Paper Citation Record · LEDGER

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation

As of 20 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2506.00471.

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

pith.paper-citation-record.v1
2506.00471 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:04.790665Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

34 of 34 outbound references displayed

verified exact1
verified fuzzy24
unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 877f5927-30cc-4a20-9b99-1270605a9af7 · outbound

This paper cites Seismic modeling.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Seismic modeling

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:11.047179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 099d3951-23db-4857-8724-845817a23fc0 · outbound

This paper cites Full seismic waveform modelling and inversion.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Full seismic waveform modelling and inversion

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:10.868674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d6575c30-6b22-4246-a1e6-b39e6f00f2bc · outbound

This paper cites Sh-wave propagation in heterogeneous media: Velocity-stress finite-difference method.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Sh-wave propagation in heterogeneous media: Velocity-stress finite-difference method

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:01.454186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6663ce73-d0c3-4e80-bdb8-a3b2753acfb0 · outbound

This paper cites P-sv wave propagation in heterogeneous media: Velocity-stress finite-difference method.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation P-sv wave propagation in heterogeneous media: Velocity-stress finite-difference method

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:01.633401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d04d483-5e5d-46b8-b749-64358981cb67 · outbound

This paper cites 3d heterogeneous staggered-grid finite-difference modeling of seismic motion with volume harmonic and arithmetic averaging of elastic moduli and densities.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation 3d heterogeneous staggered-grid finite-difference modeling of seismic motion with volume harmonic and arithmetic averaging of elastic moduli and densities

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:10.709353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 74c58ed3-83da-459a-bd98-d1088fb13741 · outbound

This paper cites Viscoelastic finite-difference modeling.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Viscoelastic finite-difference modeling

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:02.060710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 052c5080-c57a-4e48-b223-49f581780489 · outbound

This paper cites Low and high order finite element method: experience in seismic modeling.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Low and high order finite element method: experience in seismic modeling

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:10.442937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 87cf53c8-69e5-4b93-9f3f-0dacb56c3779 · outbound

This paper cites Finite-element simulation of seismic ground motion with a voxel mesh.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Finite-element simulation of seismic ground motion with a voxel mesh

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:10.157823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 994d192d-f000-4662-8aca-c79b84e99a84 · outbound

This paper cites Modeling acoustic wave propagation in heterogeneous attenuating media using decoupled fractional laplacians.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Modeling acoustic wave propagation in heterogeneous attenuating media using decoupled fractional laplacians

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:09.871229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b19d0c3a-ada5-42bc-89cc-6b429628770f · outbound

This paper cites Propagating seismic waves in vti attenuating media using fractional viscoelastic wave equation.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Propagating seismic waves in vti attenuating media using fractional viscoelastic wave equation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:02.575173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdb2a71f-e98d-4169-af2b-0e9bfbd928be · outbound

This paper cites A graphics processing unit implementation of time-domain full-waveform inversion.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation A graphics processing unit implementation of time-domain full-waveform inversion

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:09.678013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13e57503-6c6f-47d5-a284-a575ca468979 · outbound

This paper cites Cu q-rtm: A cuda-based code package for stable and efficient q-compensated reverse time migration.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Cu q-rtm: A cuda-based code package for stable and efficient q-compensated reverse time migration

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:09.428339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 352bc766-ecc5-40ce-88a6-d535069d8267 · outbound

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

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:02.856014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c889007f-4c9d-4675-a1bc-a34521ff348e · outbound

This paper cites Wavefield solutions from machine learned functions constrained by the helmholtz equation.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Wavefield solutions from machine learned functions constrained by the helmholtz equation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:09.249283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b22595d-5d90-4551-8172-aa0a35073574 · outbound

This paper cites Solving the frequency-domain acoustic vti wave equation using physics-informed neural networks.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Solving the frequency-domain acoustic vti wave equation using physics-informed neural networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:09.002889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b865563b-1c1d-4f31-8ba3-4bee47504360 · outbound

This paper cites Pinneik: Eikonal solution using physics-informed neural networks.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Pinneik: Eikonal solution using physics-informed neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:08.747275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4134837b-87c7-4f51-a344-f67b650253c5 · outbound

This paper cites Wavefield reconstruction inversion via physics-informed neural networks.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Wavefield reconstruction inversion via physics-informed neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:08.466587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 159cfae4-d4f4-4abe-866b-0b576a2e3640 · outbound

This paper cites Physics-informed neural networks (pinns) for wave propagation and full waveform inversions.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Physics-informed neural networks (pinns) for wave propagation and full waveform inversions

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:08.214897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df5ea362-9cdb-4dcd-926b-584e4ce1e69d · outbound

This paper cites Pinnup: Robust neural network wavefield solutions using frequency upscaling and neuron splitting.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Pinnup: Robust neural network wavefield solutions using frequency upscaling and neuron splitting

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:07.986264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e35e5f2e-cbfe-4a12-8703-411aa4227788 · outbound

This paper cites Helmholtz-equation solution in nonsmooth media by a physics-informed neural network incorporating quadratic terms and a perfectly matching layer condition.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Helmholtz-equation solution in nonsmooth media by a physics-informed neural network incorporating quadratic terms and a perfectly matching layer condition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:07.707412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c82254fa-d8e0-4a8d-8c9f-c26dbe4988d3 · outbound

This paper cites Physics-informed neural wavefields with gabor basis functions.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Physics-informed neural wavefields with gabor basis functions

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:07.464285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 067660dd-d72a-47b7-8a23-5cbe1d3e1f9e · outbound

This paper cites Modeling multisource multifrequency acoustic wavefields by a multiscale fourier feature physics-informed neural network with adaptive activation functions.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Modeling multisource multifrequency acoustic wavefields by a multiscale fourier feature physics-informed neural network with adaptive activation functions

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:07.192776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c9e08a3-70a3-47b1-ae9a-e32acbdad25d · outbound

This paper cites Robust data driven discovery of a seismic wave equation.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Robust data driven discovery of a seismic wave equation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:06.893442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a515698b-a026-45f4-a7a8-492c9ac699da · outbound

This paper cites Discovery of physically interpretable wave equations.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Discovery of physically interpretable wave equations

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:06.761454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9e049277-6d0c-474a-b425-3320cb78790c · outbound

This paper cites Meta learning for improved neural network wavefield solutions.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Meta learning for improved neural network wavefield solutions

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:06.513928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e93a1ccf-87c3-40fc-9f33-c62ab8068696 · outbound

This paper cites Multiple wavefield solutions in physics-informed neural networks using latent representation.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Multiple wavefield solutions in physics-informed neural networks using latent representation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:06.132416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2c3dce1-abcd-42ae-be27-fb8231029f91 · outbound

This paper cites Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:09:04.971632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 48076efa-5dd3-4516-a2b4-d39a30062391 · outbound

This paper cites Neural Network Diffusion.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Neural Network Diffusion

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:04.271206Z

Source-reported events for the cited work

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Observation f5909a5f-1793-4bf7-8251-aa5499f9c8b9 · outbound

This paper cites Denoising diffusion probabilistic models.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Denoising diffusion probabilistic models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:04.344195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36638347-1c6b-4509-9b2e-d550ce5a00a7 · outbound

This paper cites Richards.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Richards

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:05.760702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d368bc76-118b-4a93-a25b-2389961f133b · outbound

This paper cites Cold diffusion: Inverting arbitrary image transforms without noise.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Cold diffusion: Inverting arbitrary image transforms without noise

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:05.510844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 276f97d7-98f2-43b5-b0c7-6ea350f0f44c · outbound

This paper cites Openfwi: Large-scale multi-structural benchmark datasets for full waveform inversion.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Openfwi: Large-scale multi-structural benchmark datasets for full waveform inversion

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:05.206411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a886d24-3abf-4bd9-98a2-32e43e198abd · outbound

This paper cites Decoupled Weight Decay Regularization.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Decoupled Weight Decay Regularization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:04.725740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7c7a400-cdf2-4a27-aaec-f44dc1d17c71 · outbound

This paper cites Denoising Diffusion Implicit Models.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Denoising Diffusion Implicit Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:04.790665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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