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Paper Citation Record · LEDGER

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP

As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2505.16661.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.16661 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:02:36.138670Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:39:42.317690Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T05:39:42.600572Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact4
  • verified fuzzy1
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 01f6e299-1924-40db-81eb-b534e873aa4b · outbound

This paper cites online" 'onlinestring :=.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP online" 'onlinestring :=

Reference 1

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Observation ddf3f9ef-48e1-4726-b830-ef6213ac2688 · outbound

This paper cites write newline.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP write newline

Reference 2

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Observation 30cf4fc4-57c7-4e32-bb8a-5028abffb400 · outbound

This paper cites SemDeDup: Data-efficient learning at web-scale through semantic deduplication.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP SemDeDup: Data-efficient learning at web-scale through semantic deduplication

Reference 3

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Observation 73945ed2-6a81-4e17-acd8-e151040ca23a · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-07T15:02:32.725072Z digest=sha256:5ed7cc27242ed9160dee088fa12621f230204c532fd19941043bc4fdbc5a5fd6

Observation 485d6578-bc93-4e00-8908-3f51da1faac4 · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 5

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 857674fe-7e98-4244-bd4b-b2a65a731d28 · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 6

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Observation 944cc157-2fa9-4665-9249-c0f51efb9047 · outbound

This paper cites PaLM 2 Technical Report.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP PaLM 2 Technical Report

Reference 7

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source=arxiv_source observed=2026-08-07T15:02:32.959804Z digest=sha256:9d8be2d9183fed09719d45c3818d607822df61c3d9ed9e831c4822a0859f86fe

Observation 5c226fce-0de1-40dd-9255-c5517afe57ca · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 8

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Observation d6e633a7-5811-4159-96bf-4f7fd68cff87 · outbound

This paper cites Vaccine Supply, and Quality Unit.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Vaccine Supply, and Quality Unit

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 547f9a75-14f0-4d65-9802-8909c1eb6f55 · outbound

This paper cites Tx-LLM: A Large Language Model for Therapeutics.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Tx-LLM: A Large Language Model for Therapeutics

Reference 10

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Observation 7942d17d-4f4a-47ac-9305-d36f7e912481 · outbound

This paper cites PharmaGPT: Domain-Specific Large Language Models for Bio-Pharmaceutical and Chemistry.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP PharmaGPT: Domain-Specific Large Language Models for Bio-Pharmaceutical and Chemistry

Reference 11

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Observation 78c478ff-e051-4c87-b84f-35a6efd96d99 · outbound

This paper cites MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Reference 12

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Observation 3a0e7ea4-02de-43a5-a05e-4627e94d41e3 · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 13

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a8878105-b5da-44a7-82a7-0f7fe95dad59 · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 14

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4fd9f300-b010-4e1d-885d-b73dbcd1069f · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-08-07T15:02:33.756451Z digest=sha256:eb136424ef4b753eab1144e8f3987f16bfb5cab515fa990313c5ee51b415b60a

Observation 15b7bffb-1ce3-467c-8e53-65300edefc77 · outbound

This paper cites Hager, F.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Hager, F

Reference 16

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source=arxiv_source observed=2026-08-07T15:02:33.818674Z digest=sha256:340e8fb5d59719459d1a4e9bdeedad0552044cf82e52a57598bb66399e13ce0b

Observation 0f8e8978-f9c9-49af-ba1f-482635455ce5 · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 17

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:02:33.947331Z digest=sha256:55bbdba87ef5556428f71b7854d1bb97c0ed2d5d109a05b9cc280b6fd8476baf

Observation 9e382aa7-184c-47e6-ab0a-07d97573352b · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 68fd5e41-585e-46e4-8927-44ed761c03f2 · outbound

This paper cites FinanceBench: A New Benchmark for Financial Question Answering.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP FinanceBench: A New Benchmark for Financial Question Answering

Reference 19

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Observation 96d13073-0403-43fd-9e5f-f05fd348c331 · outbound

This paper cites JMedBench: A Benchmark for Evaluating Japanese Biomedical Large Language Models.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP JMedBench: A Benchmark for Evaluating Japanese Biomedical Large Language Models

Reference 20

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 696de114-efd0-418a-8396-15674786205a · outbound

This paper cites What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 21

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Observation 2591c9e3-cc51-44f4-85ca-68b12b129d22 · outbound

This paper cites Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations

Reference 22

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Observation 218298e9-4cab-40ad-8a99-58f24190190b · outbound

This paper cites LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Reference 23

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Observation d5c56857-66e5-4f3f-bb2a-a451b8bb98b8 · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 24

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Observation 2d1d54ed-bf7c-4936-b9c2-b7552a9fefbc · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 25

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Observation 629d7719-cc39-4c6a-856d-5114adcbeeb5 · outbound

This paper cites Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Reference 26

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Observation f56d778c-12a3-4b81-9ffb-1527464a1378 · outbound

This paper cites From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 27

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Observation de7a7d28-ed86-4d25-87d5-a795540816c9 · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 28

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Observation bba057f0-4cd7-459e-adc5-8da2b75c1e00 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 29

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Observation cdf9974b-ca6f-40a0-9816-09b725a5ac72 · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 30

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5918260c-8ca1-4822-b586-f534a1a05aa4 · outbound

This paper cites Towards Expert-Level Medical Question Answering with Large Language Models.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Towards Expert-Level Medical Question Answering with Large Language Models

Reference 31

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Observation 0f5037a4-2d9d-489f-b92a-4b31ba150817 · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 32

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Observation 34967fc9-ab4c-4c4e-a78a-1c3914c5ff23 · outbound

This paper cites Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resources.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resources

Reference 33

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local_arxiv, observed 2026-08-07T15:02:36.668971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b991326e-f0a3-486d-b611-ad49a33fd4e4 · outbound

This paper cites 70B-parameter large language models in Japanese medical question-answering.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP 70B-parameter large language models in Japanese medical question-answering

Reference 34

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local_arxiv, observed 2026-08-07T15:02:36.516427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:02:35.198820Z digest=sha256:e68ce79e3dd6cd89c0edeea66e9df2e07bd0519cd65d6102a478311d8d1bdbf3

Observation 6b68a076-513d-4916-9c6a-da85d85871b8 · outbound

This paper cites JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning

Reference 35

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 07b7b8bb-4e75-4033-a176-dc82435f7567 · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 36

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5f709deb-ed9c-43a7-a0b9-dafa66cd964d · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 37

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 112a249b-165f-4d84-80d9-c0f0b27175e5 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T15:02:35.499631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1f1cae3c-cd5f-47d2-ba35-44c7f99603e6 · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T15:02:35.573745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:02:35.573745Z digest=sha256:9118353134346854f0fc9ae19f59a2a3e6085d01f9862cadc0b19cf2b1a105a5

Observation 85cedb95-24a8-486f-ac1d-056a73db7b3f · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:02:37.810790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:02:35.659698Z digest=sha256:7619cd9f5e86e8d497c473bf3e5196c9c700fccc9c453468f789245acf28793d

Observation 3fb21d01-84bc-44ff-90bf-dd0e8090a97d · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:02:37.683832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:02:35.721268Z digest=sha256:e848b9b6c45b11736be3faf27a9dacf2364986e976da445ceb6a33463b58673f

Observation 70fcea75-42f6-4452-b0a4-9b330e3d4372 · outbound

This paper cites Qwen2.5 Technical Report.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Qwen2.5 Technical Report

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T15:02:35.838614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:02:35.838614Z digest=sha256:90b1e78d6e9e22b0768b969b91e1750362bb2f3e6d0136e6676e47fc2eea3bfd

Observation 2a131843-fcb1-4b74-86b1-f62dc3a97364 · outbound

This paper cites Should We Respect LLMs? A Cross-Lingual Study on the Influence of Prompt Politeness on LLM Performance.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Should We Respect LLMs? A Cross-Lingual Study on the Influence of Prompt Politeness on LLM Performance

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T15:02:35.900698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:02:35.900698Z digest=sha256:d6b204a5ad4a53ab14d65e1662f0a5a67203cfd04b488933fc50534e444a2713

Observation 1354ca25-881b-48e2-8f31-af12a09e4271 · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:02:37.599005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:02:35.973805Z digest=sha256:86f74227a36fdd9958a841b746067f233d1757c755e98e87b4a21882e5240375

Observation 58d6552f-c0f2-4701-86c2-59f6a0fb4cbf · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:02:37.397396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:02:36.094559Z digest=sha256:4b03329ed7e96adf5293273d89e4ce3e69da56d5dbeb34a4d9f1f1ccbc065a59

Observation 36350525-2fb3-4920-9610-be9d9a77c99a · outbound

This paper cites an unresolved cited work.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:02:37.317831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:02:36.138670Z digest=sha256:9944affe0e9691e807589995d4839d7a93d5ebad1f546e9f9c8a7e5ad1a67d26

Pith citing papers

Observation 7798c562-97c6-46ae-a591-2a1f0aa362b5 · inbound

KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations cites this paper.

KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:39:42.647730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:39:42.317690Z digest=sha256:827b73756b17b69c4b0db46262e035f8889e24f6cfbfb55ea810c3ef38749b41