CN101 - A Digital Thermodynamic Computer for Generative AI | Paper Citation Record

Observation 1123c485-98bc-4652-800c-5da61f746e40 · outbound

This paper cites Thermodynamic Computing.

CN101 - A Digital Thermodynamic Computer for Generative AI Thermodynamic Computing

Reference 1

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Observation e5a7c1de-5d17-4a71-bb39-9e557462a775 · outbound

This paper cites Coles, Collin Szczepanski, Denis Melanson, Kae- lan Donatella, Antonio J.

CN101 - A Digital Thermodynamic Computer for Generative AI Coles, Collin Szczepanski, Denis Melanson, Kae- lan Donatella, Antonio J

Reference 2

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Observation 3e441dd4-f41a-4510-87d5-02d27ba76674 · outbound

This paper cites Thermodynamic computing: An intellectual and technological frontier.Proceedings, 47(1):23, 2020.

CN101 - A Digital Thermodynamic Computer for Generative AI Thermodynamic computing: An intellectual and technological frontier.Proceedings, 47(1):23, 2020

Reference 3

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Observation 10377475-1dfa-4d2f-9cad-c42feb7355df · outbound

This paper cites Solving the compute crisis with physics-based ASICs.

CN101 - A Digital Thermodynamic Computer for Generative AI Solving the compute crisis with physics-based ASICs

Reference 4

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CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 5

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Observation c52df5a5-85c3-480c-8905-499934167c21 · outbound

This paper cites Crooks, Antonio J.

CN101 - A Digital Thermodynamic Computer for Generative AI Crooks, Antonio J

Reference 6

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Observation 528852b8-6b4e-44f3-9d80-e8b000d71bfe · outbound

This paper cites Martinez, and Patrick J.

CN101 - A Digital Thermodynamic Computer for Generative AI Martinez, and Patrick J

Reference 7

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CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 8

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Observation 48eb3879-c736-4d31-96db-b3047a0ca7ee · outbound

This paper cites Nonlinear ther- modynamic computing out of equilibrium.Nature Communications, 17(1):1189, 2026.

CN101 - A Digital Thermodynamic Computer for Generative AI Nonlinear ther- modynamic computing out of equilibrium.Nature Communications, 17(1):1189, 2026

Reference 9

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Observation b01656de-dfe7-4add-a7b8-f6699436a2ee · outbound

This paper cites Generative thermodynamic computing.

CN101 - A Digital Thermodynamic Computer for Generative AI Generative thermodynamic computing

Reference 10

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Observation 3a1359ff-907c-4d3c-905c-415d097ac32a · outbound

This paper cites Camsari, Rafatul Faria, Brian M.

CN101 - A Digital Thermodynamic Computer for Generative AI Camsari, Rafatul Faria, Brian M

Reference 11

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Observation d14ebf74-5eca-4c56-87a3-36b12f50cd6e · outbound

This paper cites Probabilistic computing with p-bits.Applied Physics Letters, 119(15):150503, 2021.

CN101 - A Digital Thermodynamic Computer for Generative AI Probabilistic computing with p-bits.Applied Physics Letters, 119(15):150503, 2021

Reference 12

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Observation a565a2be-ae80-467d-a303-6732551e2826 · outbound

This paper cites Martinis, Giovanni Finocchio, and Kerem Y.

CN101 - A Digital Thermodynamic Computer for Generative AI Martinis, Giovanni Finocchio, and Kerem Y

Reference 13

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This paper cites An efficient probabilistic hardware architecture for diffusion-like models, 2025.

CN101 - A Digital Thermodynamic Computer for Generative AI An efficient probabilistic hardware architecture for diffusion-like models, 2025

Reference 14

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CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 15

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CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 16

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CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 17

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This paper cites Meyn and Richard L.

CN101 - A Digital Thermodynamic Computer for Generative AI Meyn and Richard L

Reference 18

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Observation b376528d-2793-418c-872a-25560b8263fd · outbound

This paper cites Jones, and Xiao- Li Meng, editors.Handbook of Markov Chain Monte Carlo.

CN101 - A Digital Thermodynamic Computer for Generative AI Jones, and Xiao- Li Meng, editors.Handbook of Markov Chain Monte Carlo

Reference 19

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Observation a33e33e8-fd73-4513-89c6-b093bac69f0b · outbound

This paper cites Using anytime algorithms in intelligent systems.AI Magazine, 17(3):73–83, 1996.

CN101 - A Digital Thermodynamic Computer for Generative AI Using anytime algorithms in intelligent systems.AI Magazine, 17(3):73–83, 1996

Reference 20

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This paper cites an unresolved cited work.

CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 21

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Observation e5fdba91-18a6-4a8b-8e02-197ee1770c72 · outbound

This paper cites parareal.

CN101 - A Digital Thermodynamic Computer for Generative AI parareal

Reference 22

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Observation 4ccf09eb-7a3c-4f33-9fdb-75a7eeac8810 · outbound

This paper cites Parallel sampling of diffusion models.

CN101 - A Digital Thermodynamic Computer for Generative AI Parallel sampling of diffusion models

Reference 23

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Observation 588fa524-7dcb-42c0-aa94-c2df4dcb0b29 · outbound

This paper cites Hardware ODE solvers using stochastic circuits.

CN101 - A Digital Thermodynamic Computer for Generative AI Hardware ODE solvers using stochastic circuits

Reference 24

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This paper cites Gross, and Jie Han.

CN101 - A Digital Thermodynamic Computer for Generative AI Gross, and Jie Han

Reference 25

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Observation 0f099a5f-d3ee-4bbc-b5fd-9c62a890f4eb · outbound

This paper cites ACOUSTIC: Acceler- ating convolutional neural networks through or-unipolar skipped stochastic computing.

CN101 - A Digital Thermodynamic Computer for Generative AI ACOUSTIC: Acceler- ating convolutional neural networks through or-unipolar skipped stochastic computing

Reference 26

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Observation 713f0e93-5c04-4e44-bc69-d0b9b45106e7 · outbound

This paper cites SC-DCNN: Highly- scalable deep convolutional neural network using stochas- tic computing.

CN101 - A Digital Thermodynamic Computer for Generative AI SC-DCNN: Highly- scalable deep convolutional neural network using stochas- tic computing

Reference 27

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Observation 9a6bdf22-f771-4a98-a151-13ba81ce25d2 · outbound

This paper cites Dynamic energy- accuracy trade-off using stochastic computing in deep neu- ral networks.

CN101 - A Digital Thermodynamic Computer for Generative AI Dynamic energy- accuracy trade-off using stochastic computing in deep neu- ral networks

Reference 28

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Observation 606a3bf4-dd54-4145-8db4-af3ba63a684c · outbound

This paper cites Scalable stochastic-computing accelerator for convo- lutional neural networks.

CN101 - A Digital Thermodynamic Computer for Generative AI Scalable stochastic-computing accelerator for convo- lutional neural networks

Reference 29

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Observation 59956533-5c1d-46be-acad-4c7518b43dce · outbound

This paper cites Brown and Howard C.

CN101 - A Digital Thermodynamic Computer for Generative AI Brown and Howard C

Reference 30

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Observation 0e749b0e-c5b7-4b37-9419-290f509ba3e1 · outbound

This paper cites Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks.

CN101 - A Digital Thermodynamic Computer for Generative AI Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks

Reference 31

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CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 32

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Observation 6b2899dc-5aa8-48d9-be27-0b8d2b6ad04a · outbound

This paper cites Chapiro.Globally-Asynchronous Locally- Synchronous Systems.

CN101 - A Digital Thermodynamic Computer for Generative AI Chapiro.Globally-Asynchronous Locally- Synchronous Systems

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Observation 47ff7647-8f7c-4b48-a80d-5df847771b13 · outbound

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CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 34

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Observation 8b6af676-640d-47f0-bb1e-1fe1e2a2f309 · outbound

This paper cites Coles, Max Welling, and Miranda C.

CN101 - A Digital Thermodynamic Computer for Generative AI Coles, Max Welling, and Miranda C

Reference 35

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Observation 01c209f5-d90c-4aa2-958c-3253de6218dd · outbound

This paper cites Kingma and Max Welling.

CN101 - A Digital Thermodynamic Computer for Generative AI Kingma and Max Welling

Reference 36

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Observation e02e9ab8-f0c0-483b-8e63-489b412382bf · outbound

This paper cites Learning structured output representation using deep conditional generative models.

CN101 - A Digital Thermodynamic Computer for Generative AI Learning structured output representation using deep conditional generative models

Reference 37

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Observation 17381514-2d46-48a7-b2f2-c9902f5f3400 · outbound

This paper cites Optical recognition of handwritten digits.

CN101 - A Digital Thermodynamic Computer for Generative AI Optical recognition of handwritten digits

Reference 38

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Observation cf466229-d657-4c6f-9178-692f0c799105 · outbound

This paper cites Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324,.

CN101 - A Digital Thermodynamic Computer for Generative AI Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:23:11.129794Z

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Observation eb7ab4ba-b0e2-4a9d-827a-1e8dad763d4f · outbound

This paper cites Deep residual learning for image recognition.

CN101 - A Digital Thermodynamic Computer for Generative AI Deep residual learning for image recognition

Reference 40

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Observation 0f072568-a575-488d-a2a5-1dbdf6f03869 · outbound

This paper cites The hardware lottery.Communications of the ACM, 64(12):58–65, 2021.

CN101 - A Digital Thermodynamic Computer for Generative AI The hardware lottery.Communications of the ACM, 64(12):58–65, 2021

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Observation dd7d8e53-4a68-4444-ba21-00bd4307ba4f · outbound

This paper cites Denoising diffusion probabilistic models.

CN101 - A Digital Thermodynamic Computer for Generative AI Denoising diffusion probabilistic models

Reference 42

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This paper cites Weiss, Niru Mah- eswaranathan, and Surya Ganguli.

CN101 - A Digital Thermodynamic Computer for Generative AI Weiss, Niru Mah- eswaranathan, and Surya Ganguli

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:23:11.094972Z

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Observation 3d4fab73-e8f9-4e59-ab19-1dee6dcb7689 · outbound

This paper cites A complete decomposition of stochastic differential equations, 2026.

CN101 - A Digital Thermodynamic Computer for Generative AI A complete decomposition of stochastic differential equations, 2026

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:23:11.080411Z

Source-reported events for the cited work

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Observation f3e72304-147a-4386-bdd1-e302e27d78c6 · outbound

This paper cites an unresolved cited work.

CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 45

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Observation 952be97f-4e40-452b-9d7a-e8c72f674ade · outbound

This paper cites A proposal on machine learning via dynamical systems.Communications in Mathematics and Statistics, 5 (1):1–11, 2017.

CN101 - A Digital Thermodynamic Computer for Generative AI A proposal on machine learning via dynamical systems.Communications in Mathematics and Statistics, 5 (1):1–11, 2017

Reference 46

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Observation 7c4ee1f4-7156-4d93-a4f2-9083068c1464 · outbound

This paper cites Kloeden and Eckhard Platen.Numerical Solu- tion of Stochastic Differential Equations, volume 23 of Applications of Mathematics.

CN101 - A Digital Thermodynamic Computer for Generative AI Kloeden and Eckhard Platen.Numerical Solu- tion of Stochastic Differential Equations, volume 23 of Applications of Mathematics

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:23:11.055065Z

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Observation 3d49a45f-13ca-49b5-8f79-14c19293d326 · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

CN101 - A Digital Thermodynamic Computer for Generative AI Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:23:11.039578Z

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Observation 326fa54f-43c8-48e6-b262-26ed395e183d · outbound

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CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 49

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Observation f2ee8549-2d6c-468f-9f07-559d36b1b968 · outbound

This paper cites Learning multiple layers of features from tiny images.

CN101 - A Digital Thermodynamic Computer for Generative AI Learning multiple layers of features from tiny images

Reference 50

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This paper cites Shift: A zero FLOP, zero parameter alternative to spatial convolutions.

CN101 - A Digital Thermodynamic Computer for Generative AI Shift: A zero FLOP, zero parameter alternative to spatial convolutions

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:23:10.995651Z

Source-reported events for the cited work

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Observation 4dd906f5-a57c-4330-b397-58c78d28ce1c · outbound

This paper cites U- Net: Convolutional networks for biomedical image seg- mentation.

CN101 - A Digital Thermodynamic Computer for Generative AI U- Net: Convolutional networks for biomedical image seg- mentation

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Observation 09b23e8e-ce71-4b6e-a141-a2c58696c556 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

CN101 - A Digital Thermodynamic Computer for Generative AI Flow straight and fast: Learning to generate and transfer data with rectified flow

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:23:10.980369Z

Source-reported events for the cited work

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Observation ec42fef0-e7f5-4ef7-b4a2-8e66e73796cd · outbound

This paper cites Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning.Science, 365 (6457):eaaw1147, 2019.

CN101 - A Digital Thermodynamic Computer for Generative AI Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning.Science, 365 (6457):eaaw1147, 2019

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Observation 930fb028-11f6-4c11-9e59-ed8017c85742 · outbound

This paper cites Bronstein, and Max Welling.

CN101 - A Digital Thermodynamic Computer for Generative AI Bronstein, and Max Welling

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:23:10.964927Z

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Observation ef24ea04-ca4b-4f5f-ac91-5b9e3dda77bf · outbound

This paper cites Nonequilibrium equality for free energy differences.Physical Review Letters, 78(14):2690– 2693, 1997.

CN101 - A Digital Thermodynamic Computer for Generative AI Nonequilibrium equality for free energy differences.Physical Review Letters, 78(14):2690– 2693, 1997

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Resolution: unresolved; no resolver link, observed 2026-08-15T15:23:09.935243Z

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Observation f8dbe4f3-4c58-4576-81f9-30dd3831c838 · outbound

This paper cites Jarzynski.

CN101 - A Digital Thermodynamic Computer for Generative AI Jarzynski

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T15:23:09.939839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce1897eb-13c1-4c28-83fc-7db6f162ddd0 · outbound

This paper cites an unresolved cited work.

CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T15:23:09.944410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4f5f351-f3a0-4518-b364-c8c2abf1d4ce · outbound

This paper cites an unresolved cited work.

CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 59

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Source-reported events for the cited work

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Observation bdf84a8b-41ae-44e8-a333-66f1e6315504 · outbound

This paper cites an unresolved cited work.

CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:23:10.926002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 887348be-534f-45d1-880e-22f11c3c67a2 · outbound

This paper cites an unresolved cited work.

CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T15:23:09.957623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 224af150-3dca-4952-8691-7e0f8174d01c · outbound

This paper cites an unresolved cited work.

CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 62

Resolution: malformed identifier; no resolver link, observed 2026-08-15T15:23:09.962104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c747e518-e2b7-43e0-b944-fa18041b3713 · outbound

This paper cites Levin, Yuval Peres, and Elizabeth L.

CN101 - A Digital Thermodynamic Computer for Generative AI Levin, Yuval Peres, and Elizabeth L

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:23:10.912474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e969d8b1-ecfb-499e-a511-23773b58f1ca · outbound

This paper cites an unresolved cited work.

CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 64

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dcebed4-c0ea-4495-8bb6-1904ebd0639e · outbound

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CN101 - A Digital Thermodynamic Computer for Generative AI Stochastic thermodynamics, fluctuation the- orems and molecular machines.Reports on Progress in Physics, 75(12):126001, 2012

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac58df1-ec48-4da4-b418-19fb2ac4c48a · outbound

This paper cites Sivak and Gavin E.

CN101 - A Digital Thermodynamic Computer for Generative AI Sivak and Gavin E

Reference 66

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbf18e9d-9a81-40e2-bd8a-606e907a3cfa · outbound

This paper cites an unresolved cited work.

CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 67

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T15:23:10.898258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cf7e26c3-c8ed-4767-ad3b-c4519199d215 · outbound

This paper cites an unresolved cited work.

CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ef416d3-ea72-46fe-9da8-2570287fefa2 · outbound

This paper cites an unresolved cited work.

CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 1984

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:23:11.211333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5d2af4ca-bcf5-4e9d-8e16-9f451e2cbcc6 · outbound

This paper cites an unresolved cited work.

CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-15T15:23:09.746818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17b2a5c8-643d-4ed3-8e5c-194613359a50 · outbound

This paper cites an unresolved cited work.

CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-15T15:23:09.687995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38396c38-7ed8-42e6-bc45-189dc90d0fb2 · outbound

This paper cites an unresolved cited work.

CN101 - A Digital Thermodynamic Computer for Generative AI Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T15:23:09.591064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers