Distilling Tool Knowledge into Language Models via Back-Translated Traces | Paper Citation Record

Observation 11490e9e-95cf-49af-8e30-b4c2dde354dd · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Chain-of-thought prompting elicits reasoning in large lan- guage models

Reference 1

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Observation 09a06414-f6c9-4c85-9ba8-7ea2be0fc1d9 · outbound

This paper cites an unresolved cited work.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 2

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Observation 70a400f7-53a5-4ae5-90de-22549ebaf13d · outbound

This paper cites Mumath-code: Combining tool-use large language models with multi-perspective data augmenta- tion for mathematical reasoning.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Mumath-code: Combining tool-use large language models with multi-perspective data augmenta- tion for mathematical reasoning

Reference 3

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Observation 24530c58-d293-4980-a071-e176c1b08477 · outbound

This paper cites Tora: A tool-integrated reasoning agent for math- ematical problem solving.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Tora: A tool-integrated reasoning agent for math- ematical problem solving

Reference 4

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Observation a150e92a-810d-4da8-abbe-a176a4b9352d · outbound

This paper cites Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use

Reference 5

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Observation 5d1b38b3-89b2-4ed8-a746-8d265c087767 · outbound

This paper cites ToRL: Scaling Tool-Integrated RL.

Distilling Tool Knowledge into Language Models via Back-Translated Traces ToRL: Scaling Tool-Integrated RL

Reference 6

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Observation 9c58ac6b-69b9-4dc9-be8d-14613d8b350d · outbound

This paper cites PAL: program-aided language models.

Distilling Tool Knowledge into Language Models via Back-Translated Traces PAL: program-aided language models

Reference 7

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Observation fae641b6-a190-4f5a-a39b-f2759e9e49f5 · outbound

This paper cites Mammoth: Building math generalist models through hybrid instruc- tion tuning.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Mammoth: Building math generalist models through hybrid instruc- tion tuning

Reference 8

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Observation e71b5fa0-c955-4b4d-9433-2f7c72b40aaa · outbound

This paper cites Mathcoder: Seamless code integration in llms for enhanced mathematical reason- ing.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Mathcoder: Seamless code integration in llms for enhanced mathematical reason- ing

Reference 9

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Observation 43e437a9-ed38-4096-a431-3e74b9a4987f · outbound

This paper cites Numinamath, 2024.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Numinamath, 2024

Reference 10

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Observation f8ef36bf-174c-4184-8011-48fdaa1f1f62 · outbound

This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

Distilling Tool Knowledge into Language Models via Back-Translated Traces WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Reference 11

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This paper cites Kwok, Zhenguo Li, Adrian Weller, and Weiyang Liu.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Kwok, Zhenguo Li, Adrian Weller, and Weiyang Liu

Reference 12

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Observation e85fecc2-2d41-4bdd-ad63-eef3dcabfd24 · outbound

This paper cites rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.

Distilling Tool Knowledge into Language Models via Back-Translated Traces rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 13

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This paper cites URL https://openre view.net/forum?id=N8N0hgNDRt.

Distilling Tool Knowledge into Language Models via Back-Translated Traces URL https://openre view.net/forum?id=N8N0hgNDRt

Reference 14

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This paper cites Sympy: symbolic computing in python.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Sympy: symbolic computing in python

Reference 15

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Observation 10c732de-7b3b-465b-8c43-b8c5fbc6518a · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Distilling Tool Knowledge into Language Models via Back-Translated Traces DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 16

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This paper cites Gpt-4o: Openaiâ ˘A ´Zs new multimodal flagship model.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Gpt-4o: Openaiâ ˘A ´Zs new multimodal flagship model

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:59.502480Z

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Observation 495283f1-eee4-48db-ad0d-d95f8c54b2ad · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Measuring mathematical problem solving with the math dataset

Reference 18

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This paper cites Introducing gpt-4.1 in the api.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Introducing gpt-4.1 in the api

Reference 19

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Observation 7af816f1-c5a1-4b72-aeef-e3303bf08a06 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 20

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This paper cites Unsloth: Open-source fine-tuning & training of llms, 2025.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Unsloth: Open-source fine-tuning & training of llms, 2025

Reference 21

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This paper cites LoRA: Low-rank adaptation of large language models.

Distilling Tool Knowledge into Language Models via Back-Translated Traces LoRA: Low-rank adaptation of large language models

Reference 22

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This paper cites Aime 2024 dataset.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Aime 2024 dataset

Reference 23

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This paper cites Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multi- modal scientific problems, 2024.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multi- modal scientific problems, 2024

Reference 24

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This paper cites Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica

Reference 25

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This paper cites Training Verifiers to Solve Math Word Problems.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Training Verifiers to Solve Math Word Problems

Reference 26

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This paper cites Math-verify.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Math-verify

Reference 27

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This paper cites AMC23 Dataset.

Distilling Tool Knowledge into Language Models via Back-Translated Traces AMC23 Dataset

Reference 28

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This paper cites Wolframalpha.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Wolframalpha

Reference 29

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This paper cites Camel: Commu- nicative agents for "mind" exploration of large language model society.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Camel: Commu- nicative agents for "mind" exploration of large language model society

Reference 31

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Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 33

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This paper cites Incorporatingplanningmodules that decide when and how to invoke tools can lead to more coherent reasoning traces.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Incorporatingplanningmodules that decide when and how to invoke tools can lead to more coherent reasoning traces

Reference 34

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This paper cites Models should learn to call a tool, interpret its output, reflect on its relevance, and adapt their next step accordingly.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Models should learn to call a tool, interpret its output, reflect on its relevance, and adapt their next step accordingly

Reference 35

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This paper cites Standardizing representations and enforcing validation layers around tool interfaces could minimize such semantic mismatches.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Standardizing representations and enforcing validation layers around tool interfaces could minimize such semantic mismatches

Reference 36

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Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 37

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This paper cites We want to find how many circles of radius 3 can be tangent to both \( C_1 \) and \( C_2 \).

Distilling Tool Knowledge into Language Models via Back-Translated Traces We want to find how many circles of radius 3 can be tangent to both \( C_1 \) and \( C_2 \)

Reference 38

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This paper cites For example, place \( C_1 \) at the origin and \( C_2 \) at (2,0) since they are tangent and each has radius 1.

Distilling Tool Knowledge into Language Models via Back-Translated Traces For example, place \( C_1 \) at the origin and \( C_2 \) at (2,0) since they are tangent and each has radius 1

Reference 39

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Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 40

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This paper cites Write equations for the distances from \((x,y)\) to the centers of \( C_1 \) and \( C_2 \) equal to 4 or 2, depending on tangency type.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Write equations for the distances from \((x,y)\) to the centers of \( C_1 \) and \( C_2 \) equal to 4 or 2, depending on tangency type

Reference 41

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Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

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Distilling Tool Knowledge into Language Models via Back-Translated Traces sympy_equations

Reference 43

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Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

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Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

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Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

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Distilling Tool Knowledge into Language Models via Back-Translated Traces "sympy_equations

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Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

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Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

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Distilling Tool Knowledge into Language Models via Back-Translated Traces "result"

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Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

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Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:58.971265Z

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This paper cites result"‘ field. If an error occurs, the ‘.

Distilling Tool Knowledge into Language Models via Back-Translated Traces result"‘ field. If an error occurs, the ‘

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:58.942943Z

Source-reported events for the cited work

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Observation 1679de82-74db-49ef-91d9-7a8d700e734a · outbound

This paper cites an unresolved cited work.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:58.927129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a9cace95-631c-4294-ad7a-fe95e03ef7f3 · outbound

This paper cites an unresolved cited work.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:58.912251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 486aee57-7149-4eec-8008-dfdb7b019226 · outbound

This paper cites an unresolved cited work.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:58.895703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 032c15fe-8faa-42e7-b7c9-b9366346dd11 · outbound

This paper cites an unresolved cited work.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:58.880618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5ac33c88-ee7d-4307-88e0-b030cbed7755 · outbound

This paper cites an unresolved cited work.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:58.864923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c191a58a-b478-4b2b-a261-bc3e43f55b18 · outbound

This paper cites an unresolved cited work.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:58.847626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c36eb1c5-88e9-4afd-bebf-1af19bb4c000 · outbound

This paper cites an unresolved cited work.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:58.832982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8fab9264-a930-4550-a7c1-316655667aa9 · outbound

This paper cites an unresolved cited work.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:58.817505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e5e3f11c-6aea-42bd-b0ed-43874110acef · outbound

This paper cites Therefore, the weight of the yellow snake is: \[ 50 + 10 = 60 \text{ pounds} \].

Distilling Tool Knowledge into Language Models via Back-Translated Traces Therefore, the weight of the yellow snake is: \[ 50 + 10 = 60 \text{ pounds} \]

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:58.801850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 62247ae5-ea49-47dd-bb14-1b15e11fe81b · outbound

This paper cites an unresolved cited work.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:58.785222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ae5e9d9a-4879-4f2b-bfb8-27cf2a6393ed · outbound

This paper cites an unresolved cited work.

Distilling Tool Knowledge into Language Models via Back-Translated Traces Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:11:59.448033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5a8c7688-4624-46df-9022-458ea74c9e73 · outbound

This paper cites URL https://openre view.net/forum?id=z8TW0ttBPp.

Distilling Tool Knowledge into Language Models via Back-Translated Traces URL https://openre view.net/forum?id=z8TW0ttBPp

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:59.612868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers