Paper Citation Record · LEDGER

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State

As of 19 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 8 inbound Pith citation observations for arXiv:2412.03454.

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pith.paper-citation-record.v1
2412.03454 v3

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Outbound references

Observation 568025b4-59b7-4da5-a3c5-c0fa43dadc12 · outbound

This paper cites apsrev4-2.bst 2019-01-14 (MD) hand-edited version of apsrev4-1.bst.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State apsrev4-2.bst 2019-01-14 (MD) hand-edited version of apsrev4-1.bst

Reference 1

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Observation 6631b987-5ccc-43f3-9072-0f3d82d2dbae · outbound

This paper cites an unresolved cited work.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Unresolved cited work

Reference 2

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Observation 9d501f3d-a64b-4a42-a43b-dcdbf5bdb829 · outbound

This paper cites an unresolved cited work.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Unresolved cited work

Reference 3

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Observation 343a353d-16b6-46ae-85c2-7cb15b9bb681 · outbound

This paper cites an unresolved cited work.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Unresolved cited work

Reference 4

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Observation 99e746f4-616a-496a-9fa9-239b3eb318b4 · outbound

This paper cites Tidal Deformabilities and Radii of Neutron Stars from the Observation of GW170817.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Tidal Deformabilities and Radii of Neutron Stars from the Observation of GW170817

Reference 5

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Observation 1a9a937f-1b87-45d9-8c7e-e300374bb561 · outbound

This paper cites Superluminal motion of a relativistic jet in the neutron star merger GW170817.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Superluminal motion of a relativistic jet in the neutron star merger GW170817

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:09.859705Z

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Observation 695a2214-9984-4f06-8215-145ceba32f2f · outbound

This paper cites Stringent constraints on neutron-star radii from multimessenger observations and nuclear theory.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Stringent constraints on neutron-star radii from multimessenger observations and nuclear theory

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:09.866382Z

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Observation 51e783fe-147d-4c3e-8a8c-aefa2e9430c1 · outbound

This paper cites The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/VIRGO GW170817. III. Optical and UV Spectra of a Blue Kilonova From Fast Polar Ejecta.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/VIRGO GW170817. III. Optical and UV Spectra of a Blue Kilonova From Fast Polar Ejecta

Reference 8

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Observation 2207bc5a-114e-4b22-a982-ad5ce8f84966 · outbound

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

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State GW170817: Measurements of Neutron Star Radii and Equation of State

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:09.890612Z

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Observation 85c7856d-e0bf-487a-bb7f-265b9e5c3749 · outbound

This paper cites Gravitational-wave constraints on the neutron-star-matter Equation of State.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Gravitational-wave constraints on the neutron-star-matter Equation of State

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:09.895954Z

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Observation 18c0160f-89f2-4262-a73f-164b7924bb15 · outbound

This paper cites Origin of the heavy elements in binary neutron-star mergers from a gravitational wave event.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Origin of the heavy elements in binary neutron-star mergers from a gravitational wave event

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:09.901320Z

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Observation 53d501aa-8cc9-4125-b5a4-6e8e5f53b710 · outbound

This paper cites Constraining the Maximum Mass of Neutron Stars From Multi-Messenger Observations of GW170817.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Constraining the Maximum Mass of Neutron Stars From Multi-Messenger Observations of GW170817

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:09.906228Z

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Observation 73a1f63b-848e-4dab-84b6-3b6871a8716e · outbound

This paper cites A gravitational-wave standard siren measurement of the Hubble constant.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State A gravitational-wave standard siren measurement of the Hubble constant

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:09.926727Z

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Observation 24d20b0f-19f3-4abc-9d81-3d45b8214fc7 · outbound

This paper cites From hadrons to quarks in neutron stars: a review.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State From hadrons to quarks in neutron stars: a review

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:09.932275Z

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Observation aafd2814-09b2-4851-a975-d28cfb1b8f07 · outbound

This paper cites Illuminating Gravitational Waves: A Concordant Picture of Photons from a Neutron Star Merger.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Illuminating Gravitational Waves: A Concordant Picture of Photons from a Neutron Star Merger

Reference 15

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Observation b7b7d22b-4d75-4a63-a9d0-eb8a748d27f5 · outbound

This paper cites Evidence for quark-matter cores in massive neutron stars.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Evidence for quark-matter cores in massive neutron stars

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:09.943104Z

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Observation 587c2edb-3731-499b-b4b4-3e4a20165439 · outbound

This paper cites Identifying a first-order phase transition in neutron star mergers through gravitational waves.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Identifying a first-order phase transition in neutron star mergers through gravitational waves

Reference 17

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Observation de7fbc27-f87b-4dbc-b188-cc066e0a78f8 · outbound

This paper cites Multi-messenger constraints on the neutron-star equation of state and the Hubble constant.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Multi-messenger constraints on the neutron-star equation of state and the Hubble constant

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:09.965556Z

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Observation ada64afa-cf42-49e7-9e20-052a435bd36a · outbound

This paper cites Punturo et al.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Punturo et al

Reference 19

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Observation 40a6ad0e-5171-418c-8c5a-d6dc9e1f79b8 · outbound

This paper cites Cosmic Explorer: The U.S. Contribution to Gravitational-Wave Astronomy beyond LIGO.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Cosmic Explorer: The U.S. Contribution to Gravitational-Wave Astronomy beyond LIGO

Reference 20

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Observation bd52c821-ca5b-4237-9872-c06ae5b3b80c · outbound

This paper cites Listening to the Universe with Next Generation Ground-Based Gravitational-Wave Detectors.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Listening to the Universe with Next Generation Ground-Based Gravitational-Wave Detectors

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:09.979503Z

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Observation a4671e17-d99c-4b87-87ad-2d80f99a4511 · outbound

This paper cites Science with the Einstein Telescope: a comparison of different designs.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Science with the Einstein Telescope: a comparison of different designs

Reference 22

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Observation f98e0dda-45f8-4e05-ad73-7b942161ec7e · outbound

This paper cites Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library

Reference 23

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Observation 63583f36-4f43-4cb4-a1fe-64eba7547dd5 · outbound

This paper cites Accelerating gravitational wave parameter estimation with multi-band template interpolation.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Accelerating gravitational wave parameter estimation with multi-band template interpolation

Reference 24

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Observation be10c14b-ebdf-409c-8527-66ccc4f598f0 · outbound

This paper cites Accelerating parameter estimation of gravitational waves from compact binary coalescence using adaptive frequency resolutions.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Accelerating parameter estimation of gravitational waves from compact binary coalescence using adaptive frequency resolutions

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.004124Z

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Observation a7358856-07a0-4464-87dd-dc2534fea6cd · outbound

This paper cites Gravitational wave parameter estimation with compressed likelihood evaluations.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Gravitational wave parameter estimation with compressed likelihood evaluations

Reference 26

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Observation 3ede2353-e884-496f-90f4-b35851177ecd · outbound

This paper cites Accelerated gravitational-wave parameter estimation with reduced order modeling.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Accelerated gravitational-wave parameter estimation with reduced order modeling

Reference 27

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Observation c17339f0-7edf-4eb1-8237-ad8ee4ea20d8 · outbound

This paper cites Fast and Accurate Inference on Gravitational Waves from Precessing Compact Binaries.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Fast and Accurate Inference on Gravitational Waves from Precessing Compact Binaries

Reference 28

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Observation aef24142-dabd-44b6-a3cf-f5ebac0a5871 · outbound

This paper cites Fast Fisher Matrices and Lazy Likelihoods.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Fast Fisher Matrices and Lazy Likelihoods

Reference 29

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Observation 0c508182-c430-4c94-8cfc-e28bc0f8a822 · outbound

This paper cites Relative Binning and Fast Likelihood Evaluation for Gravitational Wave Parameter Estimation.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Relative Binning and Fast Likelihood Evaluation for Gravitational Wave Parameter Estimation

Reference 30

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This paper cites Mode-by-mode Relative Binning: Fast Likelihood Estimation for Gravitational Waveforms with Spin-Orbit Precession and Multiple Harmonics.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Mode-by-mode Relative Binning: Fast Likelihood Estimation for Gravitational Waveforms with Spin-Orbit Precession and Multiple Harmonics

Reference 31

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This paper cites Nested Sampling with Normalising Flows for Gravitational-Wave Inference.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Nested Sampling with Normalising Flows for Gravitational-Wave Inference

Reference 32

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Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State flowMC: Normalizing-flow enhanced sampling package for probabilistic inference in Jax

Reference 33

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This paper cites Bayesian inference for gravitational waves from binary neutron star mergers in third-generation observatories.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Bayesian inference for gravitational waves from binary neutron star mergers in third-generation observatories

Reference 34

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This paper cites Localization accuracy of compact binary coalescences detected by the third-generation gravitational-wave detectors and implication for cosmology.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Localization accuracy of compact binary coalescences detected by the third-generation gravitational-wave detectors and implication for cosmology

Reference 35

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This paper cites Rapid pre-merger localization of binary neutron stars in third generation gravitational wave detectors.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Rapid pre-merger localization of binary neutron stars in third generation gravitational wave detectors

Reference 36

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Observation aa25fccf-20a7-4cde-9fb3-849a41924bd0 · outbound

This paper cites Fast gravitational wave parameter estimation without compromises.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Fast gravitational wave parameter estimation without compromises

Reference 37

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Observation 6f58425d-5d25-4d80-a3ee-69e06cc1ccb8 · outbound

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

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Constraints on a phenomenologically parameterized neutron-star equation of state

Reference 38

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This paper cites Spectral Representations of Neutron-Star Equations of State.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Spectral Representations of Neutron-Star Equations of State

Reference 39

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This paper cites The Ligo-Virgo-KAGRA Computing Infrastructure for Gravitational-wave Research.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State The Ligo-Virgo-KAGRA Computing Infrastructure for Gravitational-wave Research

Reference 40

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Observation 2519a71c-9197-4f23-b044-646c46949359 · outbound

This paper cites Hu \ and\ author J.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Hu \ and\ author J

Reference 41

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This paper cites Convolutional neural networks: a magic bullet for gravitational-wave detection?.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Convolutional neural networks: a magic bullet for gravitational-wave detection?

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.137182Z

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Observation cd300a77-29e5-4ed0-9021-0e5d8235b2ca · outbound

This paper cites MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.142621Z

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Observation 4d4d26fe-12db-40c0-a168-01771dfa8d7d · outbound

This paper cites Skliris , author M.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Skliris , author M

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.148910Z

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Observation a34359e4-f57a-4e15-85e7-0801e0ddeb38 · outbound

This paper cites Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 45

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Observation 4802ccad-7184-4afe-a1c4-f8f415f638ed · outbound

This paper cites Real-time gravitational-wave science with neural posterior estimation.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Real-time gravitational-wave science with neural posterior estimation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.164684Z

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Observation 0a3b09cc-2878-4aa1-8e35-cf94c81bb69f · outbound

This paper cites Normalizing flows as an avenue to study overlapping gravitational wave signals.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Normalizing flows as an avenue to study overlapping gravitational wave signals

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.170392Z

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Observation 09e73930-5589-4cf5-8f54-49648c136168 · outbound

This paper cites Rapid neutron star equation of state inference with Normalising Flows.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Rapid neutron star equation of state inference with Normalising Flows

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.175581Z

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Observation 1ddbf105-1bde-4921-b53d-a50ff42bfc4f · outbound

This paper cites Cosmological Inference using Gravitational Waves and Normalising Flows.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Cosmological Inference using Gravitational Waves and Normalising Flows

Reference 49

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Observation 41c18dbc-d215-4180-9e46-108574169dc4 · outbound

This paper cites Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study

Reference 50

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Observation 66fda3e8-424d-4cdc-b59a-1a04a3ae604b · outbound

This paper cites Kobyzev , author S.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Kobyzev , author S

Reference 51

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Observation 3129c97f-56c1-4a50-86a0-233442a6056a · outbound

This paper cites Papamakarios , author E.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Papamakarios , author E

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.198759Z

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Observation 5e94284b-1fd6-4e7a-ae6d-fa2fd9aeb9b9 · outbound

This paper cites Complete parameter inference for GW150914 using deep learning.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Complete parameter inference for GW150914 using deep learning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.203684Z

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Observation 7b0b0425-8c86-495a-97dd-5c7610a342f3 · outbound

This paper cites Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.209530Z

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Observation 3ab8fb37-08b3-4a35-8b42-4f7f2ca186c6 · outbound

This paper cites Evidence for eccentricity in the population of binary black holes observed by LIGO-Virgo-KAGRA.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Evidence for eccentricity in the population of binary black holes observed by LIGO-Virgo-KAGRA

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.215296Z

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Observation dd6624bd-280b-474b-8fa9-51f0fb8a96d2 · outbound

This paper cites Real-time gravitational-wave inference for binary neutron stars using machine learning.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Real-time gravitational-wave inference for binary neutron stars using machine learning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.225186Z

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Observation 3ede5383-70d4-4446-9713-2db9131be72f · outbound

This paper cites Sensitivity Studies for Third-Generation Gravitational Wave Observatories.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Sensitivity Studies for Third-Generation Gravitational Wave Observatories

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.230376Z

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Observation 703a76f5-3781-4917-98fd-58f5d97393ae · outbound

This paper cites Exploring the Sensitivity of Next Generation Gravitational Wave Detectors.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Exploring the Sensitivity of Next Generation Gravitational Wave Detectors

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.235208Z

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Observation f87da8a1-ca6a-4d08-bf0d-0747bc26fa4b · outbound

This paper cites Wade , author J.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Wade , author J

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.240193Z

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Observation ffa546f8-a694-471f-b981-26ec8940ab51 · outbound

This paper cites Robust, Rapid, and Simple Gravitational-wave Parameter Estimation.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Robust, Rapid, and Simple Gravitational-wave Parameter Estimation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.245759Z

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Observation b76f53c4-db92-4684-b6fa-0c07a49165bd · outbound

This paper cites Comparison of post-Newtonian templates for compact binary inspiral signals in gravitational-wave detectors.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Comparison of post-Newtonian templates for compact binary inspiral signals in gravitational-wave detectors

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.250280Z

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Observation d9f4551d-50b9-4d62-887a-db1001958f9c · outbound

This paper cites Deep Residual Learning for Image Recognition.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Deep Residual Learning for Image Recognition

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.257214Z

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Observation e1baad7f-2fef-4c97-b2d6-2c1d7585d317 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.263249Z

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Observation de3a27ef-34a1-43ed-9bdb-0817e7c94d9e · outbound

This paper cites an unresolved cited work.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.269123Z

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Observation b38f31ef-9649-45a1-a29c-cf7a47370083 · outbound

This paper cites Detecting binary neutron star systems with spin in advanced gravitational-wave detectors.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Detecting binary neutron star systems with spin in advanced gravitational-wave detectors

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.274220Z

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Observation cf62967b-4bc1-423e-9591-ec8af620bb0a · outbound

This paper cites Searching for Gravitational Waves from Compact Binaries with Precessing Spins.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Searching for Gravitational Waves from Compact Binaries with Precessing Spins

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.279753Z

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Observation 90e13c0b-3be4-4749-9fa4-c83881289e22 · outbound

This paper cites Search for gravitational waves from the coalescence of sub-solar mass binaries in the first half of Advanced LIGO and Virgo's third observing run.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Search for gravitational waves from the coalescence of sub-solar mass binaries in the first half of Advanced LIGO and Virgo's third observing run

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.285184Z

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Observation abcfc9c8-81a8-424e-a182-b75871533bcb · outbound

This paper cites Improving the NRTidal model for binary neutron star systems.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Improving the NRTidal model for binary neutron star systems

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.290407Z

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Observation 30e0337d-18a6-477a-98cc-4cec9099e32e · outbound

This paper cites Neural Spline Flows.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Neural Spline Flows

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.296426Z

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Observation 3ebb8298-6a3b-48c6-b6b1-f86e6dcfd29f · outbound

This paper cites Hu ,\ title Towards high-precision gravitational wave astronomy: robust and efficient data analysis for ground-based detectors ,\ 10.5525/gla.thesis.84751 Ph.D.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Hu ,\ title Towards high-precision gravitational wave astronomy: robust and efficient data analysis for ground-based detectors ,\ 10.5525/gla.thesis.84751 Ph.D

Reference 70

Resolution: verified exact; doi, observed 2026-08-11T22:29:10.493912Z

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Observation 4a85956e-7fd8-47ed-b030-99315ca79442 · outbound

This paper cites Detection, Measurement and Gravitational Radiation.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Detection, Measurement and Gravitational Radiation

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.310441Z

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Observation c782ee2d-73c7-4769-9e09-336d62f422b4 · outbound

This paper cites Semianalytical Approach for Sky Localization of Gravitational Waves.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Semianalytical Approach for Sky Localization of Gravitational Waves

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:29:11.183102Z

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Observation 2e363354-b0eb-4fbe-80bd-34f793f73148 · outbound

This paper cites Use and Abuse of the Fisher Information Matrix in the Assessment of Gravitational-Wave Parameter-Estimation Prospects.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Use and Abuse of the Fisher Information Matrix in the Assessment of Gravitational-Wave Parameter-Estimation Prospects

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.330724Z

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Observation 45fb99f1-5794-4316-a1a5-fc567c2d4c2f · outbound

This paper cites Sidery , author B.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Sidery , author B

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.336352Z

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Observation 68cb28a0-06b4-4f04-bf59-532fb1b02e2f · outbound

This paper cites Density estimation using Real NVP.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Density estimation using Real NVP

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.341052Z

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Observation 4a4dfb73-3e8c-4d4a-b492-759106cf1d4a · outbound

This paper cites Inference of neutron-star properties with unified crust-core equations of state for parameter estimation.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Inference of neutron-star properties with unified crust-core equations of state for parameter estimation

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.346909Z

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Observation edad6ab6-d08d-4bed-85f9-0438ab8cf40c · outbound

This paper cites First measurement of the Hubble constant from a dark standard siren using the Dark Energy Survey galaxies and the LIGO/Virgo binary-black-hole merger GW170814.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State First measurement of the Hubble constant from a dark standard siren using the Dark Energy Survey galaxies and the LIGO/Virgo binary-black-hole merger GW170814

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.352032Z

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Observation 27beece5-43ac-4030-b683-025c1955e157 · outbound

This paper cites A gravitational-wave measurement of the Hubble constant following the second observing run of Advanced LIGO and Virgo.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State A gravitational-wave measurement of the Hubble constant following the second observing run of Advanced LIGO and Virgo

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.356739Z

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Observation 23ff6652-4d2e-472a-b565-1dc8239c0b91 · outbound

This paper cites Binary Black Hole Population Properties Inferred from the First and Second Observing Runs of Advanced LIGO and Advanced Virgo.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Binary Black Hole Population Properties Inferred from the First and Second Observing Runs of Advanced LIGO and Advanced Virgo

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.361939Z

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Observation d07c72fd-370d-4671-8d61-3275eab42a78 · outbound

This paper cites Population Properties of Compact Objects from the Second LIGO-Virgo Gravitational-Wave Transient Catalog.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Population Properties of Compact Objects from the Second LIGO-Virgo Gravitational-Wave Transient Catalog

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.367332Z

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Observation f8677d89-6240-4c7b-8158-19bffd6099dc · outbound

This paper cites The population of merging compact binaries inferred using gravitational waves through GWTC-3.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State The population of merging compact binaries inferred using gravitational waves through GWTC-3

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.372683Z

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Observation 70099d8f-d5ee-4dce-8da9-dbb998981d0c · outbound

This paper cites Upper Limits on the Stochastic Gravitational-Wave Background from Advanced LIGO's First Observing Run.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Upper Limits on the Stochastic Gravitational-Wave Background from Advanced LIGO's First Observing Run

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.378783Z

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Observation 348d922a-804a-4214-bcb7-565804ef5f7b · outbound

This paper cites Directional limits on persistent gravitational waves from Advanced LIGO's first observing run.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Directional limits on persistent gravitational waves from Advanced LIGO's first observing run

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.388356Z

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Observation 0bd173f1-f7de-412f-8f35-d8a494ab7928 · outbound

This paper cites GW170817: Implications for the Stochastic Gravitational-Wave Background from Compact Binary Coalescences.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State GW170817: Implications for the Stochastic Gravitational-Wave Background from Compact Binary Coalescences

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.393613Z

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Observation da65668e-998d-4fb1-978f-cd17025100a6 · outbound

This paper cites Impacts of overlapping gravitational-wave signals on the parameter estimation: Toward the search for cosmological backgrounds.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Impacts of overlapping gravitational-wave signals on the parameter estimation: Toward the search for cosmological backgrounds

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.398897Z

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Observation 028472f4-4b4f-45c1-8f14-6176f007b2f3 · outbound

This paper cites Towards inference of overlapping gravitational wave signals.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Towards inference of overlapping gravitational wave signals

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.406729Z

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Observation 1493a985-a2c5-47af-8bea-1b5a2d014f02 · outbound

This paper cites Parameter Estimation Bias From Overlapping Binary Black Hole Events In Second Generation Interferometers.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Parameter Estimation Bias From Overlapping Binary Black Hole Events In Second Generation Interferometers

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.417705Z

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Observation 4563d2b4-9dd0-484d-886b-9a2fc574a15a · outbound

This paper cites Addressing the challenges of detecting time-overlapping compact binary coalescences.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Addressing the challenges of detecting time-overlapping compact binary coalescences

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.424272Z

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Observation 83365e19-2c7b-4c74-baf3-a30db0ef9396 · outbound

This paper cites Biases in parameter estimation from overlapping gravitational-wave signals in the third generation detector era.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Biases in parameter estimation from overlapping gravitational-wave signals in the third generation detector era

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.431015Z

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Observation 6b0ceda1-24b4-4bdf-9c9b-803475fe1e17 · outbound

This paper cites Accumulating errors in tests of general relativity with gravitational waves: overlapping signals and inaccurate waveforms.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Accumulating errors in tests of general relativity with gravitational waves: overlapping signals and inaccurate waveforms

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:10.436561Z

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Pith citing papers

Observation ad3c1181-7d15-4ca1-a319-044eab58fbfc · inbound

Hierarchical Subtraction with Neural Density Estimators as a General Solution to Overlapping Gravitational Wave Signals cites this paper.

Hierarchical Subtraction with Neural Density Estimators as a General Solution to Overlapping Gravitational Wave Signals Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T19:39:16.349154Z

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Observation 8e05e19d-993e-4080-93ca-56398bf31ec8 · inbound

Fast neural network surrogate for multimodal effective-one-body gravitational waveforms from generically precessing compact binaries cites this paper.

Fast neural network surrogate for multimodal effective-one-body gravitational waveforms from generically precessing compact binaries Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:46:32.408639Z

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Observation 836c2bfc-598f-4945-b5a0-de2a115fcaf8 · inbound

Speed and accuracy for long signals: Frequency-domain effective-one-body waveforms for compact binary coalescences cites this paper.

Speed and accuracy for long signals: Frequency-domain effective-one-body waveforms for compact binary coalescences Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:36:24.985307Z

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 654d6b95-9950-4949-828e-2905baf6aaee · inbound

nmma: An extended Bayesian framework for Nuclear Multimessenger Astronomy in the Era of Next-Generation Detectors cites this paper.

nmma: An extended Bayesian framework for Nuclear Multimessenger Astronomy in the Era of Next-Generation Detectors Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State

Reference 95

Resolution: unresolved; no resolver link, observed 2026-07-12T05:14:58.841553Z

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Observation 58a64cff-82d0-48ce-a604-033dd5430f3a · inbound

Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms cites this paper.

Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-31T04:58:16.815444Z

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Observation 9be71712-04c6-4dad-9d3f-3388d7719404 · inbound

Ab Initio Real-Time Gravitational-Wave Parameter Estimation cites this paper.

Ab Initio Real-Time Gravitational-Wave Parameter Estimation Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-31T12:51:48.884508Z

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Observation 6338d4f9-2329-4e75-829e-90ddd7059dcf · inbound

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Probability of gravitational-wave lensing by intermediate-mass black holes and globular clusters Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-11T00:33:04.601086Z

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Observation 2fb2c688-4e9a-4e55-bdc2-4755d2782916 · 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 Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T00:26:46.674848Z

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