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Paper Citation Record · LEDGER

Towards explainable decision support using hybrid neural models for logistic terminal automation

As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2509.07577.

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

pith.paper-citation-record.v1
2509.07577 v2

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measured 55 of 55 reference resolution

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measured 55 of 55 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

55 of 55 outbound references displayed

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External citation measurements

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Outbound references

Observation a517e11c-8ae4-4e2a-8cce-ffbaeeac5ebf · outbound

This paper cites Trans- portation Research Part E: Logistics and Transportation Review186, 103563 (Jun 2024).

Towards explainable decision support using hybrid neural models for logistic terminal automation Trans- portation Research Part E: Logistics and Transportation Review186, 103563 (Jun 2024)

Reference 1

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This paper cites Management Research Review 38(5), 505–539 (May 2015).

Towards explainable decision support using hybrid neural models for logistic terminal automation Management Research Review 38(5), 505–539 (May 2015)

Reference 2

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This paper cites Oper Res Int J24(2), 23 (Jun 2024).

Towards explainable decision support using hybrid neural models for logistic terminal automation Oper Res Int J24(2), 23 (Jun 2024)

Reference 3

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This paper cites Algorithms17(8), 333 (Aug 2024).

Towards explainable decision support using hybrid neural models for logistic terminal automation Algorithms17(8), 333 (Aug 2024)

Reference 4

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This paper cites Infor- mation and Software Technology159, 107197 (Jul 2023).

Towards explainable decision support using hybrid neural models for logistic terminal automation Infor- mation and Software Technology159, 107197 (Jul 2023)

Reference 5

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Reference 6

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This paper cites Mechanistic Interpretability for AI Safety -- A Review.

Towards explainable decision support using hybrid neural models for logistic terminal automation Mechanistic Interpretability for AI Safety -- A Review

Reference 7

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This paper cites Neural Comput & Applic36(21), 12809–12844 (Jul 2024).

Towards explainable decision support using hybrid neural models for logistic terminal automation Neural Comput & Applic36(21), 12809–12844 (Jul 2024)

Reference 8

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This paper cites In: Merk- ert, R., Hoberg, K.

Towards explainable decision support using hybrid neural models for logistic terminal automation In: Merk- ert, R., Hoberg, K

Reference 9

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Reference 10

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This paper cites Logistics5(2), 25 (Apr 2021).

Towards explainable decision support using hybrid neural models for logistic terminal automation Logistics5(2), 25 (Apr 2021)

Reference 11

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Observation cb9421b6-b86a-4290-9f62-aceca3a5cd2d · outbound

This paper cites The role of causality in explainable artificial intelligence.

Towards explainable decision support using hybrid neural models for logistic terminal automation The role of causality in explainable artificial intelligence

Reference 12

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This paper cites Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue.

Towards explainable decision support using hybrid neural models for logistic terminal automation Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue

Reference 13

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This paper cites IEEE Transactions on Industrial Informatics19(12), 11553–11563 (2023).

Towards explainable decision support using hybrid neural models for logistic terminal automation IEEE Transactions on Industrial Informatics19(12), 11553–11563 (2023)

Reference 14

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Towards explainable decision support using hybrid neural models for logistic terminal automation IEEE Trans

Reference 15

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Towards explainable decision support using hybrid neural models for logistic terminal automation In: Müller, V .C

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Towards explainable decision support using hybrid neural models for logistic terminal automation Sci Eng Ethics26(6), 3333–3361 (Dec 2020)

Reference 17

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Towards explainable decision support using hybrid neural models for logistic terminal automation Assessing the Auditability of AI-integrating Systems: A Framework and Learning Analytics Case Study

Reference 18

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Towards explainable decision support using hybrid neural models for logistic terminal automation IEEE Trans

Reference 20

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Towards explainable decision support using hybrid neural models for logistic terminal automation Explaining Classifiers with Causal Concept Effect (CaCE)

Reference 21

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Towards explainable decision support using hybrid neural models for logistic terminal automation Big Data & Society11(1), 20539517241234298 (Mar 2024)

Reference 22

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Towards explainable decision support using hybrid neural models for logistic terminal automation Causal Machine Learning: A Survey and Open Problems

Reference 23

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Towards explainable decision support using hybrid neural models for logistic terminal automation Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

Reference 24

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Towards explainable decision support using hybrid neural models for logistic terminal automation Engineering Applications of Artifi- cial Intelligence129, 107620 (Mar 2024)

Reference 25

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Towards explainable decision support using hybrid neural models for logistic terminal automation Interna- tional Journal of Production Research62(4), 1510–1540 (Feb 2024)

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Towards explainable decision support using hybrid neural models for logistic terminal automation Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems

Reference 27

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Towards explainable decision support using hybrid neural models for logistic terminal automation Euro Jnl Phil Sci 14(4), 52 (Dec 2024)

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Towards explainable decision support using hybrid neural models for logistic terminal automation Information & Management61(5), 103969 (Jul 2024)

Reference 29

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Towards explainable decision support using hybrid neural models for logistic terminal automation Computers & Industrial Engineering187, 109768 (Jan 2024)

Reference 30

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Towards explainable decision support using hybrid neural models for logistic terminal automation A Unified Approach to Interpreting Model Predictions

Reference 31

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Towards explainable decision support using hybrid neural models for logistic terminal automation Sci Rep14(1), 18219 (Aug 2024)

Reference 32

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Towards explainable decision support using hybrid neural models for logistic terminal automation ACM Trans

Reference 33

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Towards explainable decision support using hybrid neural models for logistic terminal automation Ethics-Based Auditing to Develop Trustworthy AI

Reference 34

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Towards explainable decision support using hybrid neural models for logistic terminal automation In: Dolgui, A., Bernard, A., Lemoine, D., V on Cieminski, G., Romero, D

Reference 35

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Towards explainable decision support using hybrid neural models for logistic terminal automation Cambridge University Press, 2 edn

Reference 36

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Observation a50b4f42-cdd6-4064-ac20-384db439dfa8 · outbound

This paper cites Logistics6(2), 35 (May 2022).

Towards explainable decision support using hybrid neural models for logistic terminal automation Logistics6(2), 35 (May 2022)

Reference 37

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Observation ed966d0c-ef04-4d66-955a-2e301d6ee7ca · outbound

This paper cites Sustainable Futures9, 100526 (Jun 2025).

Towards explainable decision support using hybrid neural models for logistic terminal automation Sustainable Futures9, 100526 (Jun 2025)

Reference 38

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This paper cites https://doi.org/10.48550/arXiv.2312.12936, arXiv:2312.12936 [cs].

Towards explainable decision support using hybrid neural models for logistic terminal automation https://doi.org/10.48550/arXiv.2312.12936, arXiv:2312.12936 [cs]

Reference 39

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This paper cites JAIBD1(1), 139–150 (Dec 2021).

Towards explainable decision support using hybrid neural models for logistic terminal automation JAIBD1(1), 139–150 (Dec 2021)

Reference 40

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This paper cites Nonlinear Dyn99(2), 1709–1761 (Jan 2020).

Towards explainable decision support using hybrid neural models for logistic terminal automation Nonlinear Dyn99(2), 1709–1761 (Jan 2020)

Reference 41

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This paper cites "Why Should I Trust You?": Explaining the Predictions of Any Classifier.

Towards explainable decision support using hybrid neural models for logistic terminal automation "Why Should I Trust You?": Explaining the Predictions of Any Classifier

Reference 42

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This paper cites J of Business Logistics44(4), 532–549 (Oct 2023).

Towards explainable decision support using hybrid neural models for logistic terminal automation J of Business Logistics44(4), 532–549 (Oct 2023)

Reference 43

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Reference 44

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Observation 1455af21-f31e-4cda-9ba6-72d21bbc9eb7 · outbound

This paper cites ENG18(5), e170423215860 (Jul 2024).

Towards explainable decision support using hybrid neural models for logistic terminal automation ENG18(5), e170423215860 (Jul 2024)

Reference 45

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This paper cites European Journal of Operational Research310(3), 1201–1217 (Nov 2023).

Towards explainable decision support using hybrid neural models for logistic terminal automation European Journal of Operational Research310(3), 1201–1217 (Nov 2023)

Reference 46

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Towards explainable decision support using hybrid neural models for logistic terminal automation Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence

Reference 47

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Reference 48

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Observation adf582a6-da9a-4274-92ca-0d2c1fa20d21 · outbound

This paper cites Future Generation Computer Systems145, 1–11 (Aug 2023).

Towards explainable decision support using hybrid neural models for logistic terminal automation Future Generation Computer Systems145, 1–11 (Aug 2023)

Reference 49

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This paper cites In: The Rout- ledge Handbook of Causality and Causal Methods, pp.

Towards explainable decision support using hybrid neural models for logistic terminal automation In: The Rout- ledge Handbook of Causality and Causal Methods, pp

Reference 50

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Towards explainable decision support using hybrid neural models for logistic terminal automation Discovering Latent Causal Graphs from Spatiotemporal Data

Reference 51

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Observation b09ca422-e541-47c2-88ae-c5bf5f500b2d · outbound

This paper cites A Theoretical Framework for Graph-based Digital Twins for Supply Chain Management and Optimization.

Towards explainable decision support using hybrid neural models for logistic terminal automation A Theoretical Framework for Graph-based Digital Twins for Supply Chain Management and Optimization

Reference 52

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local_arxiv, observed 2026-08-04T21:58:30.027469Z

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Observation e20ed817-ed77-4fcd-90c0-8d762c823988 · outbound

This paper cites Chaos, Solitons & Fractals165, 112866 (Dec 2022).

Towards explainable decision support using hybrid neural models for logistic terminal automation Chaos, Solitons & Fractals165, 112866 (Dec 2022)

Reference 53

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arxiv_id, observed 2026-08-04T21:58:33.811329Z

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Observation 71e59515-e6b0-4aab-8426-8cc9898b2470 · outbound

This paper cites Hum-Cent Intell Syst3(3), 161–188 (Aug 2023).

Towards explainable decision support using hybrid neural models for logistic terminal automation Hum-Cent Intell Syst3(3), 161–188 (Aug 2023)

Reference 54

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation dc6f2578-6ab6-4261-88ab-06e034c6e9b8 · outbound

This paper cites Neural Comput & Applic 37(2), 859–965 (Jan 2025).

Towards explainable decision support using hybrid neural models for logistic terminal automation Neural Comput & Applic 37(2), 859–965 (Jan 2025)

Reference 55

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Pith citing papers

No inbound Pith citation observations are available.