Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:21:07.932855Z
Paper Citation Record · LEDGER
The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation
As of 17 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2501.15411.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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
Reference resolution
41 of 41 outbound references displayed
- verified exact7
- verified fuzzy29
- unresolved4
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f329b8a4-d1e9-4404-9dcb-8400d6f1de7e · outbound
This paper cites Boush, A.
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
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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 2026-08-16T06:30:59.297886+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
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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.