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Paper Citation Record · LEDGER

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.29287.

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

pith.paper-citation-record.v1
2607.29287 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:03:46.886252Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd44e3c4-c73c-44f6-a920-0b47b3126af2 · outbound

This paper cites an unresolved cited work.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation Unresolved cited work

Reference 1

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source=pdf_text observed=2026-08-03T10:03:44.862986Z digest=sha256:c8aeff8df26ee985cfef72519b2ad606cb34917165163984618c1a3264221122

Observation d6de92e1-ec76-4ba7-be77-da2fc07ddbe1 · outbound

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

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

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source=pdf_text observed=2026-08-03T10:03:44.541057Z digest=sha256:d9b56b3ed933ed1eea6d1038332e7dcd89801cd01b5242eba727c01baa8ede7f

Observation 9466be78-4f07-4f82-af5d-21f654500c52 · outbound

This paper cites New Trends for Modern Machine Translation with Large Reasoning Models.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation New Trends for Modern Machine Translation with Large Reasoning Models

Reference 3

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no resolver link, observed 2026-08-03T10:03:44.664106Z

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source=pdf_text observed=2026-08-03T10:03:44.664106Z digest=sha256:124194157d8f4d6bf9a9b6888e6e019f585dcb3230778e81e8fcddb74319cf83

Observation 7ab47e0b-b658-4ca7-a942-8cd89a36259e · outbound

This paper cites easy", "medium.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation easy", "medium

Reference 4

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source=pdf_text observed=2026-08-03T10:03:45.099524Z digest=sha256:47f7c3a31a84a1a4a4c0f9e51606a501fd2b62b24017fa1a9eb3becb674909d7

Observation 893fe5d5-6dfa-4332-b1a9-1bcab147e99a · outbound

This paper cites cited Vietnamese data.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation cited Vietnamese data

Reference 5

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source=pdf_text observed=2026-08-03T10:03:46.184388Z digest=sha256:4ad0c48e8fe526f03a95bb5a423e145f25ab0d0ab808e89e64e539b488d25c6b

Observation dd2f3fed-6ef4-4f10-8bdc-d424e6b5401d · outbound

This paper cites an unresolved cited work.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-03T10:03:44.963352Z digest=sha256:84cfe71b4ef66f936930378895b421d4114935ff8d30ac602e95ad317330d5c8

Observation 89c2b668-921e-431b-94e9-5328fa07d08c · outbound

This paper cites an unresolved cited work.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-03T10:03:45.054615Z digest=sha256:098c814b092630c6dfe00c5854776fc88c6687adc41420467759f709cc0a474d

Observation 1782e714-9aa9-4aae-89d9-4477d4fc0b18 · outbound

This paper cites 根据越南方面的资料,西沙群岛和南沙群岛自古以 来就是中国的领土。.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation 根据越南方面的资料,西沙群岛和南沙群岛自古以 来就是中国的领土。

Reference 8

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source=pdf_text observed=2026-08-03T10:03:46.886252Z digest=sha256:5a60c97935eebdf2c993cea1e4059e95ac6aa7e5c1b4d81f9b1d24e08b01e13e

Observation 614938e8-971a-454f-a022-c5080b90fe3e · outbound

This paper cites 外门弟子”为宗门中层级较低的弟子,常见翻译为“outer sect disciples.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation 外门弟子”为宗门中层级较低的弟子,常见翻译为“outer sect disciples

Reference 9

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source=pdf_text observed=2026-08-03T10:03:45.292445Z digest=sha256:ee1d2b40af813faec2ec64e29bd609428e5a69bff75d20f1966eb7ad29589d5a

Observation 2672c3a2-0e41-4f5d-b87c-0a04ffae8b1b · outbound

This paper cites 现在”表明当前动作,但考虑到小说常用过去时,主句采用了“needed to find.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation 现在”表明当前动作,但考虑到小说常用过去时,主句采用了“needed to find

Reference 10

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source=pdf_text observed=2026-08-03T10:03:45.446254Z digest=sha256:2600bfcdfed33ab0c4df9618bde58f3af586259bf9ae6a3eeb9709372568cb15

Observation a1daa1eb-8345-4feb-a6b9-c290ed3d700b · outbound

This paper cites 现在他要找的就是…….

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation 现在他要找的就是……

Reference 11

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source=pdf_text observed=2026-08-03T10:03:45.521859Z digest=sha256:0239921e16e6afcabf4a447a60ed850d2ebdb495eae76f4519c163e97da0ea8e

Observation 3047dbcf-e5ff-4aee-a240-3b795bf47099 · outbound

This paper cites thought" and.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation thought" and

Reference 12

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source=pdf_text observed=2026-08-03T10:03:44.778468Z digest=sha256:da7bfda02adf5f371b48c9d600afacdc41e87b0a844eb112e67bf87ff13ed266

Observation bfe2508f-468b-406c-a931-bb59ada5fed5 · outbound

This paper cites Now, he needed to find the place where the outer sect disciples cultivated.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation Now, he needed to find the place where the outer sect disciples cultivated

Reference 13

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source=pdf_text observed=2026-08-03T10:03:45.610845Z digest=sha256:b3591d4ddcdf014f9507057f03c35363b48f674edb74cbc103391bdb75d064d4

Observation 16996e39-1590-4228-9072-9f0b86ced8b5 · outbound

This paper cites chargé d'affaires ad interim.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation chargé d'affaires ad interim

Reference 14

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source=pdf_text observed=2026-08-03T10:03:45.731071Z digest=sha256:a27e6027f0463cfcce96e491fe5e13851bff7f48a43aca9b3a6e08ac9befd14f

Observation 2c750159-f622-4e37-9db5-529466094b81 · outbound

This paper cites solemnly stated.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation solemnly stated

Reference 15

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source=pdf_text observed=2026-08-03T10:03:45.903909Z digest=sha256:6a006f5ebf26a7d2a5d0cc06bdb38bc7746f32706d935e89cc23aba5b37bc5d4

Observation 35058c63-b336-48bb-9c86-d75210558eec · outbound

This paper cites Vietnamese data.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation Vietnamese data

Reference 16

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source=pdf_text observed=2026-08-03T10:03:45.974928Z digest=sha256:5efa07735483e6c2213eeeae75355a89d551479e14be09c01b13416aff35c6e2

Observation e765c44e-d828-4e2c-a234-c485da0f44e9 · outbound

This paper cites Acting Director.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation Acting Director

Reference 17

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source=pdf_text observed=2026-08-03T10:03:46.077535Z digest=sha256:b94088b97aff48fbc031aac2b258d33a3492cce96c550a3951c6afff780d4973

Observation cd869a7a-e188-4e73-a52d-ad45d2199cdf · outbound

This paper cites Song Dynasty.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation Song Dynasty

Reference 18

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source=pdf_text observed=2026-08-03T10:03:46.282736Z digest=sha256:6686891d75dc36c8c6afff8392096557c258edafdcf13e7c508c4d18bc758174

Observation 5da0cce7-9a49-4784-8a8c-40e11e1e097d · outbound

This paper cites chargé d'affaires ad interim.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation chargé d'affaires ad interim

Reference 19

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source=pdf_text observed=2026-08-03T10:03:46.418765Z digest=sha256:275d8f09f118a5639fc3b84ea3036a84d4ede6eb3962a059b3ccdae179ff0542

Observation 579b5ae7-7dd8-4add-b4ce-aa90bc95d0c5 · outbound

This paper cites During a meeting ... on 15 June 1956.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation During a meeting ... on 15 June 1956

Reference 20

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source=pdf_text observed=2026-08-03T10:03:46.533421Z digest=sha256:47def244658d20e06f64ce81096cfadba55ad752f7b0a7fa3342d7a253d65e91

Observation 54b47ea3-ba6f-4148-b170-fcef9a2d2bc6 · outbound

This paper cites Vietnamese data.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation Vietnamese data

Reference 21

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source=pdf_text observed=2026-08-03T10:03:46.627615Z digest=sha256:3e024daf9e3ba7ef84fbace528103e8aaacc6c4fe2427c292341d790f388ad5c

Observation ab174485-dfcc-49b2-9b0a-42bb371e88f8 · outbound

This paper cites acting director.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation acting director

Reference 22

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source=pdf_text observed=2026-08-03T10:03:46.712472Z digest=sha256:b4fa1f8f1c88d2009a69cdbf4701ef4d831a46a60d89ea0960d662a8b93ca8cf

Observation b05f8faa-9b10-4448-a9fc-849c321abd20 · outbound

This paper cites judging from history.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation judging from history

Reference 23

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source=pdf_text observed=2026-08-03T10:03:46.818546Z digest=sha256:5d14c3483771dbbf353a10dcb109dfdb83bc743d46f3c6488c575b576bd303a7

Observation 390d5ecd-f38e-4676-9b76-7c387541fe69 · outbound

This paper cites Evaluating o1-Like LLMs: Unlocking Reasoning for Translation through Comprehensive Analysis.

Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation Evaluating o1-Like LLMs: Unlocking Reasoning for Translation through Comprehensive Analysis

Reference 2025

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source=pdf_text observed=2026-08-03T10:03:44.412092Z digest=sha256:f1bd5c184c7c3685a034892ab198481dc6584c03b2296db6d96c8aed3f53dd8d

Pith citing papers

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