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Paper Citation Record · LEDGER

Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.10283.

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

pith.paper-citation-record.v1
2005.10283 v2

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:55:24.644070Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:40:58.884612Z

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 0027d349-fa91-47d0-ab93-aa3c30026c6f · inbound

Leveraging Sentence Similarity in Natural Language Generation: Improving Beam Search using Range Voting cites this paper.

Leveraging Sentence Similarity in Natural Language Generation: Improving Beam Search using Range Voting Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T12:55:24.644070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:55:24.644070Z digest=sha256:d73e6cc4a0cda402bb55a3b81b9b63c86611c5c1f6df064a94632ced318fc8c9

Observation 4f6fdc3d-72ee-471d-be0e-157d87299cd9 · inbound

Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR) cites this paper.

Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR) Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:40:58.886264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T16:34:11.393056Z digest=sha256:caf6d7dd639ab09bdb007ef29e99f1efbfea1643fd75396fc91cefec8e831153