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Paper Citation Record · LEDGER

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning

As of 20 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 2 inbound Pith citation observations for arXiv:2509.00150.

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

pith.paper-citation-record.v1
2509.00150 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:57:27.782395Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T07:15:52.428072Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

21 of 21 outbound references displayed

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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 01d9da77-223b-4065-ab90-da719e4115c9 · outbound

This paper cites Report of the Dark Energy Task Force.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning Report of the Dark Energy Task Force

Reference 1

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Source-reported events for the cited work

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Observation 35172649-1b53-4ffa-bf2f-91e6885636b8 · outbound

This paper cites an unresolved cited work.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Observation bfceecb7-88bf-4451-b620-eab4921690c6 · outbound

This paper cites 2020, Proceedings of the National Academy of Science, 117, 48, 30055.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning 2020, Proceedings of the National Academy of Science, 117, 48, 30055

Reference 5

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Source-reported events for the cited work

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Observation c1504105-17f5-4551-87ff-fa486828c3d2 · outbound

This paper cites 2025, arXiv:2505.21610.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning 2025, arXiv:2505.21610

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 83fe0f36-67ef-4966-90dc-84b2aad53f08 · outbound

This paper cites G., et al.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning G., et al

Reference 8

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Observation aa7b9a99-cd95-4414-ae85-9eb1e69ef8ac · outbound

This paper cites 2024, Astronomy & Astrophysics, 689, A144.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning 2024, Astronomy & Astrophysics, 689, A144

Reference 80

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Observation a7986e0c-ad55-4955-88f1-b74e699beb50 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 83

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Source-reported events for the cited work

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Observation f8314bc2-8c46-4cee-99f0-ad2d6d718782 · outbound

This paper cites 2022, The Astronomical Journal, 164, 5,.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning 2022, The Astronomical Journal, 164, 5,

Reference 111

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Observation 4da5664a-9251-4739-a5cd-bf51cb3e9370 · outbound

This paper cites 2003, The Publications of the Astronomical Society of the Pacific, 115, 809,.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning 2003, The Publications of the Astronomical Society of the Pacific, 115, 809,

Reference 139

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Observation 687173cd-2b45-4667-b5e7-88f2a282b2ad · outbound

This paper cites S., Agertz, O., Berbel, A.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning S., Agertz, O., Berbel, A

Reference 207

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Observation 1b275b21-2799-46e9-86ec-4be34f4f6b8b · outbound

This paper cites 2025, Journal of Cosmology and Astroparticle Physics, 2025, 6,.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning 2025, Journal of Cosmology and Astroparticle Physics, 2025, 6,

Reference 363

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Source-reported events for the cited work

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Observation 9121a5ed-3e75-477a-bcaa-8e5e8b9fccf0 · outbound

This paper cites E., & White, M.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning E., & White, M

Reference 393

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Observation cf3a1b82-6b2c-497f-a325-bd8438a07d62 · outbound

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ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning Unresolved cited work

Reference 486

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Observation 5b15238e-3c54-4d59-b32c-521d9781437b · outbound

This paper cites & Fall, S.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning & Fall, S

Reference 712

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Observation 28a024bf-0452-4c08-b6cc-3a2db1120411 · outbound

This paper cites A., Helou, G., Magdis, G.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning A., Helou, G., Magdis, G

Reference 718

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verified fuzzy
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Source-reported events for the cited work

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Observation 60229f25-9dba-4d24-b75e-9eb5a2b64581 · outbound

This paper cites P., Robotham, A.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning P., Robotham, A

Reference 763

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Observation adff76ee-4301-4513-bcdc-8b26a646f850 · outbound

This paper cites P., Chaves-Montero, J., Alarcon, A., et al.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning P., Chaves-Montero, J., Alarcon, A., et al

Reference 905

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Observation 8f8e0e38-72f9-4bf1-a1c1-3f6cd71c82a9 · outbound

This paper cites 2020, The Astrophysical Journal Supplement Series, 249, 1,.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning 2020, The Astrophysical Journal Supplement Series, 249, 1,

Reference 1741

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Observation 1311807d-6466-4047-9929-389cb490b52e · outbound

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ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning Unresolved cited work

Reference 2622

Resolution
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Observation a0892b8f-1b29-4181-9d46-987ee6bed267 · outbound

This paper cites 2016, The Astrophysical Journal Supplement Series, 222, 1,.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning 2016, The Astrophysical Journal Supplement Series, 222, 1,

Reference 2703

Resolution
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Observation 4a5ffad6-c55e-4faf-8cd6-9abc509e7d64 · outbound

This paper cites M., Kewley, L.

ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning M., Kewley, L

Reference 3309

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Pith citing papers

Observation cd80ac60-44e6-4357-86de-3ac3cc426c1e · inbound

Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts cites this paper.

Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning

Reference 146

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verified exact
arxiv_id, observed 2026-05-11T05:06:05.584197Z

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Observation b7981fd9-95da-468d-8a93-a0906c6da808 · inbound

GalSBI: Forward Modelling Galaxy Clustering and Population cites this paper.

GalSBI: Forward Modelling Galaxy Clustering and Population ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning

Reference 127

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arxiv_id, observed 2026-06-26T17:39:40.938850Z

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.

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