Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations | Paper Citation Record

Observation 5097f71b-9b61-40ae-9279-f4817b12cb75 · outbound

This paper cites write newline.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations write newline

Reference 1

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Observation 12cd8413-2a02-49af-9ba3-88bdd28285b3 · outbound

This paper cites A., 2018, @doi [ ] 10.1093/mnras/sty1169 , https://ui.adsabs.harvard.edu/\#abs/2018MNRAS.478.3410A 478, 3410.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations A., 2018, @doi [ ] 10.1093/mnras/sty1169 , https://ui.adsabs.harvard.edu/\#abs/2018MNRAS.478.3410A 478, 3410

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Observation 40e40955-1f50-46a1-8e1d-7fd99d5e9e0e · outbound

This paper cites M., 2006, @doi [Reports on Progress in Physics] 10.1088/0034-4885/69/12/R02 , https://ui.adsabs.harvard.edu/\#abs/2006RPPh...69.3101B 69, 3101.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations M., 2006, @doi [Reports on Progress in Physics] 10.1088/0034-4885/69/12/R02 , https://ui.adsabs.harvard.edu/\#abs/2006RPPh...69.3101B 69, 3101

Reference 4

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Observation 42c244db-e080-4266-b496-da04ebc20fce · outbound

This paper cites S., Wechsler R.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations S., Wechsler R

Reference 5

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Observation 784c105e-f498-46cb-b408-6c5cf65b8905 · outbound

This paper cites UniverseMachine: The Correlation between Galaxy Growth and Dark Matter Halo Assembly from z=0-10.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations UniverseMachine: The Correlation between Galaxy Growth and Dark Matter Halo Assembly from z=0-10

Reference 6

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Observation c2b4c76b-05c1-47a6-8295-c3debc835959 · outbound

This paper cites J., 2010, @doi [ ] 10.1016/j.physrep.2010.06.001 , https://ui.adsabs.harvard.edu/\#abs/2010PhR...495...33B 495, 33.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations J., 2010, @doi [ ] 10.1016/j.physrep.2010.06.001 , https://ui.adsabs.harvard.edu/\#abs/2010PhR...495...33B 495, 33

Reference 7

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Observation 2a8bd790-5a51-4263-9378-1c848f0d066e · outbound

This paper cites S., Dekel A., Kolatt T.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations S., Dekel A., Kolatt T

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.441984Z

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Observation b49d2418-10df-4948-90a2-5fcb505dac1d · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.446605Z

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Observation 54d54255-f3f6-4636-a5ce-5155ecf69ef4 · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.451364Z

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Observation f98a3130-50af-49a4-8a12-f7e8fef0af07 · outbound

This paper cites A., et al., 2018, @doi [ ] 10.1093/mnras/sty1131 , https://ui.adsabs.harvard.edu/\#abs/2018MNRAS.479....2C 479, 2.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations A., et al., 2018, @doi [ ] 10.1093/mnras/sty1131 , https://ui.adsabs.harvard.edu/\#abs/2018MNRAS.479....2C 479, 2

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Observation 413f9961-bf8a-484b-b691-88899f3b0af1 · outbound

This paper cites J., et al., 2016, @doi [ ] 10.3847/0067-0049/222/2/22 , https://ui.adsabs.harvard.edu/\#abs/2016ApJS..222...22C 222, 22.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations J., et al., 2016, @doi [ ] 10.3847/0067-0049/222/2/22 , https://ui.adsabs.harvard.edu/\#abs/2016ApJS..222...22C 222, 22

Reference 16

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Observation a09b0394-7967-4adf-bfa8-167a9de795a4 · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 17

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Observation adb6dce5-6bc3-4219-bdd4-87d924151c50 · outbound

This paper cites F., 2016, @doi [ ] 10.1093/mnras/stw1862 , https://ui.adsabs.harvard.edu/\#abs/2016MNRAS.462.3265D 462, 3265.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations F., 2016, @doi [ ] 10.1093/mnras/stw1862 , https://ui.adsabs.harvard.edu/\#abs/2016MNRAS.462.3265D 462, 3265

Reference 19

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Observation 427a16b6-1bad-4e56-ab26-9736e648461f · outbound

This paper cites Simba: Cosmological Simulations with Black Hole Growth and Feedback.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Simba: Cosmological Simulations with Black Hole Growth and Feedback

Reference 20

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Observation fa7cd7f7-e3d5-442a-9c71-b570a3c7ff18 · outbound

This paper cites S., White S.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations S., White S

Reference 21

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 22

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Observation 133b65a6-a4c8-47ad-817e-d32e226f7369 · outbound

This paper cites R., Schaye J., Kay S.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations R., Schaye J., Kay S

Reference 23

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This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.496419Z

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 25

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Observation d8f76b7c-cbef-4aa8-bb99-d399436bc9cb · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 26

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Observation a063cd22-a5ed-40a0-b630-d81a1f715ce9 · outbound

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 27

Resolution: verified exact; doi, observed 2026-08-14T11:05:15.207005Z

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Observation 734e3c8e-99ab-4de4-b0ec-89c7ae4aa991 · outbound

This paper cites A., Barnes D.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations A., Barnes D

Reference 28

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Observation 16794d62-921b-4442-ad0f-4048dc677011 · outbound

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 29

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 30

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Observation cd70eb29-f924-42d4-9f79-7515971481f3 · outbound

This paper cites M., Turk M.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations M., Turk M

Reference 31

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Observation 889827c2-a486-4f8a-9498-b86a9faea9ed · outbound

This paper cites M., Turk M.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations M., Turk M

Reference 32

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Observation 32803412-fa27-43d5-b674-bfdbbf2d1f76 · outbound

This paper cites H., Hernquist L., 1996, @doi [ ] 10.1086/192305 , https://ui.adsabs.harvard.edu/\#abs/1996ApJS..105...19K 105, 19.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations H., Hernquist L., 1996, @doi [ ] 10.1086/192305 , https://ui.adsabs.harvard.edu/\#abs/1996ApJS..105...19K 105, 19

Reference 33

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Observation 61584113-0278-4436-9df7-7cc7a9b1fb0a · outbound

This paper cites V., Khokhlov A.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations V., Khokhlov A

Reference 34

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Observation 9f8c04eb-fa8b-4e75-bf4e-96556adbf312 · outbound

This paper cites A., Trujillo-Gomez S., Primack J., 2011, @doi [ ] 10.1088/0004-637X/740/2/102 , https://ui.adsabs.harvard.edu/abs/2011ApJ...740..102K 740, 102.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations A., Trujillo-Gomez S., Primack J., 2011, @doi [ ] 10.1088/0004-637X/740/2/102 , https://ui.adsabs.harvard.edu/abs/2011ApJ...740..102K 740, 102

Reference 35

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Observation 9c1c912e-b7d4-4664-83ee-021c02ed80ea · outbound

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.551631Z

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Observation 8846a78a-8830-4bd4-9418-08cf81d42df4 · outbound

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 37

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Observation cd96e698-eb3a-4c8a-9ba9-1cb542bc0fa4 · outbound

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 38

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This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 39

Resolution: verified exact; doi, observed 2026-08-14T11:05:15.092837Z

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Observation 525b4bbf-67a8-4ee4-a271-2a85584139ef · outbound

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 41

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This paper cites P., Naab T., White S.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations P., Naab T., White S

Reference 42

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This paper cites P., et al., 2018, @doi [ ] 10.1093/mnras/sty618 , https://ui.adsabs.harvard.edu/\#abs/2018MNRAS.477.1206N 477, 1206.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations P., et al., 2018, @doi [ ] 10.1093/mnras/sty618 , https://ui.adsabs.harvard.edu/\#abs/2018MNRAS.477.1206N 477, 1206

Reference 43

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Observation b18a6b4b-9c77-444c-a1e3-f966f5d85e95 · outbound

This paper cites F., Frenk C.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations F., Frenk C

Reference 44

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This paper cites The IllustrisTNG Simulations: Public Data Release.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations The IllustrisTNG Simulations: Public Data Release

Reference 45

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 46

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 47

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 48

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-14T11:05:15.590413Z

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Observation c2e18ee0-35a2-4c40-a5a6-a933f838a50f · outbound

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 49

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 50

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Observation addc7b8c-896f-4256-b9ec-4c03e0b35583 · outbound

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 51

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Observation f8750ed0-98c7-42ec-b35b-e221b9cc845f · outbound

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 52

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Observation ea56c805-6b80-4ca8-87a4-89da58ff033d · outbound

This paper cites A., Simonneau E., Betancort-Rijo J., Patiri S., Gottl \"o ber S., Sanchez-Conde M.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations A., Simonneau E., Betancort-Rijo J., Patiri S., Gottl \"o ber S., Sanchez-Conde M

Reference 53

Resolution: verified exact; doi, observed 2026-08-14T11:05:14.988502Z

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Observation 7f33686e-c21a-4e0b-8088-521cd4431792 · outbound

This paper cites A., Cuesta A.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations A., Cuesta A

Reference 54

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-14T11:05:16.013822Z

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 55

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 56

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Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 57

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This paper cites R., Avila-Reese V., Faber S.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations R., Avila-Reese V., Faber S

Reference 58

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Observation 27576723-aa58-4502-a852-102c3c6a3749 · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.658130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d4e6cf0-663a-46b9-9c8f-04df3b9f76b6 · outbound

This paper cites S., Crain R.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations S., Crain R

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.662845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbd8a6eb-d195-46d1-8293-f4587131c58e · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 61

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-14T11:05:15.959402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e00653d6-bed4-424c-91dd-42ad2c29ce1a · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.672220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 757b14d8-5bc3-403f-821b-36f4f2140808 · outbound

This paper cites A., 2012, @doi [Research in Astronomy and Astrophysics] 10.1088/1674-4527/12/8/004 , https://ui.adsabs.harvard.edu/\#abs/2012RAA....12..917S 12, 917.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations A., 2012, @doi [Research in Astronomy and Astrophysics] 10.1088/1674-4527/12/8/004 , https://ui.adsabs.harvard.edu/\#abs/2012RAA....12..917S 12, 917

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.677275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9afebecb-2136-49ad-853b-d54aedd87fef · outbound

This paper cites Dark Sky Simulations: Early Data Release.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Dark Sky Simulations: Early Data Release

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.682011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06de5b09-e083-4e5d-b9dd-0bf8e33172db · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 68

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-14T11:05:15.850629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a18d5031-670e-4ea3-af88-646e919c9d6c · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.704614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c29821-6f79-4ee0-aaad-c49f8dc46f70 · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 70

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-14T11:05:15.537457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 210895b7-b852-403d-bce2-b9a6e7bfc4dd · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.713175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b14b5c23-745f-493c-9f5e-e95aea36cff8 · outbound

This paper cites Springer International Publishing, pp 21--36.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Springer International Publishing, pp 21--36

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:16.045544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a01dfd27-5523-4f73-802c-ac08ac7a1d56 · outbound

This paper cites R., Pontzen A., Anderson L., Bellovary J., 2017, @doi [ ] 10.1093/mnras/stx1160 , https://ui.adsabs.harvard.edu/\#abs/2017MNRAS.470.1121T 470, 1121.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations R., Pontzen A., Anderson L., Bellovary J., 2017, @doi [ ] 10.1093/mnras/stx1160 , https://ui.adsabs.harvard.edu/\#abs/2017MNRAS.470.1121T 470, 1121

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.727934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 526a5931-b3e2-4d25-a70f-d5381c5c09a1 · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.733062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5855732-c317-429d-91cd-6a3b24134228 · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.737852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b7af301-5724-4ac7-a23e-e4a2b2a9c580 · outbound

This paper cites A., Iliev I.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations A., Iliev I

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.742842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c15a8e2a-1f09-40f0-92fd-985de119404d · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.748372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf819197-7f42-4920-8090-85fdc05bd5cc · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.753626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd51db46-d288-4702-8519-a02b7d024b88 · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.758524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7aaed85-3657-4503-aa11-919dc4ad2ecd · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 81

Resolution: verified exact; doi, observed 2026-08-14T11:05:14.820051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 519bb7dd-039c-444e-9d66-7ba201dcd00f · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 82

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-14T11:05:15.498696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f4dcf606-c651-48db-a036-5bd26545b20e · outbound

This paper cites an unresolved cited work.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.772721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43ced4b2-e245-4ea9-93c7-8b6da918aef0 · outbound

This paper cites From Dark Matter to Galaxies with Convolutional Networks.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations From Dark Matter to Galaxies with Convolutional Networks

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:14.777170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91091a36-60cb-4966-8299-ba8cc205b906 · outbound

This paper cites write newline.

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations write newline

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:16.029831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers