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Paper Citation Record · LEDGER

Parameter inference of millilensed gravitational waves using neural spline flows

As of 4 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 4 inbound Pith citation observations for arXiv:2505.20996.

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

pith.paper-citation-record.v1
2505.20996 v3

Coverage vector

measured 100 of 105 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T13:21:37.451964Z

measured 104 of 104 standing notices

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measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:55:47.477305Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-21T03:33:56.455953Z

Reference resolution

100 of 105 outbound references displayed

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  • verified fuzzy3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 587b2046-3d0b-4dd4-9d9e-83bab0cc0a1a · outbound

This paper cites Tests of general relativity with GW150914.

Parameter inference of millilensed gravitational waves using neural spline flows Tests of general relativity with GW150914

Reference 1

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local_arxiv, observed 2026-05-19T13:22:18.419677Z

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Observation 903b514e-6cbe-4b10-a19f-c3cd70a8a407 · outbound

This paper cites an unresolved cited work.

Parameter inference of millilensed gravitational waves using neural spline flows Unresolved cited work

Reference 2

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Observation 0b3cd984-dd4f-47af-a5a7-1cf1a63f01c0 · outbound

This paper cites Tests of General Relativity with the Binary Black Hole Signals from the LIGO-Virgo Catalog GWTC-1.

Parameter inference of millilensed gravitational waves using neural spline flows Tests of General Relativity with the Binary Black Hole Signals from the LIGO-Virgo Catalog GWTC-1

Reference 3

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local_arxiv, observed 2026-05-19T13:22:18.457586Z

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Observation fb81c9ed-bdc5-47b0-89e6-b769a13d2d45 · outbound

This paper cites Tests of General Relativity with GW170817.

Parameter inference of millilensed gravitational waves using neural spline flows Tests of General Relativity with GW170817

Reference 4

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local_arxiv, observed 2026-05-19T13:22:18.462689Z

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Observation c2ffa43c-458b-42f3-b28c-627e59360fdd · outbound

This paper cites Tests of General Relativity with Binary Black Holes from the second LIGO-Virgo Gravitational-Wave Transient Catalog.

Parameter inference of millilensed gravitational waves using neural spline flows Tests of General Relativity with Binary Black Holes from the second LIGO-Virgo Gravitational-Wave Transient Catalog

Reference 5

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local_arxiv, observed 2026-05-19T13:22:18.861657Z

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Observation 1ddd7c77-6fc3-4b78-a2d6-024a564cb8bf · outbound

This paper cites Tests of General Relativity with GWTC-3.

Parameter inference of millilensed gravitational waves using neural spline flows Tests of General Relativity with GWTC-3

Reference 6

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local_arxiv, observed 2026-05-19T13:22:18.499769Z

Source-reported events for the cited work

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Observation bb8893a6-2ea9-4290-91ac-b1ad17ddcfce · outbound

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

Parameter inference of millilensed gravitational waves using neural spline flows Constraints on the cosmic expansion history from GWTC-3

Reference 7

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arxiv_id, observed 2026-05-19T13:22:18.536753Z

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Observation 12f31e32-ec2d-4122-a2d4-7e9058b92c1d · outbound

This paper cites Prospects for Fundamental Physics with LISA.

Parameter inference of millilensed gravitational waves using neural spline flows Prospects for Fundamental Physics with LISA

Reference 8

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arxiv_id, observed 2026-05-19T13:22:18.623283Z

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Observation b8262b43-a763-417b-831a-aa7b7b49ba26 · outbound

This paper cites Ruan, Z.-K.

Parameter inference of millilensed gravitational waves using neural spline flows Ruan, Z.-K

Reference 9

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Observation ef2a4894-590e-4726-84b8-00765f38553f · outbound

This paper cites Fundamental Physics and Cosmology with TianQin.

Parameter inference of millilensed gravitational waves using neural spline flows Fundamental Physics and Cosmology with TianQin

Reference 10

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arxiv_id, observed 2026-05-26T03:04:01.226438Z

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Observation 6b5e0c1f-9215-47d7-a0a6-9dae7997910a · outbound

This paper cites Science Case for the Einstein Telescope.

Parameter inference of millilensed gravitational waves using neural spline flows Science Case for the Einstein Telescope

Reference 11

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local_arxiv, observed 2026-05-19T13:22:18.646475Z

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Observation 26d52765-f8e3-405f-b06d-ca77d8711f91 · outbound

This paper cites A Horizon Study for Cosmic Explorer: Science, Observatories, and Community.

Parameter inference of millilensed gravitational waves using neural spline flows A Horizon Study for Cosmic Explorer: Science, Observatories, and Community

Reference 12

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local_arxiv, observed 2026-05-19T13:22:18.540593Z

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Observation e972cbe8-3bb3-4a46-a96b-f6efd2efa380 · outbound

This paper cites On the waveforms of gravitationally lensed gravitational waves.

Parameter inference of millilensed gravitational waves using neural spline flows On the waveforms of gravitationally lensed gravitational waves

Reference 13

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local_arxiv, observed 2026-05-19T13:22:18.691544Z

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Observation e5cd7d6f-c8df-4d97-a8b3-78019ca5ed6a · outbound

This paper cites Detecting Lensing-Induced Diffraction in Astrophysical Gravitational Waves.

Parameter inference of millilensed gravitational waves using neural spline flows Detecting Lensing-Induced Diffraction in Astrophysical Gravitational Waves

Reference 14

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local_arxiv, observed 2026-05-19T13:22:18.608011Z

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Observation 2f47a84f-3a19-4e95-947a-84254316c09b · outbound

This paper cites an unresolved cited work.

Parameter inference of millilensed gravitational waves using neural spline flows Unresolved cited work

Reference 15

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Observation 4f3b0dec-b6ce-42e7-83a7-b1f609f73935 · outbound

This paper cites Probing the nature of dark matter via gravitational waves lensed by small dark matter halos.

Parameter inference of millilensed gravitational waves using neural spline flows Probing the nature of dark matter via gravitational waves lensed by small dark matter halos

Reference 16

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arxiv_id, observed 2026-05-19T13:22:18.407927Z

Source-reported events for the cited work

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Observation a7d3d09e-fe67-46b7-9bbc-ab835ecc5a63 · outbound

This paper cites Discovering intermediate-mass black hole lenses through gravitational wave lensing.

Parameter inference of millilensed gravitational waves using neural spline flows Discovering intermediate-mass black hole lenses through gravitational wave lensing

Reference 17

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local_arxiv, observed 2026-05-19T13:22:18.473512Z

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Observation a1915011-c247-4884-8438-2437499629d7 · outbound

This paper cites Inferring the Intermediate Mass Black Hole Number Density from Gravitational Wave Lensing Statistics.

Parameter inference of millilensed gravitational waves using neural spline flows Inferring the Intermediate Mass Black Hole Number Density from Gravitational Wave Lensing Statistics

Reference 18

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arxiv_id, observed 2026-05-19T13:22:18.603855Z

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Observation b95b64bf-2efa-499e-a7a4-f9f4094d7cec · outbound

This paper cites Gravitational lensing of gravitational waves: prospects for probing intermediate-mass black holes in galaxy lenses with global minima image.

Parameter inference of millilensed gravitational waves using neural spline flows Gravitational lensing of gravitational waves: prospects for probing intermediate-mass black holes in galaxy lenses with global minima image

Reference 19

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arxiv_id, observed 2026-05-19T13:22:18.857324Z

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Observation 120b8d75-44bd-478b-bbe0-febd88e19445 · outbound

This paper cites Wave diffraction by a cosmic string.

Parameter inference of millilensed gravitational waves using neural spline flows Wave diffraction by a cosmic string

Reference 20

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local_arxiv, observed 2026-05-19T13:22:18.414036Z

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Observation 0c0d0f6c-2407-437e-bce2-1eaa049072c7 · outbound

This paper cites Emergence of Fresnel diffraction zones in gravitational lensing by a cosmic string.

Parameter inference of millilensed gravitational waves using neural spline flows Emergence of Fresnel diffraction zones in gravitational lensing by a cosmic string

Reference 21

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local_arxiv, observed 2026-05-19T13:22:18.618332Z

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Observation 22b3b1bd-f5c3-492d-bd71-8cefc2350c70 · outbound

This paper cites Complementary constraints on dark energy equation of state from strongly lensed gravitational wave.

Parameter inference of millilensed gravitational waves using neural spline flows Complementary constraints on dark energy equation of state from strongly lensed gravitational wave

Reference 22

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local_arxiv, observed 2026-05-19T13:22:18.853291Z

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Observation 74e82eb6-34c5-4fe4-9494-b9a9e6e7c417 · outbound

This paper cites Gravitational-Wave Fringes at LIGO: Detecting Compact Dark Matter by Gravitational Lensing.

Parameter inference of millilensed gravitational waves using neural spline flows Gravitational-Wave Fringes at LIGO: Detecting Compact Dark Matter by Gravitational Lensing

Reference 23

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local_arxiv, observed 2026-05-19T13:22:18.599744Z

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Observation 66e271a5-13a8-4df7-99fe-ab1ca5032c16 · outbound

This paper cites Lensing of gravitational waves as a probe of compact dark matter.

Parameter inference of millilensed gravitational waves using neural spline flows Lensing of gravitational waves as a probe of compact dark matter

Reference 24

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arxiv_id, observed 2026-05-19T13:22:18.793354Z

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Observation 2668ce64-852b-4fd7-b315-7ddbf675179c · outbound

This paper cites Lensing by primordial black holes: constraints from gravitational wave observations.

Parameter inference of millilensed gravitational waves using neural spline flows Lensing by primordial black holes: constraints from gravitational wave observations

Reference 25

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arxiv_id, observed 2026-05-19T13:22:18.808245Z

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Observation eeca0505-3670-4ae6-b8a3-1650b5a8c194 · outbound

This paper cites Direct measurement of the distribution of dark matter with strongly lensed gravitational waves.

Parameter inference of millilensed gravitational waves using neural spline flows Direct measurement of the distribution of dark matter with strongly lensed gravitational waves

Reference 26

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arxiv_id, observed 2026-05-19T13:22:18.437284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 78f2c96f-3d9b-43bd-bd8f-bce6cb3418ca · outbound

This paper cites Microlensing of gravitational waves by dark matter structures.

Parameter inference of millilensed gravitational waves using neural spline flows Microlensing of gravitational waves by dark matter structures

Reference 27

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arxiv_id, observed 2026-05-19T13:22:18.836326Z

Source-reported events for the cited work

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Observation 4101c1c9-e1ce-44fb-82a0-a503dff8cb1c · outbound

This paper cites Probing wave-optics effects and low-mass dark matter halos with lensing of gravitational waves from massive black holes.

Parameter inference of millilensed gravitational waves using neural spline flows Probing wave-optics effects and low-mass dark matter halos with lensing of gravitational waves from massive black holes

Reference 28

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arxiv_id, observed 2026-05-19T13:22:18.630716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation bc35d3b9-010b-45a1-bb39-2d4b818ddfb6 · outbound

This paper cites Gravitational wave lensing as a probe of halo properties and dark matter.

Parameter inference of millilensed gravitational waves using neural spline flows Gravitational wave lensing as a probe of halo properties and dark matter

Reference 29

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arxiv_id, observed 2026-05-19T13:22:18.627243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 124f5593-2c90-40b2-8f4e-1910f66e6a8c · outbound

This paper cites Probing minihalo lenses with diffracted gravitational waves.

Parameter inference of millilensed gravitational waves using neural spline flows Probing minihalo lenses with diffracted gravitational waves

Reference 30

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arxiv_id, observed 2026-05-19T13:22:18.557325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 3457e545-2785-4b61-89b4-4336efc92c57 · outbound

This paper cites Probing the nature of dark matter using strongly lensed gravitational waves from binary black holes.

Parameter inference of millilensed gravitational waves using neural spline flows Probing the nature of dark matter using strongly lensed gravitational waves from binary black holes

Reference 31

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arxiv_id, observed 2026-05-19T13:22:18.595430Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation dc66de33-e7bf-4923-9383-ed5da7e29539 · outbound

This paper cites Direct test of the FLRW metric from strongly lensed gravitational wave observations.

Parameter inference of millilensed gravitational waves using neural spline flows Direct test of the FLRW metric from strongly lensed gravitational wave observations

Reference 32

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arxiv_id, observed 2026-05-19T13:22:18.788981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d7f1a7d4-5605-4428-9970-e8c316ba7545 · outbound

This paper cites Galaxy-Scale Test of General Relativity with Strong Gravitational Lensing.

Parameter inference of millilensed gravitational waves using neural spline flows Galaxy-Scale Test of General Relativity with Strong Gravitational Lensing

Reference 33

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arxiv_id, observed 2026-05-19T13:22:18.735455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 23704d98-55fd-4ca7-8334-b27dcd3d8775 · outbound

This paper cites Probing lens-induced gravitational-wave birefringence as a test of general relativity.

Parameter inference of millilensed gravitational waves using neural spline flows Probing lens-induced gravitational-wave birefringence as a test of general relativity

Reference 34

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arxiv_id, observed 2026-05-19T13:22:18.432038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation fd2cd27e-08ef-49e4-8a18-37d3fad033fb · outbound

This paper cites Measuring the Hubble Constant Using Strongly Lensed Gravitational Wave Signals.

Parameter inference of millilensed gravitational waves using neural spline flows Measuring the Hubble Constant Using Strongly Lensed Gravitational Wave Signals

Reference 35

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arxiv_id, observed 2026-05-19T13:22:18.775591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation e4542659-396a-49db-a621-b630a94a82f0 · outbound

This paper cites Multi-messenger Gravitational Lensing.

Parameter inference of millilensed gravitational waves using neural spline flows Multi-messenger Gravitational Lensing

Reference 36

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arxiv_id, observed 2026-05-19T13:22:18.447447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ac7e636f-68de-4d8f-8442-8028430630b1 · outbound

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

Parameter inference of millilensed gravitational waves using neural spline flows Search for lensing signatures in the gravitational-wave observations from the first half of LIGO-Virgo's third observing run

Reference 37

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arxiv_id, observed 2026-05-19T13:22:18.425589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 90c0eb48-b3d6-4dc3-9dfc-8045b2f27604 · outbound

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

Parameter inference of millilensed gravitational waves using neural spline flows Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network

Reference 38

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arxiv_id, observed 2026-05-19T13:22:18.700731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation a47e16c9-7d09-41c1-8d2d-d2568d2e017a · outbound

This paper cites Follow-up Analyses to the O3 LIGO-Virgo-KAGRA Lensing Searches.

Parameter inference of millilensed gravitational waves using neural spline flows Follow-up Analyses to the O3 LIGO-Virgo-KAGRA Lensing Searches

Reference 39

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arxiv_id, observed 2026-05-19T13:22:18.687677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 78a8a124-f30b-40d4-9110-1dbd29178826 · outbound

This paper cites Fast and efficient Bayesian method to search for strongly lensed gravitational waves.

Parameter inference of millilensed gravitational waves using neural spline flows Fast and efficient Bayesian method to search for strongly lensed gravitational waves

Reference 40

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arxiv_id, observed 2026-05-19T13:22:18.580712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 193c929a-80d9-4907-8890-54855998f250 · outbound

This paper cites A rapid method for preliminary identification of subthreshold strongly lensed counterparts to superthreshold gravitational-wave events.

Parameter inference of millilensed gravitational waves using neural spline flows A rapid method for preliminary identification of subthreshold strongly lensed counterparts to superthreshold gravitational-wave events

Reference 41

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arxiv_id, observed 2026-05-19T13:22:18.663025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 276ecf03-cd40-40f5-bfe6-74f1cc74821a · outbound

This paper cites Rapid Identification of Strongly Lensed Gravitational-Wave Events with Machine Learning.

Parameter inference of millilensed gravitational waves using neural spline flows Rapid Identification of Strongly Lensed Gravitational-Wave Events with Machine Learning

Reference 42

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arxiv_id, observed 2026-05-19T13:22:18.730867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation bbcc0695-a35e-4373-8b7e-76173ba0e52a · outbound

This paper cites Deep Learning-based Search for Microlensing Signature from Binary Black Hole Events in GWTC-1 and -2.

Parameter inference of millilensed gravitational waves using neural spline flows Deep Learning-based Search for Microlensing Signature from Binary Black Hole Events in GWTC-1 and -2

Reference 43

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arxiv_id, observed 2026-05-19T13:22:18.570004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d8998db6-7f0e-4c7e-a0f1-eb3ad25ec185 · outbound

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

Parameter inference of millilensed gravitational waves using neural spline flows MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge

Reference 44

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arxiv_id, observed 2026-05-19T13:22:18.752055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 896d9b24-5c11-4b7f-87fc-5bcf02192d37 · outbound

This paper cites Gravitational lensing of gravitational waves: A statistical perspective.

Parameter inference of millilensed gravitational waves using neural spline flows Gravitational lensing of gravitational waves: A statistical perspective

Reference 45

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local_arxiv, observed 2026-05-19T13:22:18.817000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 27517dad-8dba-426a-89cc-e5ff569f584a · outbound

This paper cites Precise LIGO Lensing Rate Predictions for Binary Black Holes.

Parameter inference of millilensed gravitational waves using neural spline flows Precise LIGO Lensing Rate Predictions for Binary Black Holes

Reference 46

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local_arxiv, observed 2026-05-19T13:22:18.519839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 636488c7-bb2c-4f0f-a5a5-2e6250caea58 · outbound

This paper cites Identifying Type II Strongly Lensed Gravitational-Wave Images in Third-Generation Gravitational-Wave Detectors.

Parameter inference of millilensed gravitational waves using neural spline flows Identifying Type II Strongly Lensed Gravitational-Wave Images in Third-Generation Gravitational-Wave Detectors

Reference 47

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arxiv_id, observed 2026-05-19T13:22:18.780023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 3b0c03b6-9c1d-416f-a312-84b09b1e84ee · outbound

This paper cites Please repeat: Strong lensing of gravitational waves as a probe of compact binary and galaxy populations.

Parameter inference of millilensed gravitational waves using neural spline flows Please repeat: Strong lensing of gravitational waves as a probe of compact binary and galaxy populations

Reference 48

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arxiv_id, observed 2026-05-19T13:22:18.675536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d79c3583-0b56-42f1-b5d6-e4cd93785897 · outbound

This paper cites Signatures of dark and baryonic structures on weakly lensed gravitational waves.

Parameter inference of millilensed gravitational waves using neural spline flows Signatures of dark and baryonic structures on weakly lensed gravitational waves

Reference 49

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arxiv_id, observed 2026-05-19T13:22:18.756958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9c7f1764-930e-4d59-a5b6-52700bbbd4e2 · outbound

This paper cites Gravitational lensing of gravitational waves: wave nature and prospects for detection.

Parameter inference of millilensed gravitational waves using neural spline flows Gravitational lensing of gravitational waves: wave nature and prospects for detection

Reference 50

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arxiv_id, observed 2026-05-19T13:22:18.642449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 8b504fb0-17f7-43a9-9021-cf3911fa24c6 · outbound

This paper cites Detectability of strongly lensed gravitational waves using model-independent image parameters.

Parameter inference of millilensed gravitational waves using neural spline flows Detectability of strongly lensed gravitational waves using model-independent image parameters

Reference 51

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arxiv_id, observed 2026-05-19T13:22:18.553588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 0c8f2aee-c0bc-4d28-b22f-70a5c452fcf6 · outbound

This paper cites Wave Effects in Gravitational Lensing of Gravitational Waves from Chirping Binaries.

Parameter inference of millilensed gravitational waves using neural spline flows Wave Effects in Gravitational Lensing of Gravitational Waves from Chirping Binaries

Reference 52

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local_arxiv, observed 2026-05-19T13:22:18.545048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d115664c-da3a-4bfb-b11d-ba9ad6ef659c · outbound

This paper cites Strong lensing of gravitational waves as seen by LISA.

Parameter inference of millilensed gravitational waves using neural spline flows Strong lensing of gravitational waves as seen by LISA

Reference 53

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local_arxiv, observed 2026-05-19T13:22:18.798225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation a39262fe-ef1a-4a6c-98fa-46ef05941bbf · outbound

This paper cites Lensing of gravitational waves: universal signatures in the beating pattern.

Parameter inference of millilensed gravitational waves using neural spline flows Lensing of gravitational waves: universal signatures in the beating pattern

Reference 54

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arxiv_id, observed 2026-05-19T13:22:18.577039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 318f8830-8337-47a4-a824-a9cf8c7c748c · outbound

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

Parameter inference of millilensed gravitational waves using neural spline flows Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Reference 55

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arxiv_id, observed 2026-05-19T13:22:18.565923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 3a8522d3-3f04-43c1-bd3b-9dba9f460d6f · outbound

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

Parameter inference of millilensed gravitational waves using neural spline flows Complete parameter inference for GW150914 using deep learning

Reference 56

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arxiv_id, observed 2026-05-19T13:22:18.590240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 20297cf8-82ff-40fa-8bb7-e6dbab5d15ec · outbound

This paper cites Gravitational-wave parameter estimation with autoregressive neural network flows.

Parameter inference of millilensed gravitational waves using neural spline flows Gravitational-wave parameter estimation with autoregressive neural network flows

Reference 57

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arxiv_id, observed 2026-05-19T13:22:18.451722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation e9b056bf-126b-4753-9c66-ea9f99b49ec6 · outbound

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

Parameter inference of millilensed gravitational waves using neural spline flows Real-time gravitational-wave science with neural posterior estimation

Reference 58

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arxiv_id, observed 2026-05-19T13:22:18.468181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 11b59a5c-8761-4063-94b4-4880bb33ce0a · outbound

This paper cites Statistically-informed deep learning for gravitational wave parameter estimation.

Parameter inference of millilensed gravitational waves using neural spline flows Statistically-informed deep learning for gravitational wave parameter estimation

Reference 59

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arxiv_id, observed 2026-05-19T13:22:18.683795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9ab00688-ebe7-4f0f-a487-e427169c353c · outbound

This paper cites Using machine learning to parametrize postmerger signals from binary neutron stars.

Parameter inference of millilensed gravitational waves using neural spline flows Using machine learning to parametrize postmerger signals from binary neutron stars

Reference 60

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arxiv_id, observed 2026-05-19T13:22:18.770790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7f833ea7-94f4-4a26-89f4-f92fd626386f · outbound

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

Parameter inference of millilensed gravitational waves using neural spline flows Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Reference 61

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arxiv_id, observed 2026-05-19T13:22:18.722047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 20133a99-5b4b-4670-8cf0-d24bb521b80c · outbound

This paper cites Space-based gravitational wave signal detection and extraction with deep neural network.

Parameter inference of millilensed gravitational waves using neural spline flows Space-based gravitational wave signal detection and extraction with deep neural network

Reference 62

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arxiv_id, observed 2026-05-19T13:22:18.812148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation bb7b9dd7-f68d-4d46-ab83-1ab55d7c8aad · outbound

This paper cites Deep learning-driven likelihood-free parameter inference for 21-cm forest observations.

Parameter inference of millilensed gravitational waves using neural spline flows Deep learning-driven likelihood-free parameter inference for 21-cm forest observations

Reference 63

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arxiv_id, observed 2026-05-19T13:22:18.832637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T13:21:37.451964Z digest=sha256:7e177d21694ac7720b94cf23680ea701e6eddaeebbb2aed008ec6f840da17af6

Observation 7c233bd0-8d19-4986-8af0-2c3eb1e03635 · outbound

This paper cites Advancing Space-Based Gravitational Wave Astronomy: Rapid Parameter Estimation via Normalizing Flows.

Parameter inference of millilensed gravitational waves using neural spline flows Advancing Space-Based Gravitational Wave Astronomy: Rapid Parameter Estimation via Normalizing Flows

Reference 64

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arxiv_id, observed 2026-05-19T13:22:18.514599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 37121ca0-07ca-42d6-b055-13d89c6ac5f1 · outbound

This paper cites Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow.

Parameter inference of millilensed gravitational waves using neural spline flows Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow

Reference 65

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arxiv_id, observed 2026-05-19T13:22:18.666997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 4ce1411e-bd11-4348-a732-375ca12d9d3c · outbound

This paper cites Gravitational wave populations and cosmology with neural posterior estimation.

Parameter inference of millilensed gravitational waves using neural spline flows Gravitational wave populations and cosmology with neural posterior estimation

Reference 66

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arxiv_id, observed 2026-05-19T13:22:18.493518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d8428933-9ea9-4be5-93d3-6b4d11758139 · outbound

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

Parameter inference of millilensed gravitational waves using neural spline flows Real-time gravitational-wave inference for binary neutron stars using machine learning

Reference 67

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arxiv_id, observed 2026-05-19T13:22:18.845170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T13:21:37.451964Z digest=sha256:0a500fefb578650ba6c80172e107b3009713d5d5905eab820af84a257d5facf6

Observation c30e2a76-4b28-4bf9-8309-a1469465d46d · outbound

This paper cites Robust inference of gravitational wave source parameters in the presence of noise transients using normalizing flows.

Parameter inference of millilensed gravitational waves using neural spline flows Robust inference of gravitational wave source parameters in the presence of noise transients using normalizing flows

Reference 68

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arxiv_id, observed 2026-05-19T13:22:18.634711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T13:21:37.451964Z digest=sha256:b9bd8a26dd9eccaaed296ba973b6b8d7cde61307af92406d2113e27af6262d35

Observation 592c6e59-0abc-4521-94af-a2b8c0a51050 · outbound

This paper cites Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders.

Parameter inference of millilensed gravitational waves using neural spline flows Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders

Reference 69

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arxiv_id, observed 2026-05-19T13:22:18.740144Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation abaae128-33bc-41c8-826f-384e6d357ef1 · outbound

This paper cites Inspiral-merger-ringdown waveforms for black-hole binaries with non-precessing spins.

Parameter inference of millilensed gravitational waves using neural spline flows Inspiral-merger-ringdown waveforms for black-hole binaries with non-precessing spins

Reference 70

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local_arxiv, observed 2026-05-19T13:22:18.659242Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 916257fd-4483-4e0f-8e16-bb48968b9a31 · outbound

This paper cites No evidence that the majority of black holes in binaries have zero spin.

Parameter inference of millilensed gravitational waves using neural spline flows No evidence that the majority of black holes in binaries have zero spin

Reference 71

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arxiv_id, observed 2026-05-19T13:22:18.717847Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c68e8c3b-f25f-4721-88e6-9d302bb72652 · outbound

This paper cites The binary black hole spin distribution likely broadens with redshift.

Parameter inference of millilensed gravitational waves using neural spline flows The binary black hole spin distribution likely broadens with redshift

Reference 72

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arxiv_id, observed 2026-05-19T13:22:18.766223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 82f9ea7c-3663-494e-83a6-0070f822e1c0 · outbound

This paper cites Limits on hierarchical black hole mergers from the most negative $\chi_\mathrm{eff}$ systems.

Parameter inference of millilensed gravitational waves using neural spline flows Limits on hierarchical black hole mergers from the most negative $\chi_\mathrm{eff}$ systems

Reference 73

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arxiv_id, observed 2026-05-19T13:22:18.524323Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 01a959d6-4904-41da-afcd-463e912f1de8 · outbound

This paper cites Distribution of Effective Spins and Masses of Binary Black Holes from the LIGO and Virgo O1-O3a Observing Runs.

Parameter inference of millilensed gravitational waves using neural spline flows Distribution of Effective Spins and Masses of Binary Black Holes from the LIGO and Virgo O1-O3a Observing Runs

Reference 74

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verified exact
arxiv_id, observed 2026-05-19T13:22:18.650504Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation fc433ddb-869d-47df-873a-e07252f45ab7 · outbound

This paper cites A new spin on LIGO-Virgo binary black holes.

Parameter inference of millilensed gravitational waves using neural spline flows A new spin on LIGO-Virgo binary black holes

Reference 75

Resolution
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arxiv_id, observed 2026-05-19T13:22:18.708956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c6b053dd-9f1c-4ba9-a735-7f11e8a07ea1 · outbound

This paper cites The population properties of spinning black holes using Gravitational-wave Transient Catalog 3.

Parameter inference of millilensed gravitational waves using neural spline flows The population properties of spinning black holes using Gravitational-wave Transient Catalog 3

Reference 76

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arxiv_id, observed 2026-05-19T13:22:18.509849Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T13:21:37.451964Z digest=sha256:d6bb50e4cac7211a7ebdbe9e16de8e16f0683b5e4676733e36b9bfb3dd3e8985

Observation 151cd9e1-6852-4417-9e3b-92d7bbeb2b14 · outbound

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

Parameter inference of millilensed gravitational waves using neural spline flows Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library

Reference 77

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verified exact
local_arxiv, observed 2026-05-19T13:22:18.746576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 0bcaaae6-1892-451b-a955-ac6a89f2fcc3 · outbound

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

Parameter inference of millilensed gravitational waves using neural spline flows Searching for Gravitational Waves from Compact Binaries with Precessing Spins

Reference 78

Resolution
verified exact
local_arxiv, observed 2026-05-19T13:22:18.726640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ffce1aa9-32e2-4efd-b649-0a3fae592d64 · outbound

This paper cites Rapid eccentric spin-aligned binary black hole waveform generation based on deep learning.

Parameter inference of millilensed gravitational waves using neural spline flows Rapid eccentric spin-aligned binary black hole waveform generation based on deep learning

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:22:18.654897Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 5e7dc6e5-2aa4-4686-818e-d03e80bb01e7 · outbound

This paper cites Rapid identification of time-frequency domain gravitational wave signals from binary black holes using deep learning.

Parameter inference of millilensed gravitational waves using neural spline flows Rapid identification of time-frequency domain gravitational wave signals from binary black holes using deep learning

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:22:18.532394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 87c17416-c27e-47a6-8bdf-8ac7a0fffaf8 · outbound

This paper cites Extraction of Binary Black Hole Gravitational Wave Signals from Detector Data Using Deep Learning.

Parameter inference of millilensed gravitational waves using neural spline flows Extraction of Binary Black Hole Gravitational Wave Signals from Detector Data Using Deep Learning

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:22:18.840646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9873c47c-77c6-455c-82be-3b9d5a48f769 · outbound

This paper cites Improved deep learning techniques in gravitational-wave data analysis.

Parameter inference of millilensed gravitational waves using neural spline flows Improved deep learning techniques in gravitational-wave data analysis

Reference 82

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arxiv_id, observed 2026-05-19T13:22:18.695834Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation edcc5264-1424-4b42-b304-0d641cfc77b5 · outbound

This paper cites WaveFormer: transformer-based denoising method for gravitational-wave data.

Parameter inference of millilensed gravitational waves using neural spline flows WaveFormer: transformer-based denoising method for gravitational-wave data

Reference 83

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verified exact
arxiv_id, observed 2026-05-19T13:22:18.713532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 685f9ff8-0290-46f6-bd64-893f179231e3 · outbound

This paper cites Gravitational Wave Signal Extraction Against Non-Stationary Instrumental Noises with Deep Neural Network.

Parameter inference of millilensed gravitational waves using neural spline flows Gravitational Wave Signal Extraction Against Non-Stationary Instrumental Noises with Deep Neural Network

Reference 84

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arxiv_id, observed 2026-05-19T13:22:18.828803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 0b8170ba-3c2a-4557-a187-cddb57b3774f · outbound

This paper cites Search for exotic gravitational wave signals beyond general relativity using deep learning.

Parameter inference of millilensed gravitational waves using neural spline flows Search for exotic gravitational wave signals beyond general relativity using deep learning

Reference 85

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arxiv_id, observed 2026-05-19T13:22:18.679767Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 90380347-f3d9-4539-96fb-dc1b07e1f161 · outbound

This paper cites Schneider, J.

Parameter inference of millilensed gravitational waves using neural spline flows Schneider, J

Reference 86

Resolution
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raw_fallback, observed 2026-05-19T13:22:19.579170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 43497321-37bd-4bd6-861c-62cd78e017a1 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Parameter inference of millilensed gravitational waves using neural spline flows Deep Residual Learning for Image Recognition

Reference 87

Resolution
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local_arxiv, observed 2026-05-19T13:22:18.704767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation db618969-3a02-44a6-8ec1-ee5650a90a06 · outbound

This paper cites Neural Spline Flows.

Parameter inference of millilensed gravitational waves using neural spline flows Neural Spline Flows

Reference 88

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verified exact
arxiv_id, observed 2026-05-19T13:22:18.549659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T13:21:37.451964Z digest=sha256:2e4f05533a19b9e4580fcdb9d58f5444646d78d6a8ebe6edd212f7087aa9ca11

Observation b4dc8e98-2e44-4e10-be2c-1c6251c04798 · outbound

This paper cites Rezende and S.

Parameter inference of millilensed gravitational waves using neural spline flows Rezende and S

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T13:22:19.581535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 70e4230c-9702-47f2-8965-967ffb67f8ad · outbound

This paper cites Masked Autoregressive Flow for Density Estimation.

Parameter inference of millilensed gravitational waves using neural spline flows Masked Autoregressive Flow for Density Estimation

Reference 90

Resolution
verified exact
local_arxiv, observed 2026-05-19T13:22:18.638253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 5a4a7e46-54f5-4e76-82a8-9622c1a1a115 · outbound

This paper cites Feng, F.F.

Parameter inference of millilensed gravitational waves using neural spline flows Feng, F.F

Reference 91

Resolution
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doi_truncated, observed 2026-05-19T13:22:18.325120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation e75ee4ef-a761-459c-bcf8-0d14b8ae8f67 · outbound

This paper cites Quasi-geometrical Optics Approximation in Gravitational Lensing.

Parameter inference of millilensed gravitational waves using neural spline flows Quasi-geometrical Optics Approximation in Gravitational Lensing

Reference 92

Resolution
verified exact
local_arxiv, observed 2026-05-19T13:22:18.528522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 910bab0f-f328-42e5-bb76-c3cb4d3c094f · outbound

This paper cites New twists in compact binary waveform modelling: a fast time domain model for precession.

Parameter inference of millilensed gravitational waves using neural spline flows New twists in compact binary waveform modelling: a fast time domain model for precession

Reference 93

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verified exact
arxiv_id, observed 2026-05-19T13:22:18.504550Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 0a0c19d8-5ebf-4a89-bef8-83853a100665 · outbound

This paper cites an unresolved cited work.

Parameter inference of millilensed gravitational waves using neural spline flows Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-05-19T13:22:19.576656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7a7d958e-f7f8-4d59-897a-a361f6d1748e · outbound

This paper cites PyCBC Inference: A Python-based parameter estimation toolkit for compact binary coalescence signals.

Parameter inference of millilensed gravitational waves using neural spline flows PyCBC Inference: A Python-based parameter estimation toolkit for compact binary coalescence signals

Reference 95

Resolution
verified exact
local_arxiv, observed 2026-05-19T13:22:18.442593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 303c71ef-cce9-48f7-9c0d-ea28a35444a5 · outbound

This paper cites A detailed analysis of GW190521 with phenomenological waveform models.

Parameter inference of millilensed gravitational waves using neural spline flows A detailed analysis of GW190521 with phenomenological waveform models

Reference 96

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arxiv_id, observed 2026-05-19T13:22:18.613482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 5761fab4-6065-4a80-bc5e-0ea7c73fa5cb · outbound

This paper cites Parameter estimation with the current generation of phenomenological waveform models applied to the black hole mergers of GWTC-1.

Parameter inference of millilensed gravitational waves using neural spline flows Parameter estimation with the current generation of phenomenological waveform models applied to the black hole mergers of GWTC-1

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:22:18.562008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 96775c83-97ca-40ce-a697-cdc1c85c73f2 · outbound

This paper cites Source Confusion of Massive Black Hole Binaries for the Taiji Mission.

Parameter inference of millilensed gravitational waves using neural spline flows Source Confusion of Massive Black Hole Binaries for the Taiji Mission

Reference 98

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arxiv_id, observed 2026-06-25T02:17:29.723109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7c3eb1b3-e437-4414-b4c8-31541f4ba98a · outbound

This paper cites Convergence and Efficiency of Different Methods to Compute the Diffraction Integral for Gravitational Lensing of Gravitational Waves.

Parameter inference of millilensed gravitational waves using neural spline flows Convergence and Efficiency of Different Methods to Compute the Diffraction Integral for Gravitational Lensing of Gravitational Waves

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:22:18.824839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 1eff12cd-9273-4ff9-a920-bad9c3740706 · outbound

This paper cites Lensing of gravitational waves: efficient wave-optics methods and validation with symmetric lenses.

Parameter inference of millilensed gravitational waves using neural spline flows Lensing of gravitational waves: efficient wave-optics methods and validation with symmetric lenses

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:22:18.573529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T13:21:37.451964Z digest=sha256:1e02a897b19928ae60eae387f22644aa3d84a4e17e43270ed70ca79b5f6f78d5

Pith citing papers

Observation 6c940af7-3ebc-4c60-aaf7-d428b9c26fa3 · inbound

Accelerated inference of microlensed gravitational waves with machine learning cites this paper.

Accelerated inference of microlensed gravitational waves with machine learning Parameter inference of millilensed gravitational waves using neural spline flows

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-03T22:55:47.477305Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:55:47.477305Z digest=sha256:702b309c08539144f3327c938c8635d652de7b0c32c72dab08d40266379cd065

Observation ea637f51-ba4e-4e88-a96c-4c15fec1a314 · inbound

Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows cites this paper.

Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows Parameter inference of millilensed gravitational waves using neural spline flows

Reference 105

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:42:01.446200Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 8ee74fc0-c076-4c54-82e0-453280ae96a3 · inbound

Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection cites this paper.

Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection Parameter inference of millilensed gravitational waves using neural spline flows

Reference 138

Resolution
verified exact
local_arxiv, observed 2026-05-21T03:33:56.457616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation b7d91a24-6f67-416d-a90b-b25fb9b012ca · inbound

Identifying lensed gravitational waves with physics-informed posterior learning cites this paper.

Identifying lensed gravitational waves with physics-informed posterior learning Parameter inference of millilensed gravitational waves using neural spline flows

Reference 165

Resolution
unresolved
no resolver link, observed 2026-07-11T23:16:00.672720Z

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