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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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=sha256:791a20b19aaae3921af6da1fa70f449c7a68118116cb1cbb6b1b29c8304c4835

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=sha256:61d81dca564ae49019e589027cf4e41b6e49f33630cc056fc8514a8571cc757f

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=sha256:3340eb17a34f08878a27fe1a03906ea25c668ed3cc4d32d34cada600ed353541

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=sha256:54781150e6e9cdb5a7d0ebcf760bf55854e5cec8bdb6af7495433a5b4bb0857d

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=sha256:26e656315b1943739b90d13855a3ffd4d980f23f873a7754570bc3923f59f51e

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=sha256:5e533a710d61227e51138e4c84bec9ec011ec99d00a0f472be1e6472fe6734f1

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=sha256:092216e4b4c9d45e9ffdbfd59bdbba1070f8ccab2a4ea766b9a378cdb7058b6c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T02:45:59.473429Z digest=sha256:77ea96400bfc31d2bccb7a2edb1cd40835e943ab56314665848d18859d64046c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T01:19:45.480622Z digest=sha256:312f411b5b077bd13c2348806f61d528450113042342a228950d1b5d7cdc2487

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T22:16:42.836058Z digest=sha256:4b849654ab392e84b5699a05824991b394c3e9a6ac910d605a00bcbb9d2a03fa

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=sha256:752ddb07c3f6311fc648af824dc2acb56cf35b9b0fcbf67c43b9686f7e6d7262

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:a66b719e6df74f8a70c91d17f9647831ecf03cd4badd091879dd78911a3105fa