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Paper Citation Record · LEDGER

Rethinking Document-level Neural Machine Translation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.08961.

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

pith.paper-citation-record.v1
2010.08961 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T14:10:29.387828Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T14:12:23.359029Z

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 65b0e8c3-7e4b-49a1-9058-ea1d8c1e1601 · inbound

Beyond Chunking: Discourse-Aware Hierarchical Retrieval for Long Document Question Answering cites this paper.

Beyond Chunking: Discourse-Aware Hierarchical Retrieval for Long Document Question Answering Rethinking Document-level Neural Machine Translation

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-19T14:12:23.373089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T14:10:29.387828Z digest=sha256:c7d52a150c248e03e67495164b45587eb99d2b61b72f01eada73086c26eea277

Observation 1c2ee793-0d34-469c-aa06-42b7988cf1bd · inbound

An Explainable Approach to Document-level Translation Evaluation with Topic Modeling cites this paper.

An Explainable Approach to Document-level Translation Evaluation with Topic Modeling Rethinking Document-level Neural Machine Translation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:11:06.147262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T23:11:59.716468Z digest=sha256:6cdbd78ec9cee07d2dadfa6e8cc823b53e9541a4bb64fdf8ee0a1734e389158f