Paper Citation Record · LEDGER

Applications of machine learning in gravitational wave research with current interferometric detectors

As of 19 August 2026, this Paper Citation Record lists 100 of 296 outbound references and 13 inbound Pith citation observations for arXiv:2412.15046.

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

pith.paper-citation-record.v1
2412.15046 v1

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measured 100 of 296 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-11T11:42:49.925852Z

measured 113 of 113 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:44:03.485056Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a2efc6ad-1819-4cf8-a9b8-9f3414d585ac · outbound

This paper cites Advanced LIGO.

Applications of machine learning in gravitational wave research with current interferometric detectors Advanced LIGO

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.427903Z

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Observation b9e7e2b6-a0bb-4c68-aed9-b3699134680c · outbound

This paper cites Ultralight vector dark matter search using data from the KAGRA O3GK run.

Applications of machine learning in gravitational wave research with current interferometric detectors Ultralight vector dark matter search using data from the KAGRA O3GK run

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.434460Z

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Observation 9efe7e49-5ffd-4980-99a8-81805c2ef8e1 · outbound

This paper cites All-sky search for gravitational-wave bursts in the second joint LIGO-Virgo run.

Applications of machine learning in gravitational wave research with current interferometric detectors All-sky search for gravitational-wave bursts in the second joint LIGO-Virgo run

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.439602Z

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Observation 304f62c5-d009-4b3e-99ed-bb20edc4100e · outbound

This paper cites Characterization of transient noise in Advanced LIGO relevant to gravitational wave signal GW150914.

Applications of machine learning in gravitational wave research with current interferometric detectors Characterization of transient noise in Advanced LIGO relevant to gravitational wave signal GW150914

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.450074Z

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Observation 3fe287d6-91b7-4e58-bc5a-3a1c1072b913 · outbound

This paper cites Observation of Gravitational Waves from a Binary Black Hole Merger.

Applications of machine learning in gravitational wave research with current interferometric detectors Observation of Gravitational Waves from a Binary Black Hole Merger

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.454669Z

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Observation aa383dc9-2af8-4cbb-a814-02ad5409c1ae · outbound

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

Applications of machine learning in gravitational wave research with current interferometric detectors Exploring the Sensitivity of Next Generation Gravitational Wave Detectors

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.460599Z

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Observation 5c874f57-45f5-435c-90dc-c32d62a426a7 · outbound

This paper cites Gravitational Waves and Gamma-rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A.

Applications of machine learning in gravitational wave research with current interferometric detectors Gravitational Waves and Gamma-rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.465628Z

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Observation 7f47bb57-56b6-445d-8221-41972c170ca0 · outbound

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

Applications of machine learning in gravitational wave research with current interferometric detectors GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.470728Z

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Observation 8ef9b88e-00e0-404c-8c8d-edce6686089c · outbound

This paper cites Multi-messenger Observations of a Binary Neutron Star Merger.

Applications of machine learning in gravitational wave research with current interferometric detectors Multi-messenger Observations of a Binary Neutron Star Merger

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.475705Z

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Observation 13247ec0-9bb5-45b9-9de6-eaa244b90553 · outbound

This paper cites Effects of Data Quality Vetoes on a Search for Compact Binary Coalescences in Advanced LIGO's First Observing Run.

Applications of machine learning in gravitational wave research with current interferometric detectors Effects of Data Quality Vetoes on a Search for Compact Binary Coalescences in Advanced LIGO's First Observing Run

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.480369Z

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Observation 69050cba-e60f-43aa-9f88-6571b2b76ac3 · outbound

This paper cites Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO, Advanced Virgo and KAGRA.

Applications of machine learning in gravitational wave research with current interferometric detectors Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO, Advanced Virgo and KAGRA

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.485140Z

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Observation 94ce8ec7-f943-4879-abc3-ac3420682499 · outbound

This paper cites GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs.

Applications of machine learning in gravitational wave research with current interferometric detectors GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.489971Z

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Observation 0d98e511-24a4-4e37-9c72-d02ef96d617d · outbound

This paper cites Properties of the binary neutron star merger GW170817.

Applications of machine learning in gravitational wave research with current interferometric detectors Properties of the binary neutron star merger GW170817

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.494801Z

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Observation 428bb235-3a05-4513-81a5-82147c9f4c68 · outbound

This paper cites Search for gravitational waves from a long-lived remnant of the binary neutron star merger GW170817.

Applications of machine learning in gravitational wave research with current interferometric detectors Search for gravitational waves from a long-lived remnant of the binary neutron star merger GW170817

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.499727Z

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Observation 1185b55e-beeb-4909-8352-6a8ba579a5ec · outbound

This paper cites A guide to LIGO-Virgo detector noise and extraction of transient gravitational-wave signals.

Applications of machine learning in gravitational wave research with current interferometric detectors A guide to LIGO-Virgo detector noise and extraction of transient gravitational-wave signals

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.504455Z

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Observation cb89da81-9e09-4f19-96b9-009b693bdf76 · outbound

This paper cites GW190425: Observation of a Compact Binary Coalescence with Total Mass $\sim 3.4 M_{\odot}$.

Applications of machine learning in gravitational wave research with current interferometric detectors GW190425: Observation of a Compact Binary Coalescence with Total Mass $\sim 3.4 M_{\odot}$

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.509422Z

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Observation 52bef8ab-91e1-4802-9919-8f541eed835d · outbound

This paper cites All-sky search for short gravitational-wave bursts in the third Advanced LIGO and Advanced Virgo run.

Applications of machine learning in gravitational wave research with current interferometric detectors All-sky search for short gravitational-wave bursts in the third Advanced LIGO and Advanced Virgo run

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.514215Z

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Observation 93e13ffb-0805-401c-8754-459e658833f9 · outbound

This paper cites Phys Rev Lett 126(24):241102.

Applications of machine learning in gravitational wave research with current interferometric detectors Phys Rev Lett 126(24):241102

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.519071Z

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Observation 4dbf1ddd-8b0f-4a39-9ac9-0262fb8bfab0 · outbound

This paper cites GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run.

Applications of machine learning in gravitational wave research with current interferometric detectors GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.523587Z

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Observation 7a728719-9d2a-48cc-b81f-7fda4dac0f41 · outbound

This paper cites Observation of gravitational waves from two neutron star-black hole coalescences.

Applications of machine learning in gravitational wave research with current interferometric detectors Observation of gravitational waves from two neutron star-black hole coalescences

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.528313Z

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Observation 829457e9-3047-4a89-afc7-6eb3bb123ca0 · outbound

This paper cites SoftwareX 13:100658.

Applications of machine learning in gravitational wave research with current interferometric detectors SoftwareX 13:100658

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.533097Z

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Observation b126e094-fde9-40fc-b23d-96b920127b75 · outbound

This paper cites Search for lensing signatures in the gravitational-wave observations from the first half of LIGO-Virgo's third observing run.

Applications of machine learning in gravitational wave research with current interferometric detectors Search for lensing signatures in the gravitational-wave observations from the first half of LIGO-Virgo's third observing run

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.538049Z

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Observation 00c3effc-c0a7-4fab-9a62-96819194f2f3 · outbound

This paper cites All-sky search for gravitational wave emission from scalar boson clouds around spinning black holes in LIGO O3 data.

Applications of machine learning in gravitational wave research with current interferometric detectors All-sky search for gravitational wave emission from scalar boson clouds around spinning black holes in LIGO O3 data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.543179Z

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Observation fb8f5362-0bce-46a7-8fe8-c813d4882192 · outbound

This paper cites Constraints on dark photon dark matter using data from LIGO's and Virgo's third observing run.

Applications of machine learning in gravitational wave research with current interferometric detectors Constraints on dark photon dark matter using data from LIGO's and Virgo's third observing run

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.547992Z

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Observation 874bd740-0435-45a9-ae24-8872a83676c7 · outbound

This paper cites Search for subsolar-mass binaries in the first half of Advanced LIGO and Virgo's third observing run.

Applications of machine learning in gravitational wave research with current interferometric detectors Search for subsolar-mass binaries in the first half of Advanced LIGO and Virgo's third observing run

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.552727Z

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Observation d81c48c7-00ce-4ea9-8a32-76d9dd75e81c · outbound

This paper cites Constraints on the cosmic expansion history from GWTC-3.

Applications of machine learning in gravitational wave research with current interferometric detectors Constraints on the cosmic expansion history from GWTC-3

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.557421Z

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Observation 83a8dea2-b8c7-4d2f-847b-9d2c949b1447 · outbound

This paper cites GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run.

Applications of machine learning in gravitational wave research with current interferometric detectors GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.561998Z

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Observation 1a12aefb-7a22-4dee-8d91-97b38f19f33a · outbound

This paper cites Open data from the third observing run of LIGO, Virgo, KAGRA and GEO.

Applications of machine learning in gravitational wave research with current interferometric detectors Open data from the third observing run of LIGO, Virgo, KAGRA and GEO

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.566922Z

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Observation 83336e3e-22be-43e7-ab5f-c58f2cd1e62a · outbound

This paper cites GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run.

Applications of machine learning in gravitational wave research with current interferometric detectors GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.571657Z

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Observation 1a2abfbb-7b9f-4416-a0a3-f40d72116811 · outbound

This paper cites Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network.

Applications of machine learning in gravitational wave research with current interferometric detectors Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.576772Z

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Observation 76417075-1e3e-4c8a-903e-bfc502615f7b · outbound

This paper cites Search for gravitational-wave transients associated with magnetar bursts in Advanced LIGO and Advanced Virgo data from the third observing run.

Applications of machine learning in gravitational wave research with current interferometric detectors Search for gravitational-wave transients associated with magnetar bursts in Advanced LIGO and Advanced Virgo data from the third observing run

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.581651Z

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Observation ee81f53d-17ab-4ea1-902b-f1aa818787e7 · outbound

This paper cites GWSkyNet-Multi: A Machine Learning Multi-Class Classifier for LIGO-Virgo Public Alerts.

Applications of machine learning in gravitational wave research with current interferometric detectors GWSkyNet-Multi: A Machine Learning Multi-Class Classifier for LIGO-Virgo Public Alerts

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.591329Z

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Observation 693c9e17-9af5-4118-9589-1b29e2f438dd · outbound

This paper cites Galaxies 10(3):63.

Applications of machine learning in gravitational wave research with current interferometric detectors Galaxies 10(3):63

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.595621Z

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Observation 8510bbcf-3a70-4eaa-ba73-7a1e37a47598 · outbound

This paper cites J Phys Conf Ser 363:012037.

Applications of machine learning in gravitational wave research with current interferometric detectors J Phys Conf Ser 363:012037

Reference 36

Resolution: verified exact; doi, observed 2026-08-11T11:42:52.037249Z

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Observation a1f2a743-7a63-455a-bed8-1ee2c68df09c · outbound

This paper cites Class Quantum Grav 32(2):024001.

Applications of machine learning in gravitational wave research with current interferometric detectors Class Quantum Grav 32(2):024001

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.604654Z

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Observation 41aa6e4a-499f-46f2-9b4b-fa1653a0c21b · outbound

This paper cites Calibration of Advanced Virgo and Reconstruction of the Gravitational Wave Signal h(t) during the Observing Run O2.

Applications of machine learning in gravitational wave research with current interferometric detectors Calibration of Advanced Virgo and Reconstruction of the Gravitational Wave Signal h(t) during the Observing Run O2

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.609133Z

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Observation 073e0bfb-a72d-4ef6-a9ea-5d24f5568334 · outbound

This paper cites Class Quantum Grav 40(18):185006.

Applications of machine learning in gravitational wave research with current interferometric detectors Class Quantum Grav 40(18):185006

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.614079Z

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Observation 9dda622b-04a3-4c93-9567-ecb61dc21afc · outbound

This paper cites Class Quantum Grav 40(18):185005.

Applications of machine learning in gravitational wave research with current interferometric detectors Class Quantum Grav 40(18):185005

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.618852Z

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Observation f4d9b830-adbb-46db-a39e-e7ac680711e0 · outbound

This paper cites Waveform Modelling for the Laser Interferometer Space Antenna.

Applications of machine learning in gravitational wave research with current interferometric detectors Waveform Modelling for the Laser Interferometer Space Antenna

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.623558Z

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Observation 66efc3bc-2782-41c1-9f20-acdd66142390 · outbound

This paper cites Comparing recent PTA results on the nanohertz stochastic gravitational wave background.

Applications of machine learning in gravitational wave research with current interferometric detectors Comparing recent PTA results on the nanohertz stochastic gravitational wave background

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.628378Z

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Observation 3c1025f1-c4e2-4ff1-98bf-6065124ba610 · outbound

This paper cites Progress of Theoretical and Experimental Physics 2021(5):05A101.

Applications of machine learning in gravitational wave research with current interferometric detectors Progress of Theoretical and Experimental Physics 2021(5):05A101

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.633307Z

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Observation 9f0b7239-62ec-46b7-af0d-216294360d8f · outbound

This paper cites Applying the Viterbi Algorithm to Planetary-Mass Black Hole Searches.

Applications of machine learning in gravitational wave research with current interferometric detectors Applying the Viterbi Algorithm to Planetary-Mass Black Hole Searches

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.637955Z

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Observation 335bce91-8fab-4a58-b36b-92d8ce505218 · outbound

This paper cites Long Short-Term Memory for Early Warning Detection of Gravitational Waves.

Applications of machine learning in gravitational wave research with current interferometric detectors Long Short-Term Memory for Early Warning Detection of Gravitational Waves

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.642747Z

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Observation 6b4b09c5-e1ad-4f45-be51-46085c258b68 · outbound

This paper cites Mon Not R Astron, Soc 519(3):3843--3850.

Applications of machine learning in gravitational wave research with current interferometric detectors Mon Not R Astron, Soc 519(3):3843--3850

Reference 46

Resolution: verified exact; doi, observed 2026-08-11T11:42:51.963553Z

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 55c78da1-2159-4965-8a59-052ed5c5006e · outbound

This paper cites PyMerger: Detecting Binary Black Hole merger from Einstein Telescope Using Deep Learning.

Applications of machine learning in gravitational wave research with current interferometric detectors PyMerger: Detecting Binary Black Hole merger from Einstein Telescope Using Deep Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.652365Z

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Observation cea55810-6134-4cc9-aaae-70eec20ecee4 · outbound

This paper cites Detecting a stochastic background of gravitational radiation: Signal processing strategies and sensitivities.

Applications of machine learning in gravitational wave research with current interferometric detectors Detecting a stochastic background of gravitational radiation: Signal processing strategies and sensitivities

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.656981Z

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Observation 1d8775d2-bd55-46c2-b2f6-0d99eb38fb5a · outbound

This paper cites https://dcc.ligo.org/T040164/public.

Applications of machine learning in gravitational wave research with current interferometric detectors https://dcc.ligo.org/T040164/public

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.661949Z

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Observation 0a468ea4-5f5b-49d3-933d-79e30cf25dad · outbound

This paper cites PhD thesis, Universidad de los Andes, Bogot\'a, Colombia , ://dcc.ligo.org/LIGO-P2300230/public.

Applications of machine learning in gravitational wave research with current interferometric detectors PhD thesis, Universidad de los Andes, Bogot\'a, Colombia , ://dcc.ligo.org/LIGO-P2300230/public

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.666665Z

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Observation f963f7b3-ec82-4204-baa5-3788b09ad1be · outbound

This paper cites GSpyNetTree: A signal-vs-glitch classifier for gravitational-wave event candidates.

Applications of machine learning in gravitational wave research with current interferometric detectors GSpyNetTree: A signal-vs-glitch classifier for gravitational-wave event candidates

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.671200Z

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Observation 5f475f28-8183-4de6-aa31-aa9a039dfa1e · outbound

This paper cites Simulation-based inference for stochastic gravitational wave background data analysis.

Applications of machine learning in gravitational wave research with current interferometric detectors Simulation-based inference for stochastic gravitational wave background data analysis

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.676020Z

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Observation c028733f-935a-4a27-9f64-34eef3b75705 · outbound

This paper cites Relativistic Dynamics and Extreme Mass Ratio Inspirals.

Applications of machine learning in gravitational wave research with current interferometric detectors Relativistic Dynamics and Extreme Mass Ratio Inspirals

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.680988Z

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Observation 12bbd056-0a3b-499e-9833-b217e8c837d3 · outbound

This paper cites Laser Interferometer Space Antenna.

Applications of machine learning in gravitational wave research with current interferometric detectors Laser Interferometer Space Antenna

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.685914Z

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Observation 9a01d573-959e-40f3-91dd-22d70cd543f7 · outbound

This paper cites Searches for Mass-Asymmetric Compact Binary Coalescence Events using Neural Networks in the LIGO/Virgo Third Observation Period.

Applications of machine learning in gravitational wave research with current interferometric detectors Searches for Mass-Asymmetric Compact Binary Coalescence Events using Neural Networks in the LIGO/Virgo Third Observation Period

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.691055Z

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Observation bb90c6c2-c0a9-4f4a-b71f-3b2c8c350a13 · outbound

This paper cites Using supervised learning algorithms as a follow-up method in the search of gravitational waves from core-collapse supernovae.

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Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.695916Z

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Observation 6eef1b0f-8376-455d-9d0e-5b46cd1f10e7 · outbound

This paper cites IEEE Signal Processing Magazine 34(6):26--38.

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Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.700812Z

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Observation 8cf81771-1ad9-4536-8c2f-99a6d06d765d · outbound

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Applications of machine learning in gravitational wave research with current interferometric detectors Bayesian $\mathcal{F}$-statistic-based parameter estimation of continuous gravitational waves from known pulsars

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.705453Z

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Observation 414a999d-38c6-4d69-bae2-824a73ebb522 · outbound

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Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.710172Z

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Observation 0741e89c-ae3c-4ce4-bb55-18494719c214 · outbound

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Applications of machine learning in gravitational wave research with current interferometric detectors Bilby-MCMC: An MCMC sampler for gravitational-wave inference

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.715195Z

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Observation 707f0411-2565-4bcc-8b05-4f0308f9d03d · outbound

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Applications of machine learning in gravitational wave research with current interferometric detectors Bilby: A user-friendly Bayesian inference library for gravitational-wave astronomy

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.720049Z

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Unavailable: canonical work link unavailable.

Observation f4281f85-2995-4297-91ee-31a681f5cc16 · outbound

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Applications of machine learning in gravitational wave research with current interferometric detectors Nested sampling for physical scientists

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.724833Z

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Observation f95a22f1-9938-4614-8424-22dce83a6fa8 · outbound

This paper cites A New Method to Observe Gravitational Waves emitted by Core Collapse Supernovae.

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.729976Z

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Observation 5a82361b-41ff-41a2-b830-6d181d984e27 · outbound

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Applications of machine learning in gravitational wave research with current interferometric detectors Neural network method to search for long transient gravitational waves

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.734826Z

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Observation e510a14f-e547-4eb6-ac8e-f083c817fb63 · outbound

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Applications of machine learning in gravitational wave research with current interferometric detectors Class Quantum Grav 38(9):095004

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.740616Z

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Observation be2f4ff6-60c6-439b-a60c-9cf02cc313c9 · outbound

This paper cites The MBTA Pipeline for Detecting Compact Binary Coalescences in the Third LIGO-Virgo Observing Run.

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Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.745473Z

Source-reported events for the cited work

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Observation efd538d6-0a3b-47fb-8ef4-3fced9ea91ea · outbound

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Applications of machine learning in gravitational wave research with current interferometric detectors GRINN: A Physics-Informed Neural Network for solving hydrodynamic systems in the presence of self-gravity

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.750685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 850ce58c-3459-43a9-af6d-c13ff4d87f39 · outbound

This paper cites Machine Learning: Science and Technology 4(3):035024.

Applications of machine learning in gravitational wave research with current interferometric detectors Machine Learning: Science and Technology 4(3):035024

Reference 68

Resolution: verified exact; doi, observed 2026-08-11T11:42:51.938128Z

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 c675d591-00a1-4040-9c22-9acdd2f3c9ff · outbound

This paper cites Machine learning for gravitational-wave detection: surrogate Wiener filtering for the prediction and optimized cancellation of Newtonian noise at Virgo.

Applications of machine learning in gravitational wave research with current interferometric detectors Machine learning for gravitational-wave detection: surrogate Wiener filtering for the prediction and optimized cancellation of Newtonian noise at Virgo

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.761601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d522a81-aa28-47fd-b5bf-d88a9b7ec7bd · outbound

This paper cites Deep Multi-view Models for Glitch Classification.

Applications of machine learning in gravitational wave research with current interferometric detectors Deep Multi-view Models for Glitch Classification

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.766752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fc1c46a-6faa-4927-8e0d-ca0c0b5fe415 · outbound

This paper cites IEEE Trans Pattern Anal Mach Intell 41(2):423–443.

Applications of machine learning in gravitational wave research with current interferometric detectors IEEE Trans Pattern Anal Mach Intell 41(2):423–443

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.772869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53c82073-6684-49f4-b054-35425df6423b · outbound

This paper cites Convolutional neural networks for the detection of the early inspiral of a gravitational-wave signal.

Applications of machine learning in gravitational wave research with current interferometric detectors Convolutional neural networks for the detection of the early inspiral of a gravitational-wave signal

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.777507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fe7a5f0-54e5-4968-a54f-5c07a6c6e076 · outbound

This paper cites Detecting the early inspiral of a gravitational-wave signal with convolutional neural networks.

Applications of machine learning in gravitational wave research with current interferometric detectors Detecting the early inspiral of a gravitational-wave signal with convolutional neural networks

Reference 73

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T11:42:51.922609Z

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 801e9813-2448-40fa-b0b5-0337421312e4 · outbound

This paper cites Search strategies for long gravitational-wave transients: hidden Markov model tracking and seedless clustering.

Applications of machine learning in gravitational wave research with current interferometric detectors Search strategies for long gravitational-wave transients: hidden Markov model tracking and seedless clustering

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.788039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87bc549a-27b5-4c0c-8d89-a28f086cbfb0 · outbound

This paper cites Self-force and radiation reaction in general relativity.

Applications of machine learning in gravitational wave research with current interferometric detectors Self-force and radiation reaction in general relativity

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.792954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e80cc37-0262-4afa-a799-6de39c176190 · outbound

This paper cites Black holes, gravitational waves and fundamental physics: a roadmap.

Applications of machine learning in gravitational wave research with current interferometric detectors Black holes, gravitational waves and fundamental physics: a roadmap

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.797816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7034d438-c1d0-4cbf-a759-9037e87e6ad2 · outbound

This paper cites Machine Learning in Astronomy: a practical overview.

Applications of machine learning in gravitational wave research with current interferometric detectors Machine Learning in Astronomy: a practical overview

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.803119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 696df95a-81ff-429c-9e98-fa4c465f4f78 · outbound

This paper cites SOAP: A generalised application of the Viterbi algorithm to searches for continuous gravitational-wave signals.

Applications of machine learning in gravitational wave research with current interferometric detectors SOAP: A generalised application of the Viterbi algorithm to searches for continuous gravitational-wave signals

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.807986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5307cb78-e3c6-4fb7-b4b0-8d1785af7b43 · outbound

This paper cites A robust machine learning algorithm to search for continuous gravitational waves.

Applications of machine learning in gravitational wave research with current interferometric detectors A robust machine learning algorithm to search for continuous gravitational waves

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.813134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b83f0c0-e918-45f0-aec9-b48d6f57099d · outbound

This paper cites Rapid parameter estimation for an all-sky continuous gravitational wave search using conditional varitational auto-encoders.

Applications of machine learning in gravitational wave research with current interferometric detectors Rapid parameter estimation for an all-sky continuous gravitational wave search using conditional varitational auto-encoders

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.818106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 081ece75-736f-412e-8eb7-9e131e1d17d9 · outbound

This paper cites Deep learning for clustering of continuous gravitational wave candidates.

Applications of machine learning in gravitational wave research with current interferometric detectors Deep learning for clustering of continuous gravitational wave candidates

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.822922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a75c10dd-f83c-41a9-96f4-b928ef60f57a · outbound

This paper cites Deep learning for clustering of continuous gravitational wave candidates II: identification of low-SNR candidates.

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Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.827758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4246294b-b9e2-4491-b43b-15822e160964 · outbound

This paper cites Appl Sciences 13(17):9886.

Applications of machine learning in gravitational wave research with current interferometric detectors Appl Sciences 13(17):9886

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.832678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57277e98-b359-4984-b6cb-f32635f934dd · outbound

This paper cites In: Proceedings of the 26th Annual International Conference on Machine Learning.

Applications of machine learning in gravitational wave research with current interferometric detectors In: Proceedings of the 26th Annual International Conference on Machine Learning

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.837395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8a2fa40-4eaf-4c73-98ab-3fa6dcdcf212 · outbound

This paper cites Bayesian real-time classification of multi-messenger electromagnetic and gravitational-wave observations.

Applications of machine learning in gravitational wave research with current interferometric detectors Bayesian real-time classification of multi-messenger electromagnetic and gravitational-wave observations

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.842032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Applications of machine learning in gravitational wave research with current interferometric detectors Class Quantum Grav 40(20):205008

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.846832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1757531-792c-4fda-b110-1f6f485b2fe1 · outbound

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Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.852082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51060fd7-82ed-4f17-ac50-9ab3afb787e4 · outbound

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Applications of machine learning in gravitational wave research with current interferometric detectors Phys Rev D 109:042009

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.856729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcfa5fe6-8419-4032-91c4-324c5fc78474 · outbound

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Applications of machine learning in gravitational wave research with current interferometric detectors Did LIGO detect dark matter?

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.861485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ce128f2-32dd-485d-8851-6c0a38d23c94 · outbound

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Applications of machine learning in gravitational wave research with current interferometric detectors Class Quantum Grav 37(17):175008

Reference 90

Resolution: verified exact; doi, observed 2026-08-11T11:42:51.856108Z

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.

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Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.870767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Applications of machine learning in gravitational wave research with current interferometric detectors Phys Rev D 88:062003

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.875401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.880016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ec9b2b5-8aaa-4ed3-b7a5-619ac740d63f · outbound

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Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.884947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.889829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.894886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.899953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b111334b-f9bd-48d8-a9cb-05cbaf324847 · outbound

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Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.904812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.910000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.915380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.920513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:49.925852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Resolution: unresolved; no resolver link, observed 2026-08-12T05:20:01.424446Z

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Unavailable: canonical work link unavailable.

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Unavailable: canonical work link unavailable.

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Unavailable: canonical work link unavailable.

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Unavailable: canonical work link unavailable.

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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.

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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.

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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.

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Resolution: verified exact; arxiv_id, observed 2026-05-21T03:33:56.412517Z

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.

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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.

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Unavailable: canonical work link unavailable.

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Addressing rotational motion on gravitational waves detectors Applications of machine learning in gravitational wave research with current interferometric detectors

Reference 124

Resolution: unresolved; no resolver link, observed 2026-08-01T16:09:46.340240Z

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Observation 41af9830-6139-426f-ba3c-3c7742d771d1 · inbound

Probability of gravitational-wave lensing by intermediate-mass black holes and globular clusters cites this paper.

Probability of gravitational-wave lensing by intermediate-mass black holes and globular clusters Applications of machine learning in gravitational wave research with current interferometric detectors

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-11T00:33:04.606113Z

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