Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.10966.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:33:49.299376Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T10:59:45.987969Z
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 00d7cc87-75b3-4134-b301-f3c5c2175161 · inbound
CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation cites this paper.
CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:33:49.299376Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d328a0d-5d3d-489c-a076-452d3e966ea4 · inbound
The Anatomy of the CTC Oracle Gap: Acoustic Exhaustion and Linguistic Recovery cites this paper.
The Anatomy of the CTC Oracle Gap: Acoustic Exhaustion and Linguistic Recovery MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T10:59:45.989579Z
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.