{"as_of":"2026-08-08T22:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f2bea62639059b6dd90b8c59c12f2a3e1d6a87ba6b10924f6c75664d6fababc8","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T23:18:49.325332Z","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":"2026-07-02T03:06:30.499219Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.10626","last_updated":"2025-02-10T18:43:26Z","snapshot_observed_at":"2026-07-06T19:33:08.264958Z","submitted_at":"2024-10-14T15:31:54Z","title":"Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts","version":2},"cited_work":{"arxiv_id":"2410.10626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10626","snapshot_observed_at":"2026-07-02T03:06:30.499219Z","title":"Efficiently democratizing medical llms for 50 languages via a mixture of language family experts","venue":null,"work_id":"b9fa4dd3-5376-4c39-8aa2-5dbd7622b4ab","year":2024},"citing_paper":{"arxiv_id":"2412.18925","last_updated":"2024-12-25T15:12:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-25T15:12:34Z","title":"HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-15T12:36:50.060335Z"},"links":{"cited_paper":"/paper/2410.10626","citing_paper":"/paper/2412.18925"},"observation_digest":"sha256:f87e7c42c65e03571b7b9e94c446e512bdd268a90a9d4f76fd8d3165729ab05f","observation_id":"47bd90fa-a559-446c-9539-656f87f5a6cb","resolution":{"observed_at":"2026-05-15T12:36:50.124659Z","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":"2410.10626","last_updated":"2025-02-10T18:43:26Z","snapshot_observed_at":"2026-07-06T19:33:08.264958Z","submitted_at":"2024-10-14T15:31:54Z","title":"Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts","version":2},"cited_work":{"arxiv_id":"2410.10626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10626","snapshot_observed_at":"2026-07-02T03:06:30.499219Z","title":"Efficiently democratizing medical llms for 50 languages via a mixture of language family experts","venue":null,"work_id":"b9fa4dd3-5376-4c39-8aa2-5dbd7622b4ab","year":2024},"citing_paper":{"arxiv_id":"2601.13262","last_updated":"2026-04-26T01:38:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-01-19T17:51:00Z","title":"CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-16T13:20:49.919833Z"},"links":{"cited_paper":"/paper/2410.10626","citing_paper":"/paper/2601.13262"},"observation_digest":"sha256:d4747806918bf5da8e2717a7f2c00970211dd7fe99b9ed73259e7ec4eecc5214","observation_id":"779fcbd6-30cd-4ec2-ba59-0b6801e7814f","resolution":{"observed_at":"2026-05-16T13:20:57.509818Z","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":"2410.10626","last_updated":"2025-02-10T18:43:26Z","snapshot_observed_at":"2026-07-06T19:33:08.264958Z","submitted_at":"2024-10-14T15:31:54Z","title":"Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts","version":2},"cited_work":{"arxiv_id":"2410.10626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10626","snapshot_observed_at":"2026-07-02T03:06:30.499219Z","title":"Efficiently democratizing medical llms for 50 languages via a mixture of language family experts","venue":null,"work_id":"b9fa4dd3-5376-4c39-8aa2-5dbd7622b4ab","year":2024},"citing_paper":{"arxiv_id":"2605.01077","last_updated":"2026-05-01T20:22:38Z","snapshot_observed_at":"2026-07-30T10:04:14.236315Z","submitted_at":"2026-05-01T20:22:38Z","title":"Teaching LLMs Brazilian Healthcare: Injecting Knowledge from Official Clinical Guidelines","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-09T18:48:58.169601Z"},"links":{"cited_paper":"/paper/2410.10626","citing_paper":"/paper/2605.01077"},"observation_digest":"sha256:d3a8220fabfd713447a6e476ac9ebeffc7440167380d28250132a8e3d285c9c1","observation_id":"f49a1b2c-d8df-4e71-961b-d48f88d1effd","resolution":{"observed_at":"2026-05-11T16:06:06.969540Z","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":"2410.10626","last_updated":"2025-02-10T18:43:26Z","snapshot_observed_at":"2026-07-06T19:33:08.264958Z","submitted_at":"2024-10-14T15:31:54Z","title":"Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts","version":2},"cited_work":{"arxiv_id":"2410.10626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10626","snapshot_observed_at":"2026-07-02T03:06:30.499219Z","title":"Efficiently democratizing medical llms for 50 languages via a mixture of language family experts","venue":null,"work_id":"b9fa4dd3-5376-4c39-8aa2-5dbd7622b4ab","year":2024},"citing_paper":{"arxiv_id":"2606.03157","last_updated":"2026-06-02T05:09:18Z","snapshot_observed_at":"2026-08-01T10:50:39.590151Z","submitted_at":"2026-06-02T05:09:18Z","title":"ClinicalMC: A Benchmark for Multi-Course Clinical Decision-Making with Large Language Models","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-06-28T10:16:13.117505Z"},"links":{"cited_paper":"/paper/2410.10626","citing_paper":"/paper/2606.03157"},"observation_digest":"sha256:bfa63f2e98006b3544b024d6af18db86778bfe0287fcc50ad8207dff05f21478","observation_id":"43ead258-7ddd-45b1-a555-c125380770d0","resolution":{"observed_at":"2026-07-02T03:06:30.500938Z","resolver_source":"arxiv_id","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":"2410.10626","last_updated":"2025-02-10T18:43:26Z","snapshot_observed_at":"2026-07-06T19:33:08.264958Z","submitted_at":"2024-10-14T15:31:54Z","title":"Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10626","snapshot_observed_at":"2026-07-31T23:18:49.325332Z","title":"Efficiently democratizing medical LLMs for 50 languages via a mixture of language family experts.arXiv preprint arXiv:2410.10626,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.24030","last_updated":"2026-07-27T05:55:50Z","snapshot_observed_at":"2026-08-07T09:50:33.541075Z","submitted_at":"2026-07-27T05:55:50Z","title":"MoLGE: Mixture of Language Group Experts for Efficient Scaling of Massively Multilingual Speech Recognition","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-31T23:18:49.325332Z"},"links":{"cited_paper":"/paper/2410.10626","citing_paper":"/paper/2607.24030"},"observation_digest":"sha256:7d8efcdd529d5d522f13fe6a9c452a1c0885656a0f91f23ca245c93221c5996c","observation_id":"21f0b02f-db2e-4283-be82-cb267a806840","resolution":{"observed_at":"2026-07-31T23:18:49.325332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.10626/citation-record","integrity":"/paper/2410.10626/integrity","json":"/paper/2410.10626/citation-record.json","paper":"/paper/2410.10626"},"outbound":[],"paper":{"arxiv_id":"2410.10626","last_updated":"2025-02-10T18:43:26Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T19:33:08.264958Z","submitted_at":"2024-10-14T15:31:54Z","title":"Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.10626."}