Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Quantifying the Plausibility of Context Reliance in Neural Machine Translation
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.01188.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:57:36.535761Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T07:34:21.346254Z
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 3a7b6413-662f-416b-b563-96b6b2eab5eb · inbound
Analyzing the Attention Heads for Pronoun Disambiguation in Context-aware Machine Translation Models cites this paper.
Analyzing the Attention Heads for Pronoun Disambiguation in Context-aware Machine Translation Models Quantifying the Plausibility of Context Reliance in Neural Machine Translation
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:16:11.636206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d96b3aa2-0755-4223-a2c8-8bc8df96de6e · inbound
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation cites this paper.
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation Quantifying the Plausibility of Context Reliance in Neural Machine Translation
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:57:36.535761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04582781-80d3-49be-b35c-cde7cf0e6f81 · inbound
Which Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy cites this paper.
Which Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy Quantifying the Plausibility of Context Reliance in Neural Machine Translation
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T07:34:21.350387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.