Paper Citation Record · LEDGER

Machine Learning and the future of Supernova Cosmology

As of 15 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:1908.02315.

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

pith.paper-citation-record.v1
1908.02315 v1

Coverage vector

measured 25 of 25 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-14T14:51:47.473289Z

measured 25 of 25 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

25 of 25 outbound references displayed

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Outbound references

Observation c45e8c90-9c58-46ae-aaaf-f4de65d498be · outbound

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

Machine Learning and the future of Supernova Cosmology Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant

Reference 1

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Observation d45ed03c-66e2-48f5-a95c-a1015d6fb35e · outbound

This paper cites Measurements of Omega and Lambda from 42 High-Redshift Supernovae.

Machine Learning and the future of Supernova Cosmology Measurements of Omega and Lambda from 42 High-Redshift Supernovae

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.319496Z

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Observation 5a44898f-8469-4bf5-9d41-ee3fe0e9abb6 · outbound

This paper cites Dark energy two decades after: Observables, probes, consistency tests.

Machine Learning and the future of Supernova Cosmology Dark energy two decades after: Observables, probes, consistency tests

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.326434Z

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Observation 09a00be5-ca81-442c-87d5-5a6534a5dd4e · outbound

This paper cites Observational and Physical Classiﬁcation of Super- novae, 1–43 (Springer International Publishing, Cham, 2017).

Machine Learning and the future of Supernova Cosmology Observational and Physical Classiﬁcation of Super- novae, 1–43 (Springer International Publishing, Cham, 2017)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.334328Z

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Observation d2d2a2a7-64fd-41cd-a8eb-258c816c1424 · outbound

This paper cites First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Survey Overview and Supernova Spectroscopy.

Machine Learning and the future of Supernova Cosmology First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Survey Overview and Supernova Spectroscopy

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.344927Z

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Observation 5571171e-a451-4b57-9e38-8027526b7a38 · outbound

This paper cites $\texttt{simsurvey}$: Estimating Transient Discovery Rates for the Zwicky Transient Facility.

Machine Learning and the future of Supernova Cosmology $\texttt{simsurvey}$: Estimating Transient Discovery Rates for the Zwicky Transient Facility

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:51:47.898432Z

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 e3badb8c-2f02-49c6-b7ae-fdb44cdc0b20 · outbound

This paper cites Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey.

Machine Learning and the future of Supernova Cosmology Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.358189Z

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Observation 49d143c6-97e2-4bc1-81ac-f9567f137f09 · outbound

This paper cites 4MOST Consortium Survey 10: The Time-Domain Extragalactic Survey (TiDES).

Machine Learning and the future of Supernova Cosmology 4MOST Consortium Survey 10: The Time-Domain Extragalactic Survey (TiDES)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.363858Z

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Observation 162e7bdf-fc78-43fa-8a6a-1a9b3703435e · outbound

This paper cites Measuring Dark Energy Properties with Photometrically Classified Pan-STARRS Supernovae. II. Cosmological Parameters.

Machine Learning and the future of Supernova Cosmology Measuring Dark Energy Properties with Photometrically Classified Pan-STARRS Supernovae. II. Cosmological Parameters

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.369553Z

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Observation 48c62d89-879a-415d-acc7-bf94724a4230 · outbound

This paper cites Results from the Supernova Photometric Classification Challenge.

Machine Learning and the future of Supernova Cosmology Results from the Supernova Photometric Classification Challenge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.375312Z

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Observation 62830aa4-8d32-4cdf-9f55-644bc7d2901b · outbound

This paper cites D., Peiris, H.

Machine Learning and the future of Supernova Cosmology D., Peiris, H

Reference 11

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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 04165c63-2913-4b51-ab1e-20a21e1d7625 · outbound

This paper cites Kernel PCA for type Ia supernovae photometric classification.

Machine Learning and the future of Supernova Cosmology Kernel PCA for type Ia supernovae photometric classification

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.386344Z

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Observation 90519ba6-51c9-4362-8034-55e9e9b08628 · outbound

This paper cites Photometric classification and redshift estimation of LSST Supernovae.

Machine Learning and the future of Supernova Cosmology Photometric classification and redshift estimation of LSST Supernovae

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:51:47.765541Z

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 83910c37-e57e-4a8f-b0c7-856c4ba5691d · outbound

This paper cites Semi-supervised Learning for Photometric Supernova Classification.

Machine Learning and the future of Supernova Cosmology Semi-supervised Learning for Photometric Supernova Classification

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.402042Z

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Observation 1b66d6a7-3f8e-4e94-a329-0125e14d7d6c · outbound

This paper cites A., Trotta, R.

Machine Learning and the future of Supernova Cosmology A., Trotta, R

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.407585Z

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Observation 1fa45f00-b6d1-4db6-a602-fe41a0c847c7 · outbound

This paper cites Avocado: Photometric Classification of Astronomical Transients with Gaussian Process Augmentation.

Machine Learning and the future of Supernova Cosmology Avocado: Photometric Classification of Astronomical Transients with Gaussian Process Augmentation

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:51:47.719369Z

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 4448e309-c128-4853-8f3b-6b86e9ed4c29 · outbound

This paper cites an unresolved cited work.

Machine Learning and the future of Supernova Cosmology Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.422058Z

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Observation 8998fa41-c49a-431c-b829-322590577469 · outbound

This paper cites A simple and robust method for automated photometric classification of supernovae using neural networks.

Machine Learning and the future of Supernova Cosmology A simple and robust method for automated photometric classification of supernovae using neural networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.427713Z

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Observation 5d2ac427-a829-4059-b0d1-e7458dc1eb70 · outbound

This paper cites Deep Recurrent Neural Networks for Supernovae Classification.

Machine Learning and the future of Supernova Cosmology Deep Recurrent Neural Networks for Supernovae Classification

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.434414Z

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Observation 99f3cc1a-cf6f-46f3-8932-271a77c33b20 · outbound

This paper cites PELICAN: deeP architecturE for the LIght Curve ANalysis.

Machine Learning and the future of Supernova Cosmology PELICAN: deeP architecturE for the LIght Curve ANalysis

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.440910Z

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Observation 8b3ea183-3fda-4cf3-a009-8336f7f5de18 · outbound

This paper cites SuperNNova: an open-source framework for Bayesian, Neural Network based supernova classification.

Machine Learning and the future of Supernova Cosmology SuperNNova: an open-source framework for Bayesian, Neural Network based supernova classification

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.449046Z

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Observation a07a2990-13f7-47dd-882c-4fedb486ae1b · outbound

This paper cites RAPID: Early Classification of Explosive Transients using Deep Learning.

Machine Learning and the future of Supernova Cosmology RAPID: Early Classification of Explosive Transients using Deep Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.455874Z

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Observation b0aea3e3-edc8-4641-8a6c-c6242d5f4ef8 · outbound

This paper cites Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning.

Machine Learning and the future of Supernova Cosmology Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:51:47.602496Z

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 42451077-fa5e-490f-8df1-1b33a74b7b7a · outbound

This paper cites Machine Learning-based Brokers for Real-time Classification of the LSST Alert Stream.

Machine Learning and the future of Supernova Cosmology Machine Learning-based Brokers for Real-time Classification of the LSST Alert Stream

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.467816Z

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Observation 7af62a84-62df-4888-9c9a-35d236d41564 · outbound

This paper cites First Cosmology Results using Type Ia Supernova from the Dark Energy Survey: Simulations to Correct Supernova Distance Biases.

Machine Learning and the future of Supernova Cosmology First Cosmology Results using Type Ia Supernova from the Dark Energy Survey: Simulations to Correct Supernova Distance Biases

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T14:51:47.473289Z

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Pith citing papers

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