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Paper Citation Record · LEDGER

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations

As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2504.19053.

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

pith.paper-citation-record.v1
2504.19053 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:08:29.268552Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:29:24.739822Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T00:29:24.907347Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact5
  • verified fuzzy2
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77e4f774-eadd-4775-b57c-f440669760e0 · outbound

This paper cites Implicit Neural Representations with Periodic Activation Functions.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Implicit Neural Representations with Periodic Activation Functions

Reference 1

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source=arxiv_source observed=2026-08-16T10:08:28.839835Z digest=sha256:6feab655d5a8061ce7406a5b5f6ac3a8fdb55a54ece04fe359ebdbb5ada3e117

Observation e2b247f9-066f-45a2-91b9-76d66f8fe7b2 · outbound

This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Reference 2

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source=arxiv_source observed=2026-08-16T10:08:28.857926Z digest=sha256:5a3d7793c5a92bc9cd09f7eee5f5960444ea0c24afa3db187db553343eada69c

Observation d1cf6278-adb7-40f2-9d9f-3a7935c74305 · outbound

This paper cites Sinr: Spline-enhanced implicit neural representation for multi-modal registration.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Sinr: Spline-enhanced implicit neural representation for multi-modal registration

Reference 3

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:08:28.891378Z digest=sha256:a0532647dec813f2aa75a499b8b6cca9f1a4be84f6b7bbf22a869003d3df337f

Observation 02e91439-6b5b-4a2a-9922-888b42960576 · outbound

This paper cites Implicit Neural Representation in Medical Imaging: A Comparative Survey.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Implicit Neural Representation in Medical Imaging: A Comparative Survey

Reference 4

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source=arxiv_source observed=2026-08-16T10:08:29.030334Z digest=sha256:2847283c4b8a274043dbbfafa153537a7d4dc0df1e763cf639b5f5248cacabfa

Observation 1451ee07-c22f-4938-85b0-1eea7ee45ab5 · outbound

This paper cites Neural Radiance Fields in Medical Imaging: A Survey.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Neural Radiance Fields in Medical Imaging: A Survey

Reference 5

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source=arxiv_source observed=2026-08-16T10:08:29.035927Z digest=sha256:9642346ab949ee57e634039cc41fc4d2f46e3a64db6daf5efb61fafce6300737

Observation 1c81e3bb-a241-4225-819e-8e4647a087dd · outbound

This paper cites I-MedSAM: Implicit Medical Image Segmentation with Segment Anything.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations I-MedSAM: Implicit Medical Image Segmentation with Segment Anything

Reference 6

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source=arxiv_source observed=2026-08-16T10:08:29.040880Z digest=sha256:3132158cd62b956e828deaed2d61580d14062d62b487258d48e2d5931d022087

Observation 5ca48385-a9b7-421e-ba52-815a79b827d1 · outbound

This paper cites Seeing Implicit Neural Representations as Fourier Series.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Seeing Implicit Neural Representations as Fourier Series

Reference 7

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local_arxiv, observed 2026-08-16T10:08:30.273670Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T10:08:29.045145Z digest=sha256:ff4d95df238685f3d14137a84a29250bbabaf2776f1417eab221150e8cc15fd0

Observation 77b796bc-f056-4822-82c4-e0491dcd7186 · outbound

This paper cites Benchmarking MedMNIST dataset on real quantum hardware.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Benchmarking MedMNIST dataset on real quantum hardware

Reference 8

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source=arxiv_source observed=2026-08-16T10:08:29.048885Z digest=sha256:9cfb6003918a4212086e3df198305d06ef1e53508ca912aeac6356faf24ac1d4

Observation b093b247-5426-48e1-ac5d-c7108af98adf · outbound

This paper cites Effect of data encoding on the expressive power of variational quantum-machine-learning models.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Effect of data encoding on the expressive power of variational quantum-machine-learning models

Reference 9

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source=arxiv_source observed=2026-08-16T10:08:29.052942Z digest=sha256:6abff11027d10f6bebb8185b8847adf006581ee08485a423cd80d6c0aa69397c

Observation 214e5adb-2e7a-4e4d-b54b-b21f954d6dde · outbound

This paper cites On the Spectral Bias of Neural Networks.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations On the Spectral Bias of Neural Networks

Reference 10

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source=arxiv_source observed=2026-08-16T10:08:29.056233Z digest=sha256:d254e28d411b79be9031bd1fae7daffe7af4fa9e85e44897423dbbed7891c34b

Observation 7a0d4130-e1fa-4fbb-9d49-04180d400098 · outbound

This paper cites WIRE: Wavelet Implicit Neural Representations.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations WIRE: Wavelet Implicit Neural Representations

Reference 11

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source=arxiv_source observed=2026-08-16T10:08:29.060637Z digest=sha256:72a4d748949a266b07425f087092bd6c1a4a4d32baa35cfad4ee28193e4a1c7d

Observation 2bf59728-43fb-4576-b101-08f233a51307 · outbound

This paper cites DINER: Disorder-Invariant Implicit Neural Representation.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations DINER: Disorder-Invariant Implicit Neural Representation

Reference 12

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local_arxiv, observed 2026-08-16T10:08:29.909676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:08:29.064643Z digest=sha256:3a84faaa12cba555f07e62bc35b99685b4dcf8d54006476e395291cf7c46de48

Observation bba5acfe-978f-4dc3-918c-f7dd5e720028 · outbound

This paper cites IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation

Reference 13

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source=arxiv_source observed=2026-08-16T10:08:29.069626Z digest=sha256:cb035baef3db2b844a4800a1dd15aba97f18f1c11152d87c5dff9ba7256dc6f6

Observation 2a4834ec-89e4-4148-bf08-e328c566bbba · outbound

This paper cites An arbitrary scale super-resolution approach for 3d mr images via implicit neural representation.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations An arbitrary scale super-resolution approach for 3d mr images via implicit neural representation

Reference 14

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source=arxiv_source observed=2026-08-16T10:08:29.073493Z digest=sha256:57149b09174cf8b6361a83a81595a9a2fe6191893138054a1c57c9e9587e0602

Observation 17f02fdb-cada-4a56-b332-7eca9a025573 · outbound

This paper cites Convolutional Occupancy Networks.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Convolutional Occupancy Networks

Reference 15

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source=arxiv_source observed=2026-08-16T10:08:29.077979Z digest=sha256:ae452684938145baff187d47aa8ce81e62ab5c6d95b9ebd68a34d3a7f61c2c85

Observation 291c4e3c-3d9d-407a-ab96-cde93174f046 · outbound

This paper cites NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Reference 16

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source=arxiv_source observed=2026-08-16T10:08:29.082155Z digest=sha256:d048a9d3f54fe01f20d216e611bf0ff34168b3192171ecfd2dc98ba7dfe09971

Observation c6856a45-4dae-4272-b881-a29e2c286f97 · outbound

This paper cites Neural Implicit Representation for Highly Dynamic LiDAR Mapping and Odometry.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Neural Implicit Representation for Highly Dynamic LiDAR Mapping and Odometry

Reference 17

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local_arxiv, observed 2026-08-16T10:08:29.568124Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:08:29.101804Z digest=sha256:44258641c3e8b4ad4a1703290931521c25073f3d4c1e7ef863cca0cfa3eaa843

Observation 26428292-b3ff-4bf2-b0ea-3dee10f77682 · outbound

This paper cites Pezzoli, F.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Pezzoli, F

Reference 18

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:08:29.138284Z digest=sha256:db7799976f512fe958680ab4aceb1953bc97c6e5ca3e5f47169bb9c4fae514ad

Observation df93025c-fabf-44e9-bcbf-a4e0bd2dca7b · outbound

This paper cites HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks

Reference 19

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source=arxiv_source observed=2026-08-16T10:08:29.208978Z digest=sha256:97002563b9a07294c28dffc8de62c267e501ebdff4abc88b66c89fd19bedaae9

Observation a28cf992-42b7-466a-a625-2bd80aac8588 · outbound

This paper cites Hinerv: Video compression with hierarchical encoding-based neural representation.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Hinerv: Video compression with hierarchical encoding-based neural representation

Reference 20

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T10:08:29.217929Z digest=sha256:76de2d4925c737344e777dee1d1422cef3402ba8b43952f1bf1faefdd2fcb8a6

Observation 8be9d37c-f279-4d3a-a123-fa04873c9e38 · outbound

This paper cites ReLUs Are Sufficient for Learning Implicit Neural Representations.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations ReLUs Are Sufficient for Learning Implicit Neural Representations

Reference 21

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source=arxiv_source observed=2026-08-16T10:08:29.221799Z digest=sha256:f459c30eb49d1558a2b8365d68e369039bdff0af0df2ebc1979fdc605b7303d0

Observation ed3684c9-e6d3-4f22-9f7f-8d5c92ad0acb · outbound

This paper cites FINER: Flexible spectral-bias tuning in Implicit NEural Representation by Variable-periodic Activation Functions.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations FINER: Flexible spectral-bias tuning in Implicit NEural Representation by Variable-periodic Activation Functions

Reference 22

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source=arxiv_source observed=2026-08-16T10:08:29.225603Z digest=sha256:14b938827f39e7c67338b18c18df60c05cbecd7cb28bc9e97fd89ae40cff13ac

Observation 673a34aa-8114-4b0c-9fb5-1b736022e4b0 · outbound

This paper cites an unresolved cited work.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-16T10:08:29.229518Z digest=sha256:c02812ba121a8692d9f606571a6b0092d88db34d37dc4efaa93a0ce7a0825c4a

Observation 6dcb059a-1b93-4f05-9ddc-cdc1a7d94418 · outbound

This paper cites Quantum Implicit Neural Representations.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Quantum Implicit Neural Representations

Reference 24

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source=arxiv_source observed=2026-08-16T10:08:29.233284Z digest=sha256:40851f16713ac1f8d4a311c1fc7d09eff3d05bc6699c45a8ebbb94225591dfcf

Observation 3a64427b-0760-4967-871f-16f4bd5e8bf2 · outbound

This paper cites Constrained and Vanishing Expressivity of Quantum Fourier Models.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Constrained and Vanishing Expressivity of Quantum Fourier Models

Reference 25

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source=arxiv_source observed=2026-08-16T10:08:29.237619Z digest=sha256:0eb8bd2805270e267b47dcee3a82cb0944c61105b3543f6ce3a2874237310a01

Observation 613d6276-1ba0-4593-9690-44e1596aef9e · outbound

This paper cites Classically Approximating Variational Quantum Machine Learning with Random Fourier Features.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Classically Approximating Variational Quantum Machine Learning with Random Fourier Features

Reference 26

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source=arxiv_source observed=2026-08-16T10:08:29.241347Z digest=sha256:08a8f5a104004bf8d9b24a5f82e30ab2d2554a1c06e6c875722d1c69a8092be1

Observation 90d8f8dc-7217-4bc4-a841-fcea8f506af8 · outbound

This paper cites an unresolved cited work.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-16T10:08:29.245126Z digest=sha256:fecad6b7c5d424490f9f2b460e9b80b760261d8ab401d1184541d573cd93e7c2

Observation c1039ee2-292b-41b1-89ed-eb6f683aab9d · outbound

This paper cites Generalization despite overfitting in quantum machine learning models.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Generalization despite overfitting in quantum machine learning models

Reference 28

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source=arxiv_source observed=2026-08-16T10:08:29.248811Z digest=sha256:552c5fd32bd5137ce9a4923296acd1042c279b049bfce36900d855d672d1a7aa

Observation fe3dbe9b-876b-4b3a-a46c-ce6cf2d9b954 · outbound

This paper cites Gentile, Youssef Achari Berrada, Elvira Shishenina, and Vincent E.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Gentile, Youssef Achari Berrada, Elvira Shishenina, and Vincent E

Reference 29

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source=arxiv_source observed=2026-08-16T10:08:29.252305Z digest=sha256:483b8526c1187bdf5763b0f165d9585666c464c49873c59e23d321d1d04ea0e5

Observation 4c536b36-0ad2-4c27-a782-14f3bcdcf85c · outbound

This paper cites Multidimensional fourier series with quantum circuits.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Multidimensional fourier series with quantum circuits

Reference 30

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source=arxiv_source observed=2026-08-16T10:08:29.255696Z digest=sha256:030c9bd2abc54f55667e4d7f497a974477c14b9d16c72efba907c82719472b69

Observation 9c58277e-195f-4876-810f-282e0db765f1 · outbound

This paper cites Improved Implicit Neural Representation with Fourier Reparameterized Training.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Improved Implicit Neural Representation with Fourier Reparameterized Training

Reference 31

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source=arxiv_source observed=2026-08-16T10:08:29.260508Z digest=sha256:e3dc86006112700c524e46eb8632e74c0353d26ec9ef6589f8f69e31b8b12bc0

Observation 87c912ed-ff6a-491d-81ab-d88650a90d55 · outbound

This paper cites \'Eliv\'agar: Efficient Quantum Circuit Search for Classification.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations \'Eliv\'agar: Efficient Quantum Circuit Search for Classification

Reference 32

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local_arxiv, observed 2026-08-16T10:08:29.389699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:08:29.264193Z digest=sha256:f1672d2ccf143883274367499641a2dc14a9552ce62c9640d08b95b8fad5a2c9

Observation 96ff70b9-0058-4533-99a4-bdc494e3feb5 · outbound

This paper cites Medmnist v2 - a large-scale lightweight benchmark for 2d and 3d biomedical image classification.

QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Medmnist v2 - a large-scale lightweight benchmark for 2d and 3d biomedical image classification

Reference 33

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source=arxiv_source observed=2026-08-16T10:08:29.268552Z digest=sha256:2ac5799e8f364780c647361902b61ce28ef4f55027f847c1802f6278fa99385e

Pith citing papers

Observation 918d45e2-9b7a-4bda-98ee-2763dd6094c4 · inbound

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation cites this paper.

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations

Reference 2025

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local_arxiv, observed 2026-08-16T00:29:24.912299Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:29:24.739822Z digest=sha256:04f5163d583573a01f4b1dea0f8678ca60216d2616859b4927975e93131a0435