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Paper Citation Record · LEDGER

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.00246.

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

pith.paper-citation-record.v1
2507.00246 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:25:04.556386Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved23
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15e262eb-3b4b-49a6-afff-f265e793ad0f · outbound

This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 1

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source=arxiv_source observed=2026-08-06T21:25:01.706270Z digest=sha256:5c03e03dd310342cc2b8e88a891da9e607061237da31c77341dd0c565bac34c6

Observation 96dc6c19-44a1-4207-99f2-d80823584f85 · outbound

This paper cites 2023 amc 12a.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning 2023 amc 12a

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:25:01.792584Z digest=sha256:ac2262a64dbb6d84bac6a4c4d06b944f10169b6c9b6a66ab88989f26840b0a0a

Observation 7e579538-49b2-433c-898b-b3fb75d4a88f · outbound

This paper cites 2023 amc 12b, 2023 b.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning 2023 amc 12b, 2023 b

Reference 3

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:25:01.888516Z digest=sha256:5ce617dd5d357be2dcdb5510932b459a82c3c6d4f96fd78d15664c21c35dd6be

Observation 0715bb87-c609-4d3d-9898-7a8c4130ba27 · outbound

This paper cites 2025 aime i, 2025 a.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning 2025 aime i, 2025 a

Reference 4

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raw_fallback, observed 2026-08-06T21:25:05.186807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:25:01.991923Z digest=sha256:57758876e28ef581a12b872523f6c53c8ebbac49c72b707adc740e959e993d1c

Observation d2863ea3-f5c8-480d-9644-7b08d1c2805d · outbound

This paper cites 2025 aime ii, 2025 b.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning 2025 aime ii, 2025 b

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:25:02.087453Z digest=sha256:97a86aaefe53b4a61da4fc0846a5b7e5f74fbce64d0a008ae1717f533c439d85

Observation c68f9afb-8c0f-4b73-8bf9-a9ab799cfdb7 · outbound

This paper cites Multilingual Test-Time Scaling via Initial Thought Transfer.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Multilingual Test-Time Scaling via Initial Thought Transfer

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:25:02.205229Z digest=sha256:21ce0403bc3f3e3836e38881775af8d3636df87fb2d947fa720e2c53998171a7

Observation f001fba9-acb6-49b0-b7aa-371b3187e8ab · outbound

This paper cites Evaluating Large Language Models Trained on Code.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Evaluating Large Language Models Trained on Code

Reference 7

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source=arxiv_source observed=2026-08-06T21:25:02.301680Z digest=sha256:885af3f0fb4f68e2675f077ebe87d00ed2398253852984a602eb1ebe666293f8

Observation ff896182-6010-44ea-9fff-6d4d9d5fc258 · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 8

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source=arxiv_source observed=2026-08-06T21:25:02.380510Z digest=sha256:2f9a6c255b8094300fae7b47fcbed8ac769e808702ee2d93ee141c25169505bd

Observation 10523124-a015-49c1-8721-8e415a1b2aa7 · outbound

This paper cites The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks

Reference 10

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source=arxiv_source observed=2026-08-06T21:25:02.539956Z digest=sha256:66da42cfec681963439e7495af3cb5fb8a1186e90c947fe822309b0e9fe463a1

Observation 9cfae8fb-2fa6-458e-878f-3cbebc397df1 · outbound

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

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

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source=arxiv_source observed=2026-08-06T21:25:02.680131Z digest=sha256:e510b434ef1d650d53d5bbc742f742d7360877c1a5854d53f4ebddd5543c9a18

Observation 61a86427-8a32-4d80-9fff-7aa8da155ddd · outbound

This paper cites Could Thinking Multilingually Empower LLM Reasoning?.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Could Thinking Multilingually Empower LLM Reasoning?

Reference 12

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source=arxiv_source observed=2026-08-06T21:25:02.802112Z digest=sha256:3abcd4667d94783cf72ac7b007de40aecf75e260c4f6ffb18e895793785969a3

Observation 2a0b05d8-96b5-495e-a35c-f673cfb75d0f · outbound

This paper cites Chinese and english mathematics language: The relation between linguistic clarity and mathematics performance.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Chinese and english mathematics language: The relation between linguistic clarity and mathematics performance

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T21:25:05.155552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:25:02.920125Z digest=sha256:86e4d61d53e3a74d27bc079072cb0777e02cdbf733fb2efd773c9598960ad4cd

Observation e3340c46-7c29-4a73-9d63-d865f276c979 · outbound

This paper cites DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs

Reference 14

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source=arxiv_source observed=2026-08-06T21:25:03.027916Z digest=sha256:45f1a67e6fc4f99f24d19d027da8cb7c69f18b487df88b5b3af0ab933fcfecc3

Observation ffff94bc-016a-45cb-a25e-346ef9687586 · outbound

This paper cites Bag of Tricks for Efficient Text Classification.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Bag of Tricks for Efficient Text Classification

Reference 15

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source=arxiv_source observed=2026-08-06T21:25:03.111327Z digest=sha256:1bd57af00dabc7b18fe4ee033005a53dd9bc8fa63c9945c9b750cb62d0e68c43

Observation 0b71fe97-41ba-4bef-84a3-6468ff15bec1 · outbound

This paper cites Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap

Reference 16

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source=arxiv_source observed=2026-08-06T21:25:03.269853Z digest=sha256:83e12b9b7e05a1157d87710f3c0169e472afdf92f5931b6b3216d631b8d01ecd

Observation 0aa89a8f-75b0-4495-9418-d86cad524719 · outbound

This paper cites Let's Verify Step by Step.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Let's Verify Step by Step

Reference 17

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source=arxiv_source observed=2026-08-06T21:25:03.390910Z digest=sha256:cbfb0f01975bedfd9fe80de55975a8dbfaec8e39e88e6d5676a3753c3fcf9023

Observation 29ac2557-94b7-4f1d-93ed-691b3ef2bdcb · outbound

This paper cites Reasoning Models Can Be Effective Without Thinking.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 18

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source=arxiv_source observed=2026-08-06T21:25:03.572111Z digest=sha256:8c0466a33fcbe98ebe1d507f7a0b5e8a931aa6d4cfb69c2915521b08b1e8c881

Observation 22bfe443-9fe0-4d17-a5d0-72d76b292241 · outbound

This paper cites Deepseek-r1 thoughtology: Let's think about llm reasoning, 2025.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Deepseek-r1 thoughtology: Let's think about llm reasoning, 2025

Reference 19

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source=arxiv_source observed=2026-08-06T21:25:03.692437Z digest=sha256:9ac565713dca9aa42db3669a0bc2f9e39634dc9bba430d4fe311eb75fb363087

Observation 4742346b-bcd7-431a-9e64-e1a1d32bbfda · outbound

This paper cites GPT-4o System Card.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning GPT-4o System Card

Reference 20

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source=arxiv_source observed=2026-08-06T21:25:03.794772Z digest=sha256:20b3b28f8934d88753c629540a983e319327a5ff7de381950e9c7cb630c19a56

Observation ffd4bcec-95ac-41fa-be5f-541f2b0b9d3a · outbound

This paper cites OpenAI o1 System Card.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning OpenAI o1 System Card

Reference 21

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source=arxiv_source observed=2026-08-06T21:25:03.868643Z digest=sha256:65ef2b2a39a28014fd6e6d09a501b866ff008e11fd22cba3e7afa3718b4308ed

Observation 559e9c28-ccf5-42d7-b822-c4b96a2e7d03 · outbound

This paper cites Cross-lingual prompting: Improving zero-shot chain-of-thought reasoning across languages.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Cross-lingual prompting: Improving zero-shot chain-of-thought reasoning across languages

Reference 22

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source=arxiv_source observed=2026-08-06T21:25:03.999849Z digest=sha256:942393677d5dceca8fc6498243ddc6571be628e65fc9d8a268c6e3d3480755d3

Observation 1b3c51a0-3b1e-458d-b1a7-1c002bcc5e99 · outbound

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

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Language Models are Multilingual Chain-of-Thought Reasoners

Reference 23

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source=arxiv_source observed=2026-08-06T21:25:04.180908Z digest=sha256:90a7efa43946d0448ae9b67c195703c00e967845ce7b20c5170e5dd0cf967b60

Observation 8d8735ce-f630-4bf9-be90-9e4523b9ec67 · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 25

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source=arxiv_source observed=2026-08-06T21:25:04.422429Z digest=sha256:864c6d52fc893ae962eb9bcbc94f43f9e9d6d50e95288048d1856cd7565b2d01

Observation 56170b86-84e3-49db-9b3e-353143d32512 · outbound

This paper cites Qwen3, April 2025 a.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Qwen3, April 2025 a

Reference 26

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:25:04.514406Z digest=sha256:24a93ca92f5a6b75534b791a2ed409cbaef01cb036d406c5795339a17e3ea65d

Observation c488218a-7bbc-4bdc-831c-b666162bc447 · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning, March 2025 b.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Qwq-32b: Embracing the power of reinforcement learning, March 2025 b

Reference 27

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raw_fallback, observed 2026-08-06T21:25:05.123693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:25:04.519253Z digest=sha256:92217e7d067a0045ac06cb09861443ebec7b7719a96cd6033c1abc6bc7339339

Observation d3536d58-657e-4f89-b86f-cf8c31b15163 · outbound

This paper cites Aime problem set 1983-2024, 2023.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Aime problem set 1983-2024, 2023

Reference 28

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source=arxiv_source observed=2026-08-06T21:25:04.523859Z digest=sha256:bd8951fe0e4330a1c7fab1ad8dd978d9007460c0fe6674ffb215ad62d37d6cf0

Observation 7b281e5a-ec8e-495a-b750-e3c216963509 · outbound

This paper cites Do llamas work in english? on the latent language of multilingual transformers.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Do llamas work in english? on the latent language of multilingual transformers

Reference 29

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raw_fallback, observed 2026-08-06T21:25:05.096137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:25:04.527773Z digest=sha256:5394d2af23824a1943e16cb2de18f065a071a368af4110c51015b0f6140ebcbc

Observation ba81b964-c9d5-45b9-9e89-92df9fb176a5 · outbound

This paper cites Qwen2.5 Technical Report.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Qwen2.5 Technical Report

Reference 30

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source=arxiv_source observed=2026-08-06T21:25:04.531908Z digest=sha256:4041afd7795739a7b3b40b8255dafe6be0cdd663d33423cbf81cf2ba3dadd485

Observation 457cd4e3-9ce6-49a4-9b58-0dac3e98095b · outbound

This paper cites Gonzalez, Clark Barrett, and Ying Sheng.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Gonzalez, Clark Barrett, and Ying Sheng

Reference 31

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raw_fallback, observed 2026-08-06T21:25:05.077687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:25:04.536690Z digest=sha256:7f7a5c4034c507963b575ba8681f5a7168cbef3f8bb9def2b81bfd207dcd8145

Observation 0cec8626-d8ed-4bf4-8cb0-04d9842eeb26 · outbound

This paper cites write newline.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning write newline

Reference 32

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source=arxiv_source observed=2026-08-06T21:25:04.540758Z digest=sha256:4565e083726e8e6516d47622fb4dfacd47cf1fe96c7d3be29e970c48102ffccb

Observation 87a34784-6b50-421d-9f57-873dc4788787 · outbound

This paper cites @esa (Ref.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning @esa (Ref

Reference 33

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source=arxiv_source observed=2026-08-06T21:25:04.546043Z digest=sha256:1df577fe64d3955baf9017c516164825f12827ac4760bfc4dde3089b1c8d6201

Observation 8f5db0a1-9be5-4776-ada1-3108fd07508e · outbound

This paper cites an unresolved cited work.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Unresolved cited work

Reference 34

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source=arxiv_source observed=2026-08-06T21:25:04.550906Z digest=sha256:237fc564a8c9bf3e414e7c0543638bb60d0d3aa2238ab5099c633f4e3b2bc994

Observation 9e7501e0-7e8d-4970-b09a-8d4d35fdfd2d · outbound

This paper cites better\_response\_label.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning better\_response\_label

Reference 35

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raw_fallback, observed 2026-08-06T21:25:04.680298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:25:04.556386Z digest=sha256:0de05492fcf953705a0fe61cd7400dbafeed7763ce8479252abca2d559c534f6

Pith citing papers

No inbound Pith citation observations are available.