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Paper Citation Record · LEDGER

FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2306.05492.

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pith.paper-citation-record.v1
2306.05492 v2

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measured 0 of 0 reference resolution

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measured 10 of 10 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:52.326297Z

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

Source: arxiv_reference, observed 2026-05-20T16:13:34.070199Z

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Outbound references

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Pith citing papers

Observation a557dd26-9273-43ce-aa9a-809d3c4758a8 · inbound

Cosmological feedback from a halo assembly perspective cites this paper.

Cosmological feedback from a halo assembly perspective FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning

Reference 53

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Unavailable: canonical work link unavailable.

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Observation dfae6f80-d5c2-49c4-8585-c5cc8a20a007 · inbound

Baryonification II: Constraining feedback with X-ray and kinematic Sunyaev-Zel'dovich observations cites this paper.

Baryonification II: Constraining feedback with X-ray and kinematic Sunyaev-Zel'dovich observations FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning

Reference 66

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no resolver link, observed 2026-08-06T18:36:06.266095Z

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Observation e9522d4c-46c8-4b77-8c11-fdf694e8a840 · inbound

Cosmological Simulations of Galaxies cites this paper.

Cosmological Simulations of Galaxies FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning

Reference 179

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no resolver link, observed 2026-08-06T18:16:09.937801Z

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Observation 7a351ae9-0137-47ef-8dfe-23b0f9148ce5 · inbound

Fast radio burst dispersion is an unbiased tracer of matter on large scales cites this paper.

Fast radio burst dispersion is an unbiased tracer of matter on large scales FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning

Reference 21

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verified exact
arxiv_id, observed 2026-05-12T00:41:22.685143Z

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Observation 1b67a015-c8cc-4918-8713-803d0ffd9f03 · inbound

Constraints on Halo Gas Profiles from Joint kSZ and Galaxy Clustering Analysis of ACT DR6 and CMASS cites this paper.

Constraints on Halo Gas Profiles from Joint kSZ and Galaxy Clustering Analysis of ACT DR6 and CMASS FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning

Reference 36

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verified exact
arxiv_id, observed 2026-05-09T05:50:26.561823Z

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Observation 16adf800-8d9e-434b-980b-0bd16a97e91f · inbound

The limits of feedback from active galactic nuclei cites this paper.

The limits of feedback from active galactic nuclei FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning

Reference 48

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verified exact
arxiv_id, observed 2026-05-20T16:13:34.072148Z

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Observation 0b085aa1-669e-4d3f-9e46-17ed75104037 · inbound

Evaluating the flexibility of the MillenniumTNG galaxy formation model with multi-zoom re-simulations cites this paper.

Evaluating the flexibility of the MillenniumTNG galaxy formation model with multi-zoom re-simulations FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning

Reference 17

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Observation ec941c21-aa7c-4855-a50e-a62866530d3f · inbound

Interpreting the stacked kinetic SZ effect I: velocity reconstruction and non-linear velocity effects cites this paper.

Interpreting the stacked kinetic SZ effect I: velocity reconstruction and non-linear velocity effects FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning

Reference 51

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no resolver link, observed 2026-07-31T23:49:21.104451Z

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Observation a053040f-57ad-467b-9d9f-3ed72c19c5c3 · inbound

Cosmological constraining power of the redshifts, heights, and angular clustering of weak gravitational lensing peaks cites this paper.

Cosmological constraining power of the redshifts, heights, and angular clustering of weak gravitational lensing peaks FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning

Reference 7

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Observation 9956209e-ac59-441d-802e-decf9e84fd38 · inbound

The One-Loop Power Spectrum of Fast Radio Burst Dispersion Measures cites this paper.

The One-Loop Power Spectrum of Fast Radio Burst Dispersion Measures FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning

Reference 127

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unresolved
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