The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation | Paper Citation Record

Observation 3945f7e6-0f4e-40f9-95ea-2c5ec2e7c8b7 · outbound

This paper cites Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:21:07.979770Z

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.

Observation 7bfc95a1-a4f9-4ff0-b437-dfd5edb706aa · outbound

This paper cites DeePLT: personalized lighting facilitates by trajectory prediction of recognized residents in the smart home,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation DeePLT: personalized lighting facilitates by trajectory prediction of recognized residents in the smart home,

Reference 2

Resolution: verified exact; doi, observed 2026-08-10T14:21:07.970194Z

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.

Observation 986cd8cc-152a-467a-8285-a35ab6bdc341 · outbound

This paper cites FPL: False Positive Loss,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation FPL: False Positive Loss,

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-10T14:21:08.345611Z

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.

Observation e99e0268-19ad-4594-b591-177a75783363 · outbound

This paper cites Active Identity Function as Activation Function,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Active Identity Function as Activation Function,

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-10T14:21:08.289538Z

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.

Observation e50f2ad8-5f4a-477a-a59c-994de865fea5 · outbound

This paper cites Autonomous Navigation of Wheeled Robot using a Deep Reinforcement Learning Based Approach,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Autonomous Navigation of Wheeled Robot using a Deep Reinforcement Learning Based Approach,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.598809Z

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.

Observation 99963429-d9a7-47e1-b751-f114ce6c4036 · outbound

This paper cites Fusion of medical images using Nabla operator; Objective evaluations and step-by-step statistical comparisons,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Fusion of medical images using Nabla operator; Objective evaluations and step-by-step statistical comparisons,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.590724Z

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.

Observation b9e1e892-7083-4561-a970-e89f3e1bc108 · outbound

This paper cites Diagnosing Alzheimer’s Disease Levels Using Machine Learning and MRI: A Novel Approach,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Diagnosing Alzheimer’s Disease Levels Using Machine Learning and MRI: A Novel Approach,

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-10T14:21:08.218603Z

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.

Observation 462ffb3d-4628-4915-a28e-385e047e117e · outbound

This paper cites The global prevalence of sexual dysfunction in women with multiple sclerosis: a systematic review and meta-analysis,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation The global prevalence of sexual dysfunction in women with multiple sclerosis: a systematic review and meta-analysis,

Reference 8

Resolution: malformed identifier; doi_truncated, observed 2026-08-10T14:21:07.962184Z

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.

Observation bf1e38f1-cf32-4d1e-ab02-c84a5ce263cd · outbound

This paper cites The effects of smoking on female sexual dysfunction: a systematic review and meta-analysis,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation The effects of smoking on female sexual dysfunction: a systematic review and meta-analysis,

Reference 9

Resolution: verified exact; doi, observed 2026-08-10T14:21:07.954293Z

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.

Observation 77ddfb60-9491-485c-8554-b9aa9f753f1d · outbound

This paper cites A full pipeline of diagnosis and prognosis the risk of chronic diseases using deep learning and Shapley values: The Ravansar county anthropometric cohort study,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation A full pipeline of diagnosis and prognosis the risk of chronic diseases using deep learning and Shapley values: The Ravansar county anthropometric cohort study,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.583453Z

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.

Observation de0d6b3a-0171-4f37-bdd6-2bd7471d02c8 · outbound

This paper cites Global prevalence of osteoporosis among the world older adults: a comprehensive systematic review and analysis-meta.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Global prevalence of osteoporosis among the world older adults: a comprehensive systematic review and analysis-meta

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.575595Z

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.

Observation b0879aa4-bc7c-406f-acd0-4d7e26918852 · outbound

This paper cites Executive protocol designed for new review study called: Systematic Review and Artificial Intelligence Network Meta-Analysis (RAIN) with the first application for COVID -19,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Executive protocol designed for new review study called: Systematic Review and Artificial Intelligence Network Meta-Analysis (RAIN) with the first application for COVID -19,

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-10T14:21:08.140949Z

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.

Observation be86734d-1388-4e3c-ba60-051103625a5c · outbound

This paper cites Identification of suitable drug combinations for treating COVID-19 using a novel machine learning approach: The RAIN method,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Identification of suitable drug combinations for treating COVID-19 using a novel machine learning approach: The RAIN method,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.567558Z

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.

Observation 354f9bab-78bc-49fa-99a1-7314ee6ade6e · outbound

This paper cites Emerging Drug Combinations for Targeting Tongue Neoplasms Associated Proteins/Genes: Employing Graph Neural Networks within the RAIN Protocol,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Emerging Drug Combinations for Targeting Tongue Neoplasms Associated Proteins/Genes: Employing Graph Neural Networks within the RAIN Protocol,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.560886Z

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.

Observation 224690b5-0847-4a40-904e-1ce99b21b9cd · outbound

This paper cites AI-Enhanced RAIN Protocol: A Systematic Approach to Optimize Drug Combinations for Rectal Neoplasm Treatment,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation AI-Enhanced RAIN Protocol: A Systematic Approach to Optimize Drug Combinations for Rectal Neoplasm Treatment,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.552060Z

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.

Observation 3badc0e8-3be4-4b0b-8966-fb9ad563c97a · outbound

This paper cites A graphSAGE discovers synergistic combinations of Gefitinib, paclitaxel, and Icotinib for Lung adenocarcinoma management by targeting human genes and proteins: the RAIN protocol,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation A graphSAGE discovers synergistic combinations of Gefitinib, paclitaxel, and Icotinib for Lung adenocarcinoma management by targeting human genes and proteins: the RAIN protocol,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.543847Z

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.

Observation ee81f041-7af4-481d-8fc1-fbe23ac77955 · outbound

This paper cites Graph Attention Networks for Drug Combination Discovery: Targeting Pancreatic Cancer Genes with RAIN Protocol,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Graph Attention Networks for Drug Combination Discovery: Targeting Pancreatic Cancer Genes with RAIN Protocol,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.534816Z

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.

Observation 05d02f7c-2bbc-49a6-9bd3-85f4f3a51dda · outbound

This paper cites an unresolved cited work.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:21:08.526881Z

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.

Observation f329b8a4-d1e9-4404-9dcb-8400d6f1de7e · outbound

This paper cites Boush, A.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Boush, A

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.516465Z

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.

Observation 47572d0a-0734-431a-8b21-d4cc0d7fff52 · outbound

This paper cites Recommending Drug Combinations using Reinforcement Learning to target Genes/proteins that cause Stroke: A comprehensive Systematic Review and Network Meta-analysis,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Recommending Drug Combinations using Reinforcement Learning to target Genes/proteins that cause Stroke: A comprehensive Systematic Review and Network Meta-analysis,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.508933Z

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.

Observation 4d6f4140-a4f6-46da-82cd-7ef958e8b519 · outbound

This paper cites Recommending Drug Combinations using Reinforcement Learning to target Genes/proteins that cause Stroke: A comprehensive Systematic Review and Network Meta -analysis,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Recommending Drug Combinations using Reinforcement Learning to target Genes/proteins that cause Stroke: A comprehensive Systematic Review and Network Meta -analysis,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.501673Z

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.

Observation 246949e8-7e57-4e81-a92b-ecd06eabb6f9 · outbound

This paper cites an unresolved cited work.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:21:08.494037Z

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.

Observation 2eea58fc-c854-4964-aca3-bcce9dfcf7e1 · outbound

This paper cites Trending Drugs Combination to Target Leukemia associated Proteins/Genes: using Graph Neural Networks under the RAIN Protocol,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Trending Drugs Combination to Target Leukemia associated Proteins/Genes: using Graph Neural Networks under the RAIN Protocol,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.485430Z

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.

Observation 67c1324d-de78-4e4b-a252-58793995e296 · outbound

This paper cites Executive protocol designed for new review study called: systematic review and artificial intelligence network meta-analysis (RAIN) with the first application for COVID -19,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Executive protocol designed for new review study called: systematic review and artificial intelligence network meta-analysis (RAIN) with the first application for COVID -19,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.477194Z

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.

Observation aecb0cfc-43b7-408a-9277-033218fe6c60 · outbound

This paper cites Attention is all you need,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Attention is all you need,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T14:21:07.889286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f854340-0047-4032-9ea0-32a8c923fde9 · outbound

This paper cites Bert: Pre -training of deep bidirectional transformers for language understanding,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Bert: Pre -training of deep bidirectional transformers for language understanding,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.465084Z

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.

Observation 5f92fd1d-0d37-4bd7-b91e-1999e506991c · outbound

This paper cites Language Models are Few-Shot Learners.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Language Models are Few-Shot Learners

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T14:21:07.893695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 217fc043-eb40-4f07-b74a-9a108e675cca · outbound

This paper cites Large language models for supply chain optimization,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Large language models for supply chain optimization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.457554Z

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.

Observation 0535a4b6-83c0-47bd-b6c6-cefed6f67d0d · outbound

This paper cites Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.449646Z

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.

Observation 9b1907bd-bc68-4ed5-8a10-3c067a1d05ad · outbound

This paper cites From natural language to simulations: applying AI to automate simulation modelling of logistics systems,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation From natural language to simulations: applying AI to automate simulation modelling of logistics systems,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.442240Z

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.

Observation 826e31ba-e40a-4f8b-949d-d055d050b6f5 · outbound

This paper cites Large language models in cybersecurity: State-of-the-art,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Large language models in cybersecurity: State-of-the-art,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.434432Z

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.

Observation deaa1eb9-b750-47c9-93e5-90077b94d5c4 · outbound

This paper cites Artificial intelligence for supply chain management: Disruptive innovation or innovative disruption?,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Artificial intelligence for supply chain management: Disruptive innovation or innovative disruption?,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.426865Z

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.

Observation f687f032-9489-435b-a1f6-34b6c758778f · outbound

This paper cites A review on large Language Models: Architectures, applications, taxonomies, open issues and challenges,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation A review on large Language Models: Architectures, applications, taxonomies, open issues and challenges,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.419882Z

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.

Observation 6f1240a7-3f9b-4bed-ba06-8196e6257429 · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big? ,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation On the dangers of stochastic parrots: Can language models be too big? ,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.412462Z

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.

Observation 22c121c4-ddd6-4998-8369-c116d56ce893 · outbound

This paper cites Model cards for model reporting,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Model cards for model reporting,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.404683Z

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.

Observation a9159b17-6954-4428-a156-5750ac3bf701 · outbound

This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.397627Z

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.

Observation b71de43b-be64-43a8-9ab3-8cf122c3c29f · outbound

This paper cites How to design AI for social good: Seven essential factors,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation How to design AI for social good: Seven essential factors,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.388639Z

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.

Observation 625669ea-6abb-41b3-a23a-344faca1d3df · outbound

This paper cites Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.381423Z

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.

Observation 4759c18f-a9ad-4f4d-bf4a-e1691f25b374 · outbound

This paper cites Molnar, Interpretable machine learning.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Molnar, Interpretable machine learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.373052Z

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.

Observation c6440c8b-5316-47b5-8396-a659b438f1ef · outbound

This paper cites Visual analytics for explainable deep learning,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Visual analytics for explainable deep learning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.363397Z

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.

Observation d95533c1-e87a-4260-a269-a52c8a7a0201 · outbound

This paper cites Fairness in machine learning: Lessons from political philosophy,.

The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation Fairness in machine learning: Lessons from political philosophy,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:08.355284Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers