Paper Citation Record · LEDGER

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis

As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2606.05176.

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

pith.paper-citation-record.v1
2606.05176 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:26:31.227525Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7f737f1-2bce-49df-92d6-d9bb1eea2808 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:30.019684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ed13b8b-9364-408b-a21f-3305d4a1be81 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:30.198365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8119d7a3-cd2a-457a-83f4-a8c92c893c71 · outbound

This paper cites Decoupled Weight Decay Regularization.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis Decoupled Weight Decay Regularization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:30.333240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db3cf1fc-0ebd-4157-bd2d-fd9198f8526f · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:30.774305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f3055ec-3a28-4824-a32f-06c39b25ad89 · outbound

This paper cites an unresolved cited work.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:30.942396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cca9ab5-043e-42db-86ae-1aec6b23b237 · outbound

This paper cites Qwen2.5 Technical Report.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis Qwen2.5 Technical Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:31.004811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c951888-8ef4-43ba-9d77-5c82250acf75 · outbound

This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:31.114856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 223c4e3b-0f59-4865-a864-465534b92977 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:31.227525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81dd0732-4562-43b4-bf96-7d47ae748e95 · outbound

This paper cites Energy and Policy Considerations for Deep Learning in NLP.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis Energy and Policy Considerations for Deep Learning in NLP

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:30.609244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523a4915-c54a-4d16-b897-531a30ce562c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis LoRA: Low-Rank Adaptation of Large Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:29.846459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f10660f8-fc55-4466-80e3-e2717c17917b · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis Carbon Emissions and Large Neural Network Training

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:30.454646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b3e4574-ea07-43a7-92bc-6da2cca5a1fa · outbound

This paper cites Transformer Feed-Forward Layers Are Key-Value Memories.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis Transformer Feed-Forward Layers Are Key-Value Memories

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:29.736399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b146e927-a204-4a4a-a399-033524f6b908 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis QLoRA: Efficient Finetuning of Quantized LLMs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:29.692514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.