Paper Citation Record · LEDGER

Implicit Neural Representations with Periodic Activation Functions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2006.09661.

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

pith.paper-citation-record.v1
2006.09661 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 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 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:39:38.516175Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

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verified exact0
verified fuzzy0
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External citation measurements

263
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5e9fabc0-724f-435a-8f1b-e0a9d7f82c5a · inbound

Fourier Neural Operator for Parametric Partial Differential Equations cites this paper.

Fourier Neural Operator for Parametric Partial Differential Equations Implicit Neural Representations with Periodic Activation Functions

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:59:03.541801Z

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 78fccdff-dc7c-4e4f-9658-5e86291284bc · inbound

Deep Learning Alternatives of the Kolmogorov Superposition Theorem cites this paper.

Deep Learning Alternatives of the Kolmogorov Superposition Theorem Implicit Neural Representations with Periodic Activation Functions

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:58:23.482131Z

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 d6ab7378-c982-47ca-a23a-3518d1025e33 · inbound

Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation cites this paper.

Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation Implicit Neural Representations with Periodic Activation Functions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T23:39:38.516175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 305eef36-88dc-47d0-8120-cd0ca5439f1c · inbound

SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks cites this paper.

SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks Implicit Neural Representations with Periodic Activation Functions

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:59.016079Z

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Observation ddc542db-995c-484f-827a-cf73cebebb9f · inbound

Super-temporal-resolution Photoacoustic Imaging with Dynamic Reconstruction through Implicit Neural Representation in Sparse-view cites this paper.

Super-temporal-resolution Photoacoustic Imaging with Dynamic Reconstruction through Implicit Neural Representation in Sparse-view Implicit Neural Representations with Periodic Activation Functions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:57:24.242218Z

Source-reported events for the cited work

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Observation 71d5639f-1f68-4d8f-aac4-8a55c2e9d15b · inbound

Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction cites this paper.

Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction Implicit Neural Representations with Periodic Activation Functions

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:05:27.039316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f5167d7-6713-48dd-91da-052afb6cda2c · inbound

Brain-wide interpolation and conditioning of gene expression in the human brain using Implicit Neural Representations cites this paper.

Brain-wide interpolation and conditioning of gene expression in the human brain using Implicit Neural Representations Implicit Neural Representations with Periodic Activation Functions

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:04.307309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d412d591-a0ff-4677-bd01-144ec0fe6bb8 · inbound

Physics-Guided Dual Implicit Neural Representations for Source Separation cites this paper.

Physics-Guided Dual Implicit Neural Representations for Source Separation Implicit Neural Representations with Periodic Activation Functions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:36.990486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1de3a045-9497-4f3b-be6e-a738cc62ce5b · inbound

Assessing Learned Models for Phase-only Hologram Compression cites this paper.

Assessing Learned Models for Phase-only Hologram Compression Implicit Neural Representations with Periodic Activation Functions

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:49.278216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1818998c-8f62-41c3-8320-159896b8999f · inbound

Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration cites this paper.

Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration Implicit Neural Representations with Periodic Activation Functions

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T19:32:58.634102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1163efc1-d094-4b7c-a8ad-1614f7866e22 · inbound

Deformable Medical Image Registration with KAN-based Implicit Neural Representations cites this paper.

Deformable Medical Image Registration with KAN-based Implicit Neural Representations Implicit Neural Representations with Periodic Activation Functions

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:24.792265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0234a037-0a7c-49a5-8309-4d53af53d97b · inbound

Exterior complex scaling enables physics-informed neural networks for quantum scattering cites this paper.

Exterior complex scaling enables physics-informed neural networks for quantum scattering Implicit Neural Representations with Periodic Activation Functions

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T04:38:51.238818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b92308c-07c8-41d9-b442-c6c6519761ec · inbound

Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization cites this paper.

Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization Implicit Neural Representations with Periodic Activation Functions

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T23:58:40.131335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd0c6089-4571-4d1e-9f32-ac4c5d75fd25 · inbound

DiV-INR: Extreme Low-Bitrate Diffusion Video Compression with INR Conditioning cites this paper.

DiV-INR: Extreme Low-Bitrate Diffusion Video Compression with INR Conditioning Implicit Neural Representations with Periodic Activation Functions

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:00:46.294508Z

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 fa1a6d11-f2c3-418e-90aa-764c2ca10c93 · inbound

Gaussian Field Representations for Turbulent Flow: Compression, Scale Separation, and Physical Fidelity cites this paper.

Gaussian Field Representations for Turbulent Flow: Compression, Scale Separation, and Physical Fidelity Implicit Neural Representations with Periodic Activation Functions

Reference 19

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T00:41:06.541894Z

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 d6c62750-937a-447c-8870-d3897469fc27 · inbound

Physics-Informed Neural Networks for Solving Two-Flavor Neutrino Oscillations in Vacuum and Matter Environments for Atmospheric and Reactor Neutrinos cites this paper.

Physics-Informed Neural Networks for Solving Two-Flavor Neutrino Oscillations in Vacuum and Matter Environments for Atmospheric and Reactor Neutrinos Implicit Neural Representations with Periodic Activation Functions

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:16:21.616086Z

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 335b661e-381b-44c0-bd0a-72742c7baefc · inbound

Physics-Informed Neural Networks for Solving Two-Flavor Neutrino Oscillations in Vacuum and Matter Environments for Atmospheric and Reactor Neutrinos cites this paper.

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:18:04.063214Z

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 16c61364-ce00-4051-8687-62f3aede7911 · inbound

First Shape, Then Meaning: Efficient Geometry and Semantics Learning for Indoor Reconstruction cites this paper.

First Shape, Then Meaning: Efficient Geometry and Semantics Learning for Indoor Reconstruction Implicit Neural Representations with Periodic Activation Functions

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T11:01:30.779196Z

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 d9abd7dc-9920-4a02-bcf6-165b5b7bebe3 · inbound

Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement cites this paper.

Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement Implicit Neural Representations with Periodic Activation Functions

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:51:07.866080Z

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 96f0ee37-993d-4a28-802d-485e3409fa94 · inbound

Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement cites this paper.

Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement Implicit Neural Representations with Periodic Activation Functions

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:20:58.584044Z

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 f7503a40-d2a2-4ff2-8b0f-ae367d86d05c · inbound

IV-Net: A neural network for elliptic PDEs with random and highly varying coefficients cites this paper.

IV-Net: A neural network for elliptic PDEs with random and highly varying coefficients Implicit Neural Representations with Periodic Activation Functions

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:54:03.226722Z

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 00ab16db-07e3-4798-9031-54552ae1033f · inbound

SurfSurg6D: Geometry Consistent Dense Correspondence for Textureless Surgical Instrument Pose Estimation cites this paper.

SurfSurg6D: Geometry Consistent Dense Correspondence for Textureless Surgical Instrument Pose Estimation Implicit Neural Representations with Periodic Activation Functions

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:44:01.621507Z

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 2043ef00-d3e0-4669-8eae-7d4e7a21e60c · inbound

Chebyshev Manifold Adaptation cites this paper.

Chebyshev Manifold Adaptation Implicit Neural Representations with Periodic Activation Functions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T18:15:53.160249Z

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Observation 2225d0cf-4697-4b08-ab3f-62e51485ba4a · inbound

PRIME-SVR: Physics-infoRmed Implicit Multi-Echo Slice-to-Volume Reconstruction for Fetal T2 mapping cites this paper.

PRIME-SVR: Physics-infoRmed Implicit Multi-Echo Slice-to-Volume Reconstruction for Fetal T2 mapping Implicit Neural Representations with Periodic Activation Functions

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T10:44:02.905740Z

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Observation 00f11307-acab-4ffd-9bbf-39281f7ec201 · inbound

From Scalars to Time Series: Rethinking Implicit Neural Representations for Time-Varying Volumetric Data cites this paper.

From Scalars to Time Series: Rethinking Implicit Neural Representations for Time-Varying Volumetric Data Implicit Neural Representations with Periodic Activation Functions

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T08:57:42.877228Z

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Unavailable: canonical work link unavailable.

Observation 8d4a93e8-1486-44c0-8ce0-39d56cadbace · inbound

Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms cites this paper.

Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms Implicit Neural Representations with Periodic Activation Functions

Reference 106

Resolution: unresolved; no resolver link, observed 2026-07-31T04:58:17.000256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c1c3849-7922-4237-b8d4-dc74655bec1e · inbound

Cosmo-SPINN: Fuzzy Dark Matter Simulations with Physics-Informed Generative Networks cites this paper.

Cosmo-SPINN: Fuzzy Dark Matter Simulations with Physics-Informed Generative Networks Implicit Neural Representations with Periodic Activation Functions

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-31T02:27:16.996383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.