Paper Citation Record · LEDGER

Fine-tuning Large Language Models for Domain-specific Machine Translation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2402.15061.

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

pith.paper-citation-record.v1
2402.15061 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:05:39.849071Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 06d306f8-66d3-473b-8938-90a8af50e61b · inbound

LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models cites this paper.

LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T16:27:34.553245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31959962-6a31-4071-8b1a-b6c1bf7f08ae · inbound

All-in-One Tuning and Structural Pruning for Domain-Specific LLMs cites this paper.

All-in-One Tuning and Structural Pruning for Domain-Specific LLMs Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T12:17:56.869044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a9f0b16-a98a-4850-b170-52546867dd5c · inbound

Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT cites this paper.

Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:59:49.945383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43e1c9d8-a0fa-4e48-878b-a258b5620dc3 · inbound

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering cites this paper.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.306086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30a89422-8986-47b4-bac0-2b8bfd15ed95 · 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 Domain-specific Machine Translation

Reference 131

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:42:11.350313Z

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.

Observation b6e74284-173f-4883-8145-46ca4ae8fe64 · inbound

ReCellTy: Domain-Specific Knowledge Graph Retrieval-Augmented LLMs Reasoning Workflow for Single-Cell Annotation cites this paper.

ReCellTy: Domain-Specific Knowledge Graph Retrieval-Augmented LLMs Reasoning Workflow for Single-Cell Annotation Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:05:03.586447Z

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.

Observation f547cc0e-a83a-4ede-a04f-cd490db3b118 · inbound

Privacy-Preserving Transformers: SwiftKey's Differential Privacy Implementation cites this paper.

Privacy-Preserving Transformers: SwiftKey's Differential Privacy Implementation Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:39.849071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41f78e6f-b1a0-480d-a617-59a256885388 · inbound

Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare cites this paper.

Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T22:08:54.623101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef1fe3f2-ccfd-418b-98fe-58869c9976c9 · inbound

FuxiMT: Sparsifying Large Language Models for Chinese-Centric Multilingual Machine Translation cites this paper.

FuxiMT: Sparsifying Large Language Models for Chinese-Centric Multilingual Machine Translation Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:41:17.408580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee4c5860-43ae-4db7-8a57-98120c1860e9 · inbound

Robot Operation of Home Appliances by Reading User Manuals cites this paper.

Robot Operation of Home Appliances by Reading User Manuals Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:21.018433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffe1e844-5795-43f0-96d9-d891e9d784c6 · inbound

TAT-R1: Terminology-Aware Translation with Reinforcement Learning and Word Alignment cites this paper.

TAT-R1: Terminology-Aware Translation with Reinforcement Learning and Word Alignment Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:43:12.115832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17023f33-19f5-40b5-b1c8-7013b4189e5b · inbound

Collaborative Editable Model cites this paper.

Collaborative Editable Model Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:12.969305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 431966e1-2254-43f7-9be6-0be579e36df2 · inbound

Aligning Knowledge Graphs and Language Models for Factual Accuracy cites this paper.

Aligning Knowledge Graphs and Language Models for Factual Accuracy Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T16:43:04.037168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 770dbdeb-0446-48de-826a-704986f28dd6 · inbound

Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths cites this paper.

Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:22:33.357525Z

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.

Observation aef6a26a-48ff-4aea-96fc-b58646c04198 · inbound

Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents cites this paper.

Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:15:10.247220Z

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.

Observation e8818c16-db22-4456-a59d-e2c1ea9a3a79 · inbound

Training-Free Token-Level Steering for LLM Personalized Co-Writing cites this paper.

Training-Free Token-Level Steering for LLM Personalized Co-Writing Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:22.786610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.