Paper Citation Record · LEDGER

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study

As of 18 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2509.03972.

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

pith.paper-citation-record.v1
2509.03972 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:33:31.622309Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact1
verified fuzzy4
unresolved12
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5438d555-ca82-4db3-a91d-0db731c4d173 · outbound

This paper cites GPT-4 Technical Report.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T10:33:29.354795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcf2f634-4387-414d-bf44-dd8438acc536 · outbound

This paper cites Exaone 3.0 7.8 b instruction tuned language model.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study Exaone 3.0 7.8 b instruction tuned language model

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:33:33.048265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a2ff7de3-826e-4353-9bfa-8f1e08f86af8 · outbound

This paper cites Qwen Technical Report.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study Qwen Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T10:33:29.593317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 294430ef-f5a4-441b-a998-c39aa047d645 · outbound

This paper cites Accessed: 2024-09-28.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study Accessed: 2024-09-28

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:33:32.690901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 837694fe-d507-400b-83de-5108f3578f52 · outbound

This paper cites The Llama 3 Herd of Models.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study The Llama 3 Herd of Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T10:33:29.882404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a57b4d3-e453-4098-8cd0-85f3ace97187 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study KTO: Model Alignment as Prospect Theoretic Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T10:33:30.032482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df7b6809-f954-4e70-9164-b25d6b335b1e · outbound

This paper cites NEFTune: Noisy Embeddings Improve Instruction Finetuning.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T10:33:30.152621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e1aac1d-3f89-4cc4-8b9f-a4ba61f04de2 · outbound

This paper cites SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 8

Resolution: malformed identifier; no resolver link, observed 2026-08-05T10:33:30.244944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acdae5bd-4f23-480a-aaaf-07eaf3f7a198 · outbound

This paper cites KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T10:33:30.391814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97c501b7-cabb-4d1c-aca9-b3aa9b8683c0 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study Direct preference optimization: Your language model is secretly a reward model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T10:33:30.527332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1ef088a-4596-43ed-a168-1c8e4f25fa17 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study Proximal Policy Optimization Algorithms

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T10:33:30.704286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7efa1e1a-19df-4013-b808-b86496d3afab · outbound

This paper cites Staged training for transformer language models.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study Staged training for transformer language models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:33:32.375686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1ec49c79-87b0-4bfa-8bcf-f9fb79024cc3 · outbound

This paper cites KMMLU: Measuring Massive Multitask Language Understanding in Korean.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study KMMLU: Measuring Massive Multitask Language Understanding in Korean

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:33:31.877739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2c7b83a-9361-42d2-82f2-09f8cf7069c7 · outbound

This paper cites Attention Is All You Need.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study Attention Is All You Need

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T10:33:31.138069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 949e96f0-0d97-48b3-a76d-a97cb6f09fb1 · outbound

This paper cites LLaMA Pro: Progressive LLaMA with Block Expansion.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study LLaMA Pro: Progressive LLaMA with Block Expansion

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T10:33:31.270992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 560ec826-82f7-43ef-b32b-b17672a6af0e · outbound

This paper cites Masked Structural Growth for 2x Faster Language Model Pre-training.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study Masked Structural Growth for 2x Faster Language Model Pre-training

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T10:33:31.399281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e51d3ba2-0d5a-451a-bdcd-ff3f97741504 · outbound

This paper cites HyperCLOVA X Technical Report.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study HyperCLOVA X Technical Report

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T10:33:31.507964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 509cfc3b-569a-48cc-8742-0c7d7a16b67a · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:33:32.199591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.