Paper Citation Record · LEDGER

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources

As of 7 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 1 inbound Pith citation observation for arXiv:2506.21595.

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

pith.paper-citation-record.v1
2506.21595 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:58:09.864864Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T07:59:57.505776Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T08:02:25.061338Z

Reference resolution

78 of 78 outbound references displayed

verified exact4
verified fuzzy3
unresolved71
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12795380-ed3a-4deb-82f8-ca84591911dc · outbound

This paper cites online" 'onlinestring :=.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.627107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a8d4eca-8539-43e0-9a30-b7070051f261 · outbound

This paper cites write newline.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.630785Z

Source-reported events for the cited work

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Observation ec21aca3-ca66-4264-bab2-484d2efc60d0 · outbound

This paper cites Program Synthesis with Large Language Models.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Program Synthesis with Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.634640Z

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Observation 5ddf80eb-9d71-4140-b4fc-c53b1b0102de · outbound

This paper cites Kanana: Compute-efficient Bilingual Language Models.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Kanana: Compute-efficient Bilingual Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.637931Z

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Observation 423bb00a-6206-4036-9f12-7d0830c88e8f · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:12.192808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d3c0138-20fe-4d0f-bfb4-2f04b72e69ff · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Evaluating Large Language Models Trained on Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.644738Z

Source-reported events for the cited work

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Observation eb9a33c4-330e-4e63-af5f-74373736d05f · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:12.056624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5024c7dd-8fd4-4c00-b9c2-f09dcfae1bd0 · outbound

This paper cites Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.651040Z

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Observation a94b9a7e-83a3-42e0-b9d8-e52daac019bf · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:11.885641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 145bac65-11c4-4e0e-ac75-58b8e6517f24 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.657638Z

Source-reported events for the cited work

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Observation fcad9356-0913-458f-a450-4be0b92dba4c · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Training Verifiers to Solve Math Word Problems

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.668523Z

Source-reported events for the cited work

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Observation 4a9beaf5-62ae-424f-849b-1caf5739bd4a · outbound

This paper cites Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.671693Z

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Observation 8e105d9c-629a-4512-8295-bdf6a15d6066 · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:11.676466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 574ce9dc-95b1-4ab3-a9f9-3d900df832e7 · outbound

This paper cites Sailor: Open Language Models for South-East Asia.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Sailor: Open Language Models for South-East Asia

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.677995Z

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Observation 07270c08-a67e-49ee-b1c4-b6fb441d4a46 · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.681399Z

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Observation 52548372-6da3-4bf3-8c39-4d75fedf0cc4 · outbound

This paper cites Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.684288Z

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Observation d5b58414-1fa1-4c1b-b30d-a0aa36c878c4 · outbound

This paper cites Scaling FP8 training to trillion-token LLMs.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Scaling FP8 training to trillion-token LLMs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.687331Z

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Observation 202c0c59-b036-45d3-9691-343953c128d6 · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 19

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Observation 0a49de4c-ad55-4dbc-9f33-eaf3e72b2e8f · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:11.533774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 03b5b905-4e69-4717-8cb1-b3771438436a · outbound

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

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Gemma 2: Improving Open Language Models at a Practical Size

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.696125Z

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Observation d5c8fdd0-9802-4517-b3ba-7f4321f22dfb · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:11.401349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 765e50d6-18ae-486e-a649-a9c57287a115 · outbound

This paper cites Bilingual Adaptation of Monolingual Foundation Models.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Bilingual Adaptation of Monolingual Foundation Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.701521Z

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Observation 37c0537a-d743-41e0-8e55-6c3e4867b7ba · outbound

This paper cites The Llama 3 Herd of Models.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources The Llama 3 Herd of Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.704456Z

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Observation 17841f7d-e53c-4bef-a93c-f9aed8d126fe · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.707041Z

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Observation c5dcb80c-cbb4-4f3f-b8d2-ccddc16cebff · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.709640Z

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Observation d9b52545-6e67-46d7-b183-7c5c43fb8625 · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.712935Z

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Observation 3f2b6f51-790e-4c2a-aa73-746701819c76 · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.715742Z

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Observation 3d9805b3-55b8-4903-bf05-2f1703829b8e · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:11.262859Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b4e14d8-1722-45c2-9f09-52c45363cac1 · outbound

This paper cites Mistral 7B.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Mistral 7B

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.721521Z

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Observation e78caf1b-fee6-4c8d-95ba-ef6facbe5d54 · outbound

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:11.170624Z

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Observation 1f5eb41e-e7ee-4e57-bb3a-ed515ef14679 · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.727087Z

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Observation 69cbcc97-26a0-44f5-a195-d95308fb2d27 · outbound

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources From English-Centric to Effective Bilingual: LLMs with Custom Tokenizers for Underrepresented Languages

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:58:10.245994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa3b6c43-ab7b-4a50-9578-1c9d960dbf30 · outbound

This paper cites A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language Models.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language Models

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:58:10.233082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 92f3535a-9078-439f-8aea-eccfeea00398 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Gonzalez, Hao Zhang, and Ion Stoica

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.736068Z

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Observation 70636fe1-83ff-4985-b5f3-f0d995ac85c9 · outbound

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources DNA 1.0 Technical Report

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:58:10.219530Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a4446757-14bb-4189-b404-9547829e7cef · outbound

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.742493Z

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Observation 318ef5b3-8583-47ee-be77-506538b6d36d · outbound

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.745253Z

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Observation 66e8106b-42b1-4540-8959-3ca676d2fa0b · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 39

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Observation de72a8b3-c44d-423e-9d3c-c9a259febbb3 · outbound

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Observation 4ae951dc-1105-4261-98a1-beafeb0ff883 · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:10.888621Z

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Observation bd79e320-1a8e-4619-8ad9-45378f7df738 · outbound

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Reference 42

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Observation fac02de2-4be8-4c33-bddd-d830942e66bf · outbound

This paper cites The Flan Collection: Designing Data and Methods for Effective Instruction Tuning.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 43

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Observation 96cffd4e-c10e-4c29-af04-ecabf4e80a3d · outbound

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Observation 80058af0-7415-4d1e-9096-f3cacb9846c7 · outbound

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models

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Observation 082e63e4-d76b-4a0c-9375-b7c71617e690 · outbound

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Orca-Math: Unlocking the potential of SLMs in Grade School Math

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Reference 48

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Nvidia h100 tensor core gpu architecture

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Observation 5bc82f0c-6df4-4f2a-a0e6-31c9d8dfa531 · outbound

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Observation e140c1f7-501a-462a-aa63-bf53793acafc · outbound

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Observation aa7333de-8dfd-49b2-bed8-836a5be98680 · outbound

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources KLUE: Korean Language Understanding Evaluation

Reference 53

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.790838Z

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Observation 75d247f4-3fc0-40e0-a2dd-0d17ef07c062 · outbound

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources FP8-LM: Training FP8 Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.794501Z

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Observation c2fe8fa6-70e6-4946-93a0-c352404de0fb · outbound

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Qwen2.5 Technical Report

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Scaling Language Models: Methods, Analysis & Insights from Training Gopher

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Observation 45264242-39e4-4914-8f6d-f87959499590 · outbound

This paper cites an unresolved cited work.

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Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.803525Z

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 59

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8acd260d-eb01-4dba-8e49-2d73b2a835d0 · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:10.514125Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5ac3704f-d72b-46a9-bfe7-c3bfb495aff4 · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:10.479826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d16bd13-06a1-4270-8574-1b872cc07c8e · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.815380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6078fab9-ea53-42d1-8e91-303ad5ebaf08 · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:10.450973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5e04141-66c3-48fe-a55e-c02f27f28b2c · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:10.429884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ab95fdf-4465-4dde-b70a-b159a4c9fa28 · outbound

This paper cites Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.823969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 490bf95f-3c64-49ef-ae2a-d429e464f96f · outbound

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources KMMLU: Measuring Massive Multitask Language Understanding in Korean

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.827044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ac279d8-7aa2-446d-ae29-43538f3ae481 · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:10.419309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0638c709-7430-4a87-87f5-c73508c21058 · outbound

This paper cites SEDD: Scalable and Efficient Dataset Deduplication with GPUs.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources SEDD: Scalable and Efficient Dataset Deduplication with GPUs

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.833130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d4c6ead-ff04-4761-bc9d-b73ff552dddd · outbound

This paper cites Hashimoto.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Hashimoto

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.835944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7fe5f65-bb9d-4cb5-80a8-c2127ef68272 · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.838646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 934f4e7d-8cfb-44b6-8b30-d216509719b8 · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.841321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 403835d7-c9f0-481e-b484-690a4d4f4d84 · outbound

This paper cites Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:10.398095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bedbd69e-0c4e-4295-b54d-7f522056a53e · outbound

This paper cites an unresolved cited work.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.846770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ec1bbde-270b-4f28-91a3-51b1c2eb17d8 · outbound

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources https://dumps.wikimedia.org Wikimedia downloads

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:10.381665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5786cb96-e991-42bc-a5ef-e04ba1cb34b5 · outbound

This paper cites A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio

Reference 75

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Source-reported events for the cited work

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Observation 6b5cf1a2-b129-471d-9d83-79b48f9e7118 · outbound

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.855676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2f6aa59-2222-48ff-924a-e678726c399a · outbound

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Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources HyperCLOVA X Technical Report

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.858559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 236a78a8-c5c5-47ae-9138-55f7dad0ba7e · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.861995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c03c1c0-abd3-423c-9bf0-820fc005bffc · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources Instruction-Following Evaluation for Large Language Models

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:09.864864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 970c4c04-7a5c-4329-82fe-061bc44cdbe5 · inbound

Optimizing Korean-Centric LLMs via Token Pruning cites this paper.

Optimizing Korean-Centric LLMs via Token Pruning Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:02:25.062607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.