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Paper Citation Record · LEDGER

Explainable autoencoder for neutron star dense matter parameter estimation

As of 18 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 2 inbound Pith citation observations for arXiv:2501.15222.

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

pith.paper-citation-record.v1
2501.15222 v1

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measured 60 of 60 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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

Source: pith, observed 2026-08-07T04:40:53.622917Z

Reference resolution

60 of 60 outbound references displayed

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Outbound references

Observation 0a7f25bd-2a40-41d6-b70f-bde1a0344e9d · outbound

This paper cites Learning internal representations by error propagation.

Explainable autoencoder for neutron star dense matter parameter estimation Learning internal representations by error propagation

Reference 1

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Observation b3edb961-d81b-4de0-8c5e-35e09b0d34a7 · outbound

This paper cites Autoencoders.

Explainable autoencoder for neutron star dense matter parameter estimation Autoencoders

Reference 2

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Observation d53c57e5-f890-48a2-be62-328af37f0d83 · outbound

This paper cites Auto-Encoders in Deep Learning—A Review with New Perspectives.

Explainable autoencoder for neutron star dense matter parameter estimation Auto-Encoders in Deep Learning—A Review with New Perspectives

Reference 3

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Observation f97ac97a-2891-4662-99cb-3bcab25c2145 · outbound

This paper cites An Introduction to Autoencoders.

Explainable autoencoder for neutron star dense matter parameter estimation An Introduction to Autoencoders

Reference 4

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Observation 56701b44-2487-4c38-bafa-35ef62de8a18 · outbound

This paper cites Reducing the Dimensionality of Data with Neural Networks.

Explainable autoencoder for neutron star dense matter parameter estimation Reducing the Dimensionality of Data with Neural Networks

Reference 5

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Observation 2d6a4172-7152-42ca-aad5-7f3278b13875 · outbound

This paper cites A comprehensive survey on design and application of autoencoder in deep learning.

Explainable autoencoder for neutron star dense matter parameter estimation A comprehensive survey on design and application of autoencoder in deep learning

Reference 6

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Observation 2421e459-d95d-4cd8-8264-774b7004453a · outbound

This paper cites Reliability and Interpretability in Science and Deep Learning.

Explainable autoencoder for neutron star dense matter parameter estimation Reliability and Interpretability in Science and Deep Learning

Reference 7

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Observation e1d21960-e3c1-4778-b628-e229461a10b0 · outbound

This paper cites The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies.

Explainable autoencoder for neutron star dense matter parameter estimation The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies

Reference 8

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This paper cites Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.

Explainable autoencoder for neutron star dense matter parameter estimation Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Reference 9

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Observation 0353336e-baaf-49d7-91d2-edb99700549f · outbound

This paper cites Static Solutions of Einstein’s Field Equations for Spheres of Fluid.

Explainable autoencoder for neutron star dense matter parameter estimation Static Solutions of Einstein’s Field Equations for Spheres of Fluid

Reference 10

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Observation e4435e54-68df-44b7-89ae-fbd6decfdb19 · outbound

This paper cites On Massive Neutron Cores.

Explainable autoencoder for neutron star dense matter parameter estimation On Massive Neutron Cores

Reference 11

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Observation 765fbd79-6b4b-40a8-9133-aa1927a6074d · outbound

This paper cites Tidal deformability of neutron stars with realistic equations of state and their gravitational wave signatures in binary inspiral.

Explainable autoencoder for neutron star dense matter parameter estimation Tidal deformability of neutron stars with realistic equations of state and their gravitational wave signatures in binary inspiral

Reference 12

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Observation 7cfa204a-ed0d-4d80-b3aa-de6eaf9a05c9 · outbound

This paper cites Upper limit set by causality on the tidal deformability of a neutron star.

Explainable autoencoder for neutron star dense matter parameter estimation Upper limit set by causality on the tidal deformability of a neutron star

Reference 13

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Observation 017d289e-dd7e-4e0f-a4b3-f6fcd31118ff · outbound

This paper cites Multilayer feedforward networks are universal approximators.

Explainable autoencoder for neutron star dense matter parameter estimation Multilayer feedforward networks are universal approximators

Reference 14

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Observation 4504f834-6468-4641-ae20-dd14901f457d · outbound

This paper cites Approximation by superpositions of a sigmoidal function.

Explainable autoencoder for neutron star dense matter parameter estimation Approximation by superpositions of a sigmoidal function

Reference 15

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Observation 7d1bf475-6875-4407-b64e-dc53650e0a46 · outbound

This paper cites Unveiling the nuclear matter EoS from neutron star properties: a supervised machine learning approach.

Explainable autoencoder for neutron star dense matter parameter estimation Unveiling the nuclear matter EoS from neutron star properties: a supervised machine learning approach

Reference 16

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Observation 8bf2526f-6b73-4a68-a695-f705916ff9fa · outbound

This paper cites Methodology study of machine learning for the neutron star equation of state.

Explainable autoencoder for neutron star dense matter parameter estimation Methodology study of machine learning for the neutron star equation of state

Reference 17

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Observation 19529e3a-d579-4312-91df-5dc9d2e89d6d · outbound

This paper cites Mapping neutron star data to the equation of state using the deep neural network.

Explainable autoencoder for neutron star dense matter parameter estimation Mapping neutron star data to the equation of state using the deep neural network

Reference 18

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Observation a37e0848-366f-4184-abf4-8f5faa7969df · outbound

This paper cites Extensive Studies of the Neutron Star Equation of State from the Deep Learning Inference with the Observational Data Augmentation.

Explainable autoencoder for neutron star dense matter parameter estimation Extensive Studies of the Neutron Star Equation of State from the Deep Learning Inference with the Observational Data Augmentation

Reference 19

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Observation 5ee34cf0-a1a7-4624-948f-30db33746eb7 · outbound

This paper cites Neural network reconstruction of the dense matter equation of state from neutron star observables.

Explainable autoencoder for neutron star dense matter parameter estimation Neural network reconstruction of the dense matter equation of state from neutron star observables

Reference 20

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This paper cites Neural networks reconstruction of the dense-matter equation of state from neutron-star parameters.

Explainable autoencoder for neutron star dense matter parameter estimation Neural networks reconstruction of the dense-matter equation of state from neutron-star parameters

Reference 21

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Observation 36f5b44e-31c2-475c-b463-00817c472721 · outbound

This paper cites Translating Neutron Star Observations to Nuclear Symmetry Energy via Deep Neural Networks.

Explainable autoencoder for neutron star dense matter parameter estimation Translating Neutron Star Observations to Nuclear Symmetry Energy via Deep Neural Networks

Reference 22

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Observation e4640c6d-5e65-483c-9f8e-614d40786469 · outbound

This paper cites Extracting nuclear matter properties from the neutron star matter equation of state using deep neural networks.

Explainable autoencoder for neutron star dense matter parameter estimation Extracting nuclear matter properties from the neutron star matter equation of state using deep neural networks

Reference 23

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This paper cites A Deep Learning Approach to Extracting Nuclear Matter Properties from Neutron Star Observations.

Explainable autoencoder for neutron star dense matter parameter estimation A Deep Learning Approach to Extracting Nuclear Matter Properties from Neutron Star Observations

Reference 24

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This paper cites Bayesian nonparametric inference of neutron star equation of state via neural network.

Explainable autoencoder for neutron star dense matter parameter estimation Bayesian nonparametric inference of neutron star equation of state via neural network

Reference 25

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This paper cites Reconstructing the neutron star equation of state from observational data via automatic differentiation.

Explainable autoencoder for neutron star dense matter parameter estimation Reconstructing the neutron star equation of state from observational data via automatic differentiation

Reference 26

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This paper cites Detecting dense-matter phase transition signatures in neutron star mass-radius measurements as data anomalies using normalising flows.

Explainable autoencoder for neutron star dense matter parameter estimation Detecting dense-matter phase transition signatures in neutron star mass-radius measurements as data anomalies using normalising flows

Reference 27

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This paper cites Realizing the potential of deep neural network for analyzing neutron star observables and dense matter equation of state.

Explainable autoencoder for neutron star dense matter parameter estimation Realizing the potential of deep neural network for analyzing neutron star observables and dense matter equation of state

Reference 28

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This paper cites Detecting the third family of compact stars with normalizing flows.

Explainable autoencoder for neutron star dense matter parameter estimation Detecting the third family of compact stars with normalizing flows

Reference 29

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This paper cites Conditional variational autoencoder inference of neutron star equation of state from astrophysical observations.

Explainable autoencoder for neutron star dense matter parameter estimation Conditional variational autoencoder inference of neutron star equation of state from astrophysical observations

Reference 30

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

Explainable autoencoder for neutron star dense matter parameter estimation Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 31

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Explainable autoencoder for neutron star dense matter parameter estimation A tutorial on solving ordinary differential equations using Python and hybrid physics-informed neural network

Reference 32

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Explainable autoencoder for neutron star dense matter parameter estimation Physics-Informed Neural Networks and Extensions

Reference 33

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Explainable autoencoder for neutron star dense matter parameter estimation Shapiro delay measurement of a two solar mass neutron star

Reference 34

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This paper cites Constraints on a phenomenologically parametrized neutron-star equation of state.

Explainable autoencoder for neutron star dense matter parameter estimation Constraints on a phenomenologically parametrized neutron-star equation of state

Reference 35

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Observation 2d760e5c-978d-42e9-8bb4-b7fb23f26647 · outbound

This paper cites A unified equation of state of dense matter and neutron star structure.

Explainable autoencoder for neutron star dense matter parameter estimation A unified equation of state of dense matter and neutron star structure

Reference 36

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verified exact
raw_fallback, observed 2026-08-10T14:35:12.965769Z

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.

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Observation c1b7cbb3-51cb-4906-8221-2922c125ac0f · outbound

This paper cites Tolman-Oppenheimer-Volkoff solutions with piecewise polytropic EOS.

Explainable autoencoder for neutron star dense matter parameter estimation Tolman-Oppenheimer-Volkoff solutions with piecewise polytropic EOS

Reference 37

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verified fuzzy
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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.

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Observation 50649bbd-db42-4091-a18d-8d0009f90840 · outbound

This paper cites Masses, Radii, and the Equation of State of Neutron Stars.

Explainable autoencoder for neutron star dense matter parameter estimation Masses, Radii, and the Equation of State of Neutron Stars

Reference 38

Resolution
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raw_fallback, observed 2026-08-10T14:35:13.402532Z

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.

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Observation bbf55ba2-6e13-40d7-862a-8770721e3e9c · outbound

This paper cites f-mode oscillations of compact stars with realistic equations of state in dynamical spacetime.

Explainable autoencoder for neutron star dense matter parameter estimation f-mode oscillations of compact stars with realistic equations of state in dynamical spacetime

Reference 39

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-10T14:35:12.414256Z digest=sha256:6fde3ececcc70959ace2bf62747d67cbd1453475c168935ef5b1da563ab1dde0

Observation 721608ad-716c-4c82-b72c-30f7bf12c230 · outbound

This paper cites Tidal deformability doppelg¨ anger: Implications of a low-density phase transition in the neutron star equation of state.

Explainable autoencoder for neutron star dense matter parameter estimation Tidal deformability doppelg¨ anger: Implications of a low-density phase transition in the neutron star equation of state

Reference 40

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-10T14:35:12.418252Z digest=sha256:05db636f6cf07eacecf3b14d8410f7598f7d7d7f408be09d4584d69f3c212eb0

Observation 02af31e0-e2c1-4f64-b9ae-73c6d4283e09 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Explainable autoencoder for neutron star dense matter parameter estimation Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 41

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-10T14:35:12.422246Z digest=sha256:754358ba281049f2f0fd1bb0b24d3336f78ba92b6666b4a0bcdc7121be383fe4

Observation 4d12a452-2b74-4000-aac8-1f4ccab1bb96 · outbound

This paper cites Kingma and Jimmy Ba.

Explainable autoencoder for neutron star dense matter parameter estimation Kingma and Jimmy Ba

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T14:35:12.426530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:35:12.426530Z digest=sha256:6016db2a93895e716463d21473c531f8193c751fe5246921fb85d8ef9404b682

Observation db24c593-4c7a-4edc-9599-dc731018aee1 · outbound

This paper cites https://pytorch.org/docs/ stable / generated / torch.

Explainable autoencoder for neutron star dense matter parameter estimation https://pytorch.org/docs/ stable / generated / torch

Reference 43

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-10T14:35:12.435894Z digest=sha256:b164e1fd927aaa386b480fa5be49f801f530e687989ff54e886cbae3fa1a1686

Observation 56b87144-f76d-41e9-a09b-03031e8974b3 · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks.

Explainable autoencoder for neutron star dense matter parameter estimation Understanding the difficulty of training deep feedforward neural networks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:35:13.322863Z

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.

source=pdf_text observed=2026-08-10T14:35:12.440045Z digest=sha256:93e0c082949f4d6d834eaee366ce8c0b38b8abb5b3a17bd766dcd42ca6bd9113

Observation 96e000b0-a27c-413e-aec1-9e7bc1b366c0 · outbound

This paper cites Modern Neural Networks Generalize on Small Data Sets.

Explainable autoencoder for neutron star dense matter parameter estimation Modern Neural Networks Generalize on Small Data Sets

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:35:13.308807Z

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.

source=pdf_text observed=2026-08-10T14:35:12.444182Z digest=sha256:5023983712d03fed437fefec3a56136b6755824556a636804abe35bd96c6d9d0

Observation 971fe23b-47d8-4b65-9e42-db746f90d6fb · outbound

This paper cites Composition and thermodynamics of nuclear matter with light clusters.

Explainable autoencoder for neutron star dense matter parameter estimation Composition and thermodynamics of nuclear matter with light clusters

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T14:35:12.448415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:35:12.448415Z digest=sha256:2dea99eb1465e6d1c7f86d430d8439440e6733fdac526759345c4046d26c6dc9

Observation c570a2dd-b20b-4f4d-89f9-217fdee89b85 · outbound

This paper cites Equation of state for dense nucleon matter.

Explainable autoencoder for neutron star dense matter parameter estimation Equation of state for dense nucleon matter

Reference 47

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-10T14:35:12.453421Z digest=sha256:ebed534be37d2450eccd269d6deb5aff997936ddd6298fdbab4c01eb0ae3850e

Observation cab68c0d-223b-4e0e-9095-6b96d6782e6c · outbound

This paper cites GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral.

Explainable autoencoder for neutron star dense matter parameter estimation GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:35:13.277783Z

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.

source=pdf_text observed=2026-08-10T14:35:12.457548Z digest=sha256:927dc50c0a074a0553a22da7eb73d1d6d229e00bcd87bef96eaddebb41765bfb

Observation c49225a1-d242-4338-85ed-c86884b29d0d · outbound

This paper cites Properties of the Binary Neutron Star Merger GW170817.

Explainable autoencoder for neutron star dense matter parameter estimation Properties of the Binary Neutron Star Merger GW170817

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:35:13.263405Z

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.

source=pdf_text observed=2026-08-10T14:35:12.461866Z digest=sha256:cc1030501d07f7366f27aff1a2b9986ec6eb41b72ec005ce0c902ee7f1a8c304

Observation 071eb234-2365-424b-a3fb-6d2c4054f49f · outbound

This paper cites GW170817: Measurements of Neutron Star Radii and Equation of State.

Explainable autoencoder for neutron star dense matter parameter estimation GW170817: Measurements of Neutron Star Radii and Equation of State

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:35:13.248631Z

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.

source=pdf_text observed=2026-08-10T14:35:12.466587Z digest=sha256:07136bbdbb7f8b9ebb9609f39b038b700619c020cfaa3542b895b6b7038f16f5

Observation 682d33a5-8282-4379-aa84-163803569955 · outbound

This paper cites Binary Love relations.

Explainable autoencoder for neutron star dense matter parameter estimation Binary Love relations

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:35:13.234248Z

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.

source=pdf_text observed=2026-08-10T14:35:12.471027Z digest=sha256:bafed2e0a61694f3bad58ca5d88cf6d06e9d0602499b9094972f1eb4341a6468

Observation 8f6e4900-2266-4def-beda-8d751d825db2 · outbound

This paper cites Measuring the neutron star tidal deformability with equation-of-state-independent relations and gravitational waves.

Explainable autoencoder for neutron star dense matter parameter estimation Measuring the neutron star tidal deformability with equation-of-state-independent relations and gravitational waves

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:35:13.218887Z

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.

source=pdf_text observed=2026-08-10T14:35:12.475277Z digest=sha256:e21d30f45332093881658ec0bcbf1efdb5083e907a269f1575c8c3e8de3948a6

Observation 6d9ffd11-4fdb-4b1a-b47c-ea90b7b78f3e · outbound

This paper cites The scenario of two families of compact stars 1. Equations of state, mass-radius relations and binary systems.

Explainable autoencoder for neutron star dense matter parameter estimation The scenario of two families of compact stars 1. Equations of state, mass-radius relations and binary systems

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T14:35:12.479549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:35:12.479549Z digest=sha256:f01e90406845eb8a9db54320cacc02b55f6b2e0f410168344c25017f9e919e1d

Observation 82cb85f5-41ff-4f8c-b357-2c9254151ea7 · outbound

This paper cites Was GW190814 a Black Hole–Strange Quark Star System?.

Explainable autoencoder for neutron star dense matter parameter estimation Was GW190814 a Black Hole–Strange Quark Star System?

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T14:35:12.483993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:35:12.483993Z digest=sha256:59c86a751fb8435bb1cdc68aee88b5a51701031c03aaf4fdfd386832e8f7fa7e

Observation 1b879bd2-c889-4257-9ec6-e7e6d3608b39 · outbound

This paper cites Why can hadronic stars convert into strange quark stars with larger radii.

Explainable autoencoder for neutron star dense matter parameter estimation Why can hadronic stars convert into strange quark stars with larger radii

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-10T14:35:12.771050Z

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.

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Observation 9a940e89-9f3c-4853-97cd-deb6874de934 · outbound

This paper cites Thermal fluctuations of matter composition and quark nucleation in compact stars.

Explainable autoencoder for neutron star dense matter parameter estimation Thermal fluctuations of matter composition and quark nucleation in compact stars

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T14:35:12.492414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:35:12.492414Z digest=sha256:f9457b4b59f0573ab6d7eaf54272a25dbdc99f2954a942ad1f381f116bf0bead

Observation c2b4da2d-3df9-435c-9254-7603dab38155 · outbound

This paper cites Is the Compact Object Associated with HESS J1731-347 a Strange Quark Star? A Possible Astrophysical Scenario for Its Formation.

Explainable autoencoder for neutron star dense matter parameter estimation Is the Compact Object Associated with HESS J1731-347 a Strange Quark Star? A Possible Astrophysical Scenario for Its Formation

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T14:35:12.496725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:35:12.496725Z digest=sha256:9a42f08fc4e7a2d622c809925b423194035c0ac8f112109541a4ef289bc29208

Observation 42082cb0-c4c7-476d-b793-84b49fd7dccb · outbound

This paper cites Merger of a Neutron Star with a Black Hole: One-family versus Two-families Scenario.

Explainable autoencoder for neutron star dense matter parameter estimation Merger of a Neutron Star with a Black Hole: One-family versus Two-families Scenario

Reference 58

Resolution
verified exact
raw_fallback, observed 2026-08-10T14:35:12.673352Z

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.

source=pdf_text observed=2026-08-10T14:35:12.501671Z digest=sha256:ee592c5223990926080dd8de6ae3a4c677beb1bdd53a1b0817f95f859a3e0172

Observation 3418ee4f-a3a8-45ca-a4a2-c1f5e0afb33d · outbound

This paper cites Black Hole - Neutron Star mergers: using kilonovae to constrain the equation of state.

Explainable autoencoder for neutron star dense matter parameter estimation Black Hole - Neutron Star mergers: using kilonovae to constrain the equation of state

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-10T14:35:12.559949Z

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.

source=pdf_text observed=2026-08-10T14:35:12.505804Z digest=sha256:52e1278aee680c7a9c22b91881caafd54150d095764dc7dca9e1ea214eb87b66

Observation d5dd18cb-2ded-4a9b-9a7b-3cb62fa2990a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Explainable autoencoder for neutron star dense matter parameter estimation Adam: A Method for Stochastic Optimization

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-10T14:35:12.431182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:35:12.431182Z digest=sha256:acfb440a3c713cdbfa5ef372b103a739cf45f7f385593ec03893e07786fef5ba

Pith citing papers

Observation 445d954b-2ce0-4048-afb7-1204caf68258 · inbound

Locating the QCD critical point with neutron-star observations cites this paper.

Locating the QCD critical point with neutron-star observations Explainable autoencoder for neutron star dense matter parameter estimation

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:40:53.626421Z

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.

source=pdf_text observed=2026-08-07T04:40:52.720957Z digest=sha256:fbdf4c4c19380afd129560a2c5bfbcf6eb9e922e7f4f922bf1da809a1aa7224e

Observation ec29fbf0-4a8d-487c-9713-ba8b3ade1b17 · inbound

Fast and Accurate Prediction of Neutron Star Structure with Deep Neural Networks cites this paper.

Fast and Accurate Prediction of Neutron Star Structure with Deep Neural Networks Explainable autoencoder for neutron star dense matter parameter estimation

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T00:26:46.574197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:26:46.574197Z digest=sha256:be6ac16e9de6702a000b2c5a5119328db0d67a4d80bc13c2b30e2d15e6ea1fc3