Paper Citation Record · LEDGER

Multilingual Denoising Pre-training for Neural Machine Translation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2001.08210.

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

pith.paper-citation-record.v1
2001.08210 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:14:42.935703Z

measured 0 of 1 external citation measurements

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.