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Paper Citation Record · LEDGER

Fine-tuning Large Language Models for Adaptive Machine Translation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.12740.

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

pith.paper-citation-record.v1
2312.12740 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:19:51.248895Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:42:11.249004Z

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 db5f4355-c364-4f94-8b34-00d55f1f97aa · inbound

Domain-Specific Translation with Open-Source Large Language Models: Resource-Oriented Analysis cites this paper.

Domain-Specific Translation with Open-Source Large Language Models: Resource-Oriented Analysis Fine-tuning Large Language Models for Adaptive Machine Translation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T20:19:51.248895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:19:51.248895Z digest=sha256:0e4376ca6d3192307cdd04aaa1080f39bc2b82a33236f8f975606063020942c4

Observation 8d75fcd3-10c2-44ac-be06-64bbf2110096 · inbound

Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation cites this paper.

Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation Fine-tuning Large Language Models for Adaptive Machine Translation

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:42:11.252017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T21:38:29.497183Z digest=sha256:5814de407d557f98e8b953a8de7ffc0db848ba28a2d258ab4b7a567ccad6ec72

Observation 48179c9f-fceb-49c1-93e9-25181f18052d · inbound

Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations cites this paper.

Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations Fine-tuning Large Language Models for Adaptive Machine Translation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T12:04:14.799500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:04:14.799500Z digest=sha256:79637ca0f88697c0f7d16179c802bfba81242bb3c2da8359d63162b504f86b80

Observation a3906756-8c76-4c45-91c9-c18a1840d665 · inbound

Gradient-Based Model Fingerprinting for LLM Similarity Detection and Family Classification cites this paper.

Gradient-Based Model Fingerprinting for LLM Similarity Detection and Family Classification Fine-tuning Large Language Models for Adaptive Machine Translation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:45:38.291461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:45:38.291461Z digest=sha256:e8588474fd871209180faaffbe88bc27ac28907bdcdd5b1bfb4207b3c944bb1a

Observation afd87a8b-a3de-4d8b-85eb-7a0d5a717a3a · inbound

Large Language Models in the Travel Domain: An Industrial Experience cites this paper.

Large Language Models in the Travel Domain: An Industrial Experience Fine-tuning Large Language Models for Adaptive Machine Translation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T16:18:56.005060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:18:56.005060Z digest=sha256:b57b5f0c45d125edbcacfbd7c944f40e3e810876b40d4dc2a22d723937c39bc2