Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
New Trends for Modern Machine Translation with Large Reasoning Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.10351.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:55.173696Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T03:06:29.736029Z
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 182fbcf7-8edd-428e-a1f6-a6c686a4f0d6 · inbound
TULUN: Transparent and Adaptable Low-resource Machine Translation cites this paper.
TULUN: Transparent and Adaptable Low-resource Machine Translation New Trends for Modern Machine Translation with Large Reasoning Models
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:31:55.173696Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40f4fdee-0c10-41dc-935d-c83c02e736f1 · 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 New Trends for Modern Machine Translation with Large Reasoning Models
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:06:30.666322Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 526ef77f-72ca-4ced-89b3-060661544c10 · 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 New Trends for Modern Machine Translation with Large Reasoning Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:43:10.232884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5074555d-9f25-4155-a67f-8b067976a12d · inbound
TransEvalnia: Reasoning-based Evaluation and Ranking of Translations cites this paper.
TransEvalnia: Reasoning-based Evaluation and Ranking of Translations New Trends for Modern Machine Translation with Large Reasoning Models
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:47:04.367359Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cee82451-7b5b-4419-affc-c0441d04d60d · inbound
ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation cites this paper.
ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation New Trends for Modern Machine Translation with Large Reasoning Models
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T02:48:27.400166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1eb53053-665b-455c-a6ba-204b4944512f · inbound
Beyond "To whom it may concern": Tailoring Machine Translation to Audience and Intent cites this paper.
Beyond "To whom it may concern": Tailoring Machine Translation to Audience and Intent New Trends for Modern Machine Translation with Large Reasoning Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T03:06:29.738651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9d819cce-bb7c-4515-8f2f-288fc2d2c7bf · inbound
LatentMT: Machine Translation with Latent Reasoning cites this paper.
LatentMT: Machine Translation with Latent Reasoning New Trends for Modern Machine Translation with Large Reasoning Models
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:53:43.750878Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9466be78-4f07-4f82-af5d-21f654500c52 · inbound
Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation cites this paper.
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
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-03T10:03:44.664106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.