The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference | Paper Citation Record

Observation ca08bd34-9a21-423a-b5dd-13cdf9582319 · outbound

This paper cites CMB-S4 Science Case, Reference Design, and Project Plan.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference CMB-S4 Science Case, Reference Design, and Project Plan

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:09.455831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb84fe5d-76d1-450b-877f-9126823c3009 · outbound

This paper cites The XXL Survey XX: The 365 cluster catalogue.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The XXL Survey XX: The 365 cluster catalogue

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:09.499683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80266e2c-baec-4932-8a8b-1d6d2596d823 · outbound

This paper cites an unresolved cited work.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:48:21.835418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 12e9c989-754e-4c32-bbf8-185efc9d3454 · outbound

This paper cites W., Piffaretti, R., et al.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference W., Piffaretti, R., et al

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:21.626870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2e7a380c-ad03-4ed4-912d-58091d288bb5 · outbound

This paper cites E., Bulbul, E., Clerc, N., et al.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference E., Bulbul, E., Clerc, N., et al

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:21.425264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cf5e2624-8624-4406-99b7-f4d8235d7b8c · outbound

This paper cites 2016, Journal of Open Source Software, 1, 58.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2016, Journal of Open Source Software, 1, 58

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:09.847159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54779ff0-6520-4eb1-9170-116d17810249 · outbound

This paper cites & Arnouts, S.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference & Arnouts, S

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:21.221956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 811f4912-bab0-45ca-9a0a-d0e354c00e08 · outbound

This paper cites an unresolved cited work.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:48:21.002645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 46825917-438e-4264-aad6-51aff962b147 · outbound

This paper cites P., Schrabback, T., et al.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference P., Schrabback, T., et al

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:20.738296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 27e31a29-a4e5-4f39-89c8-ff8da3c78f74 · outbound

This paper cites Multiprobe Cosmology from the Abundance of SPT Clusters and DES Galaxy Clustering and Weak Lensing.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Multiprobe Cosmology from the Abundance of SPT Clusters and DES Galaxy Clustering and Weak Lensing

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:48:16.945580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e38a281c-24b3-4392-a71b-2774a2185b04 · outbound

This paper cites an unresolved cited work.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:48:20.605649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dd03c096-17a4-4a6c-badc-3d0882400adc · outbound

This paper cites N., Mohr, J.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference N., Mohr, J

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:20.453527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 89043724-52eb-41e7-b590-19e6b08bc8bb · outbound

This paper cites 2024, Astronomy and Astrophysics, 682, A138, aDS Bibcode: 2024A&A...682A.138C.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2024, Astronomy and Astrophysics, 682, A138, aDS Bibcode: 2024A&A...682A.138C

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:20.303949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c56b5d3e-07cd-492f-85b6-e084a8cd0132 · outbound

This paper cites an unresolved cited work.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:48:20.174467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6bea2359-5406-44bd-9819-4a4db3437ceb · outbound

This paper cites The cosmological analysis of X-ray cluster surveys: I- A new method for interpreting number counts.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The cosmological analysis of X-ray cluster surveys: I- A new method for interpreting number counts

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T20:48:16.633623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 64954de0-022a-47f8-855b-6692252118b0 · outbound

This paper cites The cosmological analysis of X-ray cluster surveys: II- Application of the CR-HR method to the XMM archive.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The cosmological analysis of X-ray cluster surveys: II- Application of the CR-HR method to the XMM archive

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T20:48:16.318721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94c76bf4-4fde-4500-86bc-63fb6213b4bd · outbound

This paper cites 2024, Euclid.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2024, Euclid

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:10.903856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b50a2b3-173b-4066-9424-791ae9ddcdd2 · outbound

This paper cites 2018, Journal of Cosmology and Astroparticle Physics, 2018, 009, publisher: IOP ADS Bibcode: 2018JCAP...11..009D.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2018, Journal of Cosmology and Astroparticle Physics, 2018, 009, publisher: IOP ADS Bibcode: 2018JCAP...11..009D

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:19.998824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a968c6d6-56ee-4dfa-aa57-f546b8c7fd47 · outbound

This paper cites Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:48:16.004893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eea9c890-ee06-4832-9e62-0d1407f8f553 · outbound

This paper cites R., Ji, L., Smith, R.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference R., Ji, L., Smith, R

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:19.831591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 38a9bf0e-4488-452a-8b20-b0ab52efc17d · outbound

This paper cites The XXL survey: XLVI. Forward cosmological analysis of the C1 cluster sample.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The XXL survey: XLVI. Forward cosmological analysis of the C1 cluster sample

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T20:48:15.743210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 44261463-31cd-4e8c-864f-142ab1c61b05 · outbound

This paper cites The SRG/eROSITA all-sky survey: Cosmology constraints from cluster abundances in the western Galactic hemisphere.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The SRG/eROSITA all-sky survey: Cosmology constraints from cluster abundances in the western Galactic hemisphere

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:11.361002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 828a4a45-6682-45d3-8bf5-5d06c0770dd3 · outbound

This paper cites HIFlow: Generating Diverse HI Maps and Inferring Cosmology while Marginalizing over Astrophysics using Normalizing Flows.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference HIFlow: Generating Diverse HI Maps and Inferring Cosmology while Marginalizing over Astrophysics using Normalizing Flows

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:11.423284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5364741c-3cc2-41b4-8d12-971948e7542a · outbound

This paper cites Deep Residual Learning for Image Recognition.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Deep Residual Learning for Image Recognition

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:11.504150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afb26648-a7c3-40ab-a393-a405f3681c08 · outbound

This paper cites P., Gioia, I.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference P., Gioia, I

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:19.699556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0b1e45fd-2cd9-4fb2-830e-57e9cd1c178b · outbound

This paper cites Likelihood-free inference with neural compression of DES SV weak lensing map statistics.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Likelihood-free inference with neural compression of DES SV weak lensing map statistics

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:11.607854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eda05e2-d4d3-4a68-bd34-a4e98c613c99 · outbound

This paper cites 1986, Monthly Notices of the Royal Astronomical Society, 222, 323, publisher: OUP ADS Bibcode: 1986MNRAS.222..323K.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 1986, Monthly Notices of the Royal Astronomical Society, 222, 323, publisher: OUP ADS Bibcode: 1986MNRAS.222..323K

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:19.531127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1aae6f7b-6140-4478-b72f-e7cca0ed2876 · outbound

This paper cites 2024, The cosmological analy- sis of X-ray cluster surveys: VI.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2024, The cosmological analy- sis of X-ray cluster surveys: VI

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:19.381075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e978349b-36fc-4cbb-9a5b-ef5b416ff98a · outbound

This paper cites an unresolved cited work.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:48:19.249667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e905458b-3810-4bf2-9bfc-d9c1b9e35884 · outbound

This paper cites Hybrid Physical-Neural ODEs for Fast N-body Simulations.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Hybrid Physical-Neural ODEs for Fast N-body Simulations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:11.961424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a756f3ac-d26e-4c82-b90a-d4a6d2b2a089 · outbound

This paper cites Optimal Neural Summarisation for Full-Field Weak Lensing Cosmological Implicit Inference.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Optimal Neural Summarisation for Full-Field Weak Lensing Cosmological Implicit Inference

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:12.060083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5556ce4b-22ce-4ec9-88e5-e84e36e0f07f · outbound

This paper cites Zooming by in the CARPoolGP lane: new CAMELS-TNG simulations of zoomed-in massive halos.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Zooming by in the CARPoolGP lane: new CAMELS-TNG simulations of zoomed-in massive halos

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T20:48:15.480598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4c91ea31-0d90-4368-9dca-9c20168faaf1 · outbound

This paper cites Cosmology with the SKA -- overview.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Cosmology with the SKA -- overview

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:12.183062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5da729f-7df7-4c72-8e09-cb0911f11c1b · outbound

This paper cites W., Rapetti, D., & Ebeling, H.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference W., Rapetti, D., & Ebeling, H

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:19.118672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19be4f09-e837-42c5-b90f-b41cdc16ee0b · outbound

This paper cites B., Allen, S.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference B., Allen, S

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:18.969403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0e844f86-c2eb-48e3-8eb8-467ab6ba22ad · outbound

This paper cites J., Giles, P.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference J., Giles, P

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:18.811965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c2019693-46e5-49af-872a-de06bd061830 · outbound

This paper cites Quantifying Baryonic Feedback on Warm-Hot Circumgalactic Medium in CAMELS Simulations.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Quantifying Baryonic Feedback on Warm-Hot Circumgalactic Medium in CAMELS Simulations

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:12.555727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f938ed45-1463-4b20-afa7-867528371025 · outbound

This paper cites The Hot and Energetic Universe: A White Paper presenting the science theme motivating the Athena+ mission.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The Hot and Energetic Universe: A White Paper presenting the science theme motivating the Athena+ mission

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:12.636483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c9cb789-7c8c-43ea-870b-8700b6df95f8 · outbound

This paper cites 2019, Computational Astrophysics and Cosmology, 6, 2.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2019, Computational Astrophysics and Cosmology, 6, 2

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:12.735259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95cac05d-2fc9-4c75-8be3-782a9810cfd1 · outbound

This paper cites 2023, The Astrophysical Journal, 959, 136, publisher: The American Astronomical Society.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2023, The Astrophysical Journal, 959, 136, publisher: The American Astronomical Society

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:18.567573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a96dfaeb-7ff2-49c8-aeb4-13941c0e2a10 · outbound

This paper cites Agora: Multi-Component Simulation for Cross-Survey Science.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Agora: Multi-Component Simulation for Cross-Survey Science

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:12.896529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbd60d9c-981e-4bcd-8af6-44d41202b87c · outbound

This paper cites The XXL Survey XXV. Cosmological analysis of the C1 cluster number counts.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The XXL Survey XXV. Cosmological analysis of the C1 cluster number counts

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:12.998538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0bd3f9e-0773-4d02-b188-e185fca0ac8b · outbound

This paper cites The XMM Large Scale Structure survey: The X-ray pipeline and survey selection function.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The XMM Large Scale Structure survey: The X-ray pipeline and survey selection function

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T20:48:15.207357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d1388efc-af6a-46b1-939f-008a499f491d · outbound

This paper cites Fast $\epsilon$-free Inference of Simulation Models with Bayesian Conditional Density Estimation.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Fast $\epsilon$-free Inference of Simulation Models with Bayesian Conditional Density Estimation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:13.179333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37837386-0fff-42c8-9cd6-e8ddca81e66a · outbound

This paper cites S., & White, M.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference S., & White, M

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:18.336865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 910f27e8-a65a-4462-babf-b17f5ba07caf · outbound

This paper cites 2016, Astronomy & Astrophysics, 592, A1, publisher: EDP Sciences.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2016, Astronomy & Astrophysics, 592, A1, publisher: EDP Sciences

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:18.025821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 21abb69c-5dda-4c4f-bab2-84b87b5f0049 · outbound

This paper cites Simulating Galaxy Formation with the IllustrisTNG Model.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Simulating Galaxy Formation with the IllustrisTNG Model

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:13.432491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fd12bdb-8f9b-48e0-aa12-0ac7d36f3ca6 · outbound

This paper cites Sunyaev-Zel'dovich effect and X-ray scaling relations of galaxies, groups and clusters in the IllustrisTNG simulations.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Sunyaev-Zel'dovich effect and X-ray scaling relations of galaxies, groups and clusters in the IllustrisTNG simulations

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:13.501583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ae459e6-3497-4e07-b2f6-835057ea3bd2 · outbound

This paper cites 2021, Astronomy & Astrophysics, 647, A1, publisher: EDP Sciences.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2021, Astronomy & Astrophysics, 647, A1, publisher: EDP Sciences

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:17.899583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a3f6d52b-1aaf-45c2-8e5c-f1ab0c0ec75e · outbound

This paper cites Galaxy cluster count cosmology with simulation-based inference.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Galaxy cluster count cosmology with simulation-based inference

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:13.664382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f290bb0b-0bcd-42b1-9c90-2e7f8af07997 · outbound

This paper cites Variational Inference with Normalizing Flows.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Variational Inference with Normalizing Flows

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:13.728658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b173218-04fb-4078-bd31-d35d2f79efeb · outbound

This paper cites Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:13.793391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d738cd8-4207-4ee3-a2c7-b21ccf88026a · outbound

This paper cites The Design and Integrated Performance of SPT-3G.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The Design and Integrated Performance of SPT-3G

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:13.859261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1212a426-e1be-4ec6-a405-b79e252ef7c8 · outbound

This paper cites 2020, Journal of Open Source Software, 5, 2505, publisher: The Open Journal.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2020, Journal of Open Source Software, 5, 2505, publisher: The Open Journal

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:17.769184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 82c229a9-9457-4b5e-9d0d-0038942c16c8 · outbound

This paper cites An Exploration of AGN and Stellar Feedback Effects in the Intergalactic Medium via the Low Redshift Lyman-$\alpha$ Forest.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference An Exploration of AGN and Stellar Feedback Effects in the Intergalactic Medium via the Low Redshift Lyman-$\alpha$ Forest

Reference 55

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T20:48:14.881589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 80638758-03d5-44c6-8715-5194fa7358ad · outbound

This paper cites Toward a halo mass function for precision cosmology: the limits of universality.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Toward a halo mass function for precision cosmology: the limits of universality

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:14.003468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bb913a3-2f98-40c1-98be-4d2030dba7d8 · outbound

This paper cites Correlations between supermassive black holes and hot gas atmospheres in IllustrisTNG and X-ray observations.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Correlations between supermassive black holes and hot gas atmospheres in IllustrisTNG and X-ray observations

Reference 57

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T20:48:14.737162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 69dfb3fb-42ab-489e-810c-9eba3850a69b · outbound

This paper cites Chandra Cluster Cosmology Project III: Cosmological Parameter Constraints.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Chandra Cluster Cosmology Project III: Cosmological Parameter Constraints

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:14.112009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3a2cf3d-4db2-42b6-bd32-b3b8fc00bf3a · outbound

This paper cites 2021, The Astro- physical Journal, 915, 71, publisher: The American Astronomical Society.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 2021, The Astro- physical Journal, 915, 71, publisher: The American Astronomical Society

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:17.710076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d2a5ef80-1db2-4d6f-b84d-562312e18836 · outbound

This paper cites The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:14.259575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b276f17d-096b-4394-8a74-3bbe54b92250 · outbound

This paper cites The CAMELS project: public data release.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The CAMELS project: public data release

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:14.309797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d491c2c-18dd-4a3f-909c-3177e72442a2 · outbound

This paper cites an unresolved cited work.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:48:17.571866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d41daddc-306f-4b7b-91f2-d1e5021ebb54 · outbound

This paper cites Extracting cosmological information from the abundance of galaxy clusters with simulation-based inference.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference Extracting cosmological information from the abundance of galaxy clusters with simulation-based inference

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T20:48:14.424356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 883080cd-9a04-4024-8765-08ab8944bb77 · outbound

This paper cites 1933, Helvetica Physica Acta, V ol.

The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference 1933, Helvetica Physica Acta, V ol

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:48:17.303245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers