Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:19:22.800034Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.01627.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:19:22.800034Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
33 of 33 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b3d93187-be33-424b-ae74-1e9eff789f2b · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Baxter,Product Design, CRC Press, 2018
Reference 1
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A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Digital twin driven smart product design framework,
Reference 2
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Observation 33483ec9-e51d-4c66-9e83-aafaacbd0903 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components An approach to identify the factors that affect a product’s life time energy consumption during the concept design stage,
Reference 3
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A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Digital twin driven conceptual design,
Reference 4
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A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Current research in the con- ceptual design of mechanical products,
Reference 5
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A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Function-behavior-structure model of de- sign: An alternative approach,
Reference 6
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A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Classi- fyingcomponentfunctioninproductassemblieswithgraph neural networks,
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A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components A functional basis for engineering design: reconciling and evolving previous efforts,
Reference 8
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Observation c178f67b-6a4f-4b9d-b255-1af4712ebf02 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components A review on large language models: Architectures, ap- plications, taxonomies, open issues and challenges,
Reference 9
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Observation 5d7fc140-227c-4be7-81da-f5eeb090c599 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components ChatGPT: A comprehensive review on back- ground, applications, key challenges, bias, ethics, limi- tations and future scope,
Reference 10
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Observation aa04519e-da7a-4462-a4af-2deac9471502 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
Reference 11
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Observation 524e1668-ddcb-47d1-85df-ef97d1487c57 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Classifyingfunctionsfor mechanical design,
Reference 12
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Observation bbe76124-7094-4d82-83b1-3b23582a9165 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Automatic annotation of functional semantics for 3D product model based on latent functional semantics,
Reference 13
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Observation e46a30ab-ec02-43ed-a6c8-8d296615bfe5 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components A Comprehensive Overview of Large Language Models
Reference 14
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A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Transform- ers: ‘Theendofhistory’fornaturallanguageprocessing?,
Reference 15
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A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components A survey on large language models: Applications, challenges, lim- itations, and practical usage,
Reference 16
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Observation d275c569-5e4a-4371-b740-c4a2dd561ab9 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset
Reference 17
Source-reported events for the cited work
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Observation a1866a4a-f6b3-47cb-bebb-de9fb10d23b4 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine
Reference 18
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A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Unresolved cited work
Reference 19
Source-reported events for the cited work
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Observation e4526cb0-f907-4f74-813a-df76afd1a661 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components LLM4CAD: Multi-modal large languagemodelsfor3Dcomputer-aideddesigngeneration,
Reference 20
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A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Elicitron: A large language model agent-based simulation framework for design requirements elicitation,
Reference 21
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Observation 53cabbe7-ece7-4852-946b-a7a3e587f044 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Monitoring blockchain cryp- tocurrency transactions to improve the trustworthiness of the fourth industrial revolution (Industry 4.0),
Reference 22
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A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Developing a method for modeling and monitoring of dynamic networks using latent variables,
Reference 23
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A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components A latentspacemodelandHotelling’sT 2controlcharttomoni- torthenetworksofCovid-19symptoms,
Reference 24
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Observation e22980d6-e78c-4c7b-9d20-7d545f67b83d · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components TheSCANmethod to monitor cryptocurrency transactions,
Reference 25
Source-reported events for the cited work
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Observation d65c43d4-7642-4078-ad2e-b7d5110ef09b · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities
Reference 26
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Observation 180fc795-3304-4d34-9857-4cc77e9a6586 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Supervised domain adaptation by transferring both the parameter set and its gradient,
Reference 27
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Observation b20ff88a-2d83-4065-8d81-fe9352c01452 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Development of a functional basisfordesign,
Reference 28
Source-reported events for the cited work
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Observation 0576fd1c-d643-471b-bb45-ffea8a492cec · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Attention is all you need,
Reference 29
Source-reported events for the cited work
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Observation be3d46b5-dad3-4d42-bba4-bf5cbd04f885 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Integrating graph retrieval- augmented generation with large language models for sup- plier discovery,
Reference 30
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Observation 80c75079-4d3a-4065-b370-b0744fc0f80d · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Introduction of a data schema to support a design reposi- tory,
Reference 31
Source-reported events for the cited work
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Observation 3127addc-84d6-4224-ad33-5524ec395e2f · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components Product design support: Exploringadesignrepositorysystem,
Reference 32
Source-reported events for the cited work
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Observation bbcc0b62-5349-49d3-8eda-0cca4fba2e59 · outbound
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components ABC: A big CAD model dataset for geometric deep learning,
Reference 33
Source-reported events for the cited work
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No inbound Pith citation observations are available.