Paper Citation Record · LEDGER

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder

As of 23 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.16729.

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

pith.paper-citation-record.v1
2506.16729 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:23:09.735987Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy25
unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7d0cde28-a1c3-465c-9750-cfc0d717cdc5 · outbound

This paper cites an unresolved cited work.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:23:09.949969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 92aa8c05-7d83-438b-8ba7-b6371d94a4b9 · outbound

This paper cites Three-dimensional surround sound systems based on spherical harmonics,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Three-dimensional surround sound systems based on spherical harmonics,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.942022Z

Source-reported events for the cited work

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Observation e6e803d5-a9d3-425b-808e-cf479ea3c2b4 · outbound

This paper cites Sound field estima- tion: Theories and applications,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Sound field estima- tion: Theories and applications,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.932085Z

Source-reported events for the cited work

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Observation f241a07b-54cb-41db-ac5d-88ac7ee9d934 · outbound

This paper cites Sound field recording using distributed microphones based on harmonic analysis of infinite order,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Sound field recording using distributed microphones based on harmonic analysis of infinite order,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.922498Z

Source-reported events for the cited work

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Observation 3ca9fb4b-d065-4a81-8b7f-3cac8bea380c · outbound

This paper cites Direction- ally weighted wave field estimation exploiting prior information on source direction,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Direction- ally weighted wave field estimation exploiting prior information on source direction,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.913483Z

Source-reported events for the cited work

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Observation 16c121fa-64b6-405a-bf12-c6a9f6640393 · outbound

This paper cites Sound field reconstruction in rooms: Inpainting meets super-resolution,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Sound field reconstruction in rooms: Inpainting meets super-resolution,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.778944Z

Source-reported events for the cited work

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Observation 32dc3ef5-6407-46e3-960e-2af69c7bc9b5 · outbound

This paper cites Sound field reconstruction in rooms: Inpainting meets super-resolution,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Sound field reconstruction in rooms: Inpainting meets super-resolution,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.904161Z

Source-reported events for the cited work

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Observation 48ab9205-6047-429b-b8da-1b2e6eb3a14c · outbound

This paper cites Learning neural acoustic fields,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Learning neural acoustic fields,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.895077Z

Source-reported events for the cited work

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Observation 329e23ff-bfa4-448a-96ac-23408f76b17b · outbound

This paper cites Physics-informed machine learning for sound field estimation: Fundamentals, state of the art, and challenges,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Physics-informed machine learning for sound field estimation: Fundamentals, state of the art, and challenges,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.886240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 33ecc43f-d4e9-4df0-b819-f60b7106d291 · outbound

This paper cites Physics-informed machine learning for sound field estimation: Fundamentals, state of the art, and challenges,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Physics-informed machine learning for sound field estimation: Fundamentals, state of the art, and challenges,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.769173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 42910612-7211-46e3-a92c-f11be75dd670 · outbound

This paper cites Reconstruction of sound field through diffusion models,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Reconstruction of sound field through diffusion models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.877746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b6824e34-13cd-4742-b21d-d5653b1c627e · outbound

This paper cites Implicit neural representations with periodic activation functions,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Implicit neural representations with periodic activation functions,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.869018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e864ba6-d83a-4205-9b2b-3fd03bbfb76b · outbound

This paper cites Nerf: rep- resenting scenes as neural radiance fields for view synthesis,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Nerf: rep- resenting scenes as neural radiance fields for view synthesis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.859463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 05166f61-06f8-4e9e-8d46-a4a5c379fd99 · outbound

This paper cites Head-related transfer function interpolation from spatially sparse measurements 5 using autoencoder with source position condi- tioning,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Head-related transfer function interpolation from spatially sparse measurements 5 using autoencoder with source position condi- tioning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.850296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ca90e06c-5204-455f-ad6e-11934df88930 · outbound

This paper cites Sound field reconstruction using neural processes with dy- namic kernels,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Sound field reconstruction using neural processes with dy- namic kernels,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.840932Z

Source-reported events for the cited work

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Observation 47cf549e-c2e0-4cbc-8ba6-16409c22bc32 · outbound

This paper cites Deep prior approach for room impulse response reconstruction,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Deep prior approach for room impulse response reconstruction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.832699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b917090-367e-401c-bd69-d217c119337e · outbound

This paper cites Implicit neural representation with physics-informed neural networks for the reconstruction of the early part of room impulse responses,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Implicit neural representation with physics-informed neural networks for the reconstruction of the early part of room impulse responses,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.824586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bbcd7b66-66f6-4127-862b-4c7ea53701c7 · outbound

This paper cites Sound field estimation based on physics-constrained kernel interpolation adapted to environment,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Sound field estimation based on physics-constrained kernel interpolation adapted to environment,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.814641Z

Source-reported events for the cited work

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Observation 2a0a8db5-8414-4288-a1cc-0f6c6243f6b2 · outbound

This paper cites Physics- informed machine learning,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Physics- informed machine learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.804798Z

Source-reported events for the cited work

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Observation 1c757aaa-f8a5-4b7e-801f-c076a048fb72 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.797512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cda84892-1c27-4255-9467-0521314db288 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Reference 18

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Source-reported events for the cited work

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Observation d1f64b4c-06de-4ba5-a538-6bb9eabe8b6f · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Fourier features let networks learn high frequency functions in low dimensional domains,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:23:09.787824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation accf31c4-40c6-4a8d-afa4-2e996de815db · outbound

This paper cites Hypernetworks,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Hypernetworks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:43:19.354902Z

Source-reported events for the cited work

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Observation d25015c9-ff30-4220-b773-29347cab36a8 · outbound

This paper cites Prototypi- cal networks for fewshot learning,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Prototypi- cal networks for fewshot learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:43:19.164829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ce50edd-a8fa-4a96-af24-4ca1cf5ab80f · outbound

This paper cites Image method for efficiently simulating small-room acoustics,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Image method for efficiently simulating small-room acoustics,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:43:18.974525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bf68e65a-8a3c-4ee4-af13-68af7e7de54b · outbound

This paper cites Py- roomacoustics: A python package for audio room simulation and array processing algorithms,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Py- roomacoustics: A python package for audio room simulation and array processing algorithms,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:43:18.734753Z

Source-reported events for the cited work

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Observation 330ddfba-7ab6-41d1-8603-3571c9e2a5c9 · outbound

This paper cites Adam: A method for stochastic optimization,.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Adam: A method for stochastic optimization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:43:18.454747Z

Source-reported events for the cited work

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Observation e67d938c-aba4-4c2a-b97b-bc636588a937 · outbound

This paper cites an unresolved cited work.

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:43:18.195362Z

Source-reported events for the cited work

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Observation 6661644b-0e67-48a4-9e69-d13779ea8dfd · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder Deep Learning using Rectified Linear Units (ReLU)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T19:23:09.735987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.