Paper Citation Record · LEDGER

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device

As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2605.08645.

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

pith.paper-citation-record.v1
2605.08645 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T01:12:40.071020Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

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

34 of 34 outbound references displayed

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verified fuzzy7
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External citation measurements

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Outbound references

Observation 50ae45e8-c151-46c8-b831-f690923bd396 · outbound

This paper cites A learning algorithm for Boltzmann machines.Cognitive Science, 9(1):147–169.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device A learning algorithm for Boltzmann machines.Cognitive Science, 9(1):147–169

Reference 1

Resolution: verified exact; doi, observed 2026-05-12T01:16:14.368274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f7667107-aabf-49d7-960a-8a5203627c64 · outbound

This paper cites Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:21:25.933697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ba7a98c8-f7e1-4047-9110-e71d0ca7d4fd · outbound

This paper cites Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:21:25.923238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 46e3e73f-5d16-45e3-a113-740dd0d089d7 · outbound

This paper cites Versatile Energy-Based Probabilistic Models for High Energy Physics.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Versatile Energy-Based Probabilistic Models for High Energy Physics

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:21:25.928663Z

Source-reported events for the cited work

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Observation 3f4207d3-62d2-4a6c-b8cc-a1d5c9596ab0 · outbound

This paper cites Data-driven plasma modelling: surro- gate collisional radiative models of fluorocarbon plasmas from deep generative autoencoders.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Data-driven plasma modelling: surro- gate collisional radiative models of fluorocarbon plasmas from deep generative autoencoders

Reference 5

Resolution: verified exact; doi, observed 2026-05-12T01:16:14.371841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8e105a4d-4b7c-4cd2-8f2c-67ecf5bf0ab9 · outbound

This paper cites Synthetic data generation using generative adversarial network for tokamak plasma current quench experiments.Contributions to Plasma Physics, 63(5-6):e202200051, June 2023.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Synthetic data generation using generative adversarial network for tokamak plasma current quench experiments.Contributions to Plasma Physics, 63(5-6):e202200051, June 2023

Reference 6

Resolution: verified exact; doi, observed 2026-05-12T01:16:14.363922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41c3a27b-86c8-4d0d-a154-4abb17acb343 · outbound

This paper cites Residual Energy-Based Models for Text Generation.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Residual Energy-Based Models for Text Generation

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:21:25.947087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3fcd6da2-d1ff-40b8-b3a6-e3ef73c77318 · outbound

This paper cites Implicit Generation and Generalization in Energy-Based Models.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Implicit Generation and Generalization in Energy-Based Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:21:25.961621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation df55cec4-67f0-4111-9cec-9b2f6e5b06fd · outbound

This paper cites Model Based Planning with Energy Based Models.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Model Based Planning with Energy Based Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:16:14.323724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ed0b49fd-7604-4c35-8a33-985c08eb7ab2 · outbound

This paper cites Compositional Visual Generation and Inference with Energy Based Models.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Compositional Visual Generation and Inference with Energy Based Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:21:25.978373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 864de8d2-e00f-43d2-86ba-dd2b06b706b3 · outbound

This paper cites Unsupervised Learning of Compositional Energy Concepts.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Unsupervised Learning of Compositional Energy Concepts

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:21:26.000466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 414a8b5a-6ceb-4878-bf22-6eb91f07ee7e · outbound

This paper cites Improved Contrastive Divergence Training of Energy Based Models.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Improved Contrastive Divergence Training of Energy Based Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:21:25.951913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation be662063-7a35-4a7b-8bcc-aeb28cdff986 · outbound

This paper cites Learning Generative ConvNets via Multi-grid Modeling and Sampling.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Learning Generative ConvNets via Multi-grid Modeling and Sampling

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:16:14.313779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 114b404b-cf79-4645-aa5a-79a9fe5a9a28 · outbound

This paper cites Generative Adversarial Networks.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Generative Adversarial Networks

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T04:04:41.117563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 545dd82b-c1e8-4697-90b9-493b16261b0a · outbound

This paper cites Neural Computation , author =.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Neural Computation , author =

Reference 15

Resolution: verified exact; doi, observed 2026-05-12T01:16:14.359834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 70bd5eb9-af64-4cac-b2b5-43bd16cba164 · outbound

This paper cites Christopher G.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Christopher G

Reference 16

Resolution: metadata mismatch; doi, observed 2026-05-12T01:16:14.317829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0bc312dc-a5cb-441c-af7b-93e05e182c99 · outbound

This paper cites Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:21:25.984474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 593a96c5-c5df-497a-91a4-6fea32a570cf · outbound

This paper cites Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T01:16:14.344872Z

Source-reported events for the cited work

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Observation acc887d9-f75b-4136-bcfb-839cd3a7a36b · outbound

This paper cites Auto-Encoding Variational Bayes.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Auto-Encoding Variational Bayes

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T08:21:25.938693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0bf32301-f20d-4dd4-bbfb-6da7f3c57be4 · outbound

This paper cites A Tutorial on Energy-Based Learning.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device A Tutorial on Energy-Based Learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T08:15:52.502529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9581e5f7-0ad6-4ca6-b7f4-3a5d2688c8af · outbound

This paper cites PhD thesis, Eindhoven University of Technology, July 2022.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device PhD thesis, Eindhoven University of Technology, July 2022

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T08:15:52.487146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5304e585-74d0-4a84-81bc-56e4d072b68f · outbound

This paper cites Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:21:25.993879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9cc88b64-4464-4f54-91c7-e3981b0ce480 · outbound

This paper cites On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models.Proceedings of the AAAI Conference on Artificial Intelligence, 34(04):5272–5280, April 2020.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models.Proceedings of the AAAI Conference on Artificial Intelligence, 34(04):5272–5280, April 2020

Reference 23

Resolution: verified exact; doi, observed 2026-05-12T01:16:14.352976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6bb3f00b-2c48-4786-8388-5dd345a69074 · outbound

This paper cites Machine learning and Bayesian inference in nuclear fusion research: an overview.Plasma Physics and Controlled Fusion, 65(5):053001, May 2023.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Machine learning and Bayesian inference in nuclear fusion research: an overview.Plasma Physics and Controlled Fusion, 65(5):053001, May 2023

Reference 24

Resolution: verified exact; doi, observed 2026-05-12T01:16:14.356493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 810ef8c6-dc42-4d38-8950-934b617774e1 · outbound

This paper cites Design of the Lanthanum hexaboride based plasma source for the large plasma device at UCLA.Review of Scientific Instruments, 94(8):085104, 08 2023.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Design of the Lanthanum hexaboride based plasma source for the large plasma device at UCLA.Review of Scientific Instruments, 94(8):085104, 08 2023

Reference 25

Resolution: verified exact; doi, observed 2026-05-12T01:16:14.308686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c8c27640-9392-4266-bfe6-e6eb0b8d95ac · outbound

This paper cites Deep boltzmann machines.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Deep boltzmann machines

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T08:10:58.525523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 874c0535-162a-4f00-8694-19b0045103b3 · outbound

This paper cites Training restricted Boltzmann machines using approximations to the like- lihood gradient.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Training restricted Boltzmann machines using approximations to the like- lihood gradient

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T08:10:58.528558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 10e48a3b-27ea-48c4-8d4a-3384f026a56a · outbound

This paper cites Vincent, H.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Vincent, H

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T01:16:14.334312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 285b83a8-073a-435a-9388-a6aae29d5fae · outbound

This paper cites Machine-learned trends in mirror configurations in the large plasma device.Physics of Plasmas, 32(8):082106, August 2025.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Machine-learned trends in mirror configurations in the large plasma device.Physics of Plasmas, 32(8):082106, August 2025

Reference 29

Resolution: verified exact; doi, observed 2026-05-12T01:16:14.348438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a0c921ea-3f9f-464e-a6e1-cea92da8f2b8 · outbound

This paper cites PhD thesis.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device PhD thesis

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T08:15:52.497344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 45371910-5188-40fe-ae12-f82102ad5a06 · outbound

This paper cites Wei, J.P.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device Wei, J.P

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T08:15:52.492212Z

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Observation 1273eb1f-8c35-42b5-bd22-9e3717892132 · outbound

This paper cites URL https://iopscience.iop.org/article/10.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device URL https://iopscience.iop.org/article/10

Reference 32

Resolution: verified exact; doi, observed 2026-05-12T01:16:14.304928Z

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Observation 97ee1362-6b60-4119-8379-7d27b984088c · outbound

This paper cites negative.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device negative

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T01:16:14.339572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9dd9f26a-d097-49a1-a054-2cefb62c3da2 · outbound

This paper cites This behavior is evident in the aggregate energy distribution seen in fig.

Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device This behavior is evident in the aggregate energy distribution seen in fig

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T08:15:52.478198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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