Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Prevent the Language Model from being Overconfident in Neural Machine Translation
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2105.11098.
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 2026-08-12T19:34:41.814602Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T22:30:44.882263Z
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 d43e9670-7748-49e1-bd15-4263adb43533 · inbound
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment cites this paper.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Prevent the Language Model from being Overconfident in Neural Machine Translation
Reference 94
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.884667Z
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.
Observation 12ebd4a6-759c-464d-a62c-c2fde5d7db11 · inbound
Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models cites this paper.
Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models Prevent the Language Model from being Overconfident in Neural Machine Translation
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:34:41.814602Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdb7f481-d12a-448d-b20c-f827818856b7 · inbound
Uncertainty Quantification for LLM-based Code Generation cites this paper.
Uncertainty Quantification for LLM-based Code Generation Prevent the Language Model from being Overconfident in Neural Machine Translation
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T04:02:13.087938Z
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.