Paper Citation Record · LEDGER

Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks

As of 18 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2412.08080.

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

pith.paper-citation-record.v1
2412.08080 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:17:49.275914Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:45:12.348660Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T11:45:12.386495Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy3
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3cd74a14-7ec5-4510-8eb6-ddb08b746a8f · outbound

This paper cites Auto-Encoding Variational Bayes.

Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks Auto-Encoding Variational Bayes

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T18:17:49.250919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d37c8ac-b063-4909-8627-9ecd45d7a5c8 · outbound

This paper cites Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows.

Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T18:17:49.341227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ceab08b1-d169-477c-a9df-a65e14c189dd · outbound

This paper cites an unresolved cited work.

Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks Unresolved cited work

Reference 1999

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:17:49.476435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c3532999-beb4-4a07-828d-08a1385acccb · outbound

This paper cites McLachlan, G.

Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks McLachlan, G

Reference 2000

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:17:49.458657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8a17d11-b64f-4231-9a0d-72aa33537028 · outbound

This paper cites Dziewonski, A.

Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks Dziewonski, A

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:17:49.493803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 931e1f18-2581-4c42-b124-50b567a72105 · outbound

This paper cites Spectral Networks and Locally Connected Networks on Graphs.

Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks Spectral Networks and Locally Connected Networks on Graphs

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-11T18:17:49.223513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f80d3445-5e96-44b6-998d-5b0889d83eca · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks Adam: A Method for Stochastic Optimization

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-11T18:17:49.245670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 355ac26a-68d0-4e94-8461-c3cc17bb43a0 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-11T18:17:49.255557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cded7cb8-4b7d-45cf-8998-942e3f8b92a2 · outbound

This paper cites Graph Attention Networks.

Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks Graph Attention Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-11T18:17:49.275914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4c076ee-0fdf-4e51-a122-74f63e16b883 · outbound

This paper cites Analyzing Inverse Problems with Invertible Neural Networks.

Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks Analyzing Inverse Problems with Invertible Neural Networks

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-11T18:17:49.217252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8fa60e7-7d3a-4bca-af8f-daa28994fc89 · outbound

This paper cites 2090–2096, IEEE.

Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks 2090–2096, IEEE

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:17:49.509652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 551fcbee-a584-4727-8462-02d23b2ef5dc · outbound

This paper cites Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification.

Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T18:17:49.264570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7c0874f1-1229-4edd-8fae-4145abee4829 · inbound

Solving All Seismic Tomographic Problems using Deep Learning cites this paper.

Solving All Seismic Tomographic Problems using Deep Learning Rapid Bayesian Seismic Tomography using Graph Mixture Density Networks

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:45:12.392308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.