Paper Citation Record · LEDGER

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion

As of 9 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2502.05615.

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

pith.paper-citation-record.v1
2502.05615 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:39:26.907123Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:26:05.809159Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

verified exact2
verified fuzzy22
unresolved30
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 206c3d20-061b-451b-8560-265b779217dc · outbound

This paper cites Deepseek-v3 technical report,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Deepseek-v3 technical report,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.681471Z

Source-reported events for the cited work

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Observation f8e286c2-83ec-4da4-954a-45156b5bc735 · outbound

This paper cites Qwen2.5 Technical Report.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Qwen2.5 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.689538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 119a693b-5eb1-4cc3-9424-73b0357368e0 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Chain-of-thought prompting elicits reasoning in large language models,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.693420Z

Source-reported events for the cited work

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Observation 04e2d147-9b67-48fc-af70-fd20dee12992 · outbound

This paper cites Large-scale multi-modal pre-trained models: A comprehensive survey,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Large-scale multi-modal pre-trained models: A comprehensive survey,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.696992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfec1c5c-bb98-45d5-80c6-8d3a4fe4fbb3 · outbound

This paper cites Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.700706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52365a3f-0ef8-41af-a51f-5df86ff9c886 · outbound

This paper cites R2gencsr: Re- trieving context samples for large language model based x-ray medical report generation,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion R2gencsr: Re- trieving context samples for large language model based x-ray medical report generation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.703984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7a3e002-0ed1-4b90-bead-ff95d4dd71c6 · outbound

This paper cites Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.707552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dc30d4e-4717-4929-85fb-2b16a122722c · outbound

This paper cites Large lan- guage models are zero-shot reasoners,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Large lan- guage models are zero-shot reasoners,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.711917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8008fca1-e464-4409-aa46-76cacb0c5f32 · outbound

This paper cites GPT-4 Technical Report.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion GPT-4 Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.715711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 588f7f49-3d85-4906-83b4-c6ce847a07a2 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.719837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a54db0c9-3a6b-454b-b4d2-b4c8d5ab8822 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion LLaMA: Open and Efficient Foundation Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.723622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c43afe50-9fe8-4d11-9f4b-8bbfc0cbdbcc · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.727912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc8b81bc-a723-474f-af01-d653c3120d13 · outbound

This paper cites The llama 3 herd of models,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion The llama 3 herd of models,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.731591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d140c31-3774-4f21-8a22-8e7f2d21a603 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Gemini: A Family of Highly Capable Multimodal Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.734987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e41bddd-f14d-4ade-9bf7-22e1388798a3 · outbound

This paper cites Qwen Technical Report.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Qwen Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.739233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6a1b100-ab91-4923-9da0-ee42641112cd · outbound

This paper cites Baichuan 2: Open Large-scale Language Models.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Baichuan 2: Open Large-scale Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.743287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd106cb2-be20-465d-a7e6-aefb800ed204 · outbound

This paper cites ERNIE: Enhanced Representation through Knowledge Integration.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion ERNIE: Enhanced Representation through Knowledge Integration

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.748606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a7d1365-ba9a-4e10-8814-a763c3617b02 · outbound

This paper cites Multi-modal Fusion based Q-distribution Prediction for Controlled Nuclear Fusion.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Multi-modal Fusion based Q-distribution Prediction for Controlled Nuclear Fusion

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-08T18:39:27.030781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e3fa4171-8a64-42d6-80da-a9b3109e2619 · outbound

This paper cites Exploiting Memory-aware Q-distribution Prediction for Nuclear Fusion via Modern Hopfield Network.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Exploiting Memory-aware Q-distribution Prediction for Nuclear Fusion via Modern Hopfield Network

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-08T18:39:27.017040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2895ea57-da60-4989-9a3a-b020a14ce68d · outbound

This paper cites Optimization of modular and helical coils applying genetic algorithm and fully-three-dimensional b-spline curves,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Optimization of modular and helical coils applying genetic algorithm and fully-three-dimensional b-spline curves,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.640594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4b3603af-c699-42ef-9c15-9aecf946894b · outbound

This paper cites Real-time prediction of high-density east disruptions using random forest,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Real-time prediction of high-density east disruptions using random forest,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.629936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 24c8973f-34ba-4aaf-8603-347f057882eb · outbound

This paper cites Neural networks for reconstruction and uncertainty quantification of fast-ion phase-space distributions using fild and inpa measurements,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Neural networks for reconstruction and uncertainty quantification of fast-ion phase-space distributions using fild and inpa measurements,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.619223Z

Source-reported events for the cited work

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Observation 501a1e15-ebbe-4366-8246-235c28b1af11 · outbound

This paper cites Vertical instability prediction and its direction control using a support vector machine in integrated commissioning of jt-60sa solely based on mag- netics,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Vertical instability prediction and its direction control using a support vector machine in integrated commissioning of jt-60sa solely based on mag- netics,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.598411Z

Source-reported events for the cited work

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Observation 67ed1e29-8118-424b-a4f3-76dff82bb33c · outbound

This paper cites Surrogate model of turbulent transport in fusion plasmas using machine learning,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Surrogate model of turbulent transport in fusion plasmas using machine learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.587617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 302070e3-2cbd-4273-8f64-70edcf483af8 · outbound

This paper cites Experimental identification of ion cyclotron emission on hl-2a using yolo neural network algorithm,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Experimental identification of ion cyclotron emission on hl-2a using yolo neural network algorithm,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.577314Z

Source-reported events for the cited work

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Observation b491e80e-787a-4823-b5d1-df66c075acf7 · outbound

This paper cites You only look once: Unified, real-time object detection,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion You only look once: Unified, real-time object detection,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.785277Z

Source-reported events for the cited work

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Observation b5dd2596-b7c6-4f7f-8691-e9fab32bc163 · outbound

This paper cites Yolo9000: better, faster, stronger,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Yolo9000: better, faster, stronger,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.788648Z

Source-reported events for the cited work

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Observation 33098066-d84e-4d91-aca8-4270d7715a7e · outbound

This paper cites Yolov3: An incremental improvement,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Yolov3: An incremental improvement,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.792109Z

Source-reported events for the cited work

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Observation 7f6dd205-92ee-493d-bb15-b147eb192c5f · outbound

This paper cites A machine-learning-based tool for last closed-flux surface reconstruction on tokamaks,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion A machine-learning-based tool for last closed-flux surface reconstruction on tokamaks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.537974Z

Source-reported events for the cited work

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Observation e7c6e1ad-a62e-470e-8dcf-47b5c65627a8 · outbound

This paper cites Neural networks for estimation of divertor conditions in diii-d using c iii imaging,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Neural networks for estimation of divertor conditions in diii-d using c iii imaging,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.528197Z

Source-reported events for the cited work

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Observation 17babacf-cdf6-4630-842b-9ca14d4b9e53 · outbound

This paper cites Avoiding fusion plasma tearing instability with deep reinforcement learning,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Avoiding fusion plasma tearing instability with deep reinforcement learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.518225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3193d0dd-ff1d-4ecd-9248-b99d5efec918 · outbound

This paper cites Prediction of plasma rotation velocity and ion temperature profiles in east tokamak using artificial neural network models,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Prediction of plasma rotation velocity and ion temperature profiles in east tokamak using artificial neural network models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.507588Z

Source-reported events for the cited work

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Observation c7cc6793-8d49-4813-8b41-43bc0395be5b · outbound

This paper cites Efficient training sets for surrogate models of tokamak turbulence with active deep ensembles,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Efficient training sets for surrogate models of tokamak turbulence with active deep ensembles,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.497465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4f9a2947-1f02-4535-9aa0-c780c0de41e7 · outbound

This paper cites Tokamak edge localized mode onset prediction with deep neural network and pedestal turbulence,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Tokamak edge localized mode onset prediction with deep neural network and pedestal turbulence,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.486902Z

Source-reported events for the cited work

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Observation bd2aeb98-b189-4843-aaaa-8ffdcb09866f · outbound

This paper cites Reconstruction of plasma equilibrium and separatrix using convolutional physics-informed neural operator,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Reconstruction of plasma equilibrium and separatrix using convolutional physics-informed neural operator,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.608807Z

Source-reported events for the cited work

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Observation fd3b3f87-ac06-4dda-9d2d-76af0a713150 · outbound

This paper cites Impact of various diii-d diag- nostics on the accuracy of neural network surrogates for kinetic efit reconstructions,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Impact of various diii-d diag- nostics on the accuracy of neural network surrogates for kinetic efit reconstructions,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.548872Z

Source-reported events for the cited work

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Observation 56d81ec8-5e06-4553-b1c4-764b08005590 · outbound

This paper cites Real-time capable modeling of icrf heating on nstx and west via machine learning approaches,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Real-time capable modeling of icrf heating on nstx and west via machine learning approaches,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.475974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 99aecfb0-ea01-401f-82d7-230caad58e59 · outbound

This paper cites Automated experimental design of safe rampdowns via probabilistic machine learning,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Automated experimental design of safe rampdowns via probabilistic machine learning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.465364Z

Source-reported events for the cited work

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Observation 2b14e8fe-cf12-4b91-92fe-ca0097f2c41a · outbound

This paper cites Towards practical reinforcement learning for tokamak magnetic control,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Towards practical reinforcement learning for tokamak magnetic control,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.453619Z

Source-reported events for the cited work

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Observation 8dcd155c-5308-40df-8e19-2f1a11ab7b98 · outbound

This paper cites Disruption prediction on east with different wall conditions based on a multi-scale deep hybrid neural network,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Disruption prediction on east with different wall conditions based on a multi-scale deep hybrid neural network,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.440954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b8f582d-7441-41f9-8d01-cf06ecc2e137 · outbound

This paper cites Preemptive rmp-driven elm crash suppression automated by a real-time machine-learning classifier in kstar,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Preemptive rmp-driven elm crash suppression automated by a real-time machine-learning classifier in kstar,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.430470Z

Source-reported events for the cited work

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Observation 793d6a41-a34b-4a4d-b086-29c137b4ef77 · outbound

This paper cites Towards revealing the mystery behind chain of thought: a theoretical perspective,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Towards revealing the mystery behind chain of thought: a theoretical perspective,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.420116Z

Source-reported events for the cited work

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Observation d713aef2-1bde-48d4-b319-c462666f58df · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Training Large Language Models to Reason in a Continuous Latent Space

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.860317Z

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Observation d2c70843-27e6-4d6b-9b38-d4c040e97fba · outbound

This paper cites When do you need Chain-of-Thought Prompting for ChatGPT?.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion When do you need Chain-of-Thought Prompting for ChatGPT?

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.864954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86660cc0-2dd3-469b-946e-c78d96d2a221 · outbound

This paper cites What makes chain- of-thought prompting effective? a counterfactual study,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion What makes chain- of-thought prompting effective? a counterfactual study,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.409383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 173ef2ff-54f8-439b-adec-bcbda335e871 · outbound

This paper cites Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.873992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b09b16eb-50f3-40d1-8d74-e1dd01e07034 · outbound

This paper cites Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.878890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83fddc40-fa78-41bc-8c60-1f9080abe723 · outbound

This paper cites Chain of Thought Prompt Tuning in Vision Language Models.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Chain of Thought Prompt Tuning in Vision Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.883500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf42e130-0fbf-43fc-8f56-8210fdb458d9 · outbound

This paper cites Chain-of-Thought Prompting for Speech Translation.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Chain-of-Thought Prompting for Speech Translation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.888458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebc363e7-d40a-4be6-a522-d924d8305d6b · outbound

This paper cites A chain-of-thought prompting approach with llms for evaluating students’ formative assess- ment responses in science,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion A chain-of-thought prompting approach with llms for evaluating students’ formative assess- ment responses in science,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:39:27.397805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91da7f7c-b482-4205-a508-16d1d6155346 · outbound

This paper cites Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-08T18:39:26.898014Z

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This paper cites Structured chain-of-thought prompting for code generation,.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Structured chain-of-thought prompting for code generation,

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This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

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This paper cites DeepSeek-V3 Technical Report.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion DeepSeek-V3 Technical Report

Reference 2024

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Visible-Light Imaging Diagnosis of Neutral Particle Emission Tomography in the Tokamak Divertor: An Efficient Transformer-based Surrogate Model cites this paper.

Visible-Light Imaging Diagnosis of Neutral Particle Emission Tomography in the Tokamak Divertor: An Efficient Transformer-based Surrogate Model XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion

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