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Paper Citation Record · LEDGER

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2502.09056.

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

pith.paper-citation-record.v1
2502.09056 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:52:27.526809Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T14:26:12.225616Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:57:41.131447Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 779e22e9-3808-42c8-8fa5-5dc61b1dcea0 · outbound

This paper cites Thai LLM Leaderboard , 2024.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Thai LLM Leaderboard , 2024

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T22:52:27.750224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T22:52:27.432712Z digest=sha256:a9e2a171a049866eb3f73356abb945074f5ba1c493a881b8f32f3ac9ab074042

Observation bde4cb60-85b2-477d-bb19-4fcfb779b978 · outbound

This paper cites Evolutionary Optimization of Model Merging Recipes.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Evolutionary Optimization of Model Merging Recipes

Reference 2

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T22:52:27.435986Z digest=sha256:e9aece8c477d27e2e267c6a5bd279d4776c6db527342e343223460b3d8d92348

Observation 435c6d88-a575-4be9-b785-812b75b20c37 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 3

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source=arxiv_source observed=2026-08-07T22:52:27.439317Z digest=sha256:a270c4adbe88597e3c85b26caa7dc5f5005b90c9a957c9ec067583afc922fce4

Observation ab92f6eb-3117-4ddf-8408-78905600200d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 4

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no resolver link, observed 2026-08-07T22:52:27.442758Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T22:52:27.442758Z digest=sha256:70c58eafa3fb17e81d3b9b38d35b807e44a0b81cfe608111d46e8058992f71a5

Observation 67139c05-f2b6-4d62-8c3d-c407b06be1c5 · outbound

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

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Sailor: Open Language Models for South-East Asia

Reference 5

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source=arxiv_source observed=2026-08-07T22:52:27.446048Z digest=sha256:486cac0cd81a5067be1581fbdd9eeffd227a6ea4259db4665dd6f498a78d6ff3

Observation 07ef9962-ca36-4187-84ab-c691bea73031 · outbound

This paper cites Arcee's MergeKit: A Toolkit for Merging Large Language Models.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Arcee's MergeKit: A Toolkit for Merging Large Language Models

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T22:52:27.449256Z digest=sha256:05360842cb4f26146560104cf1d302bbe5c1d8ccdfe2f87584f581e76a0bf554

Observation b5c4f3c8-f1bd-4009-a40f-eb2f5d9a2b6e · outbound

This paper cites The Llama 3 Herd of Models.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe The Llama 3 Herd of Models

Reference 7

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source=arxiv_source observed=2026-08-07T22:52:27.452412Z digest=sha256:f76077aa757e206ac3a0d3e52520ec15213f39fb692110935d19570e05f6e16e

Observation 9f61a3f5-b591-46cc-be7c-628a1be82ec9 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Measuring Mathematical Problem Solving With the MATH Dataset

Reference 8

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source=arxiv_source observed=2026-08-07T22:52:27.455685Z digest=sha256:4b2fe2c2cee879276e0ea60a22c9448334ceab6911a2e7f56d18eecb9dbd04b1

Observation 365d5487-b3e7-4031-995b-d7b74351da22 · outbound

This paper cites Liger Kernel: Efficient Triton Kernels for LLM Training.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 9

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source=arxiv_source observed=2026-08-07T22:52:27.458348Z digest=sha256:50c9f021dcb2e93d1f10e6d4901e1e0a8aea16d11a814055cbb712272120887c

Observation 43260d21-b279-43a5-8f0b-1e89e8d3fe34 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 10

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source=arxiv_source observed=2026-08-07T22:52:27.461296Z digest=sha256:5e5bb6b2290097d3b4c02faa64e159d99fd95ff352c329500ea52450c2745e78

Observation 16ac0850-79ac-43af-9109-12b78b353da6 · outbound

This paper cites Bespoke-Stratos: The unreasonable effectiveness of reasoning distillation.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Bespoke-Stratos: The unreasonable effectiveness of reasoning distillation

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T22:52:27.464092Z digest=sha256:5f78e997d87d67c9bdb5e9c356bf493ed787e7281b3d34b84952c4ffc4c7a69f

Observation e45d6b8b-79fd-4f54-8634-9412dda7c98f · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 12

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source=arxiv_source observed=2026-08-07T22:52:27.466526Z digest=sha256:b0803c83d7eb4b8562742f7b40fc475c4060628ca6b5e40d1b309c0000037797

Observation 9ed2ae3f-e897-48e6-a9e2-8971e3756a4e · outbound

This paper cites Let's Verify Step by Step.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Let's Verify Step by Step

Reference 13

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source=arxiv_source observed=2026-08-07T22:52:27.469315Z digest=sha256:34a1eb1e36e6991dc328b30c7076c97eaf8b55eebb29434aa7f4096509834018

Observation f042fb36-d930-4329-b328-70b3886df4fc · outbound

This paper cites Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities

Reference 14

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source=arxiv_source observed=2026-08-07T22:52:27.471985Z digest=sha256:1057560a7f41f35f0d27de72ee071dddc2465fb93fb5d763108255df824cb0e0

Observation 60052f16-9870-41a0-ab53-a0461b2cb52e · outbound

This paper cites EuroLLM: Multilingual Language Models for Europe.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe EuroLLM: Multilingual Language Models for Europe

Reference 15

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source=arxiv_source observed=2026-08-07T22:52:27.474544Z digest=sha256:3011fea87032aa11896eeca7fe54d5e38e6da9043f1d3c92c30afbc8b06d5cea

Observation fc94bc5a-5a4e-415d-ab0c-bba44b38f2bb · outbound

This paper cites SeaLLMs -- Large Language Models for Southeast Asia.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe SeaLLMs -- Large Language Models for Southeast Asia

Reference 16

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no resolver link, observed 2026-08-07T22:52:27.477828Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T22:52:27.477828Z digest=sha256:b061278ee6afef5a03c9cc79535f58ad8a5584a69b807431e8c2755905854e8e

Observation aa4ed3b6-7d4f-4ad7-95fe-15deadc1726c · outbound

This paper cites Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models

Reference 17

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source=arxiv_source observed=2026-08-07T22:52:27.480570Z digest=sha256:3d81541fbe1d00db1a72305679912b9ab2e0bf660886a91022bae9c64a3b6d60

Observation 808f2cef-edff-4108-89ae-5bd779487bf2 · outbound

This paper cites Qwen2.5 Technical Report.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Qwen2.5 Technical Report

Reference 18

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source=arxiv_source observed=2026-08-07T22:52:27.483129Z digest=sha256:46d2ed9a2a261020c30b6b68d27da8ff410f91f70f426d753be08ad6eb5e3855

Observation df7314c4-48ad-4774-b909-22c87b0e1ab3 · outbound

This paper cites ZeRO: Memory Optimizations Toward Training Trillion Parameter Models.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Reference 19

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source=arxiv_source observed=2026-08-07T22:52:27.485818Z digest=sha256:33b9399f63d03d991139f8fae9b7118824e48f177dd0fe9d76b7e15e29674316

Observation eac7df40-a87e-4ede-97cf-a15b1ab88d88 · outbound

This paper cites Language Models are Multilingual Chain-of-Thought Reasoners.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Language Models are Multilingual Chain-of-Thought Reasoners

Reference 20

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no resolver link, observed 2026-08-07T22:52:27.489368Z

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source=arxiv_source observed=2026-08-07T22:52:27.489368Z digest=sha256:e40dbd86c2ebe7e0e1f02972439a54af07df25b09ede7910d3bad18df13d06ec

Observation d5a0a415-f394-4db3-8b9f-8cc8c366d8ef · outbound

This paper cites SEA-LION (Southeast Asian Languages In One Network): A Family of Large Language Models for Southeast Asia.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe SEA-LION (Southeast Asian Languages In One Network): A Family of Large Language Models for Southeast Asia

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-07T22:52:27.735550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T22:52:27.492103Z digest=sha256:3857c7812202cee58b35661b6334320526e9cf9e04b4d0f19f1f6fd0296ffc8e

Observation 9a9efd60-9a30-44cd-8e96-3c09734d7ed5 · outbound

This paper cites Domain Adaptation of Llama3-70B-Instruct through Continual Pre-Training and Model Merging: A Comprehensive Evaluation.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Domain Adaptation of Llama3-70B-Instruct through Continual Pre-Training and Model Merging: A Comprehensive Evaluation

Reference 22

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local_arxiv, observed 2026-08-07T22:52:27.570002Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T22:52:27.494454Z digest=sha256:3693167537e3cc166fd3e011b085e67639e022930541983b25f3874c5068364b

Observation e5e83e52-5e43-4026-ad88-8be12421d744 · outbound

This paper cites Sky-T1: Train your own O1 preview model within \ 450.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Sky-T1: Train your own O1 preview model within \ 450

Reference 23

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raw_fallback, observed 2026-08-07T22:52:27.727676Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T22:52:27.497141Z digest=sha256:57656a654464937fced7e991ab2c41fa6f98f6bbda2681882d4b9161c91fe531

Observation 2eae569e-e7af-4b5a-b5e3-02668fe229e7 · outbound

This paper cites QwQ: Reflect Deeply on the Boundaries of the Unknown , November 2024.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe QwQ: Reflect Deeply on the Boundaries of the Unknown , November 2024

Reference 24

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raw_fallback, observed 2026-08-07T22:52:27.719900Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T22:52:27.499877Z digest=sha256:d939fb529d817d3d7b0a81010d2caa4d2d1d716b292012db308f5b8cc83f4fc8

Observation 4971e84e-d23d-49cc-8801-e625786bd452 · outbound

This paper cites MT-Bench Thai , 2024.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe MT-Bench Thai , 2024

Reference 25

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raw_fallback, observed 2026-08-07T22:52:27.712196Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T22:52:27.502294Z digest=sha256:e0707cbb7a2cfd8443930db83d64af9a986834cc36923fa3d6b6ae8132838142

Observation 311c213f-bb52-416f-bc7d-2b57a9501e96 · outbound

This paper cites airesearch/WangchanThaiInstruct , 2024.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe airesearch/WangchanThaiInstruct , 2024

Reference 26

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raw_fallback, observed 2026-08-07T22:52:27.704497Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T22:52:27.504688Z digest=sha256:9accc907769cd025c859d47a907f7ea347d7b43fadfaa47149a359f3a6780353

Observation 412a4a2b-2934-4da1-acd2-88f15d117eaf · outbound

This paper cites Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 27

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source=arxiv_source observed=2026-08-07T22:52:27.507099Z digest=sha256:06e175e3947b4fa75a1f0feaec41ce91508c876caf023845e014ac7a77cf1864

Observation 1a90c602-eb2a-4d02-bcc4-ee527f993db2 · outbound

This paper cites Gonzalez, and Ion Stoica.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Gonzalez, and Ion Stoica

Reference 28

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raw_fallback, observed 2026-08-07T22:52:27.696843Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T22:52:27.509988Z digest=sha256:dc0f2d560a55d4ee7110a2862dc602da05d2004a1dbe5751a9e1bcb583bc12d6

Observation 66420bfd-0ad7-4732-8ef3-efd765654c89 · outbound

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

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Instruction-Following Evaluation for Large Language Models

Reference 29

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source=arxiv_source observed=2026-08-07T22:52:27.512578Z digest=sha256:2125b035e086c02d5425a223247e3021cc29998336cdb04bfde3c7d1fcacb421

Observation 4215abeb-bfce-4f14-b092-4bacb61dc7e9 · outbound

This paper cites Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model

Reference 30

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source=arxiv_source observed=2026-08-07T22:52:27.515455Z digest=sha256:2ae6a3b53cd6c514d0c9ecdebdc5e9dc20b3e1e471c6e148f9d93c53bce23544

Observation 8fe9b489-f87b-409c-8baa-a3e6d225c876 · outbound

This paper cites write newline.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe write newline

Reference 31

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source=arxiv_source observed=2026-08-07T22:52:27.518151Z digest=sha256:afd126dfd2ce5a63c451cbaeafcec5263ab5669d3c26274f349b56ae7b301d8c

Observation 65d620db-893b-4de1-9db6-3ed2da2adfcd · outbound

This paper cites @esa (Ref.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe @esa (Ref

Reference 32

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source=arxiv_source observed=2026-08-07T22:52:27.521104Z digest=sha256:f3d2a367e4a515fad3e975c35ed1e808b8b22611a900b961f13e3611a991614e

Observation e998b8eb-b747-42c6-875d-fb2cad1b5630 · outbound

This paper cites an unresolved cited work.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Unresolved cited work

Reference 33

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source=arxiv_source observed=2026-08-07T22:52:27.524078Z digest=sha256:8918f91eebbcbb61aae62013ccd41f6717c21cde6552b36c3d2688e46f1a03d5

Observation 136a55b4-e886-4c2d-8ef1-5bc4791e87c7 · outbound

This paper cites an unresolved cited work.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Unresolved cited work

Reference 34

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source=arxiv_source observed=2026-08-07T22:52:27.526809Z digest=sha256:37a23bc6a688b8d31445cc3fb2e53f291b43d7eb1fbe624f1f20da8c08599b84

Pith citing papers

Observation 820ccee3-f552-4cfb-b1e2-f361b7ca43a1 · inbound

Learning When to Translate for Multilingual Reasoning cites this paper.

Learning When to Translate for Multilingual Reasoning Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe

Reference 48

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metadata mismatch
arxiv_id, observed 2026-07-01T23:26:21.916009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-28T14:26:12.225616Z digest=sha256:cd2d81220b89b2d95b8389d896d59885043434470960bcff8181cb54e6bd86df

Observation 8af0fd78-1ec5-4001-95d1-774753963e39 · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe

Reference 193

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arxiv_id, observed 2026-07-03T05:57:41.133496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:48ded7d8d8151eed6ccbb8f5054c64bc2fbce53fe59a68b005e60ce9f44c9f36