Paper Citation Record · LEDGER

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning

As of 11 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.22835.

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

pith.paper-citation-record.v1
2607.22835 v1

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measured 47 of 47 reference resolution

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Outbound references

Observation f4072783-ca2a-48c9-ad49-5100c992b97c · outbound

This paper cites B., Casey, C.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning B., Casey, C

Reference 1

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Observation 03c1baa3-c7a8-467b-b2c8-d2f61cc5bd7d · outbound

This paper cites Beyond traditional emission-line diagnostics: using autoencoders to uncover active galactic nuclei in DESI spectra.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning Beyond traditional emission-line diagnostics: using autoencoders to uncover active galactic nuclei in DESI spectra

Reference 2

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This paper cites an unresolved cited work.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning Unresolved cited work

Reference 3

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This paper cites an unresolved cited work.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning Unresolved cited work

Reference 4

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Observation 2201e650-ef07-45e1-ad9a-99d929c369e5 · outbound

This paper cites B., Finkelstein, S.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning B., Finkelstein, S

Reference 5

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Observation 71774c41-0acf-4c96-918f-a4a893f833b2 · outbound

This paper cites B., Pirzkal, N., Finkelstein, S.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning B., Pirzkal, N., Finkelstein, S

Reference 6

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Observation 426f130d-e8ef-4f68-bf49-5b1c0c4d6ac3 · outbound

This paper cites G., Kocevski, D.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning G., Kocevski, D

Reference 7

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Observation 9a9c46f8-2277-4e0a-b43b-8509ff554a9a · outbound

This paper cites E., et al.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning E., et al

Reference 8

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Observation d43e2018-60f9-4086-83b6-6df13e428ab9 · outbound

This paper cites B., van Dokkum, P.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning B., van Dokkum, P

Reference 9

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Observation 63ddfa7e-0c43-401d-854b-94d1d0f7caf6 · outbound

This paper cites 2026, arXiv e-prints, arXiv:2601.22214.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning 2026, arXiv e-prints, arXiv:2601.22214

Reference 10

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Observation bb449874-bf71-40b9-8c35-3e499db4d490 · outbound

This paper cites A Population of Little Red Dot-like Quasars in SDSS.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning A Population of Little Red Dot-like Quasars in SDSS

Reference 11

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Observation 25ae0a50-5322-41ac-920f-072234a1250a · outbound

This paper cites S., Abraham, R.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning S., Abraham, R

Reference 12

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Observation b5fe759d-e233-4c5a-b36a-e207c74b290e · outbound

This paper cites J., Johnson, B.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning J., Johnson, B

Reference 13

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Observation c08cf4c8-fd13-449a-a263-8fda1380b728 · outbound

This paper cites J., Willott, C., Alberts, S., et al.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning J., Willott, C., Alberts, S., et al

Reference 14

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Observation 8a70e309-f780-4c88-977f-dac680ae5005 · outbound

This paper cites L., Bagley, M.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning L., Bagley, M

Reference 15

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Observation 3ab5fc71-8f44-4ad9-abf6-cc3534351d7b · outbound

This paper cites 2024, Astronomy and Computing, 48, 100851.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning 2024, Astronomy and Computing, 48, 100851

Reference 16

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Observation fbc99e1c-c910-4280-a473-2860ce8197d7 · outbound

This paper cites 2026, Nature Astronomy [arXiv:2512.02096].

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning 2026, Nature Astronomy [arXiv:2512.02096]

Reference 17

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Observation 8e3a8977-e886-4859-9d40-f7d3a92b6f6d · outbound

This paper cites E., Labbe, I., Goulding, A.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning E., Labbe, I., Goulding, A

Reference 18

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Observation 1f918f26-d0f5-4e9e-b8c2-46c60482a48f · outbound

This paper cites N., Helton, J.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning N., Helton, J

Reference 19

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Observation 8514b22d-6ba5-4eb9-ab35-6647424ed9cc · outbound

This paper cites N., Helton, J.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning N., Helton, J

Reference 20

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Observation a83279be-c1f6-4e81-8cd8-991dbb0fda94 · outbound

This paper cites R., Millman, K.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning R., Millman, K

Reference 21

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Observation 72cf867f-1cdf-4adf-8730-b8eee45c87b4 · outbound

This paper cites E., Watson, D., Brammer, G., et al.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning E., Watson, D., Brammer, G., et al

Reference 22

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Observation 29a65481-fe32-4dce-93e4-a36c414fed14 · outbound

This paper cites E., Sun, Y ., & Davey, N.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning E., Sun, Y ., & Davey, N

Reference 23

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Observation d15e71c8-dc86-4df7-a4f9-5dbee0cc3055 · outbound

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Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning Unresolved cited work

Reference 24

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Observation a5786572-12ba-4f6a-9d05-431139e1c039 · outbound

This paper cites D., Finkelstein, S.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning D., Finkelstein, S

Reference 25

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Observation a7037350-6120-4940-997f-167f6bc24ae3 · outbound

This paper cites I., Greene, J.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning I., Greene, J

Reference 26

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Observation 86d386ec-8895-482d-9d42-63e676d93e89 · outbound

This paper cites (LRDs)$^2$: The Low-ReDshift Little Red Dots Survey. II. DESI DR1 Sample.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning (LRDs)$^2$: The Low-ReDshift Little Red Dots Survey. II. DESI DR1 Sample

Reference 27

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Observation 0189226d-fd1d-4313-85bc-62ffca2189d4 · outbound

This paper cites 2025, A&A, 703, A36.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning 2025, A&A, 703, A36

Reference 28

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Observation e99313f0-7d21-4018-bd0b-a550850a75fd · outbound

This paper cites Little red dots as obscured little blue dots: relative abundances, luminosities, and black-hole masses.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning Little red dots as obscured little blue dots: relative abundances, luminosities, and black-hole masses

Reference 29

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Observation 5afc2259-8d94-4587-87ca-1eb3abcab5db · outbound

This paper cites P., Brammer, G., et al.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning P., Brammer, G., et al

Reference 30

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Observation dc6b7b7c-196a-47a6-91ab-2cf2fd88b9b0 · outbound

This paper cites 2026, arXiv e-prints, arXiv:2603.17667.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning 2026, arXiv e-prints, arXiv:2603.17667

Reference 31

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Observation 5e83c123-a18f-4c5b-a2f3-0fbc71647b72 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 32

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Observation cc4f7132-613c-4149-95d6-f0fc81d1e0e9 · outbound

This paper cites 2024, A&A, 691, A240.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning 2024, A&A, 691, A240

Reference 33

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Observation 32b3e8cb-cd95-4e13-8b82-c639fb711dc6 · outbound

This paper cites NEXUS: Abundance, Environments, and Spectral Diversity of Little Red Dots from the NIRSpec MSA Sample.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning NEXUS: Abundance, Environments, and Spectral Diversity of Little Red Dots from the NIRSpec MSA Sample

Reference 34

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This paper cites A new sample of Little Red Dots at $z<0.45$ in DESI DR1: Broad Balmer lines, low ionization spectrum and no variability.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning A new sample of Little Red Dots at $z<0.45$ in DESI DR1: Broad Balmer lines, low ionization spectrum and no variability

Reference 35

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Observation c6324e97-7877-4773-9369-c1f92ec22205 · outbound

This paper cites 2011, Journal of Machine Learning Research, 12, 2825 Pérez-González, P.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning 2011, Journal of Machine Learning Research, 12, 2825 Pérez-González, P

Reference 36

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Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning Unresolved cited work

Reference 37

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Observation c9dba221-6a06-4519-8708-1d10f9ba1a84 · outbound

This paper cites X., & Wolf, L.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning X., & Wolf, L

Reference 38

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This paper cites J., Robertson, B., Tacchella, S., et al.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning J., Robertson, B., Tacchella, S., et al

Reference 39

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This paper cites The Way We Tally Becomes the Tale: the Impact of Selection Strategies on the Inferred Evolution of Little Red Dots Across Cosmic Time.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning The Way We Tally Becomes the Tale: the Impact of Selection Strategies on the Inferred Evolution of Little Red Dots Across Cosmic Time

Reference 40

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This paper cites P., et al.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning P., et al

Reference 41

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Observation 0d565b82-d548-416e-8121-94d08c4ebfe5 · outbound

This paper cites 2025, arXiv e-prints, arXiv:2511.05439.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning 2025, arXiv e-prints, arXiv:2511.05439

Reference 42

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Observation c2dd818a-4be5-4536-84d2-a51c923ebebb · outbound

This paper cites Paschen Jumps in Little Red Dots: Evidence for Nebular Continua.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning Paschen Jumps in Little Red Dots: Evidence for Nebular Continua

Reference 43

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Observation 01400263-85e3-4c3f-98d2-050b486fdb2f · outbound

This paper cites 2022, ApJ, 935, 110.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning 2022, ApJ, 935, 110

Reference 44

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Observation 39f8f5da-2b99-4e39-8cf1-831488417fd9 · outbound

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Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning Unresolved cited work

Reference 45

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Observation 56f3843f-1616-4bab-ae63-92312069e949 · outbound

This paper cites E., et al.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning E., et al

Reference 46

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This paper cites C., & Inayoshi, K.

Unsupervised selection and characterisation of Little Red Dots in JWST surveys with manifold learning C., & Inayoshi, K

Reference 47

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