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Paper Citation Record · LEDGER

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

As of 15 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.

pith.paper-citation-record.v1
2501.15411 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:21:07.932855Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

41 of 41 outbound references displayed

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  • verified fuzzy29
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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

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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

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verified exact
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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

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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

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verified fuzzy
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Source-reported events for the cited work

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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

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verified exact
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Source-reported events for the cited work

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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

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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
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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

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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

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

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

Reference 18

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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

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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

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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

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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

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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

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

Reference 25

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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
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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

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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

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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

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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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T14:21:07.905281Z digest=sha256:0a4475ee4e90afeca78f04a5f12219994241dcb8b770c85205ef8918af2c3c78

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T14:21:07.908350Z digest=sha256:4b2f9f47d53ef6346f8b1198af643d7b7f4153b900557dc7c715bc1106d23619

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T14:21:07.911265Z digest=sha256:f77263c9e0e7c23e91cf484face2d0835f96391a25b2405d54aea2c249b68de9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T14:21:07.914027Z digest=sha256:66ed181f94b23ce6dcad86f5ee50263aa3f41d5c78ac14d28af4935958581c57

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T14:21:07.917249Z digest=sha256:516a3e4e3e5cee88ac9f96c7b0a65205ab358d4ad408e75b6fae4c5a183f9f3a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T14:21:07.920470Z digest=sha256:2b3805626ec4f84dac5197ce833a7b57c2ef10a73757016c117f311995ea9a08

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T14:21:07.923874Z digest=sha256:71dd5e3de44e335aab366ed1e5792e72aee935858cf047234ba9374deeceec18

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T14:21:07.926425Z digest=sha256:f86d20f5cc7359a3698abf146bd3ae7923b16babd1d49225be4cdd90cd6b5f41

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T14:21:07.929340Z digest=sha256:bd1cacba1b229d109884377dca560b8de900e715ae54aa8f25ebecd88e320195

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T14:21:07.932855Z digest=sha256:3f42fd26a99231483d0011ae02626842628f876757f64ce253ee79ac634ae0f0

Pith citing papers

No inbound Pith citation observations are available.