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Paper Citation Record · LEDGER

Very Deep Transformers for Neural Machine Translation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2008.07772.

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

pith.paper-citation-record.v1
2008.07772 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:01:46.309018Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T18:00:50.216758Z

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 7104600b-ecd1-47a6-b49e-23e38e36686c · inbound

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Very Deep Transformers for Neural Machine Translation

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-17T18:00:50.219314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-17T18:00:50.053377Z digest=sha256:3a317211eedfe9740ff6e5b7ec65599010eaf6247cdd2cf7aa13d37a8e9d7aa2

Observation 6328fcdd-c8a6-4999-ae95-e56846b34da7 · inbound

Glinthawk: A Two-Tiered Architecture for Offline LLM Inference cites this paper.

Glinthawk: A Two-Tiered Architecture for Offline LLM Inference Very Deep Transformers for Neural Machine Translation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T18:01:46.309018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:01:46.309018Z digest=sha256:ba7c26871b2d9fee799e7ee8b8c69c175a34c1e1b897c7b1a7b305b9953f6228