Paper Citation Record · LEDGER

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.13233.

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pith.paper-citation-record.v1
2607.13233 v2

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Outbound references

Observation 079124fa-a67e-4a86-ac67-5ab6c216326c · outbound

This paper cites , keywords =.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies , keywords =

Reference 1

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Observation c86f4958-d57b-4705-a1da-be3ba48f7f8d · outbound

This paper cites Spectral Classification and Redshift Measurement for the SDSS-III Baryon Oscillation Spectroscopic Survey.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Spectral Classification and Redshift Measurement for the SDSS-III Baryon Oscillation Spectroscopic Survey

Reference 2

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Observation d1fb03c1-ee33-4c7a-b1e3-a4db05937eff · outbound

This paper cites , keywords =.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies , keywords =

Reference 3

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Observation dbd42bec-fd2f-4124-94eb-047ae10dd779 · outbound

This paper cites , keywords =.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies , keywords =

Reference 4

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Observation aa0993da-61bd-4eb5-aedb-7f2b7abfd71e · outbound

This paper cites Obscured Active Galactic Nuclei.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Obscured Active Galactic Nuclei

Reference 5

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Observation 44172f39-4447-4493-9f9e-9b7db19a7ca1 · outbound

This paper cites The Cosmic BPT Diagram: Confronting Theory with Observations.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies The Cosmic BPT Diagram: Confronting Theory with Observations

Reference 6

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Observation 76331207-ba3a-476d-badc-0adac6091260 · outbound

This paper cites High-mass X-ray binaries.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies High-mass X-ray binaries

Reference 7

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Observation e5f67f8a-f144-45af-bb81-081eb419eb2d · outbound

This paper cites , year = 1984, month = jan, volume =.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies , year = 1984, month = jan, volume =

Reference 8

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Observation 3b373e37-7469-4900-9d8c-c0fd2a6e3c0d · outbound

This paper cites Learning from Noisy Labels with Deep Neural Networks: A Survey.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Learning from Noisy Labels with Deep Neural Networks: A Survey

Reference 9

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Observation aa2bac1e-be72-4cb5-ae06-238ed1223e7d · outbound

This paper cites Theoretical Modeling of Starburst Galaxies.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Theoretical Modeling of Starburst Galaxies

Reference 10

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Observation a57ed3fc-eccf-415d-a7cd-ddef0badf67b · outbound

This paper cites an unresolved cited work.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Unresolved cited work

Reference 11

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Observation 4a1e76c2-a972-48a7-a3f1-586e924c8a44 · outbound

This paper cites Scikit-learn: Machine Learning in Python.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Scikit-learn: Machine Learning in Python

Reference 12

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Observation aee3e6aa-2702-4425-927e-d7c2f27c46e4 · outbound

This paper cites Machine Learning , keywords =.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Machine Learning , keywords =

Reference 13

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Observation 5deed67f-ad60-49d1-9f4d-57827cafd93c · outbound

This paper cites , keywords =.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies , keywords =

Reference 14

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Observation ccc9b69c-bd07-4019-86ef-32889a598ef8 · outbound

This paper cites Crossing the Line: Active Galactic Nuclei in the Star-forming region of the BPT Diagram.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Crossing the Line: Active Galactic Nuclei in the Star-forming region of the BPT Diagram

Reference 15

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Observation 11cfea56-8825-40fd-a546-d756a05ec162 · outbound

This paper cites The Evolution of Normal Galaxy X-ray Emission Through Cosmic History: Constraints from the 6 Ms Chandra Deep Field-South.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies The Evolution of Normal Galaxy X-ray Emission Through Cosmic History: Constraints from the 6 Ms Chandra Deep Field-South

Reference 16

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Observation 329af18d-0a6e-4cb4-9313-664194bb9e65 · outbound

This paper cites Enhanced X-ray emission from Lyman Break Analogues and a Possible $L_{\rm X}$--SFR--Metallicity Plane.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Enhanced X-ray emission from Lyman Break Analogues and a Possible $L_{\rm X}$--SFR--Metallicity Plane

Reference 17

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Observation 31a17462-84db-4c84-bcd7-4636dc271ea3 · outbound

This paper cites Elusive AGN in the XMM-Newton bright serendipitous survey.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Elusive AGN in the XMM-Newton bright serendipitous survey

Reference 18

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Observation d25947d6-6c9e-4732-a4de-3482f850d455 · outbound

This paper cites Why X-ray--Selected AGN Appear Optically Dull.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Why X-ray--Selected AGN Appear Optically Dull

Reference 19

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Observation f6a0dd7a-6071-40fb-a301-33101a377352 · outbound

This paper cites Accretion Rate and the Physical Nature of Unobscured Active Galaxies.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Accretion Rate and the Physical Nature of Unobscured Active Galaxies

Reference 20

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Observation 06afd35f-b986-40f3-9445-f06f8d1e6176 · outbound

This paper cites A new sample of X-ray selected narrow emission-line galaxies. I. The nature of optically elusive AGN.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies A new sample of X-ray selected narrow emission-line galaxies. I. The nature of optically elusive AGN

Reference 21

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Observation 210898c0-3470-433e-b6a9-a23856d22861 · outbound

This paper cites A new sample of X-ray selected narrow emission-line galaxies. II. Looking for True Seyfert 2.

Reference 22

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Observation 7084f68a-93c1-4f73-acdb-a31702f992e0 · outbound

This paper cites On the X-ray, optical emission line and black hole mass properties of local Seyfert galaxies.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies On the X-ray, optical emission line and black hole mass properties of local Seyfert galaxies

Reference 23

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Observation 4a7ccd39-8f6c-4577-9683-d094cd5fa6f2 · outbound

This paper cites , keywords =.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies , keywords =

Reference 24

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Observation 56984d06-1d86-437c-90ae-c992487019dc · outbound

This paper cites A New Physical Picture for AGNs Lacking Optical Emission Lines.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies A New Physical Picture for AGNs Lacking Optical Emission Lines

Reference 25

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Observation 3500b707-5034-44c6-a8c4-8a8f86dc2b91 · outbound

This paper cites The OPTX Project IV: How Reliable is [OIII] as a Measure of AGN Activity?.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies The OPTX Project IV: How Reliable is [OIII] as a Measure of AGN Activity?

Reference 26

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Observation 87737901-e103-410c-a660-231b03223859 · outbound

This paper cites Understanding Galaxy Evolution through Emission Lines.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Understanding Galaxy Evolution through Emission Lines

Reference 27

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Observation d09bdbdd-315a-4113-9549-71c185baed93 · outbound

This paper cites Physical Drivers of Emission Line Diversity of SDSS Seyfert 2s and LINERs After Removal of Contributions by Star Formation.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies Physical Drivers of Emission Line Diversity of SDSS Seyfert 2s and LINERs After Removal of Contributions by Star Formation

Reference 28

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Observation 0d5bcd46-4a41-4609-8de5-1fad72e842a5 · outbound

This paper cites From Active Stars to Black Holes: A Tool for the SRG/eROSITA X-ray Survey and New Discoveries as Proof of Concept.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies From Active Stars to Black Holes: A Tool for the SRG/eROSITA X-ray Survey and New Discoveries as Proof of Concept

Reference 29

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Observation dd2755dd-207f-4939-934e-ea96925a4996 · outbound

This paper cites X-ray Detected AGN in SDSS Dwarf Galaxies.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies X-ray Detected AGN in SDSS Dwarf Galaxies

Reference 30

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Observation 9dc8c6fd-5ccb-450a-8876-bac083c02474 · outbound

This paper cites The Incidence of X-ray selected AGN in Nearby Galaxies.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies The Incidence of X-ray selected AGN in Nearby Galaxies

Reference 31

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Observation 7235434e-397a-4f55-85f3-abab8e066c2f · outbound

This paper cites The WHaD diagram: Classifying the ionizing source with one single emission line.

When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies The WHaD diagram: Classifying the ionizing source with one single emission line

Reference 32

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