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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-08T06:32:00.761636+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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:03:44.862986Z digest=sha256:ff5e7d2ebbb82f256c6e90de1d4e8862e207318c4914463b2b3f923df74c47ec

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=sha256:7edb55f6f84d2ef42c549541b6c16b3bec69e12c29611fcfe3962569a2d27245

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:d2fe2a5f9cad8e048eb7a12ef4e7bddbd9e0071c7e0a03a4e4630b9e6af434a7

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=sha256:7f490958915a97064c17b4f04aa45408a08bb8838796ebb12975f8b7c7c98e1f

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=sha256:196bde586c11f235494ad73992c4986a0213462439486fa3604a38aa7f8ee944

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=sha256:1bf7e17bbd32abb66ac2425202fc6fafd1b3b9a2c5cb6c0bc149bedd3d4f14ba

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=sha256:53c0abfab76f8f0f17b5b3b0675b1b95cf13fd45ed1696fa2d0ee9ad11d3decc

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=sha256:6777653d4dead9e17dd186989732a78d828c264c7d5fdc2b8599fbc27a16dfda

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:baa5400814d699029675bc928bf04ff1f590de205ced90137a170c06a8e0653e

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=sha256:7908d4cdccf7c9f90c983e37cdc30cc34a5d6a16dcfad5c07ff4bf7bc7959074

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=sha256:1499437272424c93e7674c85bc152be7408f445317dbc85f6c35fea7746b3f18

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:b5b7dbd6b51968ec32a03065ec0a82f112d1dc8c79bb482f950961edde5dfde9

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=sha256:3cb0b28f7d22cde9c40d1dc5ff80ffdc456199d96cf816fdc44d1d0f3d7ef63d

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=sha256:21269957afd449a720cf202c034463f92961ac1c8e8c84d8f3a3ac575ead999e

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=sha256:306985bc1d9cd37870cdc05500e190cdac806cf4477894bd4fcc2ef6b79e2839

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:ef7542b414f5f1513eb403d1f753a58cc14daf2618ec1ca121662a7353432052

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=sha256:11a9a5f8030ebd003eda2ae50de07ed9939fb13936d260fa68127c2713ef4bd6

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=sha256:4aec8cbb464da53c87a27c695bbda2a974b95edec44ca9f90a3a1807d66e3f92

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:b300dd913c0e4579d646d30c70772c431938150cefd3ead5a423d80e7de62a27

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=sha256:43cc5029580afa35defbb6870d1f9d7c103ea05576d3324459f0bebec2009ecd

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=sha256:79d34ef3582f576a52bd5756110bb636850f36e5d71906e58b1144077067d819

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:bd179d531926b87150c4bf83749bd713f190cef0f39f5e15bccbaea4bf983f25

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=sha256:9ae8837abd757eb4e37dbb2c8586b8473460f20523faeeeb480adce8022e4844

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=sha256:5908916710e699474196dc2b42ca22795bb36f86aba00c33c5b7d9faa6f38e65

Pith citing papers

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