Paper Citation Record · LEDGER

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework

As of 20 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2509.05886.

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

pith.paper-citation-record.v1
2509.05886 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:24:45.844583Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T09:29:22.792337Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:33:41.576811Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy18
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac4418b2-14e3-43ee-b7a3-974770790852 · outbound

This paper cites Sensitivity analysis and application of machine learning methods to predict the heat transfer performance of cnt/water nanofluid flows through coils,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Sensitivity analysis and application of machine learning methods to predict the heat transfer performance of cnt/water nanofluid flows through coils,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:46.264725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0ce1f101-b86e-429a-b9de-6d51d3c56d91 · outbound

This paper cites Estimation of air dew point temperature using computational intelligence schemes,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Estimation of air dew point temperature using computational intelligence schemes,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:46.247128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4af064b-b7b0-4d86-9980-89fee038b51e · outbound

This paper cites Prediction of thermal conductivity of ethylene glycol –water solutions by using artificial neural networks,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Prediction of thermal conductivity of ethylene glycol –water solutions by using artificial neural networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:46.227114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51930a9e-86b4-4da0-8b96-21eb057a1919 · outbound

This paper cites Modeling viscosity of nanofluids using diffusional neural networks,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Modeling viscosity of nanofluids using diffusional neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:46.209344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 80f226f4-51d5-42c7-ab07-3f3d3f3c5cdb · outbound

This paper cites Convolutional-network models to predict wall -bounded turbulence from wall quantities,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Convolutional-network models to predict wall -bounded turbulence from wall quantities,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:46.188586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 27d55f32-d564-4bc2-acda-15a0a4897abd · outbound

This paper cites A Review of Physics-Informed Machine Learning in Fluid Mechanics.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework A Review of Physics-Informed Machine Learning in Fluid Mechanics

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:46.169451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation afb51ee4-78f7-4bc1-bb68-5743f21303a5 · outbound

This paper cites Finite volume method network for the acceleration of unsteady computational fluid dynamics: Non -reacting and reacting flows,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Finite volume method network for the acceleration of unsteady computational fluid dynamics: Non -reacting and reacting flows,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:46.150958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4ef1d3b4-0720-44ce-989e-1351a75368da · outbound

This paper cites Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T16:24:45.770601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 416f17e0-9271-4970-990b-d089b22741a8 · outbound

This paper cites A comprehensive survey on transfer learning,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework A comprehensive survey on transfer learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T16:24:45.778358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63a0e1c0-6176-47e0-a3ba-fade494d6c10 · outbound

This paper cites Convolutional neural network- based transfer learning for optical aerial images change detection,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Convolutional neural network- based transfer learning for optical aerial images change detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:46.118295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 34e3e77f-fc7b-4743-8465-54323333971f · outbound

This paper cites Hierarchical intelligent real-time optimal control for llrf using time series machine learning methods and transfer learning,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Hierarchical intelligent real-time optimal control for llrf using time series machine learning methods and transfer learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:46.100119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ed88f1d9-85cc-4cec-b3c5-689e3ea7c7f1 · outbound

This paper cites Enhancement of liquid sodium (na) forced convection within miniature heat sinks,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Enhancement of liquid sodium (na) forced convection within miniature heat sinks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:46.081967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bd0dad26-fcb0-4d6a-92d2-db61035bd214 · outbound

This paper cites Predictions of reynolds and nusselt numbers in turbulent convection using machine learning models,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Predictions of reynolds and nusselt numbers in turbulent convection using machine learning models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:46.065552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aed79a6c-c64f-4c54-b29b-1fc06897b819 · outbound

This paper cites Artificial neural network modeling of nanofluid flow in a microchannel heat sink using experimental data,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Artificial neural network modeling of nanofluid flow in a microchannel heat sink using experimental data,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:46.047417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9fddbb92-d854-4aa6-b22e-646a023cdcb4 · outbound

This paper cites Monte Carlo cross -validation for a study with binary outcome and limited sample size.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Monte Carlo cross -validation for a study with binary outcome and limited sample size

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:46.026576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7453639d-09c7-486e-9ceb-b05ee61c3c37 · outbound

This paper cites Triaging patient complaints: Monte Carlo cross-validation of six machine learning classifiers.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Triaging patient complaints: Monte Carlo cross-validation of six machine learning classifiers

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:46.005703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c08e937-d456-4727-9f03-9b9a72e766f3 · outbound

This paper cites Computational framework development for heat transfer studies in liquid metal-cooled small-scale heat sinks with non-circular cross-sections,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Computational framework development for heat transfer studies in liquid metal-cooled small-scale heat sinks with non-circular cross-sections,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:45.988250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6711345a-bad8-4e6f-8630-1760dd5f828f · outbound

This paper cites Designing monte carlo simulation and an optimal machine learning to optimize and model space missions,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Designing monte carlo simulation and an optimal machine learning to optimize and model space missions,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:45.969446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3530e042-f410-46f3-9740-1648e792d9ec · outbound

This paper cites Artificial intelligence, controls, and sensor fusion for optimization and modeling of space missions and particle accelerators,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Artificial intelligence, controls, and sensor fusion for optimization and modeling of space missions and particle accelerators,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:45.952113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d3d87a13-057f-4cd4-bd36-816b01ab408b · outbound

This paper cites Shawe -Taylor, N.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Shawe -Taylor, N

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:24:45.932377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d3f06c69-4137-4497-bcfb-0e6fcd15424e · outbound

This paper cites Variations of box plots,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework Variations of box plots,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T16:24:45.839769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cce1fe8b-bf18-4272-bb33-46984a31a81f · outbound

This paper cites On a test of whether one of two random variables is stochastically larger than the other,.

SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework On a test of whether one of two random variables is stochastically larger than the other,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T16:24:45.844583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f6dfa491-31be-4846-8e78-f9d6ac9e064b · inbound

Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning cites this paper.

Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning SPINN: An Optimal Self-Supervised Physics-Informed Neural Network Framework

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:33:41.580215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.