Pith. sign in

REVIEW 3 major objections 82 references

Extreme color-magnitude swings flag changing-look AGNs with high efficiency, pointing to multi-year accretion boosts.

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

T0 review · grok-4.5

2026-07-14 18:42 UTC pith:4VHZ7UGY

load-bearing objection Abstract-only CL-AGN selection paper with a 7/12 confirmation rate; the cached full text is the wrong paper, so purity and flare causality cannot be checked. the 3 major comments →

arxiv 2605.25689 v2 pith:4VHZ7UGY submitted 2026-05-25 astro-ph.GA

Extreme color-magnitude variability: connection to changing-look AGNs

classification astro-ph.GA
keywords changing-look AGNscolor-magnitude variabilitybluer-when-brighteraccretion enhancementType-2 AGNsmid-infrared variabilityphotometric selection
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

Changing-look active galactic nuclei (CL-AGNs) switch spectral type and challenge the simple unified model of how supermassive black holes are fed and obscured. The paper argues that photometric color-magnitude (CM) variability—specifically a steep bluer-when-brighter slope together with large optical and mid-infrared amplitudes—offers an efficient way to find them without waiting for repeated spectroscopy. From Sloan Digital Sky Survey Type-2 AGNs the authors selected twelve candidates that showed optical magnitude changes greater than 0.9 and confirmed seven as turn-on CL-AGNs with new spectra. These objects stand out from ordinary AGNs by larger variability and steeper CM slopes, and for four of them a flare-like brightening occurred only a few years before the spectral transition. The authors conclude that extreme CM variability marks AGNs in a pivotal, accretion-enhanced state on timescales of several years, and that the photometric criterion is highly efficient for catching such transitions.

Core claim

Extreme color-magnitude variability (strong bluer-when-brighter slope k plus large optical and mid-infrared amplitudes, with optical magnitude changes greater than 0.9) is a highly efficient photometric criterion for identifying changing-look AGNs: seven of twelve Type-2 SDSS candidates selected this way were spectroscopically confirmed as turn-on CL-AGNs, and the class appears to mark AGNs at a pivotal, accretion-enhanced state.

What carries the argument

The color-magnitude variability method: the slope k of CM variations is used to isolate strong bluer-when-brighter behavior, combined with optical and mid-infrared variation amplitudes, to pre-select CL candidates for spectroscopic follow-up.

Load-bearing premise

That the chosen CM slope and amplitude cuts cleanly isolate true CL transitions rather than ordinary AGN variability or selection artifacts, and that flares a few years earlier are causally linked to the turn-on rather than chance coincidence.

What would settle it

Spectroscopic monitoring of a larger, uniformly selected sample of extreme-CM AGNs that fails to recover a high confirmation rate of CL transitions, or that shows no statistical excess of flares within a few years of the spectral change relative to control AGNs of similar luminosity and variability.

Watch this falsifier — get emailed when new claim-graph text bears on it.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

3 major / 0 minor

Summary. The manuscript (as represented by its abstract and claimed scope) proposes that extreme colour–magnitude (CM) variability—specifically a steep bluer-when-brighter slope k together with large optical and mid-infrared amplitudes and optical magnitude changes >0.9—is a highly efficient photometric criterion for selecting turn-on changing-look AGNs (CL-AGNs). From Type-2 SDSS AGNs the authors select 12 candidates, obtain new spectra with the 3.6-m DOT and 2-m HCT, and spectroscopically confirm 7 turn-on CL-AGNs. They further report that the confirmed objects show larger optical/MIR variations and k values than both the general AGN population and a spectroscopically identified CL-AGN comparison sample, that the extreme CM episodes occurred recently, and that for four sources flare-like brightenings lie within 3–7 years of the spectroscopic turn-on, which they interpret as short-timescale accretion enhancement and BLR re-illumination. They conclude that such objects may occupy a “pivotal” accretion-enhanced state on multi-year timescales.

Significance. If the photometric selection purity and the temporal associations can be substantiated, the work would supply a practical, scalable route to CL-AGN discovery that complements expensive spectroscopic monitoring, and would add empirical support for accretion-rate changes (rather than pure obscuration) as a driver of type transitions. The 7/12 confirmation rate is potentially interesting. However, the materials supplied for review do not contain the actual CL-AGN manuscript: the full-text body is an unrelated multi-behavior recommendation paper (GCIB). Consequently the claimed efficiency, control-sample comparisons, light-curve statistics, and flare–turn-on associations cannot be audited, and the scientific significance of the result cannot be established from the present submission package.

major comments (3)
  1. The full manuscript text provided under paper_id 2605.25689 is not the CL-AGN paper described by the title and abstract; it is an unrelated work on graph contrastive information bottleneck for multi-behavior recommendation (arXiv:2605.25690). Without the correct Methods, selection cuts, light curves, spectra, control samples, and statistical tests, the central claims (7/12 efficiency, superiority of extreme CM variability, and the 3–7 yr flare–turn-on association) cannot be evaluated. This is a load-bearing failure of the review package.
  2. Even restricting attention to the abstract, the free parameters that define the selection (threshold on CM slope k, optical and MIR amplitude cuts, optical Δm > 0.9, and the 3–7 yr temporal window) are not quantified, nor are false-positive rates or comparisons against ordinary AGN variability and host contamination. The assertion that extreme CM variability is a “highly efficient criterion” therefore rests on an uninspectable selection function and cannot be distinguished from selection artifacts.
  3. The causal interpretation that flare-like brightenings within 3–7 years “trace short-timescale accretion enhancement, central brightening, and BLR re-illumination” requires a statistical assessment of chance coincidence in a variable population and a clear definition of what constitutes a “flare-like” episode. Neither is available in the supplied materials; the “pivotal-state” framing is therefore currently unsupported.

Circularity Check

1 steps flagged

Empirical photometric selection plus independent spectroscopy; only a mild selection-effect tautology in the property comparison, not a circular derivation.

specific steps
  1. other [Abstract, Results paragraph]
    "Comparing them with both the general AGN populations and the spectroscopically identified CL-AGN sample, the CL-AGNs showed larger optical and MIR variations and k values."

    Candidates were already selected for strong CM slope k and large optical/MIR amplitudes. Stating that the confirmed objects show larger k and amplitudes than the general AGN population is partly forced by those selection cuts rather than an independent property measurement. (Comparison to other CL-AGNs is less circular if the cuts are more extreme; the 7/12 spectroscopic confirmation itself remains non-circular.)

full rationale

The paper’s load-bearing claim is observational, not a first-principles derivation: Type-2 SDSS AGNs are photometrically pre-selected by CM slope k and optical/MIR amplitudes, then 7 of 12 candidates are spectroscopically confirmed as turn-on CL-AGNs with DOT/HCT. Spectroscopy is an independent measurement, so the 7/12 efficiency is not forced by construction. The only mild circularity risk is that objects selected for large k and large amplitudes are then reported to have larger k and amplitudes than the general AGN population—an expected selection effect rather than an independent discovery. Comparison to other spectroscopically identified CL-AGNs and the flare–turn-on timing associations (3–7 yr) are not definitionally circular on the abstract text. No uniqueness theorems, self-citation load-bearing premises, or equation-level self-definitions appear. Full-text verification of control samples and false-positive rates is unavailable in the supplied cache (which contains an unrelated ML paper), but nothing in the abstract reduces the central efficiency claim to its inputs by construction. Score 1 reflects that single minor selection tautology only.

Axiom & Free-Parameter Ledger

3 free parameters · 3 axioms · 1 invented entities

Abstract-only review of an observational AGN paper. Load-bearing premises are standard domain assumptions about AGN unification, Type-1/Type-2 spectral classes, and photometric variability as a proxy for continuum/accretion changes, plus paper-specific selection cuts (k, amplitudes, Δm > 0.9) whose exact values and parent-sample filters are not fully specified here. No free physical constants are fitted in the abstract; invented entities are interpretive labels rather than new particles or forces.

free parameters (3)
  • CM slope threshold k and optical/MIR amplitude cuts
    Used to define 'extreme' CM variability and select the 12 candidates; numerical thresholds are not given in the abstract but the central efficiency claim depends on them.
  • Optical magnitude-change cut > 0.9
    Explicit abstract criterion for 'extreme' CM variability of the confirmed sources; acts as a selection/definition parameter for the highlighted sample.
  • 3–7 year temporal window for flare–turn-on association
    Chosen association window for four sources; the causal accretion-enhancement narrative depends on this timescale choice.
axioms (3)
  • domain assumption CL transitions reflect real changes in accretion or illumination of the broad-line region rather than pure line-of-sight obscuration in all confirmed cases.
    Underpins the interpretation that photometric CM extremes trace a pivotal accretion state; standard but contested in the CL-AGN literature.
  • domain assumption SDSS Type-2 catalog classifications and the new DOT/HCT spectra correctly identify absence then presence of broad lines (turn-on).
    Confirmation of seven CL-AGNs rests on spectral type reliability and comparison epochs.
  • ad hoc to paper Strong bluer-when-brighter CM slope plus large optical and MIR amplitudes preferentially mark CL candidates over ordinary AGN variability.
    Core selection hypothesis of the CM-variability method as used here; efficiency claim (7/12) is the empirical test.
invented entities (1)
  • Pivotal-state CL-AGN (accretion-enhanced multi-year transition phase) no independent evidence
    purpose: Interpretive class for the confirmed objects linking extreme CM variability and flares to short-timescale accretion boosts and BLR re-illumination.
    Not a new physical particle or force; a proposed evolutionary/state label whose cause 'remains to be investigated' per the abstract.

pith-pipeline@v1.1.0-grok45 · 13647 in / 2931 out tokens · 37813 ms · 2026-07-14T18:42:43.691391+00:00 · methodology

0 comments
read the original abstract

Context. Changing-look active galactic nuclei (CL-AGNs) challenge the unified model of AGNs and offer key insights into the physics of the accretion processes of super-massive black holes. While systematic spectroscopic comparisons have successfully identified large samples of CL-AGNs, photometric selection based on variability features provides an efficient alternative. Methods. We use the colour--magnitude (CM) variability method to continue our identification of the CL transition in AGNs, which utilizes the slope ($k$) of the CM variations to identify strong bluer-when-brighter behavior, while the variation amplitudes in optical and mid-infrared bands are also considered. The candidates thus selected from the Type-2 AGNs given in the Sloan Digital Sky Survey catalog are spectroscopically observed using the 3.6-m DOT and the 2-m HCT. Results. We confirm seven turn-on CL-AGNs among 12 candidates. Comparing them with both the general AGN populations and the spectroscopically identified CL-AGN sample, the CL-AGNs showed larger optical and MIR variations and $k$ values. The extreme CM variabilities of these sources (with optical magnitude changes $>$ 0.9) occurred recently. For four sources, flare-like brightening episodes were temporally associated with the turn-on transitions within 3--7 years, suggesting that these flares may trace short-timescale accretion enhancement, central brightening, and BLR re-illumination. Conclusions. The extreme CM variability serves as a highly efficient criterion for finding CL-AGNs. The properties of the CL-AGNs thus found suggest that they may represent AGNs at a pivotal state, which likely occur CL transitions due to enhanced accretion activity, while the cause of the accretion activity, determined to have a time scale of several years, remains to be investigated.

Figures

Figures reproduced from arXiv: 2605.25689 by (2) ARIES, Alok C. Gupta, China, India), Jiawen Li (1) ((1) Yunnan University, Litao Zhu, Man Lang, P. U. Devanand (2), Qiangmeng Huang, Ruoheng Yang, Zhongxiang Wang (1).

Figure 1
Figure 1. Figure 1: Light curves and spectra for J160626+044802. The left panel displays the optical and MIR light curves, where a flare determined from the zg-band data is marked red with its time duration marked by the grey region. The right top panel shows the spectra obtained from SDSS, DESI, and HCT (whose epochs are marked by the vertical dashed lines in the left panel), and the right bottom panel shows the difference s… view at source ↗
Figure 2
Figure 2. Figure 2: Same as Fig [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Example of spectral fitting using PyQSOFit for the DOT spectrum of J115953+051330. The spectrum was corrected for redshift and Galactic extinction, and the host galaxy contribu￾tion was subtracted to model the pure quasar emission compo￾nents and to derive the corresponding parameters. The parame￾ters MBH and λEdd for this AGN calculated from the fitting pa￾rameters are given in [PITH_FULL_IMAGE:figures/f… view at source ↗
Figure 4
Figure 4. Figure 4: Distributions of variability amplitudes ( [PITH_FULL_IMAGE:figures/full_fig_p005_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Distribution of black hole masses (MBH) versus Edding￾ton ratios (λEdd) for the CL-AGNs identified via the CM variabil￾ity method. The data points comprise six confirmed sources from this work and the four sources previously reported in Zhu et al. (2025). The background data points are those CL-AGNs re￾ported by Guo et al. (2025). 4. Discussion Following our CM variability method established in Zhu et al. … view at source ↗

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

82 extracted references · 6 linked inside Pith

  1. [1]

    , " * write output.state after.block = add.period write newline

    ENTRY address archiveprefix author booktitle chapter edition editor howpublished institution eprint journal key month note number organization pages publisher school series title type volume year label extra.label sort.label short.list INTEGERS output.state before.all mid.sentence after.sentence after.block FUNCTION init.state.consts #0 'before.all := #1 ...

  2. [2]

    write newline

    " write newline "" before.all 'output.state := FUNCTION n.dashify 't := "" t empty not t #1 #1 substring "-" = t #1 #2 substring "--" = not "--" * t #2 global.max substring 't := t #1 #1 substring "-" = "-" * t #2 global.max substring 't := while if t #1 #1 substring * t #2 global.max substring 't := if while FUNCTION word.in bbl.in " " * FUNCTION format....

  3. [3]

    N., Adelman-McCarthy , J

    Abazajian , K. N., Adelman-McCarthy , J. K., Ag \"u eros , M. A., et al. 2009, , 182, 543

  4. [4]

    A., Almeida, A., et al

    Ahumada, R., Prieto, C. A., Almeida, A., et al. 2020, The Astrophysical Journal Supplement Series, 249, 3

  5. [5]

    2020, , 890, L29

    Ai , Y., Dou , L., Yang , C., et al. 2020, , 890, L29

  6. [6]

    1993, , 31, 473

    Antonucci , R. 1993, , 31, 473

  7. [7]

    Aretxaga , I., Joguet , B., Kunth , D., Melnick , J., & Terlevich , R. J. 1999, , 519, L123

  8. [8]

    H., Lott , B., & The Fermi-LAT collaboration

    Ballet , J., Bruel , P., Burnett , T. H., Lott , B., & The Fermi-LAT collaboration . 2023, arXiv e-prints, arXiv:2307.12546

  9. [9]

    C., Kulkarni , S

    Bellm , E. C., Kulkarni , S. R., Graham , M. J., et al. 2019, , 131, 018002

  10. [10]

    C., Denney , K

    Bentz , M. C., Denney , K. D., Grier , C. J., et al. 2013, , 767, 149

  11. [11]

    K., Nicholl , M., Berger , E., et al

    Blanchard , P. K., Nicholl , M., Berger , E., et al. 2017, , 843, 106

  12. [12]

    2010, , 724, 855

    Cao , X. 2010, , 724, 855

  13. [13]

    2025, arXiv e-prints, arXiv:2511.15359

    Chen , Z.-Q., Jin , J.-J., Guo , W.-J., et al. 2025, arXiv e-prints, arXiv:2511.15359

  14. [14]

    D., Rudy , R

    Cohen , R. D., Rudy , R. J., Puetter , R. C., Ake , T. B., & Foltz , C. B. 1986, , 311, 135

  15. [15]

    Cowsik , R., Srinivasan , R., & Prabhu , T. P. 2002, Bulletin of the Astronomical Society of India, 30, 105

  16. [16]

    2012, Research in Astronomy and Astrophysics, 12, 1197

    Cui , X.-Q., Zhao , Y.-H., Chu , Y.-Q., et al. 2012, Research in Astronomy and Astrophysics, 12, 1197

  17. [17]

    D., De Rosa , G., Croxall , K., et al

    Denney , K. D., De Rosa , G., Croxall , K., et al. 2014, , 796, 134

  18. [18]

    2016, arXiv e-prints, arXiv:1611.00036

    DESI Collaboration , Aghamousa , A., Aguilar , J., et al. 2016, arXiv e-prints, arXiv:1611.00036

  19. [19]

    & Agol , E

    Dexter , J. & Agol , E. 2011, , 727, L24

  20. [20]

    & Begelman , M

    Dexter , J. & Begelman , M. C. 2019, , 483, L17

  21. [21]

    2025, , 986, 160

    Dong , Q., Zhang , Z.-X., Gu , W.-M., Sun , M., & Zheng , Y.-G. 2025, , 986, 160

  22. [22]

    J., Djorgovski , S

    Drake , A. J., Djorgovski , S. G., Mahabal , A., et al. 2009, , 696, 870

  23. [23]

    2012, , 747, L33

    Elitzur , M. 2012, , 747, L33

  24. [24]

    & Halpern , J

    Eracleous , M. & Halpern , J. P. 2001, , 554, 240

  25. [25]

    J., et al

    Frederick , S., Gezari , S., Graham , M. J., et al. 2019, , 883, 31

  26. [26]

    Gaskell , C. M. & Harrington , P. Z. 2018, , 478, 1660

  27. [27]

    B., et al

    Gezari , S., Hung , T., Cenko , S. B., et al. 2017, , 835, 144

  28. [28]

    J., Duffy , L., et al

    Gilbert , O., Ruan , J. J., Duffy , L., et al. 2025, arXiv e-prints, arXiv:2508.01933

  29. [29]

    Goad , M. R. & Korista , K. T. 2014, , 444, 43

  30. [30]

    J., Ross , N

    Graham , M. J., Ross , N. P., Stern , D., et al. 2020, , 491, 4925

  31. [31]

    J., Pulgarin-Duque , L., Anderson , S

    Green , P. J., Pulgarin-Duque , L., Anderson , S. F., et al. 2022, , 933, 180

  32. [32]

    2018, PyQSOFit: Python code to fit the spectrum of quasars , Astrophysics Source Code Library, record ascl:1809.008

    Guo , H., Shen , Y., & Wang , S. 2018, PyQSOFit: Python code to fit the spectrum of quasars , Astrophysics Source Code Library, record ascl:1809.008

  33. [33]

    A., et al

    Guo , W.-J., Zou , H., Fawcett , V. A., et al. 2024, , 270, 26

  34. [34]

    L., et al

    Guo , W.-J., Zou , H., Greenwell , C. L., et al. 2025, , 278, 28

  35. [35]

    J., et al

    Jana , A., Ricci , C., Temple , M. J., et al. 2025, , 693, A35

  36. [36]

    2025, arXiv e-prints, arXiv:2511.09626

    Kaaz , N., Liska , M., Ward , C., & Davelaar , J. 2025, arXiv e-prints, arXiv:2511.09626

  37. [37]

    M., Cales , S., Moran , E

    LaMassa , S. M., Cales , S., Moran , E. C., et al. 2015, , 800, 144

  38. [38]

    M., Yaqoob , T., Ptak , A

    LaMassa , S. M., Yaqoob , T., Ptak , A. F., et al. 2014, , 787, 61

  39. [39]

    1987, , 99, 309

    Lawrence , A. 1987, , 99, 309

  40. [40]

    2018, Nature Astronomy, 2, 102

    Lawrence , A. 2018, Nature Astronomy, 2, 102

  41. [41]

    2019, arXiv e-prints, arXiv:1912.03972

    liu , H., Wu , Q., Lyu , B., & Yan , Z. 2019, arXiv e-prints, arXiv:1912.03972

  42. [42]

    L., Bernal , S., et al

    L \'o pez-Navas , E., Mart \' nez-Aldama , M. L., Bernal , S., et al. 2022, , 513, L57

  43. [43]

    2023, , 524, 188

    L \'o pez-Navas , E., S \'a nchez-S \'a ez , P., Ar \'e valo , P., et al. 2023, , 524, 188

  44. [44]

    L., Green , P

    MacLeod , C. L., Green , P. J., Anderson , S. F., et al. 2019, , 874, 8

  45. [45]

    L., Ross , N

    MacLeod , C. L., Ross , N. P., Lawrence , A., et al. 2016, , 457, 389

  46. [46]

    2011, , 731, 53

    Mainzer , A., Bauer , J., Grav , T., et al. 2011, , 731, 53

  47. [47]

    & Done , C

    Noda , H. & Done , C. 2018, , 480, 3898

  48. [48]

    S., Krishna Reddy , B., Pant , J., & Mahto , M

    Omar , A., Kumar , T. S., Krishna Reddy , B., Pant , J., & Mahto , M. 2019, arXiv e-prints, arXiv:1902.05857

  49. [49]

    Osterbrock , D. E. 1981, , 249, 462

  50. [50]

    & \'S niegowska , M

    Panda , S. & \'S niegowska , M. 2024, , 272, 13

  51. [51]

    2020, , 641, A6

    Planck Collaboration , Aghanim , N., Akrami , Y., et al. 2020, , 641, A6

  52. [52]

    2022, , 925, 50

    Ren , W., Wang , J., Cai , Z., & Guo , H. 2022, , 925, 50

  53. [53]

    T., Lacy , M., Storrie-Lombardi , L

    Richards , G. T., Lacy , M., Storrie-Lombardi , L. J., et al. 2006, , 166, 470

  54. [54]

    P., Ford , K

    Ross , N. P., Ford , K. E. S., Graham , M., et al. 2018, , 480, 4468

  55. [55]

    P., Graham , M

    Ross , N. P., Graham , M. J., Calderone , G., et al. 2020, , 498, 2339

  56. [56]

    J., Anderson , S

    Ruan , J. J., Anderson , S. F., Cales , S. L., et al. 2016, , 826, 188

  57. [57]

    J., Anderson , S

    Ruan , J. J., Anderson , S. F., Eracleous , M., et al. 2019, , 883, 76

  58. [58]

    2018, , 854, 160

    Rumbaugh , N., Shen , Y., Morganson , E., et al. 2018, , 854, 160

  59. [59]

    C., Cales , S., Ruan , J

    Runnoe , J. C., Cales , S., Ruan , J. J., et al. 2016, , 455, 1691

  60. [60]

    D., Norris , J

    Scargle , J. D., Norris , J. P., Jackson , B., & Chiang , J. 2013, , 764, 167

  61. [61]

    J., Prieto , J

    Shappee , B. J., Prieto , J. L., Grupe , D., et al. 2014, , 788, 48

  62. [62]

    2020, , 889, 46

    Sheng , Z., Wang , T., Jiang , N., et al. 2020, , 889, 46

  63. [63]

    2020, , 641, A167

    Sniegowska , M., Czerny , B., Bon , E., & Bon , N. 2020, , 641, A167

  64. [64]

    A., & Wilson , A

    Storchi-Bergmann , T., Baldwin , J. A., & Wilson , A. S. 1993, , 410, L11

  65. [65]

    2008, , 52, 227

    Tadhunter , C. 2008, , 52, 227

  66. [66]

    Tohline , J. E. & Osterbrock , D. E. 1976, , 210, L117

  67. [67]

    L., Denneau , L., Heinze , A

    Tonry , J. L., Denneau , L., Heinze , A. N., et al. 2018, , 130, 064505

  68. [68]

    L., et al

    Trakhtenbrot , B., Arcavi , I., MacLeod , C. L., et al. 2019, , 883, 94

  69. [69]

    Urry , C. M. & Padovani , P. 1995, , 107, 803

  70. [70]

    & Peterson , B

    Vestergaard , M. & Peterson , B. M. 2006, , 641, 689

  71. [71]

    K., Brink , T

    Wang , J., Zheng , W. K., Brink , T. G., et al. 2023, , 956, 137

  72. [72]

    & Bon , E

    Wang , J.-M. & Bon , E. 2020, , 643, L9

  73. [73]

    2024, , 966, 128

    Wang , S., Woo , J.-H., Gallo , E., et al. 2024, , 966, 128

  74. [74]

    1992, , 257, 677

    Winkler , H. 1992, , 257, 677

  75. [75]

    2020, NEOWISE 2-Band Post-Cryo Single Exposure (L1b) Source Table

    WISE Team . 2020, NEOWISE 2-Band Post-Cryo Single Exposure (L1b) Source Table

  76. [76]

    L., Eisenhardt , P

    Wright , E. L., Eisenhardt , P. R. M., Mainzer , A. K., et al. 2010, , 140, 1868

  77. [77]

    2025, in American Astronomical Society Meeting Abstracts, Vol

    Yang , Q., Green , P., Wu , X.-B., et al. 2025, in American Astronomical Society Meeting Abstracts, Vol. 245, American Astronomical Society Meeting Abstracts \#245, 221.06

  78. [78]

    J., MacLeod , C

    Yang , Q., Green , P. J., MacLeod , C. L., et al. 2023, , 953, 61

  79. [79]

    2018, , 862, 109

    Yang , Q., Wu , X.-B., Fan , X., et al. 2018, , 862, 109

  80. [80]

    2024, , 966, 85

    Zeltyn , G., Trakhtenbrot , B., Eracleous , M., et al. 2024, , 966, 85

Showing first 80 references.