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Paper Citation Record · LEDGER

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves

As of 22 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 3 inbound Pith citation observations for arXiv:2603.27680.

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

pith.paper-citation-record.v1
2603.27680 v2

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measured 100 of 104 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T05:43:33.431803Z

measured 103 of 103 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T22:27:16.157204Z

measured 0 of 1 external citation measurements

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Source: pith, observed 2026-07-10T22:27:36.581783Z

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100 of 104 outbound references displayed

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Outbound references

Observation 97b91106-4ad7-43c0-911a-06f21f6b0217 · outbound

This paper cites GWTC-4.0: Updating the Gravitational-Wave Transient Catalog with Observations from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves GWTC-4.0: Updating the Gravitational-Wave Transient Catalog with Observations from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run

Reference 1

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Observation cfcb9e69-4cce-4b4a-981a-ebeb64bfabc2 · outbound

This paper cites an unresolved cited work.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Unresolved cited work

Reference 2

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Observation 91fcefc4-28e9-4a08-bd76-b043e5c36519 · outbound

This paper cites an unresolved cited work.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Unresolved cited work

Reference 3

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Observation 04c66f55-711c-4592-9e0a-e15f48b3590a · outbound

This paper cites Inferring Astrophysical Parameters of Core-Collapse Supernovae from their Gravitational-Wave Emission.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Inferring Astrophysical Parameters of Core-Collapse Supernovae from their Gravitational-Wave Emission

Reference 4

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Observation b0a43e79-3b4a-4699-ae09-116078b71025 · outbound

This paper cites Observing Gravitational Waves from Core-Collapse Supernovae in the Advanced Detector Era.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Observing Gravitational Waves from Core-Collapse Supernovae in the Advanced Detector Era

Reference 5

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Observation 0ff44c3e-e2ee-48fd-b6c9-523c74d97d35 · outbound

This paper cites Detecting and reconstructing gravitational waves from the next Galactic core-collapse supernova in the Advanced Detector Era.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Detecting and reconstructing gravitational waves from the next Galactic core-collapse supernova in the Advanced Detector Era

Reference 6

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Observation f2962a95-c284-4f66-a74c-c574c7dcfe80 · outbound

This paper cites Detection Prospects of Core-Collapse Supernovae with Supernova-Optimized Third-Generation Gravitational-wave Detectors.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Detection Prospects of Core-Collapse Supernovae with Supernova-Optimized Third-Generation Gravitational-wave Detectors

Reference 7

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Observation e46a1bf3-5478-4036-9826-41972de130da · outbound

This paper cites Abdikamalov, G.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Abdikamalov, G

Reference 8

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Observation c0531fe2-4d75-4ad7-92bc-78f2909d3eee · outbound

This paper cites Gravitational Waves from Neutrino-Driven Core Collapse Supernovae: Predictions, Detection, and Parameter Estimation.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Gravitational Waves from Neutrino-Driven Core Collapse Supernovae: Predictions, Detection, and Parameter Estimation

Reference 9

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Observation 255b4799-adae-4c6a-b8c5-a583a71a3422 · outbound

This paper cites Core-Collapse Supernovae and their Gravitational Wave Signals: The Status of Theory and Modeling.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Core-Collapse Supernovae and their Gravitational Wave Signals: The Status of Theory and Modeling

Reference 10

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Observation 3187b4a8-108a-415f-bad3-5a4b7973aeac · outbound

This paper cites Burrows and J.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Burrows and J

Reference 11

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Observation 1e4aa790-0713-4460-b7e0-7272a6750742 · outbound

This paper cites Conditions for Shock Revival by Neutrino Heating in Core-Collapse Supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Conditions for Shock Revival by Neutrino Heating in Core-Collapse Supernovae

Reference 12

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Observation eb207bb0-fa47-4a9c-92e0-eb346c40dbb1 · outbound

This paper cites Hydrodynamics of core-collapse supernovae and their progenitors.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Hydrodynamics of core-collapse supernovae and their progenitors

Reference 13

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Observation b9d85577-772d-46c3-a879-35dc4c674481 · outbound

This paper cites Spherically Symmetric Simulation with Boltzmann Neutrino Transport of Core Collapse and Post-Bounce Evolution of a 15 Solar Mass Star.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Spherically Symmetric Simulation with Boltzmann Neutrino Transport of Core Collapse and Post-Bounce Evolution of a 15 Solar Mass Star

Reference 14

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Observation a07c9f5f-9885-47c2-bfa2-88a534d48c34 · outbound

This paper cites The Progenitor Dependence of the Preexplosion Neutrino Emission in Core-Collapse Supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves The Progenitor Dependence of the Preexplosion Neutrino Emission in Core-Collapse Supernovae

Reference 15

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Observation e4af6eb2-cbdf-491a-a03d-4ef19bcb0d5e · outbound

This paper cites Two-Dimensional Hydrodynamic Core-Collapse Supernova Simulations with Spectral Neutrino Transport II. Models for Different Progenitor Stars.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Two-Dimensional Hydrodynamic Core-Collapse Supernova Simulations with Spectral Neutrino Transport II. Models for Different Progenitor Stars

Reference 16

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Observation 76c7b2a4-ea39-489c-994b-467387081a8c · outbound

This paper cites The Development of Explosions in Axisymmetric Ab Initio Core-Collapse Supernova Simulations of 12-25 $M_\odot$ Stars.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves The Development of Explosions in Axisymmetric Ab Initio Core-Collapse Supernova Simulations of 12-25 $M_\odot$ Stars

Reference 17

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Observation 788970ff-a125-42e1-b008-2bbc64ffceea · outbound

This paper cites Impact of Neutrino Opacities on Core-Collapse Supernova Simulations.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Impact of Neutrino Opacities on Core-Collapse Supernova Simulations

Reference 18

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Observation 3a957f71-04f0-448a-87e8-7765cbb67eaf · outbound

This paper cites Stability of Standing Accretion Shocks, With an Eye Toward Core Collapse Supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Stability of Standing Accretion Shocks, With an Eye Toward Core Collapse Supernovae

Reference 19

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Observation 3e35f896-3a0b-4809-a9cb-1378443cf079 · outbound

This paper cites Foglizzo, L.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Foglizzo, L

Reference 20

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Observation 36b88309-5769-4a5b-bcad-4b6d24bdaae1 · outbound

This paper cites New Two-Dimensional Models of Supernova Explosions by the Neutrino-Heating Mechanism: Evidence for Different Instability Regimes in Collapsing Stellar Cores.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves New Two-Dimensional Models of Supernova Explosions by the Neutrino-Heating Mechanism: Evidence for Different Instability Regimes in Collapsing Stellar Cores

Reference 21

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Observation 59cc2657-bf18-4ede-87bf-3be520bb1e77 · outbound

This paper cites The Three Dimensional Evolution to Core Collapse of a Massive Star.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves The Three Dimensional Evolution to Core Collapse of a Massive Star

Reference 22

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Observation ecfabff5-443d-4e31-a7d6-d690d766f370 · outbound

This paper cites Supernova Simulations from a 3D Progenitor Model -- Impact of Perturbations and Evolution of Explosion Properties.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Supernova Simulations from a 3D Progenitor Model -- Impact of Perturbations and Evolution of Explosion Properties

Reference 23

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Observation 573d8073-9fc5-4b62-a2fb-3de0752a11a1 · outbound

This paper cites The impact of progenitor asymmetries on the neutrino-driven convection in core-collapse supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves The impact of progenitor asymmetries on the neutrino-driven convection in core-collapse supernovae

Reference 24

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Observation 9b5ef347-dfa9-4410-8a8e-7062ff921f82 · outbound

This paper cites Convective vortices in collapsing stars.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Convective vortices in collapsing stars

Reference 25

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Observation af6315d0-ea3d-43c8-a5ee-d952248e68b6 · outbound

This paper cites Presupernova Evolution of Differentially Rotating Massive Stars Including Magnetic Fields.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Presupernova Evolution of Differentially Rotating Massive Stars Including Magnetic Fields

Reference 26

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Observation 0f51f098-d63a-42a3-bb96-122e86b4128a · outbound

This paper cites Initial spin periods of neutron stars in supernova remnants.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Initial spin periods of neutron stars in supernova remnants

Reference 27

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Observation d4dc9dd7-cb9d-444e-a081-480a05ff3782 · outbound

This paper cites Burrows, L.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Burrows, L

Reference 28

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Observation f7f8f244-9e58-4f52-80a9-0150e361cdf8 · outbound

This paper cites Magnetorotational Core-Collapse Supernovae in Three Dimensions.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Magnetorotational Core-Collapse Supernovae in Three Dimensions

Reference 29

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Observation 2935e291-39da-4fb5-9c8f-0472f329248c · outbound

This paper cites Magnetorotational Explosion of A Massive Star Supported by Neutrino Heating in General Relativistic Three Dimensional Simulations.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Magnetorotational Explosion of A Massive Star Supported by Neutrino Heating in General Relativistic Three Dimensional Simulations

Reference 30

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Observation 87d1a991-470b-464a-b4ab-ac3c8debe526 · outbound

This paper cites Magnetorotational core collapse of possible GRB progenitors. I. Explosion mechanisms.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Magnetorotational core collapse of possible GRB progenitors. I. Explosion mechanisms

Reference 31

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Observation 2ca2a82c-1098-4e4b-b679-17912bca97c1 · outbound

This paper cites Three-dimensional core-collapse supernovae with complex magnetic structures: I. Explosion dynamics.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Three-dimensional core-collapse supernovae with complex magnetic structures: I. Explosion dynamics

Reference 32

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Observation 5da63084-4d7a-44b8-bef4-b27752f803ea · outbound

This paper cites Observational signatures of stellar explosions driven by relativistic jets.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Observational signatures of stellar explosions driven by relativistic jets

Reference 33

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Observation 170debac-a4f5-4458-a026-4150e0ca3e8a · outbound

This paper cites The velocity distribution of outflows driven by choked jets in stellar envelopes.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves The velocity distribution of outflows driven by choked jets in stellar envelopes

Reference 34

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source=pdf_text observed=2026-08-04T05:43:25.889321Z digest=sha256:71620cc6471c966a41ae7f749711a9ca09364f5d992392ab1e6e11281b30e131

Observation d7c1eae7-1fd5-4c83-87f8-822746f82989 · outbound

This paper cites Three-dimensional simulations of rapidly rotating core-collapse supernovae: finding a neutrino-powered explosion aided by non-axisymmetric flows.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Three-dimensional simulations of rapidly rotating core-collapse supernovae: finding a neutrino-powered explosion aided by non-axisymmetric flows

Reference 35

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source=pdf_text observed=2026-08-04T05:43:25.993074Z digest=sha256:2e1054c4f001cdd1bba4f334c60a2a7fa89a22ac633ee0bbfecc1f2d9a9102ed

Observation 4bc14d9e-c5c8-4c4d-8b31-5b4d02f2f8c5 · outbound

This paper cites Rotation-supported Neutrino-driven Supernova Explosions in Three Dimensions and the Critical Luminosity Condition.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Rotation-supported Neutrino-driven Supernova Explosions in Three Dimensions and the Critical Luminosity Condition

Reference 36

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source=pdf_text observed=2026-08-04T05:43:26.089923Z digest=sha256:1f84fb0de22b396c34683144440d25a32c41dc3cd5de615bc5af3b8d840305fe

Observation 910cb508-3076-4310-85c6-f8c2265edd43 · outbound

This paper cites Abdikamalov, T.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Abdikamalov, T

Reference 37

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source=pdf_text observed=2026-08-04T05:43:26.171078Z digest=sha256:1def105a4a9d1feaf54fc99da1ade767a0e8d3f33c5745ff0ad91db94e849a56

Observation 59dd4da2-8229-4052-ab57-ca86c262ade1 · outbound

This paper cites Effect of stellar rotation on the development of post-shock instabilities during core-collapse supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Effect of stellar rotation on the development of post-shock instabilities during core-collapse supernovae

Reference 38

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source=pdf_text observed=2026-08-04T05:43:26.267463Z digest=sha256:fd5d2a1d510e510cd3812b61d81da4c15341dbea01a2563350ed4d2b82bd17cf

Observation 9a240099-5fb4-4b80-801f-5f0264cb841e · outbound

This paper cites The gravitational-wave emission from the explosion of a 15 solar mass star with rotation and magnetic fields.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves The gravitational-wave emission from the explosion of a 15 solar mass star with rotation and magnetic fields

Reference 39

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source=pdf_text observed=2026-08-04T05:43:26.438347Z digest=sha256:8e42135bc19e0d2c01d605923ad673737391c68951d73a562eeac92a482d47c1

Observation b00643ca-806b-4564-86e0-56dd1bc90942 · outbound

This paper cites A Model for Gravitational Wave Emission from Neutrino-Driven Core-Collapse Supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves A Model for Gravitational Wave Emission from Neutrino-Driven Core-Collapse Supernovae

Reference 40

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source=pdf_text observed=2026-08-04T05:43:26.568062Z digest=sha256:c3afa0ddd96dbd83faec2d959c0791904cc481149dc895e817035b4d6002de93

Observation 47d70c4f-c42a-4564-9521-edff0ee27b7d · outbound

This paper cites The gravitational wave signal from core-collapse supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves The gravitational wave signal from core-collapse supernovae

Reference 41

Resolution
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no resolver link, observed 2026-08-04T05:43:26.738012Z

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source=pdf_text observed=2026-08-04T05:43:26.738012Z digest=sha256:b0d03adf002bf12b3b31e4d7dc37bf145a11ddcb106487a0b3ce1dd5399a8ce0

Observation 2e42c984-289c-435a-b04b-0b609f78ede0 · outbound

This paper cites General-Relativistic Simulations of Three-Dimensional Core-Collapse Supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves General-Relativistic Simulations of Three-Dimensional Core-Collapse Supernovae

Reference 42

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source=pdf_text observed=2026-08-04T05:43:26.916692Z digest=sha256:3c8e28209abea17bfb6c7903026b10c8f19eb7974697adcc44979e234a4a1008

Observation 8202f05a-8af8-4654-8fb5-496ba4db7c99 · outbound

This paper cites Gravitational Wave Signatures of Ab Initio Two-Dimensional Core Collapse Supernova Explosion Models for 12-25 Solar Masses Stars.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Gravitational Wave Signatures of Ab Initio Two-Dimensional Core Collapse Supernova Explosion Models for 12-25 Solar Masses Stars

Reference 43

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source=pdf_text observed=2026-08-04T05:43:27.012164Z digest=sha256:b1dd1d5f832756a71497d6aa9a00188be401b3f0b8c4e0c4cb1abdcd4a36597e

Observation a02e46af-42c1-4177-9a1f-0bdbf2b41a81 · outbound

This paper cites A New Gravitational-Wave Signature from Standing Accretion Shock Instabilities in Supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves A New Gravitational-Wave Signature from Standing Accretion Shock Instabilities in Supernovae

Reference 44

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unresolved
no resolver link, observed 2026-08-04T05:43:27.077675Z

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source=pdf_text observed=2026-08-04T05:43:27.077675Z digest=sha256:803129db3f606c58f3b7906ff006eae2675238cb31e45cfdf14ad668c848c5d1

Observation 63927295-4987-4ff7-ab58-19556030b97d · outbound

This paper cites Universal relations for gravitational-wave asteroseismology of proto-neutron stars.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Universal relations for gravitational-wave asteroseismology of proto-neutron stars

Reference 45

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no resolver link, observed 2026-08-04T05:43:27.157799Z

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source=pdf_text observed=2026-08-04T05:43:27.157799Z digest=sha256:7254b4a6859b9d60c90291e3a459af31e6416b83e96eb8774142f04c00e5de39

Observation 8c7bfd43-6a85-466f-993d-512acc68ce79 · outbound

This paper cites Core Collapse Supernova Gravitational Wave Emission for Progenitors of 9.6, 15, and 25 Solar Masses.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Core Collapse Supernova Gravitational Wave Emission for Progenitors of 9.6, 15, and 25 Solar Masses

Reference 46

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source=pdf_text observed=2026-08-04T05:43:27.232217Z digest=sha256:07ddc06414dff8b9e9dbd8da40aaeb4d85ca651183b496ce23abb0dfc543245b

Observation 5ef11e6d-03db-460c-b28d-71a792ee67ec · outbound

This paper cites The Gravitational-Wave Signature of Core-Collapse Supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves The Gravitational-Wave Signature of Core-Collapse Supernovae

Reference 47

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source=pdf_text observed=2026-08-04T05:43:27.316042Z digest=sha256:a815285082e8d9c2b5bd9fcd3d8560ba386b01914ed4fd1895fc5a75c412493e

Observation dccfbb5b-7104-4c15-9ca2-7871916ebd0f · outbound

This paper cites Universality in supernova gravitational waves with proto-neutron star properties.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Universality in supernova gravitational waves with proto-neutron star properties

Reference 48

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source=pdf_text observed=2026-08-04T05:43:27.448355Z digest=sha256:97a61c62f6781c693196416848988b16d38b5119188d22a629188a1b5eb3b387

Observation 2ef69268-ecd1-4f51-941d-74ddb7505a6d · outbound

This paper cites Ehring, S.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Ehring, S

Reference 49

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source=pdf_text observed=2026-08-04T05:43:27.691028Z digest=sha256:cad79500dd22eecc9ac7d98fe5e828adf9313a48ce6d0ce588a27efd124bed94

Observation 00af0e29-177c-472b-94fd-5d64c2e6dd7d · outbound

This paper cites Lella, G.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Lella, G

Reference 50

Resolution
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no resolver link, observed 2026-08-04T05:43:27.763200Z

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source=pdf_text observed=2026-08-04T05:43:27.763200Z digest=sha256:98940d4fee72e1057f76ab41218884573befd031b315ab694dc015b70bc925d2

Observation 830d083e-d084-4ee1-9878-b6b5e83cf897 · outbound

This paper cites Correlated Gravitational Wave and Neutrino Signals from General-Relativistic Rapidly Rotating Iron Core Collapse.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Correlated Gravitational Wave and Neutrino Signals from General-Relativistic Rapidly Rotating Iron Core Collapse

Reference 51

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source=pdf_text observed=2026-08-04T05:43:27.875760Z digest=sha256:d47c39b3b5065e291b6a05b227e359ecfdb2c2c68fbc53e1e4a52294fbe033b1

Observation 97c90e9d-045f-42c3-b7ee-849942ea0e80 · outbound

This paper cites Supernova Seismology: Gravitational Wave Signatures of Rapidly Rotating Core Collapse.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Supernova Seismology: Gravitational Wave Signatures of Rapidly Rotating Core Collapse

Reference 52

Resolution
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no resolver link, observed 2026-08-04T05:43:28.006274Z

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source=pdf_text observed=2026-08-04T05:43:28.006274Z digest=sha256:46859c696506d90bdef114c5b3a966afac3b004e39a069c06102f709bb3e1d66

Observation b570bd15-ce15-4b54-b500-f3f94e59e0e8 · outbound

This paper cites Gravitational waves from 3D MHD core collapse simulations.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Gravitational waves from 3D MHD core collapse simulations

Reference 53

Resolution
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no resolver link, observed 2026-08-04T05:43:28.088011Z

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source=pdf_text observed=2026-08-04T05:43:28.088011Z digest=sha256:410930ba176439c282ff1696940473a914597069d3b5b792c71a4693ec5f9c6c

Observation 85a98deb-0157-421c-9a1a-74e5b601b8e4 · outbound

This paper cites A New Gravitational Wave Signature of Low-$T/|W|$ Instability in Rapidly Rotating Stellar Core Collapse.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves A New Gravitational Wave Signature of Low-$T/|W|$ Instability in Rapidly Rotating Stellar Core Collapse

Reference 54

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source=pdf_text observed=2026-08-04T05:43:28.301320Z digest=sha256:e83cdb5d2ecd384ac6c8bbee3bd5497d0c8187abe05e883adac30f4d1228bd3d

Observation 31d49506-6c1b-4a56-a320-406cb902cd9a · outbound

This paper cites Mueller and H.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Mueller and H

Reference 55

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source=pdf_text observed=2026-08-04T05:43:28.421506Z digest=sha256:d0c2d13b1fea7a1b6afbd93078c857887d7bbb925750392a90c8255b7cd407e1

Observation a6cc6696-2fb2-4ef0-94e3-35c7d77fc561 · outbound

This paper cites Gravitational-Wave and Gravitational-Wave Memory Signatures of Core-Collapse Supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Gravitational-Wave and Gravitational-Wave Memory Signatures of Core-Collapse Supernovae

Reference 56

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unresolved
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source=pdf_text observed=2026-08-04T05:43:28.510263Z digest=sha256:90d01cca22b1c673346080f3cf1414b1c520373a5606ce7efa21ebeeb088caec

Observation b5c9a761-9e7c-4fce-948c-93d0ab542b61 · outbound

This paper cites Parametrized 3D models of neutrino-driven supernova explosions: Neutrino emission asymmetries and gravitational-wave signals.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Parametrized 3D models of neutrino-driven supernova explosions: Neutrino emission asymmetries and gravitational-wave signals

Reference 57

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source=pdf_text observed=2026-08-04T05:43:28.629001Z digest=sha256:96f639876d38377d491e71067962423c9d09f08f16ca9acfaa6b6ccd3a9ce488

Observation 9183eacd-2b91-4c40-8e83-ad95f1813049 · outbound

This paper cites Characterizing the Gravitational Wave Signal from Core-Collapse Supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Characterizing the Gravitational Wave Signal from Core-Collapse Supernovae

Reference 58

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source=pdf_text observed=2026-08-04T05:43:28.759776Z digest=sha256:87f0518d45e38dc3d210e1b6a36fef3a45e8b6905db7ec232b3d6178fc91280b

Observation 1e44230c-8694-481c-b0a7-39b278bac00f · outbound

This paper cites Gravitational Wave Memory from Gamma Ray Bursts' Jets.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Gravitational Wave Memory from Gamma Ray Bursts' Jets

Reference 59

Resolution
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source=pdf_text observed=2026-08-04T05:43:28.888694Z digest=sha256:a7707537e8edfc7581c40b252eb92cea83dd57ff871cb246aef72e623aeb9bd3

Observation dc7f39f9-05f4-4dee-b0fa-38eb4a08511c · outbound

This paper cites Jetted and Turbulent Stellar Deaths: New LVK-Detectable Gravitational Wave Sources.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Jetted and Turbulent Stellar Deaths: New LVK-Detectable Gravitational Wave Sources

Reference 60

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source=pdf_text observed=2026-08-04T05:43:29.068939Z digest=sha256:e13316be46ab91e136a32b4bff5abfea78364216f638a11a6ded2e676effaa6b

Observation 5da45ebe-a55f-4974-b709-1598416f7449 · outbound

This paper cites Cusinato, M.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Cusinato, M

Reference 61

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no resolver link, observed 2026-08-04T05:43:29.143125Z

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source=pdf_text observed=2026-08-04T05:43:29.143125Z digest=sha256:1605413df121ad80777e84d9ec1f3012882ddd7191d44a2635de27da457b0dd8

Observation 0ab82dcd-ae44-4609-b813-f730a3025880 · outbound

This paper cites Measuring the Angular Momentum Distribution in Core-Collapse Supernova Progenitors with Gravitational Waves.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Measuring the Angular Momentum Distribution in Core-Collapse Supernova Progenitors with Gravitational Waves

Reference 62

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source=pdf_text observed=2026-08-04T05:43:29.194786Z digest=sha256:3e7b1b1f98f948cc98f607036d99025176e8bf2611bf21d3f856987c6321972b

Observation 8519bacb-5aea-4027-a9c5-cb56cf59d429 · outbound

This paper cites Features of Accretion-phase Gravitational-wave Emission from Two-dimensional Rotating Core-collapse Supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Features of Accretion-phase Gravitational-wave Emission from Two-dimensional Rotating Core-collapse Supernovae

Reference 63

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source=pdf_text observed=2026-08-04T05:43:29.262089Z digest=sha256:de498fec1d8cbfdde404bd35ddf19d267cf992f2817bace1762536c0a67fd732

Observation ded7b7f0-81ce-40a8-89a8-0a1cce1078d6 · outbound

This paper cites Inferring Core-Collapse Supernova Physics with Gravitational Waves.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Inferring Core-Collapse Supernova Physics with Gravitational Waves

Reference 64

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source=pdf_text observed=2026-08-04T05:43:29.395073Z digest=sha256:166a4fd211108021ac829d75ef7ddce59a69598d2c1207a6cdf36eba8e2341af

Observation 62e529d1-a47e-49b9-bfcb-feef40b6528f · outbound

This paper cites Determining the core-collapse supernova explosion mechanism with current and future gravitational-wave observatories.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Determining the core-collapse supernova explosion mechanism with current and future gravitational-wave observatories

Reference 65

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source=pdf_text observed=2026-08-04T05:43:29.497575Z digest=sha256:87c62b468b253b2fa33ecce6b25ebebff776d8776be378f34202b8f2c6913d61

Observation cebe4adf-ab22-4618-9702-01ce055e368f · outbound

This paper cites Inference of proto-neutron star properties from gravitational-wave data in core-collapse supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Inference of proto-neutron star properties from gravitational-wave data in core-collapse supernovae

Reference 66

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source=pdf_text observed=2026-08-04T05:43:29.621210Z digest=sha256:36371b2c28a37f08c80d36be13b6c72b382686cf99d70fc3cc783d4712c6561c

Observation f9c3c182-5918-44ab-8909-c6657471974b · outbound

This paper cites Universal relation for supernova gravitational waves.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Universal relation for supernova gravitational waves

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-04T05:43:29.705140Z

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source=pdf_text observed=2026-08-04T05:43:29.705140Z digest=sha256:7778f7fa2e0929a63e6dab4de8523e19ee5eb387869aa35e1543c57598161a4e

Observation 678aa698-3959-4264-8fe4-bda96d1d12fc · outbound

This paper cites Inference of proto-neutron star properties in core-collapse supernovae from a gravitational-wave detector network.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Inference of proto-neutron star properties in core-collapse supernovae from a gravitational-wave detector network

Reference 68

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unresolved
no resolver link, observed 2026-08-04T05:43:29.765576Z

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source=pdf_text observed=2026-08-04T05:43:29.765576Z digest=sha256:026f10646a0c6f79671413140f4957d3268a91be022032daea6bc343c800d109

Observation 1343bcc4-56e2-4204-9ad5-6395faf43569 · outbound

This paper cites Casallas-Lagos, J.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Casallas-Lagos, J

Reference 69

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Observation 9ccf992c-bcc7-4c39-a1a4-910e32995055 · outbound

This paper cites Equation of State Effects on Gravitational Waves from Rotating Core Collapse.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Equation of State Effects on Gravitational Waves from Rotating Core Collapse

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Observation 3c759a69-9635-45f0-ac51-f899d2f1bf66 · outbound

This paper cites Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning

Reference 71

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Observation 944fdfb7-b35a-494f-85b7-18c3b548f96f · outbound

This paper cites Determine the Core Structure and Nuclear Equation of State of Rotating Core-Collapse Supernovae with Gravitational Waves by Convolutional Neural Networks.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Determine the Core Structure and Nuclear Equation of State of Rotating Core-Collapse Supernovae with Gravitational Waves by Convolutional Neural Networks

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Observation a89408be-2af0-4658-a1d3-c5b917875620 · outbound

This paper cites Gravitational Wave Eigenfrequencies from Neutrino-Driven Core-Collapse Supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Gravitational Wave Eigenfrequencies from Neutrino-Driven Core-Collapse Supernovae

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Observation 9dc22440-398f-46d2-af67-d458a16198f6 · outbound

This paper cites Dependence of the Reconstructed Core-Collapse Supernova Gravitational Wave High-Frequency Feature on the Nuclear Equation of State, in Real Interferometric Data.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Dependence of the Reconstructed Core-Collapse Supernova Gravitational Wave High-Frequency Feature on the Nuclear Equation of State, in Real Interferometric Data

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Observation 8cb1193c-4c5d-4d99-af69-1caa14d221d8 · outbound

This paper cites Probing nuclear physics with supernova gravitational waves and machine learning.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Probing nuclear physics with supernova gravitational waves and machine learning

Reference 75

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source=pdf_text observed=2026-08-04T05:43:30.459028Z digest=sha256:83e78e26eadd66d8ab5a87de5a9e4db7657b7983028a0737e6e8f539d93ddd1f

Observation cb7395fa-613f-4cd5-a519-b3166d2ec917 · outbound

This paper cites Evaluating Machine Learning Models for Supernova Gravitational Wave Signal Classification.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Evaluating Machine Learning Models for Supernova Gravitational Wave Signal Classification

Reference 76

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Observation 79b83acd-59f5-4c38-9025-387a59e53291 · outbound

This paper cites Sultan Abylkairov, M.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Sultan Abylkairov, M

Reference 77

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source=pdf_text observed=2026-08-04T05:43:30.643803Z digest=sha256:bc289f3fbd6d88aeebe7014f229b64c24b1d4ab0175701f468cea7e61250dd06

Observation be82ea40-a6c6-4b74-9403-9478b02f6a92 · outbound

This paper cites GWTC-4.0: An Introduction to Version 4.0 of the Gravitational-Wave Transient Catalog.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves GWTC-4.0: An Introduction to Version 4.0 of the Gravitational-Wave Transient Catalog

Reference 78

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source=pdf_text observed=2026-08-04T05:43:30.756046Z digest=sha256:f4c4045a472d7dc88fc37ad7b965773c91f66f8850c3ecdb3110fc122be2c0bc

Observation 06788279-6617-425d-ac35-3c022aa1553d · outbound

This paper cites Progenitors of core-collapse supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Progenitors of core-collapse supernovae

Reference 79

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source=pdf_text observed=2026-08-04T05:43:30.836035Z digest=sha256:f5bf8676f3f3a30e328af11da6d31f5eb3d1d3abce008ef5ab0209d0eca3c4d2

Observation f3194d96-8031-4762-8bf0-8de7b84acd20 · outbound

This paper cites High Resolution Study of Presupernova Compactness.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves High Resolution Study of Presupernova Compactness

Reference 80

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Observation 93d6d535-1dda-446b-b7b9-18a5085452b6 · outbound

This paper cites Neutrinos from Supernovae as a Trigger for Gravitational Wave Search.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Neutrinos from Supernovae as a Trigger for Gravitational Wave Search

Reference 81

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source=pdf_text observed=2026-08-04T05:43:31.015164Z digest=sha256:0db74e0d9d1fb4d3670cabe6fa1c48a09b67ab776ffaf0fdf0008e7e9eb7ee1b

Observation bad2fcbc-d82d-44cf-9cd0-f55aff16b1e9 · outbound

This paper cites Reconstructing the supernova bounce time with neutrinos in IceCube.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Reconstructing the supernova bounce time with neutrinos in IceCube

Reference 82

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Observation 9c9b64ea-97cd-4a29-a04d-5da3cdd83735 · outbound

This paper cites Relativistic simulations of rotational core collapse. I. Methods, initial models, and code tests.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Relativistic simulations of rotational core collapse. I. Methods, initial models, and code tests

Reference 83

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source=pdf_text observed=2026-08-04T05:43:31.303572Z digest=sha256:5673887306d01e43d740b50b0e8abfeadffa76a0cd037a757c9a462e94250d29

Observation 518cba2e-fe4f-46fe-8f65-f0d88e912b4e · outbound

This paper cites "Mariage des Maillages": A new numerical approach for 3D relativistic core collapse simulations.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves "Mariage des Maillages": A new numerical approach for 3D relativistic core collapse simulations

Reference 84

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source=pdf_text observed=2026-08-04T05:43:31.449091Z digest=sha256:d0c3503178ab8f6d49893443acbf6127a850779287bdcccc87dc97761269b997

Observation d9d9397d-2211-4190-8d2c-ad23257162ca · outbound

This paper cites Exploring Supernova Gravitational Waves with Machine Learning.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Exploring Supernova Gravitational Waves with Machine Learning

Reference 85

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Observation e0d4549d-78e4-4578-bd20-68fac5457d10 · outbound

This paper cites an unresolved cited work.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Unresolved cited work

Reference 86

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Observation 4d5f5a99-0c5c-4a8b-b101-5c6d6ea4d138 · outbound

This paper cites A simple parameterization of the consequences of deleptonization for simulations of stellar core collapse.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves A simple parameterization of the consequences of deleptonization for simulations of stellar core collapse

Reference 87

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Observation 67ae4465-fe6a-4312-b257-0472e9dbdbb8 · outbound

This paper cites Nucleosynthesis and Remnants in Massive Stars of Solar Metallicity.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Nucleosynthesis and Remnants in Massive Stars of Solar Metallicity

Reference 88

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Observation 45aecae4-f3ff-4fed-b650-de161712b2d0 · outbound

This paper cites Heger, S.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Heger, S

Reference 89

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Observation 9105b3b1-9817-4196-ba08-a3171351a975 · outbound

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Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Unresolved cited work

Reference 90

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Observation 400b100c-1bc2-43d9-beb3-2a515b7920d1 · outbound

This paper cites Core-collapse supernova equations of state based on neutron star observations.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Core-collapse supernova equations of state based on neutron star observations

Reference 91

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Observation f223b9db-bef2-44dd-b3db-e1e381a5e479 · outbound

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Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Unresolved cited work

Reference 92

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Observation a58e6522-06d4-448f-a697-409207a966e3 · outbound

This paper cites Statistical Model for a Complete Supernova Equation of State.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Statistical Model for a Complete Supernova Equation of State

Reference 93

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Observation 83e8dc52-c93b-4150-8531-967474b51bd8 · outbound

This paper cites New Equations of State in Simulations of Core-Collapse Supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves New Equations of State in Simulations of Core-Collapse Supernovae

Reference 94

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Observation 53a998c4-8c74-4aa7-b1ae-8d8c017abebe · outbound

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Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Unresolved cited work

Reference 95

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Observation e8ebd647-dda4-4f65-9d0a-a2b997d9a6f7 · outbound

This paper cites Dimensional Dependence of the Hydrodynamics of Core-Collapse Supernovae.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Dimensional Dependence of the Hydrodynamics of Core-Collapse Supernovae

Reference 96

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Observation 905a6b12-d3a3-42a5-b034-8b140d58d628 · outbound

This paper cites The Dynamics of Neutrino-Driven Supernova Explosions after Shock Revival in 2D and 3D.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves The Dynamics of Neutrino-Driven Supernova Explosions after Shock Revival in 2D and 3D

Reference 97

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Observation abe7701f-c27a-4c24-832f-245094cb6bf5 · outbound

This paper cites Magnetar formation through a convective dynamo in protoneutron stars.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Magnetar formation through a convective dynamo in protoneutron stars

Reference 98

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source=pdf_text observed=2026-08-04T05:43:33.144601Z digest=sha256:170af11534366529bae615d4fdfc3df309087e725c114f10936b59ffb27c68f3

Observation 803c2638-55cf-4a24-b20d-d4bcbfe7441c · outbound

This paper cites Neutrino-Driven Convection in Core-Collapse Supernovae: High-Resolution Simulations.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Neutrino-Driven Convection in Core-Collapse Supernovae: High-Resolution Simulations

Reference 99

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source=pdf_text observed=2026-08-04T05:43:33.330844Z digest=sha256:2bfbea2735238e7c293c550baf7a9b5f3a2c711220b1ae978a6347558917f472

Observation a1419f60-0ab3-4541-99ac-b462c1ff441f · outbound

This paper cites an unresolved cited work.

Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Unresolved cited work

Reference 100

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source=pdf_text observed=2026-08-04T05:43:33.431803Z digest=sha256:23557e478b2b9bd4028ef6897f4e9abe304da66e5b149924e0997690f74e4851

Pith citing papers

Observation a9cfe0e0-9bfc-44ac-9d96-f3db7e10c30e · inbound

Parameter Estimation Horizon of Core-Collapse Supernovae with Current and Next-Generation Gravitational-Wave Detectors cites this paper.

Parameter Estimation Horizon of Core-Collapse Supernovae with Current and Next-Generation Gravitational-Wave Detectors Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves

Reference 87

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T15:59:11.556246Z digest=sha256:90fd44a46a888bd9f8fa7efb9c91a31bc966d60bfa59541dd1e61956c852c612

Observation 2df88077-abb2-453a-8d6e-280f46350080 · inbound

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Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves

Reference 119

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Observation bec93817-358a-4da7-95a2-c191d25e95ca · inbound

The Generalization Gap in Machine Learning EoS Inference from Core-Collapse Supernova Gravitational Waves cites this paper.

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Reference 26

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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