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Paper Citation Record · LEDGER

Minimum Risk Training for Neural Machine Translation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1512.02433.

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

pith.paper-citation-record.v1
1512.02433 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:50:29.070483Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T10:21:19.106365Z

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 66ad89b0-7426-4908-9bc9-5df67b17cf70 · inbound

Neural Text Generation with Unlikelihood Training cites this paper.

Neural Text Generation with Unlikelihood Training Minimum Risk Training for Neural Machine Translation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T13:50:29.070483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:50:29.070483Z digest=sha256:d960db5d106a22a36ecd184bced362f3a01d3f2e32d4036446168aaafaf1b7f0

Observation a32eb8f8-4d4a-458e-946e-71afb369be9e · inbound

An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation cites this paper.

An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation Minimum Risk Training for Neural Machine Translation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-14T10:35:53.262609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:35:53.262609Z digest=sha256:ad9b0b0d33b44748e1cd974987d2678742156a82591866f3f0c8559a821d44a7

Observation 75de2263-43c7-4146-8d5e-ff3f2d23a132 · inbound

Translating Math Formula Images to LaTeX Sequences Using Deep Neural Networks with Sequence-level Training cites this paper.

Translating Math Formula Images to LaTeX Sequences Using Deep Neural Networks with Sequence-level Training Minimum Risk Training for Neural Machine Translation

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:21:19.111844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T10:21:19.011525Z digest=sha256:06a1a252be378ece32fe004dd11bae96ecff7690eb2aeca1e3a3b7a3a3fb270a