Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multilingual Denoising Pre-training for Neural Machine Translation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2001.08210.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T20:42:39.215657Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T08:55:34.923748Z
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 ed499e18-2906-4a6d-bdc0-1932546041ab · inbound
Language Models are Few-Shot Learners cites this paper.
Language Models are Few-Shot Learners Multilingual Denoising Pre-training for Neural Machine Translation
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T12:05:38.278747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5f39d530-a7ca-4a9b-9299-f9637e9ad3d1 · inbound
Prefix-Tuning: Optimizing Continuous Prompts for Generation cites this paper.
Prefix-Tuning: Optimizing Continuous Prompts for Generation Multilingual Denoising Pre-training for Neural Machine Translation
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:57:25.239894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4f4d55cd-5d48-4141-9e5c-22d0d8d96ce4 · inbound
MinerU: An Open-Source Solution for Precise Document Content Extraction cites this paper.
MinerU: An Open-Source Solution for Precise Document Content Extraction Multilingual Denoising Pre-training for Neural Machine Translation
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T04:00:25.834013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5bb5fe84-ba0b-4395-b549-a642254f0662 · inbound
An Efficient Approach for Machine Translation on Low-resource Languages: A Case Study in Vietnamese-Chinese cites this paper.
An Efficient Approach for Machine Translation on Low-resource Languages: A Case Study in Vietnamese-Chinese Multilingual Denoising Pre-training for Neural Machine Translation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T20:42:39.215657Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd9d0fce-877b-427f-aacb-91794dad24c8 · inbound
Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages cites this paper.
Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Multilingual Denoising Pre-training for Neural Machine Translation
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:14:42.935703Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a396c1d4-713e-4dbc-8430-65941d136aeb · inbound
Two Spelling Normalization Approaches Based on Large Language Models cites this paper.
Two Spelling Normalization Approaches Based on Large Language Models Multilingual Denoising Pre-training for Neural Machine Translation
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:50:00.482490Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23a6bdb8-baea-4746-a882-098f36f1d46f · inbound
Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices cites this paper.
Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices Multilingual Denoising Pre-training for Neural Machine Translation
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T08:55:34.925348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.