Z","title":"URL https://doi.org/10.48550/arXiv.2307.06435","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.831322Z"},"links":{"cited_paper":"/paper/2307.06435","citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:144bcea825b64a9b63d4b957ae75f8fc151ebe023c57c879411e43e39e6d2382","observation_id":"6d4bb7f7-859a-4c7b-ab1a-c6f71988dc77","resolution":{"observed_at":"2026-08-11T17:25:18.831322Z","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":"2026-08-11T17:25:18.847334Z","title":"URL https://doi.org/10.1145/3624724","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.847334Z"},"links":{"citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:8bb97ff798a820f3105b01ee1c3c51dd7949c67aaf058e02c0a9d05f062ac5fc","observation_id":"fdc75b87-55f1-4ce4-bfd5-a5bb11260f22","resolution":{"observed_at":"2026-08-11T17:25:18.847334Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14294","last_updated":"2024-07-19T04:47:36Z","snapshot_observed_at":"2026-07-06T18:03:47.096406Z","submitted_at":"2024-04-22T15:53:08Z","title":"A Survey on Efficient Inference for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14294","snapshot_observed_at":"2026-08-11T17:25:18.836785Z","title":"URLhttps://doi.org/10.48550/arXiv.2404.14294","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.836785Z"},"links":{"cited_paper":"/paper/2404.14294","citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:c5747f418e7fc220cfb883b51f119744d3dc3548b9148bbc3664967a2627400a","observation_id":"5dfa5da6-83a1-407f-b4ab-f0e1490460f9","resolution":{"observed_at":"2026-08-11T17:25:18.836785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00200","last_updated":"2025-03-03T19:53:28Z","snapshot_observed_at":"2026-08-15T12:58:00.706716Z","submitted_at":"2024-04-30T21:06:52Z","title":"In-Context Learning with Long-Context Models: An In-Depth Exploration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.00200","snapshot_observed_at":"2026-08-11T17:25:18.856480Z","title":"Amanda Bertsch, Maor Ivgi, Uri Alon, Jonathan Berant, Matth ew R","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.856480Z"},"links":{"cited_paper":"/paper/2405.00200","citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:bf414040c6ba36ee969915e47d10a1dcbb4b791e0db5aeda666a304d841bee15","observation_id":"49996242-6d8c-44a5-8de4-8c3d4a2c2131","resolution":{"observed_at":"2026-08-11T17:25:18.856480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00200","last_updated":"2025-03-03T19:53:28Z","snapshot_observed_at":"2026-08-15T12:58:00.706716Z","submitted_at":"2024-04-30T21:06:52Z","title":"In-Context Learning with Long-Context Models: An In-Depth Exploration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.00200","snapshot_observed_at":"2026-08-11T17:25:18.861222Z","title":"URL https://doi.org/10.48550/arXiv.2405.00200","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.861222Z"},"links":{"cited_paper":"/paper/2405.00200","citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:40f10695219633a1243e2b212583283799546650c44525d97516305bed62b025","observation_id":"39a3c40f-753c-401d-8add-b71045065984","resolution":{"observed_at":"2026-08-11T17:25:18.861222Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.09798","last_updated":"2024-10-04T21:51:47Z","snapshot_observed_at":"2026-08-14T13:44:21.475363Z","submitted_at":"2024-05-16T04:02:43Z","title":"Many-Shot In-Context Learning in Multimodal Foundation Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.09798","snapshot_observed_at":"2026-08-11T17:25:18.865670Z","title":"URL https://doi.org/10.48550/arXiv.2405.09798","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.865670Z"},"links":{"cited_paper":"/paper/2405.09798","citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:5275538e191a2e054e03c5419080b7c3edb9cde49eac9b7187e544ee4cce4605","observation_id":"7934e86c-77b5-41b4-9c21-78f8b1f5b949","resolution":{"observed_at":"2026-08-11T17:25:18.865670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.07067","last_updated":"2023-02-06T08:03:15Z","snapshot_observed_at":"2026-08-13T13:03:01.136342Z","submitted_at":"2023-01-17T18:31:12Z","title":"Transformers as Algorithms: Generalization and Stability in In-context Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.07067","snapshot_observed_at":"2026-08-11T17:25:18.870966Z","title":"URL https://doi.org/10.48550/arXiv.2301.07067","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.870966Z"},"links":{"cited_paper":"/paper/2301.07067","citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:b7349428f8c021a1a8f752c33cb2168e6a24d5897f58abbddfd9f688dd56226a","observation_id":"9493f53d-22bd-4e79-89ff-cda8b30029b7","resolution":{"observed_at":"2026-08-11T17:25:18.870966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.19420","last_updated":"2023-10-10T04:47:47Z","snapshot_observed_at":"2026-08-15T19:03:05.214654Z","submitted_at":"2023-05-30T21:23:47Z","title":"What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.19420","snapshot_observed_at":"2026-08-11T17:25:18.875880Z","title":"Y ufeng Zhang, Fengzhuo Zhang, Zhuoran Y ang, and Zhaoran Wan g","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.875880Z"},"links":{"cited_paper":"/paper/2305.19420","citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:2c8230b83052a86bcb82e42f867d42318c86d5b5b966c442cbfe4e9bd78aecbd","observation_id":"7ec7bbde-c529-4fb8-bc3f-cda7bd657691","resolution":{"observed_at":"2026-08-11T17:25:18.875880Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.19420","last_updated":"2023-10-10T04:47:47Z","snapshot_observed_at":"2026-08-15T19:03:05.214654Z","submitted_at":"2023-05-30T21:23:47Z","title":"What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.19420","snapshot_observed_at":"2026-08-11T17:25:18.880714Z","title":"URL https://doi.org/10.48550/arXiv.2305.19420","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.880714Z"},"links":{"cited_paper":"/paper/2305.19420","citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:6fc8d5a51b2f09cac19bc4ba620aa31e4226f825c5b3c4a0f61aced3bde8943c","observation_id":"21fa6d11-2b18-4b4c-ab48-86e958cf38d7","resolution":{"observed_at":"2026-08-11T17:25:18.880714Z","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":"10.1007/b137171_91","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:08:50.044864Z","title":"Y ucheng Zhou, Xiang Li, Qianning Wang, and Jianbing Shen","venue":null,"work_id":"6ae7e1aa-97ad-4e1c-b6c2-dbed6381e32a","year":null},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.815224Z"},"links":{"citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:1bb6a0f0a13935ca61e54f261b82c8c3c6068d821da1545418889059f4f254d5","observation_id":"05a534c0-0965-470c-84b0-4a72bfb311ea","resolution":{"observed_at":"2026-08-11T17:25:19.065420Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/b137171","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:08:50.044864Z","title":null,"venue":null,"work_id":"0d6aa707-c2c9-4f86-be50-58fd14b17ff1","year":null},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":2008,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.810382Z"},"links":{"citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:f8d62e977d073dd144f71edb1df5f9a3a415bf9c80125b649001bbae8529699b","observation_id":"93070916-d375-4f18-9d69-259bff305a9e","resolution":{"observed_at":"2026-08-11T17:25:19.081002Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T17:25:18.851816Z","title":"NAACL-MAIN.201","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.851816Z"},"links":{"citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:15fd6472036afd95cce3dd6ab844b33b8f0771705df6e9b60ae7b92a7838b4e7","observation_id":"4479ba9f-c637-4518-8b64-7269184b47f1","resolution":{"observed_at":"2026-08-11T17:25:18.851816Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08734","last_updated":"2023-11-15T06:54:44Z","snapshot_observed_at":"2026-08-13T05:25:02.121156Z","submitted_at":"2023-11-15T06:54:44Z","title":"Thread of Thought Unraveling Chaotic Contexts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08734","snapshot_observed_at":"2026-08-11T17:25:18.820023Z","title":"7 Y ucheng Zhou, Xiubo Geng, Tao Shen, Chongyang Tao, Guodong Long, Jian-Guang Lou, and Jianbing Shen","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.820023Z"},"links":{"cited_paper":"/paper/2311.08734","citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:16ce7c1fe750319ad762cd6da10d2b2d95e51a638f85a53f1d8eb7a0a5f88e3a","observation_id":"6de94063-b67b-4d39-bb47-06d6a359acfc","resolution":{"observed_at":"2026-08-11T17:25:18.820023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18815","last_updated":"2024-11-10T12:49:15Z","snapshot_observed_at":"2026-08-14T09:34:14.564617Z","submitted_at":"2024-02-29T02:55:26Z","title":"How do Large Language Models Handle Multilingualism?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18815","snapshot_observed_at":"2026-08-11T17:25:18.841908Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-11T17:25:18.841908Z"},"links":{"cited_paper":"/paper/2402.18815","citing_paper":"/paper/2412.08955"},"observation_digest":"sha256:cf1528bfce39411a25b2a22d09f0afd40964c102ed29b740a8f3ac4d55a948b8","observation_id":"97c0ab3b-5f19-4893-8880-bcb2d5b72a0f","resolution":{"observed_at":"2026-08-11T17:25:18.841908Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.08955","last_updated":"2024-12-12T05:36:51Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T00:53:11.125172Z","submitted_at":"2024-12-12T05:36:51Z","title":"Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":2,"verified_fuzzy":1},"total_outbound_references":16},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2412.08955."}