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Paper Citation Record · LEDGER

On-the-Fly Fusion of Large Language Models and Machine Translation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.08306.

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

pith.paper-citation-record.v1
2311.08306 v2

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 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:33:23.031405Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:15:32.165244Z

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 1fda9995-a6c2-4e52-b578-ae538eef6c07 · inbound

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction cites this paper.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction On-the-Fly Fusion of Large Language Models and Machine Translation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T14:33:23.031405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:33:23.031405Z digest=sha256:94fd83255c9b9c27069cb14f2ec4ff1d81838df1e04f8ce5a6b911cb5b223d92

Observation 5df85394-a4fd-4e3c-8d38-6e717c98c3ea · inbound

Rethinking LLM Ensembling from the Perspective of Mixture Models cites this paper.

Rethinking LLM Ensembling from the Perspective of Mixture Models On-the-Fly Fusion of Large Language Models and Machine Translation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:26:06.426935Z

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.

source=pdf_text observed=2026-05-09T20:06:12.248439Z digest=sha256:5e8f7a2a47ce99d858255b84ad2f9819d6d62a60d8f456b94d6219e42682531b

Observation d96bcf48-79d0-4b22-a770-811d16eb9055 · inbound

Rethinking LLM Ensembling from the Perspective of Mixture Models cites this paper.

Rethinking LLM Ensembling from the Perspective of Mixture Models On-the-Fly Fusion of Large Language Models and Machine Translation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:15:32.168077Z

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.

source=pdf_text observed=2026-07-01T08:07:09.032028Z digest=sha256:1947f9037d5cceb739ccf04f24e5063066d098eedf1e1411580e1ebf1f8385a0