Paper Citation Record · LEDGER

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery

As of 12 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2606.17852.

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

pith.paper-citation-record.v1
2606.17852 v1

Coverage vector

measured 40 of 40 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-27T00:51:42.315349Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

40 of 40 outbound references displayed

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verified fuzzy0
unresolved36
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External citation measurements

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Outbound references

Observation bdf5a5b7-a9e6-420a-a4e7-92ac72f60a6a · outbound

This paper cites Kittel,Introduction to Solid State Physics.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Kittel,Introduction to Solid State Physics

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 46437bd5-9168-4196-b904-d2f042482b17 · outbound

This paper cites Better than classical? The subtle art of benchmarking quantum machine learning models.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Better than classical? The subtle art of benchmarking quantum machine learning models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:08:58.606679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 27fd5742-7d88-433c-828f-9c68a7f29a95 · outbound

This paper cites an unresolved cited work.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 38df0c0f-5cf4-4568-b1c2-112324abb7f6 · outbound

This paper cites Kohn and L.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Kohn and L

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 1bbe6abf-d989-4800-9c99-135c41e9d671 · outbound

This paper cites an unresolved cited work.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 95397740-6bb9-491f-a58f-ac0c9e6552f2 · outbound

This paper cites Jain et al., ”Commentary: The Materials Project: A materials genome approach to accelerating materials innovation,”APL Materials, vol.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Jain et al., ”Commentary: The Materials Project: A materials genome approach to accelerating materials innovation,”APL Materials, vol

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation a4c29158-e0cd-4ed9-836d-b266f5fa4006 · outbound

This paper cites Ramprasad et al., ”Machine learning in materials informatics: recent applications and prospects,”npj Computational Materials, vol.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Ramprasad et al., ”Machine learning in materials informatics: recent applications and prospects,”npj Computational Materials, vol

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation bbc492d3-b18c-43c0-b104-10c4427f014a · outbound

This paper cites Goodfellow et al., ”Generative Adversarial Nets,”Advances in Neural Information Processing Systems, vol.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Goodfellow et al., ”Generative Adversarial Nets,”Advances in Neural Information Processing Systems, vol

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation c3edce9b-0793-40af-9d7b-7ab9a6c385a3 · outbound

This paper cites Nouira et al., ”CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks,”AAAI Conference on Artificial Intelligence, 2020.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Nouira et al., ”CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks,”AAAI Conference on Artificial Intelligence, 2020

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation cffc524e-c35f-48ef-9423-0e59063e74cb · outbound

This paper cites Xie et al., ”Crystal Diffusion Variational Autoencoder for Periodic Material Generation,”ICLR, 2022.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Xie et al., ”Crystal Diffusion Variational Autoencoder for Periodic Material Generation,”ICLR, 2022

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation a8fec0c4-9917-4ec9-858b-7583b9e33789 · outbound

This paper cites Arora et al., ”Do GANs actually learn the distribution? An empirical study,”ICLR, 2018.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Arora et al., ”Do GANs actually learn the distribution? An empirical study,”ICLR, 2018

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 06d47409-2fd9-4feb-a9c0-457b573da8e6 · outbound

This paper cites Arjovsky, S.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Arjovsky, S

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation d96fe7d4-2c32-48e8-89a7-0aca554dff84 · outbound

This paper cites Dallaire-Demers and N.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Dallaire-Demers and N

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation b7310a66-5e98-4681-a99c-6211b1996cb3 · outbound

This paper cites Benedetti et al., ”Parameterized quantum circuits as machine learning models,”Quantum Science and Technology, vol.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Benedetti et al., ”Parameterized quantum circuits as machine learning models,”Quantum Science and Technology, vol

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 98275a12-3014-461d-bed8-0a7688cdba25 · outbound

This paper cites Zoufal, A.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Zoufal, A

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 410612ea-d93c-4900-9631-47aa4e2c8846 · outbound

This paper cites Sitzmann et al., ”Implicit Neural Representations with Periodic Activation Functions,”NeurIPS, 2020.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Sitzmann et al., ”Implicit Neural Representations with Periodic Activation Functions,”NeurIPS, 2020

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 96041a95-45a5-4172-9de8-09c630c1e64d · outbound

This paper cites Schuld, R.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Schuld, R

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 366fc3e2-6d6c-4204-b5a6-2894dc9128b0 · outbound

This paper cites Tancik et al., ”Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains,”NeurIPS, 2020.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Tancik et al., ”Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains,”NeurIPS, 2020

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 444df7c0-a509-4424-b8b8-3bd23bf356fe · outbound

This paper cites Huang et al., ”Quantum Implicit Neural Representations,”arXiv preprint arXiv:2305.xxxx, 2023.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Huang et al., ”Quantum Implicit Neural Representations,”arXiv preprint arXiv:2305.xxxx, 2023

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 425f0be5-eb55-4428-b2dc-978f39f78da2 · outbound

This paper cites Li et al., ”Quantum Generative Models for Small Molecule Drug Discovery,”IEEE Transactions on Quantum Engineering, 2021.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Li et al., ”Quantum Generative Models for Small Molecule Drug Discovery,”IEEE Transactions on Quantum Engineering, 2021

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 0b1f4ae5-ff97-47bd-9894-a10315b3206a · outbound

This paper cites Zhang et al., ”Quantum Machine Learning for Image Synthesis,” CVPR, 2022.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Zhang et al., ”Quantum Machine Learning for Image Synthesis,” CVPR, 2022

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation fb1b1e6d-e23f-4a7c-8dd0-2127e4910c59 · outbound

This paper cites an unresolved cited work.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 01221bec-de5d-4568-9a68-41d8a2c603bb · outbound

This paper cites Hoogeboom et al., ”Equivariant Diffusion for Molecule Generation in 3D,”ICML, 2022.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Hoogeboom et al., ”Equivariant Diffusion for Molecule Generation in 3D,”ICML, 2022

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation dabdc730-1781-4ec2-94b6-ff34a7dd7ef9 · outbound

This paper cites Schuld et al., ”Evaluating analytic gradients on quantum hardware,” Physical Review A, vol.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Schuld et al., ”Evaluating analytic gradients on quantum hardware,” Physical Review A, vol

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 91b99bb9-5191-44cb-85ec-aeeee8845d4e · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-03T21:08:58.609667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e506a613-a929-4872-99da-2203e5917cfa · outbound

This paper cites an unresolved cited work.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation eb6c6404-3c29-46c7-856d-e63d59e363e8 · outbound

This paper cites P ´erez-Salinas et al., ”Data re-uploading for a universal quantum classifier,”Quantum, vol.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery P ´erez-Salinas et al., ”Data re-uploading for a universal quantum classifier,”Quantum, vol

Reference 27

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Observation 5b0a1b81-a733-466e-8049-69b9a5fe4b9c · outbound

This paper cites Gulrajani et al., ”Improved Training of Wasserstein GANs,”NeurIPS, 2017.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Gulrajani et al., ”Improved Training of Wasserstein GANs,”NeurIPS, 2017

Reference 28

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Observation 26b7f2eb-0252-4c01-bc30-7c2cc987684f · outbound

This paper cites Heusel, H.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Heusel, H

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 99e29f41-d0f7-4fc3-9212-b7edefb3dac6 · outbound

This paper cites Wang et al., ”Image quality assessment: from error visibility to structural similarity,”IEEE Transactions on Image Processing, 2004.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Wang et al., ”Image quality assessment: from error visibility to structural similarity,”IEEE Transactions on Image Processing, 2004

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 20ceb2cc-c2c8-4c2e-886a-0b2b142ed4c5 · outbound

This paper cites Deng et al., ”CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling,”Nature Machine Intelligence, 2023.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Deng et al., ”CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling,”Nature Machine Intelligence, 2023

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation ba6a9273-4043-43c5-8c19-db81c2f3ff51 · outbound

This paper cites Batatia et al., ”MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields,”NeurIPS, 2022.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Batatia et al., ”MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields,”NeurIPS, 2022

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation bc211e81-16da-4db0-a1db-d4b378b6dac0 · outbound

This paper cites Preskill, ”Quantum Computing in the NISQ era and beyond,”Quan- tum, vol.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Preskill, ”Quantum Computing in the NISQ era and beyond,”Quan- tum, vol

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 501ec53c-3185-4ca1-b0b4-89b3414a26d8 · outbound

This paper cites an unresolved cited work.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Unresolved cited work

Reference 34

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Observation b23d59b9-28be-4f57-8e03-9b7e103a9fc8 · outbound

This paper cites A Survey of Quantum Generative Adversarial Networks: Architectures, Use Cases, and Real-World Implementations.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery A Survey of Quantum Generative Adversarial Networks: Architectures, Use Cases, and Real-World Implementations

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:08:58.603697Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f06d9cb9-76f9-426e-bb7a-d3d281d64ec8 · outbound

This paper cites Singh, A.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Singh, A

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:08:58.600763Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 116fb4d9-fc88-4abd-8700-f3f4801ec269 · outbound

This paper cites an unresolved cited work.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Unresolved cited work

Reference 37

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Observation 250ffaee-1d1d-4fd1-8c19-e5e8e8e87a44 · outbound

This paper cites Wang et al., ”Noise-induced barren plateaus in variational quantum algorithms,”Nature Communications, vol.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Wang et al., ”Noise-induced barren plateaus in variational quantum algorithms,”Nature Communications, vol

Reference 38

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Observation f62e7675-a6f9-43e9-88fb-8d78f65ddc85 · outbound

This paper cites an unresolved cited work.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-27T00:51:42.315349Z

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Observation 14de68e4-91b1-4543-8388-a804263fad3e · outbound

This paper cites Parigi, ”Quantum Diffusion Models for Generative AI towards real- world applications,” Ph.D.

Split-Head Quantum Generative Adversarial Network for Crystalline Material Discovery Parigi, ”Quantum Diffusion Models for Generative AI towards real- world applications,” Ph.D

Reference 40

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Pith citing papers

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