Paper Citation Record · LEDGER

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks

As of 5 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2605.13560.

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

pith.paper-citation-record.v1
2605.13560 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T20:07:27.996476Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

33 of 33 outbound references displayed

verified exact2
verified fuzzy27
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06411adc-c296-4ed0-bc36-cd8e9acdf3ba · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-14T20:07:54.770448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3c28824d-f245-42f3-88d5-41bcf4b14599 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-14T20:07:54.661276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 29b581ca-b138-4bbb-a47a-47b8cbfa8c0b · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-14T20:07:54.762309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5270bb4f-af4f-4aea-a4b0-6427c25bb327 · outbound

This paper cites Reduced lung- cancer mortality with low-dose computed tomographic screen- ing.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Reduced lung- cancer mortality with low-dose computed tomographic screen- ing

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.656568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3d63b207-3e3f-4470-88dc-526bcc438660 · outbound

This paper cites Growth dynamics of lung nodules: implications for classification in lung cancer screening.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Growth dynamics of lung nodules: implications for classification in lung cancer screening

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.665478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 81c6b272-0148-481b-83eb-5f283ed5757a · outbound

This paper cites A quanti- tative model for differential motility of gliomas.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks A quanti- tative model for differential motility of gliomas

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.786534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e82f04af-ce42-4354-b6b6-02789678f88f · outbound

This paper cites Growth of nonnecrotic tumors in the presence and absence of inhibitors.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Growth of nonnecrotic tumors in the presence and absence of inhibitors

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.757759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d82cf51c-023e-4785-a64e-68d02a49139d · outbound

This paper cites A gompertzian model of human breast cancer growth.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks A gompertzian model of human breast cancer growth

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.766662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a0951277-a62d-4b79-ab64-e588b17a055d · outbound

This paper cites Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.774690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 563cadda-16d4-4b0c-980e-7e96aa66195a · outbound

This paper cites Gaussian processes for data-eﬀicient learning in robotics and control.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Gaussian processes for data-eﬀicient learning in robotics and control

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.782283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d2a86ed0-5c96-4d42-8dda-89ec5d1cb4c2 · outbound

This paper cites Approximations for binary gaussian process classification.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Approximations for binary gaussian process classification

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.749170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 460c24fc-770c-4a4a-8b73-2b4beb3e32e1 · outbound

This paper cites Data-Driven Parameter Identification for Tumor Growth Models.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Data-Driven Parameter Identification for Tumor Growth Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-02T03:04:02.359451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6779d252-0b36-4906-8747-c80c32a63b6f · outbound

This paper cites Physics- Informed Neural Networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Physics- Informed Neural Networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.739983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 487c9dfc-5bfe-4751-bfed-837ef16640af · outbound

This paper cites Understanding and mitigating gradient pathologies in physics-informed neural net- works.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Understanding and mitigating gradient pathologies in physics-informed neural net- works

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.744820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ec78b321-053c-43d0-8fd9-da419ebab309 · outbound

This paper cites When and why PINNs fail to train: a neural tangent kernel perspective.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks When and why PINNs fail to train: a neural tangent kernel perspective

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.753486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f0f2ee7d-6d60-4dd1-ad81-599a52374dd5 · outbound

This paper cites Estimates on the generalization error of physics-informed neural networks for inverse problems of PDEs.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Estimates on the generalization error of physics-informed neural networks for inverse problems of PDEs

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.720289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1c90c118-6fca-4509-a2b2-9c18ab6894ec · outbound

This paper cites B-PINNs: Bayesian physics-informed neural networks for forward and inverse prob- lems with noisy data.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks B-PINNs: Bayesian physics-informed neural networks for forward and inverse prob- lems with noisy data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.715551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 841601c6-7a99-49c9-b6bf-15c89f5e32a6 · outbound

This paper cites Physics-informed neural network uncertainty assessment through bayesian inference.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Physics-informed neural network uncertainty assessment through bayesian inference

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.724835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7e65a1ae-a268-4073-80ca-cb45374a2e08 · outbound

This paper cites Bayesian deep convolutional encoder–decoder networks for surrogate modeling.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Bayesian deep convolutional encoder–decoder networks for surrogate modeling

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.729585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0e742a58-41ee-4592-aa32-6ce40f0e7f9a · outbound

This paper cites Using physics-informed neural networks (PINNs) for tumor cell growth modeling.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Using physics-informed neural networks (PINNs) for tumor cell growth modeling

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.734256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b2c603b2-e314-4f58-8b98-c7fe09e9c3a6 · outbound

This paper cites Physics-informed neural network for parameter inference in a tumor model.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Physics-informed neural network for parameter inference in a tumor model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.778633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 30c2432f-f81d-4741-913c-7a69cf96841f · outbound

This paper cites Universal differential equations for scientific machine learning.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Universal differential equations for scientific machine learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.701450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8c5f31eb-bbde-4e45-83d8-e7a8f2bb7c68 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-14T20:07:54.692839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 731f1b2a-9ffe-49ed-a5dd-ed2da2cf9fbf · outbound

This paper cites Dropout as a Bayesian approx- imation: representing model uncertainty in deep learning.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Dropout as a Bayesian approx- imation: representing model uncertainty in deep learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.688686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b135695a-1957-4a6a-8d23-c950dfa3c7e9 · outbound

This paper cites A Conceptual Introduction to Hamiltonian Monte Carlo.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks A Conceptual Introduction to Hamiltonian Monte Carlo

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:07:53.514191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 90e70960-03d0-467c-a2b2-94cac4960095 · outbound

This paper cites Hybrid Monte Carlo.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Hybrid Monte Carlo

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.705545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3d5072b4-49e6-405a-aa03-ec830145bbcd · outbound

This paper cites Stochastic gradient Hamiltonian Monte Carlo.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Stochastic gradient Hamiltonian Monte Carlo

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.697247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ac0442ae-da5c-4467-8ef9-7e595810c177 · outbound

This paper cites The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.710410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8598ec64-6594-4e77-9180-0349f03e2bf1 · outbound

This paper cites Shrink globally, act locally: sparse Bayesian regularization and prediction.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Shrink globally, act locally: sparse Bayesian regularization and prediction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.791680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bf9750bf-8a04-4072-96cf-4dcb9203fd7d · outbound

This paper cites Code and manuscript-facing results for bayesian pinn lung tumor growth modeling.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Code and manuscript-facing results for bayesian pinn lung tumor growth modeling

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.674275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f64bc499-4c05-4195-9282-d98ce27967e4 · outbound

This paper cites Bayesian inference of tissue heterogeneity for individualized prediction of glioma growth.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Bayesian inference of tissue heterogeneity for individualized prediction of glioma growth

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.679274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ca53ffb4-718b-4328-896c-7ca5a0622466 · outbound

This paper cites Weight uncertainty in neural networks.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Weight uncertainty in neural networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.669874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 67a223ce-c95c-430d-a82a-08883c636ba7 · outbound

This paper cites Auto-encoding variational bayes.

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks Auto-encoding variational bayes

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T20:07:54.683935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.