Pith. sign in

Paper Citation Record · LEDGER

Semantics-aware Attention Improves Neural Machine Translation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2110.06920.

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

pith.paper-citation-record.v1
2110.06920 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T12:32:57.047624Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T12:34:28.499599Z

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 388ec820-b834-4d02-8d93-f2955e58f614 · inbound

Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling cites this paper.

Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling Semantics-aware Attention Improves Neural Machine Translation

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-24T12:34:28.502264Z

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=arxiv_source observed=2026-05-24T12:32:57.047624Z digest=sha256:4cf48d57f0dc11bc36690a63fe5f32b1ab422063aec0eec49287843abff6b078