Technical Report: Small Language Model for Japanese Clinical and Medicine | Paper Citation Record

Observation d1eeb4de-c2f3-4f37-86c2-c27f937f0898 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Technical Report: Small Language Model for Japanese Clinical and Medicine Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 1

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Observation 81db22d7-d1ea-4232-b0fe-54a1b127ee97 · outbound

This paper cites Improving language understanding by generative pre-training, 2018.

Technical Report: Small Language Model for Japanese Clinical and Medicine Improving language understanding by generative pre-training, 2018

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.251515Z

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Observation 4bcc0013-8f80-4ac4-aaa0-7ff8eadd77a8 · outbound

This paper cites Language models are unsupervised multitask learners, 2019.

Technical Report: Small Language Model for Japanese Clinical and Medicine Language models are unsupervised multitask learners, 2019

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.239831Z

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Observation 0e8122a4-ab52-463d-96fc-78034520fb8d · outbound

This paper cites Language Models are Few-Shot Learners.

Technical Report: Small Language Model for Japanese Clinical and Medicine Language Models are Few-Shot Learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:12.981104Z

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Observation 1d063789-c323-4e4f-a2d5-93faaa4f723e · outbound

This paper cites GPT-4 Technical Report.

Technical Report: Small Language Model for Japanese Clinical and Medicine GPT-4 Technical Report

Reference 5

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Observation 0b353ace-93d3-4bc9-87ac-420e32bd3c62 · outbound

This paper cites Scaling Laws for Neural Language Models.

Technical Report: Small Language Model for Japanese Clinical and Medicine Scaling Laws for Neural Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:12.993326Z

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Observation c72f57bd-4418-432c-86a4-20c1a8226200 · outbound

This paper cites Unified Scaling Laws for Routed Language Models.

Technical Report: Small Language Model for Japanese Clinical and Medicine Unified Scaling Laws for Routed Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:12.997578Z

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Observation 17c08c8e-5951-4a30-be33-4375da47a5c5 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Technical Report: Small Language Model for Japanese Clinical and Medicine LLaMA: Open and Efficient Foundation Language Models

Reference 8

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Observation 4a89cac9-5775-4fd0-b8a8-2f5552578621 · outbound

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

Technical Report: Small Language Model for Japanese Clinical and Medicine Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.008110Z

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Observation 7b7d298f-4615-48db-ae55-032c7754644a · outbound

This paper cites The Llama 3 Herd of Models.

Technical Report: Small Language Model for Japanese Clinical and Medicine The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.012330Z

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Observation bc9de67c-0ff6-4f4e-8259-70c297eb1bb7 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Technical Report: Small Language Model for Japanese Clinical and Medicine PaLM: Scaling Language Modeling with Pathways

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.016621Z

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Observation 4f2b2d5a-71c4-4c1d-b431-2a4303985a9c · outbound

This paper cites PaLM 2 Technical Report.

Technical Report: Small Language Model for Japanese Clinical and Medicine PaLM 2 Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.021669Z

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Observation 78f1e7b1-f1bc-4b1d-a572-d78a803bb3f4 · outbound

This paper cites The Falcon Series of Open Language Models.

Technical Report: Small Language Model for Japanese Clinical and Medicine The Falcon Series of Open Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.030085Z

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Observation a8dc0f50-cd08-4fa3-9869-b4b0edd4f566 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Technical Report: Small Language Model for Japanese Clinical and Medicine Gemma: Open Models Based on Gemini Research and Technology

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.034153Z

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Observation 94247994-af51-4578-8f19-cd4c4d7b4825 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Technical Report: Small Language Model for Japanese Clinical and Medicine Gemma 2: Improving Open Language Models at a Practical Size

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.038403Z

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Observation 0a9b2815-cb2e-4997-a078-71449732d887 · outbound

This paper cites Qwen Technical Report.

Technical Report: Small Language Model for Japanese Clinical and Medicine Qwen Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.043966Z

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Observation 0b4605ce-e2f9-4a44-b369-fb1b3ce0c8d8 · outbound

This paper cites Qwen2 Technical Report.

Technical Report: Small Language Model for Japanese Clinical and Medicine Qwen2 Technical Report

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.048780Z

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Observation 7d2ed9a7-c46a-42fb-af2f-08c9b09e4faa · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku anthropic.

Technical Report: Small Language Model for Japanese Clinical and Medicine The claude 3 model family: Opus, sonnet, haiku anthropic

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.228855Z

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Observation cbf40da3-4e27-4863-aba0-aa07d0a9a394 · outbound

This paper cites c4ai-command-r-plus (revision 432fac1), 2024.

Technical Report: Small Language Model for Japanese Clinical and Medicine c4ai-command-r-plus (revision 432fac1), 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.218457Z

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Observation 3bb3252c-7739-4755-8e41-32409a42b651 · outbound

This paper cites MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data.

Technical Report: Small Language Model for Japanese Clinical and Medicine MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.062797Z

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Observation c174b541-ef20-4dd8-94be-d29cef10a521 · outbound

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

Technical Report: Small Language Model for Japanese Clinical and Medicine MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.066976Z

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Observation 41595a1a-adec-4342-8b9a-f523030e6bd4 · outbound

This paper cites Adapting large language models via reading comprehension.

Technical Report: Small Language Model for Japanese Clinical and Medicine Adapting large language models via reading comprehension

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.208020Z

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Observation 35d18cd9-cbc0-4658-a6b4-3242d772fbcb · outbound

This paper cites Me LLaMA: Foundation Large Language Models for Medical Applications.

Technical Report: Small Language Model for Japanese Clinical and Medicine Me LLaMA: Foundation Large Language Models for Medical Applications

Reference 23

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Observation 5d8d85bb-7e4f-41ad-8784-dee45759fc1a · outbound

This paper cites Capabilities of Gemini Models in Medicine.

Technical Report: Small Language Model for Japanese Clinical and Medicine Capabilities of Gemini Models in Medicine

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.078230Z

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Observation b329100d-55eb-4fd0-ad09-cc32b2e20ce2 · outbound

This paper cites https://tech.preferred.jp/ja/blog/llama3-preferred-medswallow-70b/.

Technical Report: Small Language Model for Japanese Clinical and Medicine https://tech.preferred.jp/ja/blog/llama3-preferred-medswallow-70b/

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.196777Z

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Observation 7d10fd7e-389a-4812-9b4b-f991d6a603da · outbound

This paper cites Textbooks Are All You Need.

Technical Report: Small Language Model for Japanese Clinical and Medicine Textbooks Are All You Need

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.085436Z

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Observation 96e01cf9-8ee2-4733-9a31-386abbb9c11b · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

Technical Report: Small Language Model for Japanese Clinical and Medicine Textbooks Are All You Need II: phi-1.5 technical report

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.088973Z

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Observation 15bdc825-a308-4a28-a63f-48c584e9e5f6 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Technical Report: Small Language Model for Japanese Clinical and Medicine Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.092651Z

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Observation 34a31617-50cd-4a69-832e-85b7dcd749e3 · outbound

This paper cites Wiki-40b: Multilingual language model dataset, 2020.

Technical Report: Small Language Model for Japanese Clinical and Medicine Wiki-40b: Multilingual language model dataset, 2020

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.185305Z

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Observation 9d54e3cf-5532-49ae-9f3c-3cdb68704da8 · outbound

This paper cites A monolingual approach to contextualized word embeddings for mid-resource languages.

Technical Report: Small Language Model for Japanese Clinical and Medicine A monolingual approach to contextualized word embeddings for mid-resource languages

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.173380Z

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Observation 94e23ef3-d8a1-4236-baac-391deb451489 · outbound

This paper cites Random forests, 2001.

Technical Report: Small Language Model for Japanese Clinical and Medicine Random forests, 2001

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.161497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d14e8a9b-ecce-4cc5-95b7-f1cc57461e9d · outbound

This paper cites Elyza-japanese-llama-2-7b, 2023.

Technical Report: Small Language Model for Japanese Clinical and Medicine Elyza-japanese-llama-2-7b, 2023

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.150060Z

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Observation 114067cc-729a-4815-a09a-6f67ef5490d3 · outbound

This paper cites elyza/llama-3-elyza-jp-8b, 2024.

Technical Report: Small Language Model for Japanese Clinical and Medicine elyza/llama-3-elyza-jp-8b, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.138730Z

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Observation 7ed5e0bf-a439-44da-a54c-3b1a42a8e2e6 · outbound

This paper cites Japanese stablelm instruct alpha 7b v2.

Technical Report: Small Language Model for Japanese Clinical and Medicine Japanese stablelm instruct alpha 7b v2

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.128165Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d6e486f1-7cbd-4503-b5fd-9e6be76efc00 · outbound

This paper cites Tokenizerの違いによる日本語 bertモデルの性能評価.

Technical Report: Small Language Model for Japanese Clinical and Medicine Tokenizerの違いによる日本語 bertモデルの性能評価

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.117099Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation da4f1951-5397-4c16-9183-5bb8b0e2420f · outbound

This paper cites 日本語 gptを用いたトークナイザの影響の調査.

Technical Report: Small Language Model for Japanese Clinical and Medicine 日本語 gptを用いたトークナイザの影響の調査

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.106199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1ef62143-dc18-406d-a36e-6ea40132b4ef · outbound

This paper cites 日本語tokenizerの違いは下流タスク性能に影響を与えるか？言語処理学会第 29 回年次大会, 2023.

Technical Report: Small Language Model for Japanese Clinical and Medicine 日本語tokenizerの違いは下流タスク性能に影響を与えるか？言語処理学会第 29 回年次大会, 2023

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.095590Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f2a479f4-d5f6-4aba-82c4-81463f864977 · outbound

This paper cites Mecab: Yet another part-of-speech and morphological analyzer, 2006.

Technical Report: Small Language Model for Japanese Clinical and Medicine Mecab: Yet another part-of-speech and morphological analyzer, 2006

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.080955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 71dc6ac9-f980-42d1-b00c-ce37c10da179 · outbound

This paper cites J-medic: A japanese disease name dictionary based on real clinical usage.

Technical Report: Small Language Model for Japanese Clinical and Medicine J-medic: A japanese disease name dictionary based on real clinical usage

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.068260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b04fd036-90bc-4816-8812-ad47f96d47ae · outbound

This paper cites Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates.

Technical Report: Small Language Model for Japanese Clinical and Medicine Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.134050Z

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Observation 38a01a1e-e6e2-4eaf-86ce-4ec5a6211e39 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Technical Report: Small Language Model for Japanese Clinical and Medicine RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.137797Z

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Observation d870d6bf-f7ab-4c69-a36c-ad634cc81328 · outbound

This paper cites On Layer Normalization in the Transformer Architecture.

Technical Report: Small Language Model for Japanese Clinical and Medicine On Layer Normalization in the Transformer Architecture

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.141183Z

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Observation 0caf0547-241e-4453-a35e-2df0af2e1f27 · outbound

This paper cites A Study of BFLOAT16 for Deep Learning Training.

Technical Report: Small Language Model for Japanese Clinical and Medicine A Study of BFLOAT16 for Deep Learning Training

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.145659Z

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Observation c1fdf9e4-b470-49d0-bf9d-0cc942d2f3b1 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Technical Report: Small Language Model for Japanese Clinical and Medicine Gaussian Error Linear Units (GELUs)

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.150689Z

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Observation 311170ea-5d94-4f0e-a6ee-6a378613da1b · outbound

This paper cites Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning.

Technical Report: Small Language Model for Japanese Clinical and Medicine Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.155677Z

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Observation eea3255e-b91c-4756-9d75-e3b36df570eb · outbound

This paper cites Rectified linear units improve restricted boltzmann machines.

Technical Report: Small Language Model for Japanese Clinical and Medicine Rectified linear units improve restricted boltzmann machines

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.159591Z

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Observation c7efce8a-392d-4dc1-b318-235e93a12787 · outbound

This paper cites Layer Normalization.

Technical Report: Small Language Model for Japanese Clinical and Medicine Layer Normalization

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.163709Z

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Observation bfa6a62a-8e99-4fd6-9c4e-7ea26d8f34de · outbound

This paper cites Root Mean Square Layer Normalization.

Technical Report: Small Language Model for Japanese Clinical and Medicine Root Mean Square Layer Normalization

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.167209Z

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Observation 51a9d31f-f6a3-487e-864d-5abe630d88f5 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

Technical Report: Small Language Model for Japanese Clinical and Medicine GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.170947Z

Source-reported events for the cited work

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Observation 4a26e3c6-3473-4a8d-9a9b-2e7dc797a5d1 · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

Technical Report: Small Language Model for Japanese Clinical and Medicine Fast Transformer Decoding: One Write-Head is All You Need

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.174118Z

Source-reported events for the cited work

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Observation 6614e3d3-6635-4f6c-b57a-432754d6d3a9 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Technical Report: Small Language Model for Japanese Clinical and Medicine Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.177474Z

Source-reported events for the cited work

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Observation e2c958ff-23a6-4503-94e2-22a7247e9011 · outbound

This paper cites Transformers without Tears: Improving the Normalization of Self-Attention.

Technical Report: Small Language Model for Japanese Clinical and Medicine Transformers without Tears: Improving the Normalization of Self-Attention

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.181022Z

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Observation ddb73ce6-27b2-4e9e-a0ec-878948fd8ead · outbound

This paper cites Spike No More: Stabilizing the Pre-training of Large Language Models.

Technical Report: Small Language Model for Japanese Clinical and Medicine Spike No More: Stabilizing the Pre-training of Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.184328Z

Source-reported events for the cited work

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Observation 36971bae-8b5b-4cf6-910b-f816dd3656ce · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks.

Technical Report: Small Language Model for Japanese Clinical and Medicine Understanding the difficulty of training deep feedforward neural networks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.187575Z

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Observation 5c384ed7-9ff4-4940-8329-6d898e982cf2 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Technical Report: Small Language Model for Japanese Clinical and Medicine Training Compute-Optimal Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.190608Z

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Observation a83da540-a1cf-475f-8226-c76a0d8027e3 · outbound

This paper cites To repeat or not to repeat: Insights from scaling llm under token-crisis.

Technical Report: Small Language Model for Japanese Clinical and Medicine To repeat or not to repeat: Insights from scaling llm under token-crisis

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.039066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4ee7718f-f647-4621-b589-afdbce40607a · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.

Technical Report: Small Language Model for Japanese Clinical and Medicine FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.197528Z

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Observation e7d91509-4508-403c-bbcd-922ca04efdaf · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters.

Technical Report: Small Language Model for Japanese Clinical and Medicine Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.025311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 477182ab-a284-43c1-a5c6-2f301c004475 · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

Technical Report: Small Language Model for Japanese Clinical and Medicine Zero: Memory optimizations toward training trillion parameter models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.204212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a43dddb2-933b-486e-9d75-1c8d10d556ef · outbound

This paper cites Improving neural networks by preventing co-adaptation of feature detectors.

Technical Report: Small Language Model for Japanese Clinical and Medicine Improving neural networks by preventing co-adaptation of feature detectors

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.207736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 705a9c5d-4b9c-45a7-9b33-d14d3e47c041 · outbound

This paper cites Decoupled Weight Decay Regularization.

Technical Report: Small Language Model for Japanese Clinical and Medicine Decoupled Weight Decay Regularization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.211250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43bde543-35c3-4297-bf4b-a1b818a52fa8 · outbound

This paper cites Finetuned language models are zero-shot learners closed-book qa.

Technical Report: Small Language Model for Japanese Clinical and Medicine Finetuned language models are zero-shot learners closed-book qa

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:14.000112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5fa8c98b-852d-4078-a128-9b04b94821e8 · outbound

This paper cites Jmed-llm: Japanese medical evaluation dataset for large language models.

Technical Report: Small Language Model for Japanese Clinical and Medicine Jmed-llm: Japanese medical evaluation dataset for large language models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:13.987590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 09c55050-6339-41d1-90a7-c01c1bb53df2 · outbound

This paper cites NEFTune: Noisy Embeddings Improve Instruction Finetuning.

Technical Report: Small Language Model for Japanese Clinical and Medicine NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.222272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11dc413d-02cc-4f53-8575-97b11226bca3 · outbound

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

Technical Report: Small Language Model for Japanese Clinical and Medicine Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.226775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30230f99-cb9c-460c-9483-7cb091d77973 · outbound

This paper cites A coefficient of agreement for nominal scales.

Technical Report: Small Language Model for Japanese Clinical and Medicine A coefficient of agreement for nominal scales

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:13.975489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6ec42609-61eb-4fd4-aa2b-0768e5b43ec3 · outbound

This paper cites https://speakerdeck.com/fta98/ri-ben-yu-yi-liao-llmping- jia-bentimakunogou-zhu-toxing-neng-fen-xi.

Technical Report: Small Language Model for Japanese Clinical and Medicine https://speakerdeck.com/fta98/ri-ben-yu-yi-liao-llmping- jia-bentimakunogou-zhu-toxing-neng-fen-xi

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:13.963082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0f4c283a-7548-43ac-9254-64b4610e6197 · outbound

This paper cites The Curse of Recursion: Training on Generated Data Makes Models Forget.

Technical Report: Small Language Model for Japanese Clinical and Medicine The Curse of Recursion: Training on Generated Data Makes Models Forget

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.243133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa54500e-8c51-4e05-9268-799d3ab17e3d · outbound

This paper cites Visualizing data using t-sne.

Technical Report: Small Language Model for Japanese Clinical and Medicine Visualizing data using t-sne

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.248412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c2a9cf6-d1fa-46cb-b96f-0befd4f8109c · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Technical Report: Small Language Model for Japanese Clinical and Medicine UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.252776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4af789d2-8ded-4c0a-a012-901cd8565cc1 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Technical Report: Small Language Model for Japanese Clinical and Medicine Efficient Estimation of Word Representations in Vector Space

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:13.256643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference resolution

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