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Paper Citation Record · LEDGER

R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2502.19735.

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

pith.paper-citation-record.v1
2502.19735 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:30.617779Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:57:09.928206Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 421491c1-8e4b-43e1-9689-995e0b240b53 · inbound

How Well Do Large Reasoning Models Translate? A Comprehensive Evaluation for Multi-Domain Machine Translation cites this paper.

How Well Do Large Reasoning Models Translate? A Comprehensive Evaluation for Multi-Domain Machine Translation R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:30.617779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:30.617779Z digest=sha256:e3d33b616c946ad4f670376fe4eb8c16de1c4b8ec2fe524add2274c922d9c62e

Observation d9c3ba6d-e782-4665-a9d2-7572c33ed1a8 · inbound

TAT-R1: Terminology-Aware Translation with Reinforcement Learning and Word Alignment cites this paper.

TAT-R1: Terminology-Aware Translation with Reinforcement Learning and Word Alignment R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:09.650129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:09.650129Z digest=sha256:e75725a2fe24298b3eb529aff6a6da80b69c9061a9d323cd4fb940e25eeaf4e9

Observation 3523feee-8ce4-4f6e-85b7-074511019571 · inbound

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation cites this paper.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:58.579714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:31:58.579714Z digest=sha256:6eb5f8c064f3e3cda210ed636cf99ef126d485aedb01a972d0f77b622d19b9a0

Observation 064c0ad1-5012-4c8a-82a1-b8b810a87020 · inbound

TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration cites this paper.

TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:24.812054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:24.812054Z digest=sha256:b8fe789b7d28ea34be7ad0168402c7a7778f61d68f884b56cf221aeac57543c6

Observation 3d5749f0-f1dd-4569-8f42-5e7d69314c90 · inbound

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following cites this paper.

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T04:43:18.045288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:43:18.045288Z digest=sha256:75228bf502a617ac427db321ac64a4143a77e4d502f483c2288fcfe8980d6ffe

Observation 4b56b201-425b-466c-ba16-e064882215b5 · inbound

Seed LiveInterpret 2.0: End-to-end Simultaneous Speech-to-speech Translation with Your Voice cites this paper.

Seed LiveInterpret 2.0: End-to-end Simultaneous Speech-to-speech Translation with Your Voice R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T14:52:42.999830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:52:42.999830Z digest=sha256:c0c2b7077388867ad6ffd6d5228e2507a73651fcedc0800e4f4ea2a23465cb85

Observation e1dd9edf-305f-43a9-86a2-652e86b4b95b · inbound

Chart Specification: Structural Representations for Incentivizing VLM Reasoning in Chart-to-Code Generation cites this paper.

Chart Specification: Structural Representations for Incentivizing VLM Reasoning in Chart-to-Code Generation R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T06:07:01.203399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:07:01.203399Z digest=sha256:302d667595f1ccf339fbbe3452cd364f3192a3dd7b4fdb92f31dfe3d9e3fa80f

Observation 90f1b2c4-5904-48ea-9ca9-ef419040c25c · inbound

ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation cites this paper.

ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-10T02:48:27.405007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T02:45:59.473429Z digest=sha256:ea3ed85b04a04c7fead38b65d6c736584c2622808ecc1bee92352a8eba73b16a

Observation 118ea70e-9440-4a85-a7f4-f10dfb815d9a · inbound

Reinforcement Learning Elicits Contextual Learning of Unseen Language Translation cites this paper.

Reinforcement Learning Elicits Contextual Learning of Unseen Language Translation R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:26:58.991118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T01:19:45.480622Z digest=sha256:264ea9a3c8ddf554fbf3664d74a52b4feba5c9ed5e94182639659752ec7b2864

Observation b7c02eb3-3cd7-41b7-9bd0-375cb42bc80e · inbound

MADE: Beyond Scoring via a Multilingual Agentic Diagnosing Engine for Fine-Grained Evaluation Insights cites this paper.

MADE: Beyond Scoring via a Multilingual Agentic Diagnosing Engine for Fine-Grained Evaluation Insights R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:57:09.930363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T22:16:42.836058Z digest=sha256:ebeb01a7fb100719b740d167932f26c8fcf21d0838bb85354f43970401bd5c62

Observation f2d5a72a-8c4e-4053-8116-5e484801f4da · inbound

Reasoning Before Translation: Enhancing Legal Machine Translation with Structured Reasoning cites this paper.

Reasoning Before Translation: Enhancing Legal Machine Translation with Structured Reasoning R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T13:15:35.618091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:15:35.618091Z digest=sha256:7d95435be2edf45adb5275601952f76e4c3c37502e0e0d630cc44273b71a4ede

Observation 7f677c5e-e490-47d3-bbb3-3afa050f27b7 · inbound

The Price of Reasoning: Cost-Quality Tradeoffs in Reinforcement Learning for Neural Machine Translation cites this paper.

The Price of Reasoning: Cost-Quality Tradeoffs in Reinforcement Learning for Neural Machine Translation R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T13:07:39.778908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:07:39.778908Z digest=sha256:e4ea569ce0c519dcb41d134b839918a953c2d3ccbdf608bc9f2f43a2febfb4d1