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Paper Citation Record · LEDGER

MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.10966.

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

pith.paper-citation-record.v1
2309.10966 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:27:35.407687Z

measured 0 of 1 external citation measurements

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 aaae29ea-7ee6-4631-a55a-d479fb3798a9 · inbound

A Bayesian Optimization Approach to Machine Translation Reranking cites this paper.

A Bayesian Optimization Approach to Machine Translation Reranking MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T20:27:35.407687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:27:35.407687Z digest=sha256:181feff167725e96184753ffc264daaab77d0f9513ed49a088b88cf92414fdf4

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.

source=arxiv_source observed=2026-08-10T15:33:49.299376Z digest=sha256:d234b21b88a2747b91b0499652cebd5312076a9d2ad6688973d98a2170ff195b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T08:18:38.969299Z digest=sha256:c042cec56df2e9adbdcfec52e249a18bde05670675b6449747d8a3375447aa5f