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Paper Citation Record · LEDGER

Data Scaling Laws in NMT: The Effect of Noise and Architecture

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.01994.

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

pith.paper-citation-record.v1
2202.01994 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:44:23.658578Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T12:12:31.265829Z

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 77312afd-63d9-4dcc-ba8a-5109e6ef25c3 · inbound

Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems cites this paper.

Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems Data Scaling Laws in NMT: The Effect of Noise and Architecture

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T12:44:23.658578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:44:23.658578Z digest=sha256:72899445ff108af11473df78f595804b528a691ae018fdcc4ff4e89bee7ca904

Observation 60855b82-c3d3-4208-88e1-d93eb4f82445 · inbound

Scaling Pre-training to One Hundred Billion Data for Vision Language Models cites this paper.

Scaling Pre-training to One Hundred Billion Data for Vision Language Models Data Scaling Laws in NMT: The Effect of Noise and Architecture

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-08T12:12:31.270260Z

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.

source=pdf_text observed=2026-08-08T12:12:30.640712Z digest=sha256:47442b90eb3fd7887b18eb8f2bccf28798ff0758928cbd9de0ad15e868afe303