Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:02.946881Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2505.18331.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:02.946881Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0dac0f64-8221-4553-b693-1ae9493bdc25 · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Capabilities of GPT-4 on Medical Challenge Problems
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Capabilities of Gemini Models in Medicine
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Observation 17261ce2-7e0c-4ef8-8f93-6f08f6cfdca8 · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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Observation b382a38f-e105-46a7-b66d-f65d0951ec25 · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language InPro- ceedings of the AAAI conference on artificial intelli- gence, volume 38, pages 19368–19376
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language InProceedings of the 62nd Annual Meeting of the Association for Compu- tational Linguistics (Volume 3: System Demonstra- tions), Bangkok, Thailand
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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Observation 9ef19171-fcc2-460e-acb0-bd46eef05ed9 · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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Observation e6aa9c0e-b6aa-44b6-9797-af66d98d8722 · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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Observation d98fc99e-190b-446b-95cb-1e45f73a8e79 · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
Reference 16
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Observation 81187524-b03b-41e8-8a31-52f5c1871b81 · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language •Clinical_impact: 11
Reference 17
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Observation 8fcbfd13-a78b-4bbd-b1a4-8d496a4eb2e7 · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
Reference 18
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Observation d47355a7-18d3-429a-ae60-43982b970ccf · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Return only the integer (1–28) that best corresponds to the core subject matter
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
Reference 24
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Observation eefcf72e-04f0-47c9-a59f-5554f92da430 · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
Reference 25
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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Observation a938bf18-c53e-4bbe-afb9-01b56fdb4ae5 · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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Observation de7d1e52-d4be-4cb7-b344-446311671d68 · outbound
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Observation 0026fb41-b38c-4da1-aa51-01d87235004f · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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Observation 791457f4-e81d-4d64-a8ee-8a782e5757ec · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
Reference 40
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
Reference 42
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
Reference 43
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Observation baae0143-4078-4685-b215-b3f387dc2e2b · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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Observation 7cab2c3a-e7bb-4ccd-8510-f7723972e6bc · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
Reference 46
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Observation ac62c291-4c56-4874-8ce3-5c93b87b33cf · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
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Observation a1976306-7f32-489b-adff-3046deb02627 · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
Reference 48
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Observation 79b8c83d-8b12-4b3e-957e-0a291b14bf9f · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
Reference 49
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Observation 25684cdb-85a9-488c-843c-3bff2ef3832b · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Unresolved cited work
Reference 50
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Observation e6439986-4940-482d-b3aa-4d8816f52a94 · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language 2.Step-by-step and Explainable Evaluation: • Provide a brief and concise comparison analysis (brief_analysis), clearly explaining your evaluation
Reference 52
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Observation c8f54ad5-d64f-4cc7-82db-c649db19630c · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding
Reference 2019
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PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Measuring Massive Multitask Language Understanding
Reference 2020
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f82a9f2-9b57-409e-bfe5-18a15fbfbfc6 · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c0a8c7f-e905-4571-bfe2-e32da19dca4c · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language DeepSeek-V3 Technical Report
Reference 2024
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Observation 806511a7-522f-4607-895e-03ca96e64111 · outbound
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Reference 2025
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.