Paper Citation Record · LEDGER

Deep Neural Emulation of the Supermassive Black-hole Binary Population

As of 20 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 4 inbound Pith citation observations for arXiv:2411.10519.

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

pith.paper-citation-record.v1
2411.10519 v1

Coverage vector

measured 55 of 55 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-12T19:41:51.575699Z

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:56:34.594370Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:44:45.528130Z

Reference resolution

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Outbound references

Observation 97481166-4cd3-4ad9-9a8f-a72aa1c3ff0f · outbound

This paper cites Ultra-Low Frequency Gravitational Radiation from Massive Black Hole Binaries.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Ultra-Low Frequency Gravitational Radiation from Massive Black Hole Binaries

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.324881Z

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Observation dfadc4d5-2b6c-4610-850e-5e14d6f993d6 · outbound

This paper cites Gravitational Waves Probe the Coalescence Rate of Massive Black Hole Binaries.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Gravitational Waves Probe the Coalescence Rate of Massive Black Hole Binaries

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.330085Z

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Observation ad150550-69b4-4e51-acf1-8eb677972660 · outbound

This paper cites Low-Frequency Gravitational Waves from Massive Black Hole Binaries: Predictions for LISA and Pulsar Timing Arrays.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Low-Frequency Gravitational Waves from Massive Black Hole Binaries: Predictions for LISA and Pulsar Timing Arrays

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.335444Z

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Observation 0ea10927-fa22-4fdd-930f-8529ee8e14a6 · outbound

This paper cites Low-frequency gravitational radiation from coalescing massive black hole binaries in hierarchical cosmologies.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Low-frequency gravitational radiation from coalescing massive black hole binaries in hierarchical cosmologies

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.340904Z

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Observation 0712a48c-a315-4d27-9020-5fe1fe9ad394 · outbound

This paper cites The Astrophysics of Nanohertz Gravitational Waves.

Deep Neural Emulation of the Supermassive Black-hole Binary Population The Astrophysics of Nanohertz Gravitational Waves

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.346716Z

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Observation aa182381-06c9-4787-b04e-4a54df16994d · outbound

This paper cites an unresolved cited work.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:41:52.540074Z

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Observation 5d474a93-d4d8-4ae4-baa4-57729e31971c · outbound

This paper cites Detweiler, Pulsar timing measurements and the search for gravitational waves, ApJ 234, 1100 (1979).

Deep Neural Emulation of the Supermassive Black-hole Binary Population Detweiler, Pulsar timing measurements and the search for gravitational waves, ApJ 234, 1100 (1979)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.356359Z

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Observation 1db5adfc-4dbe-4cbe-bcc7-5af8a172aaf6 · outbound

This paper cites an unresolved cited work.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Unresolved cited work

Reference 8

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Observation 2815e073-23ad-4db1-b820-d479ad20c438 · outbound

This paper cites an unresolved cited work.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:41:52.505193Z

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Observation dacd752b-03de-498f-a461-b64bee422a97 · outbound

This paper cites The training procedure for our NF-based astro- emulator goes as follows.

Deep Neural Emulation of the Supermassive Black-hole Binary Population The training procedure for our NF-based astro- emulator goes as follows

Reference 10

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T19:41:52.573367Z

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Observation 44c0ae29-bcb0-4ab6-a2c1-fa8227b41bb1 · outbound

This paper cites The second data release from the European Pulsar Timing Array III. Search for gravitational wave signals.

Deep Neural Emulation of the Supermassive Black-hole Binary Population The second data release from the European Pulsar Timing Array III. Search for gravitational wave signals

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.375915Z

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Observation d80d7008-a023-4605-a9a1-73ac0f359005 · outbound

This paper cites Search for an isotropic gravitational-wave background with the Parkes Pulsar Timing Array.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Search for an isotropic gravitational-wave background with the Parkes Pulsar Timing Array

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.380910Z

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Observation 8496bbe7-cb76-4c48-8708-e0c242e99345 · outbound

This paper cites The NANOGrav 15-year Data Set: Evidence for a Gravitational-Wave Background.

Deep Neural Emulation of the Supermassive Black-hole Binary Population The NANOGrav 15-year Data Set: Evidence for a Gravitational-Wave Background

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.370719Z

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Observation 871f3413-bc59-4394-8d84-d833f8c979c6 · outbound

This paper cites Implications for the Supermassive Black Hole Binaries from the NANOGrav 15-year Data Set.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Implications for the Supermassive Black Hole Binaries from the NANOGrav 15-year Data Set

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.390629Z

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Observation 840c80e4-6967-418b-957a-04f09d3cb2f5 · outbound

This paper cites Gravitational Waves from SMBH Binaries in Light of the NANOGrav 15-Year Data.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Gravitational Waves from SMBH Binaries in Light of the NANOGrav 15-Year Data

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.395459Z

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Observation cf520ddc-aa98-4589-94b1-eac8da73cfb7 · outbound

This paper cites an unresolved cited work.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:41:52.489861Z

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Observation 1fa2f197-9759-4857-a60e-af510fb70fd8 · outbound

This paper cites Sato-Polito, M.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Sato-Polito, M

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:41:52.472167Z

Source-reported events for the cited work

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Observation f24ca8c7-6326-463b-a733-a6ccb8131f21 · outbound

This paper cites Goncharov, S.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Goncharov, S

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.410189Z

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Observation 2b2e958e-ba01-41d2-9af9-4476fb50bd03 · outbound

This paper cites [20] analyze NANOGrav’s latest data set in search of astrophysical or cosmological models that can explain the origin of the GWB signal measured by NANOGrav.

Deep Neural Emulation of the Supermassive Black-hole Binary Population [20] analyze NANOGrav’s latest data set in search of astrophysical or cosmological models that can explain the origin of the GWB signal measured by NANOGrav

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:41:52.589432Z

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Observation a105058f-9fcb-4ee2-af64-08c03511b9b7 · outbound

This paper cites Big Galaxies and Big Black Holes: The Massive Ends of the Local Stellar and Black Hole Mass Functions and the Implications for Nanohertz Gravitational Waves.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Big Galaxies and Big Black Holes: The Massive Ends of the Local Stellar and Black Hole Mass Functions and the Implications for Nanohertz Gravitational Waves

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.400581Z

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Observation 4182360c-b20b-4340-bd24-9c07b9b5bb1d · outbound

This paper cites Constraints On The Dynamical Environments Of Supermassive Black-hole Binaries Using Pulsar-timing Arrays.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Constraints On The Dynamical Environments Of Supermassive Black-hole Binaries Using Pulsar-timing Arrays

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.424610Z

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Observation b1f49c5a-2b4d-4829-a22d-386cb7ec136e · outbound

This paper cites The NANOGrav 15-year Data Set: Constraints on Supermassive Black Hole Binaries from the Gravitational Wave Background.

Deep Neural Emulation of the Supermassive Black-hole Binary Population The NANOGrav 15-year Data Set: Constraints on Supermassive Black Hole Binaries from the Gravitational Wave Background

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.414764Z

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Observation f6b75df9-ba3c-475d-8319-3e2e94f1dfaf · outbound

This paper cites In §V we put this NF technique in use to learn the connection 12 between SMBHs’ binary evolution parameters and their GWB characteristic-strain.

Deep Neural Emulation of the Supermassive Black-hole Binary Population In §V we put this NF technique in use to learn the connection 12 between SMBHs’ binary evolution parameters and their GWB characteristic-strain

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:41:52.555518Z

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Observation ef3b2632-1284-4525-84b0-42fc1ef40517 · outbound

This paper cites Afzal, G.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Afzal, G

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:41:52.456157Z

Source-reported events for the cited work

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Observation 8b9006fb-e066-42ae-9a36-9c51681758a0 · outbound

This paper cites Machine-learning interpolation of population-synthesis simulations to interpret gravitational-wave observations: a case study.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Machine-learning interpolation of population-synthesis simulations to interpret gravitational-wave observations: a case study

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.429740Z

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Observation a6c59162-7143-4e0f-920b-6817d93acec8 · outbound

This paper cites Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.434601Z

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Observation a6476d19-119e-4839-90b5-0ad66f8a0e1f · outbound

This paper cites Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.440051Z

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Observation 1e4aed2a-2dcf-4905-810c-589a6b49a0a2 · outbound

This paper cites Gravitational wave population inference with deep flow-based generative network.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Gravitational wave population inference with deep flow-based generative network

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.444799Z

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Observation e5696192-dded-40b0-b7fe-6bf8b16f0799 · outbound

This paper cites Neural Networks unveiling the properties of gravitational wave background from massive black hole binaries.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Neural Networks unveiling the properties of gravitational wave background from massive black hole binaries

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.449583Z

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Observation 7c6b676e-6844-43f9-acc4-09381d35054d · outbound

This paper cites Delbourgo and J.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Delbourgo and J

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:41:52.440029Z

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Observation e1ce0529-6282-469b-9e93-1d931e6deded · outbound

This paper cites Neural Spline Flows.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Neural Spline Flows

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.459288Z

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Observation 4cc7ea1e-02bf-468e-9fff-ce180bb39fa6 · outbound

This paper cites A Practical Theorem on Gravitational Wave Backgrounds.

Deep Neural Emulation of the Supermassive Black-hole Binary Population A Practical Theorem on Gravitational Wave Backgrounds

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.464207Z

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Observation d0d9dcd0-4175-4422-89ae-92f7cfd76d08 · outbound

This paper cites an unresolved cited work.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Unresolved cited work

Reference 33

Resolution: verified exact; raw_fallback, observed 2026-08-12T19:41:51.897914Z

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Observation b589cbb7-b07b-442e-b26f-181f2532bcc7 · outbound

This paper cites Constraining astrophysical observables of Galaxy and Supermassive Black Hole Binary Mergers using Pulsar Timing Arrays.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Constraining astrophysical observables of Galaxy and Supermassive Black Hole Binary Mergers using Pulsar Timing Arrays

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.473895Z

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Observation 8409a9db-3f92-42f6-9dfa-dbd63a175bb1 · outbound

This paper cites Coevolution (Or Not) of Supermassive Black Holes and Host Galaxies.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Coevolution (Or Not) of Supermassive Black Holes and Host Galaxies

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.479058Z

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Observation e88f85a7-b52a-45f2-89ed-ec6c776ee19a · outbound

This paper cites Nine-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Parameter Results.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Nine-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Parameter Results

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.483849Z

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Observation e4382311-d6b2-47d5-9bf4-4e83d5270b37 · outbound

This paper cites Gaussian Process regression for astronomical time-series.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Gaussian Process regression for astronomical time-series

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.488772Z

Source-reported events for the cited work

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Observation 59a965b3-3969-4f1d-9a7a-49249b2b9df9 · outbound

This paper cites Spectral Variance in a Stochastic Gravitational-Wave Background From a Binary Population.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Spectral Variance in a Stochastic Gravitational-Wave Background From a Binary Population

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.493690Z

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Observation 638fbf36-8654-4c11-9a99-8090713de104 · outbound

This paper cites The NANOGrav 11-Year Data Set: Evolution of Gravitational Wave Background Statistics.

Deep Neural Emulation of the Supermassive Black-hole Binary Population The NANOGrav 11-Year Data Set: Evolution of Gravitational Wave Background Statistics

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:41:51.718371Z

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Observation f0770ea7-abeb-421a-83b3-e0ef70872d81 · outbound

This paper cites Ambikasaran, D.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Ambikasaran, D

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:41:52.424569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20d3b710-cf76-49a5-a035-99db1885ee73 · outbound

This paper cites Mining Gravitational-wave Catalogs To Understand Binary Stellar Evolution: A New Hierarchical Bayesian Framework.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Mining Gravitational-wave Catalogs To Understand Binary Stellar Evolution: A New Hierarchical Bayesian Framework

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.507749Z

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Observation a9cefffc-f513-4448-bab6-2828d896a923 · outbound

This paper cites an unresolved cited work.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Unresolved cited work

Reference 42

Resolution: verified exact; doi, observed 2026-08-12T19:41:51.625812Z

Source-reported events for the cited work

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Observation b55689ea-f6a8-4276-90ac-9f553522a2b2 · outbound

This paper cites an unresolved cited work.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.517771Z

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Observation f7c4342d-96f9-445f-a0ee-ac4071fa43ec · outbound

This paper cites Kobyzev, S.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Kobyzev, S

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:41:52.409033Z

Source-reported events for the cited work

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Observation 5694165c-568f-4af6-a753-d96426c8572c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Adam: A Method for Stochastic Optimization

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.527341Z

Source-reported events for the cited work

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Observation 02ca12d1-5123-4af5-9e48-712bfa959817 · outbound

This paper cites Kullback and R.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Kullback and R

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.532228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5594cf90-16a0-4adb-9ea6-4b1b1f2d7618 · outbound

This paper cites Germain, K.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Germain, K

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:41:52.383060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f7f94d4f-27fe-4e44-826d-27a0d439b064 · outbound

This paper cites Hellinger, Neue begr¨ undung der theorie quadratischer formen von unendlichvielen ver¨ anderlichen., Journal f¨ ur die reine und angewandte Mathematik 1909, 210 (1909).

Deep Neural Emulation of the Supermassive Black-hole Binary Population Hellinger, Neue begr¨ undung der theorie quadratischer formen von unendlichvielen ver¨ anderlichen., Journal f¨ ur die reine und angewandte Mathematik 1909, 210 (1909)

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.541942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4411368e-04ce-4cbb-854d-0bcc557519c4 · outbound

This paper cites Bingham, J.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Bingham, J

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:41:52.356968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dd6e13cc-1d3b-4f59-8efa-0d98e699d507 · outbound

This paper cites The Need For Speed: Rapid Refitting Techniques for Bayesian Spectral Characterization of the Gravitational Wave Background Using PTAs.

Deep Neural Emulation of the Supermassive Black-hole Binary Population The Need For Speed: Rapid Refitting Techniques for Bayesian Spectral Characterization of the Gravitational Wave Background Using PTAs

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.551611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f8960d1-7c02-4223-a14a-5254de8ed5fe · outbound

This paper cites Exploring the Capabilities of Gibbs Sampling in Pulsar Timing Arrays.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Exploring the Capabilities of Gibbs Sampling in Pulsar Timing Arrays

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:41:51.649408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc6ca273-97f9-4357-9d75-4c6dc75eb6da · outbound

This paper cites Kumar, C.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Kumar, C

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:41:52.341046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9a4b09a3-1105-434a-bfdc-2a36b8f8d418 · outbound

This paper cites Ellis and R.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Ellis and R

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.566383Z

Source-reported events for the cited work

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Observation f2451495-544f-4e5d-9e73-65d737cd9f95 · outbound

This paper cites Ansel, E.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Ansel, E

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:41:52.314191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 795f5505-b007-4f55-9ea1-f2b740a29d51 · outbound

This paper cites an unresolved cited work.

Deep Neural Emulation of the Supermassive Black-hole Binary Population Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:51.575699Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation fed08675-f321-41b0-a16d-6b69472f6a3f · inbound

Replacing Gaussian Processes with Neural Networks in Pulsar Timing Array Inference of the Gravitational-Wave Background cites this paper.

Replacing Gaussian Processes with Neural Networks in Pulsar Timing Array Inference of the Gravitational-Wave Background Deep Neural Emulation of the Supermassive Black-hole Binary Population

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:55:51.670189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ec280efb-5a16-4add-a5b5-b233169aa670 · inbound

A practical theorem on gravitational-wave background statistics cites this paper.

A practical theorem on gravitational-wave background statistics Deep Neural Emulation of the Supermassive Black-hole Binary Population

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:26:06.006407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4681935f-ec33-43f3-8c7a-a1f05f25a53d · inbound

Detecting Gravitational-Wave Anisotropies with Simulation-Based Inference cites this paper.

Detecting Gravitational-Wave Anisotropies with Simulation-Based Inference Deep Neural Emulation of the Supermassive Black-hole Binary Population

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:44:45.529576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 321f9cc3-ad76-4c57-aa6e-3cd93bc2617d · inbound

Summary statistic for pulsar timing arrays cites this paper.

Summary statistic for pulsar timing arrays Deep Neural Emulation of the Supermassive Black-hole Binary Population

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T15:56:34.594370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.