ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono | Paper Citation Record

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This paper cites In: High Performance Computing in Science and Engineering: Second International Conference, HPCSE 2015, Sol´ aˇ n, Czech Republic, May 25-28, 2015, Revised Selected Papers 2, pp.

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: High Performance Computing in Science and Engineering: Second International Conference, HPCSE 2015, Sol´ aˇ n, Czech Republic, May 25-28, 2015, Revised Selected Papers 2, pp

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This paper cites In: Advances in Nonlinear Dynamics, pp.

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: Advances in Nonlinear Dynamics, pp

Reference 2

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Unresolved cited work

Reference 3

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Unresolved cited work

Reference 4

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This paper cites CEAS Space Journal 7(3), 335–346 (2015).

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono CEAS Space Journal 7(3), 335–346 (2015)

Reference 5

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This paper cites Multibody System Dynamics39(1-2), 3–20 (2017).

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Multibody System Dynamics39(1-2), 3–20 (2017)

Reference 6

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This paper cites In: AIAA Scitech 2020 Forum, p.

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: AIAA Scitech 2020 Forum, p

Reference 7

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This paper cites Computers & Graphics 116, 23 ' & $ % You ’ r e an e x p e r t i n t h e PyChrono s i m u l a t o r.

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Computers & Graphics 116, 23 ' & $ % You ’ r e an e x p e r t i n t h e PyChrono s i m u l a t o r

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This paper cites In: 2017 International Joint Conference on Neural Networks (IJCNN), pp.

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: 2017 International Joint Conference on Neural Networks (IJCNN), pp

Reference 9

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This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 10

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This paper cites SRDA: Generating Instance Segmentation Annotation Via Scanning, Reasoning And Domain Adaptation.

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono SRDA: Generating Instance Segmentation Annotation Via Scanning, Reasoning And Domain Adaptation

Reference 11

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This paper cites In: Com- putational Science and Computational Intelligence (CSCI), 2016 International Conference On, pp.

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: Com- putational Science and Computational Intelligence (CSCI), 2016 International Conference On, pp

Reference 12

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This paper cites In: Military Technologies (ICMT), 2017 International Conference On, pp.

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: Military Technologies (ICMT), 2017 International Conference On, pp

Reference 13

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This paper cites In: Ground Vehicle Systems Engineering and Technology Symposium (2017).

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: Ground Vehicle Systems Engineering and Technology Symposium (2017)

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono IEEE Transactions on Robotics (2023) 24

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This paper cites Agriculture 14(3), 499 (2024).

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Agriculture 14(3), 499 (2024)

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This paper cites Journal of Marine Science and Engineering 12(5), 701 (2024).

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Journal of Marine Science and Engineering 12(5), 701 (2024)

Reference 17

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This paper cites Vibroengineering PROCEDIA 18, 123–127 (2018).

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Vibroengineering PROCEDIA 18, 123–127 (2018)

Reference 18

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This paper cites In: 11th International SPHERIC Workshop – Munich Germany, June 14-16, 2016 (2016).

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: 11th International SPHERIC Workshop – Munich Germany, June 14-16, 2016 (2016)

Reference 19

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This paper cites KSCE Journal of Civil Engineering, 1–10 (2019).

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono KSCE Journal of Civil Engineering, 1–10 (2019)

Reference 20

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: Fluid Power Systems Technology, vol

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition, pp

Reference 22

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Journal of Engineering for Gas Turbines and Power 141(4), 041014 (2019)

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: Proceedings of the European Wave and Tidal Energy Conference, vol

Reference 24

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: SPE Latin American and Caribbean Petroleum Engineering Conference (2020)

Reference 25

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono https://groups.google.com/forum/#! forum/projectchrono

Reference 26

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono https://anaconda.org/projectchrono/pychrono

Reference 27

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono https://hub.docker.com/ r/uwsbel/projectchrono

Reference 28

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono https://github.com/projectchrono/ chrono

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Scaling Laws for Neural Language Models

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Training Compute-Optimal Large Language Models

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Emergent Abilities of Large Language Models

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Language Models are Few-Shot Learners

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Gemini: A Family of Highly Capable Multimodal Models

Reference 36

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono https: //www-cdn.anthropic.com/bd2a28d2535bfb0494cc8e2a3bf135d2e7523226/ Model-Card-Claude-2.pdf

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono ACM computing surveys (csur) 53(3), 1–34 (2020)

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Advances in neural information processing systems 35, 24824–24837 (2022)

Reference 39

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Show Your Work: Scratchpads for Intermediate Computation with Language Models

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 41

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 43

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: The 2023 Conference on Empirical Methods in Natural Language Processing (2023)

Reference 44

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: International Conference on Learning Representations (2022)

Reference 45

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 46

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono OMPGPT: A Generative Pre-trained Transformer Model for OpenMP

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono MonoCoder: Domain-Specific Code Language Model for HPC Codes and Tasks

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono https://github.com/meta-llama/ llama3/blob/main/MODEL CARD.md

Reference 49

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Multibody System Dynamics, 1–23 (2024) 28

Reference 50

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Multibody System Dynamics, 1–29 (2023)

Reference 51

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Journal of Machine Learning for Modeling and Computing 4(4) (2023)

Reference 52

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Journal of Computational Physics 378, 686–707 (2019) https://doi.org/10.1016/j.jcp.2018.10.045

Reference 53

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Computers and Geotechnics 169, 106237 (2024) https://doi.org/10.1016/j.compgeo.2024

Reference 54

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono IEEE Transactions on Neural Networks and Learning Systems (2023)

Reference 55

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Reference 57

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Code Llama: Open Foundation Models for Code

Reference 58

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Gemma: Open Models Based on Gemini Research and Technology

Reference 60

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono https://goo.gle/codegemma

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono OceanGPT: A Large Language Model for Ocean Science Tasks

Reference 63

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Reference 65

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Reference 66

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 67

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Reference 69

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This paper cites Advances in Neural Information Processing Systems 35, 1950–1965 (2022).

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Advances in Neural Information Processing Systems 35, 1950–1965 (2022)

Reference 70

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation

Reference 71

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces, pp

Reference 72

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono http://api

Reference 73

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Mixtral of Experts

Reference 74

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Reference 75

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Measuring Massive Multitask Language Understanding

Reference 76

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono StarCoder: may the source be with you!

Reference 77

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 78

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Trends in cognitive sciences 3(4), 128–135 (1999) 31

Reference 79

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: International Conference on Learning Representations 2022 (2022)

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:51:24.094753Z

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Observation 16865331-98b1-4acd-ad22-e5fad726a01a · outbound

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Continual Pre-Training of Large Language Models: How to (re)warm your model?

Reference 81

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This paper cites Proceedings of the national academy of sciences 114(13), 3521–3526 (2017).

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Proceedings of the national academy of sciences 114(13), 3521–3526 (2017)

Reference 82

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This paper cites Advances in neural information processing systems 30 (2017).

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Advances in neural information processing systems 30 (2017)

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:51:23.714752Z

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Structured Chain-of-Thought Prompting for Code Generation

Reference 84

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 85

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: The Twelfth International Conference on Learning Representa- tions (2023)

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:51:23.514858Z

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Observation cbaf42d4-afe6-4161-9eea-af50fd9b6f10 · outbound

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-10T21:51:14.244819Z

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Unavailable: canonical work link unavailable.

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:51:23.284817Z

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Observation 0ed08dc1-01aa-47f6-ae47-cf5bd3537b69 · outbound

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono LoRA+: Efficient Low Rank Adaptation of Large Models

Reference 89

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Advances in Neural Information Processing Systems 36 (2024)

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:51:23.101154Z

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Observation 55bb9d88-0d1e-461c-82fc-87105d0d2a73 · outbound

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Reference 91

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Observation 11a4a335-bb95-45c4-a7ae-4731341daea4 · outbound

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono ACM Transactions on Intelligent Systems and Technology 15(3), 1–45 (2024)

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:51:22.780188Z

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Observation 7be7d693-e4dd-40d3-8d33-9b1665ca067d · outbound

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pp

Reference 94

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Reference 95

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Unavailable: canonical work link unavailable.

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-10T21:51:14.662905Z

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Unavailable: canonical work link unavailable.

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono In: Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming, pp

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:51:22.354832Z

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Observation 0bb1cba8-2754-41ad-a3ab-49d297798383 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Advances in Neural Information Processing Systems 36 (2024)

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:51:22.634809Z

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Observation ed04ff3a-7dac-4b48-94dc-698026e6557b · outbound

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

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-10T21:51:14.824751Z

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Unavailable: canonical work link unavailable.

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono https://arxiv.org/abs/2408.11987

Reference 100

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Observation d6153789-b196-4583-a38c-f392e9b87b98 · outbound

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ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono Large Language Model Unlearning

Reference 101

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Unavailable: canonical work link unavailable.

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Pith citing papers