Pith. sign in

REVIEW 3 major objections 1 cited by

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

T0 review · 3 major / 0 minor · reviewed 2026-07-14 · grok-4.5

Pith's one-line read Extreme color-magnitude swings flag changing-look AGNs with high efficiency, pointing to multi-year accretion boosts.

desk verdict 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. read the letter →

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

classification astro-ph.GA
keywords changing-lookAGNscolor-magnitudevariabilitybluer-when-brighteraccretionenhancementType-2mid-infraredphotometricselection
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

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.

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.

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

Extended reading notes

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.

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.

Share X Bluesky LinkedIn Reddit HN

Signed reviews

No signed human review yet.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, 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 · score 1.0 of 10

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

  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.

Assumptions & free parameters 3 free parameters · 3 assumptions · 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.
assumptions (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)
    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.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Extreme color-magnitude variability: connection to changing-look AGNs." pith.science (2026). https://pith.science/paper/4VHZ7UGY

@misc{pith2026260525689,
  author       = {Pith},
  title        = {Pith review of: Extreme color-magnitude variability: connection to changing-look AGNs},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/4VHZ7UGY}},
  note         = {Machine review of arXiv:2605.25689}
}
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 the authors.

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 spectrum (o… view at source ↗
Figure 2
Figure 2. Same as Fig [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
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/full_fig_p0… view at source ↗
Figures from the paper (2 more)
Figure 4
Figure 4. Figure 4: Distributions of variability amplitudes ( [PITH_FULL_IMAGE:figures/full_fig_p005_4.png]
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 backgroun…

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. 22 Newly Identified Repeating Changing-look AGNs and Evidence for Extreme Broad-line Region Breathing

    astro-ph.GA 2026-07 conditional novelty 6.0 of 10

    25 repeating changing-look AGNs (22 new) show broad-line transitions tracking multi-year optical excursions, with Hβ disappearing at higher accretion rates than Hα.

Reference graph

Works this paper leans on

82 extracted references · 6 linked inside Pith · cited by 1 Pith paper

  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

Show all 82 references
  1. [9]

    C., Kulkarni , S

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

  2. [10]

    C., Denney , K

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

  3. [11]

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

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

  4. [12]

    2010, , 724, 855

    Cao , X. 2010, , 724, 855

  5. [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

  6. [14]

    D., Rudy , R

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

  7. [15]

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

  8. [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

  9. [17]

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

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

  10. [18]

    2016, arXiv e-prints, arXiv:1611.00036

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

  11. [19]

    & Agol , E

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

  12. [20]

    & Begelman , M

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

  13. [21]

    2025, , 986, 160

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

  14. [22]

    J., Djorgovski , S

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

  15. [23]

    2012, , 747, L33

    Elitzur , M. 2012, , 747, L33

  16. [24]

    & Halpern , J

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

  17. [25]

    J., et al

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

  18. [26]

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

  19. [27]

    B., et al

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

  20. [28]

    J., Duffy , L., et al

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

  21. [29]

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

  22. [30]

    J., Ross , N

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

  23. [31]

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

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

  24. [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

  25. [33]

    A., et al

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

  26. [34]

    L., et al

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

  27. [35]

    J., et al

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

  28. [36]

    2025, arXiv e-prints, arXiv:2511.09626

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

  29. [37]

    M., Cales , S., Moran , E

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

  30. [38]

    M., Yaqoob , T., Ptak , A

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

  31. [39]

    1987, , 99, 309

    Lawrence , A. 1987, , 99, 309

  32. [40]

    2018, Nature Astronomy, 2, 102

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

  33. [41]

    2019, arXiv e-prints, arXiv:1912.03972

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

  34. [42]

    L., Bernal , S., et al

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

  35. [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

  36. [44]

    L., Green , P

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

  37. [45]

    L., Ross , N

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

  38. [46]

    2011, , 731, 53

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

  39. [47]

    & Done , C

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

  40. [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

  41. [49]

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

  42. [50]

    & \'S niegowska , M

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

  43. [51]

    2020, , 641, A6

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

  44. [52]

    2022, , 925, 50

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

  45. [53]

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

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

  46. [54]

    P., Ford , K

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

  47. [55]

    P., Graham , M

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

  48. [56]

    J., Anderson , S

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

  49. [57]

    J., Anderson , S

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

  50. [58]

    2018, , 854, 160

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

  51. [59]

    C., Cales , S., Ruan , J

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

  52. [60]

    D., Norris , J

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

  53. [61]

    J., Prieto , J

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

  54. [62]

    2020, , 889, 46

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

  55. [63]

    2020, , 641, A167

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

  56. [64]

    A., & Wilson , A

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

  57. [65]

    2008, , 52, 227

    Tadhunter , C. 2008, , 52, 227

  58. [66]

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

  59. [67]

    L., Denneau , L., Heinze , A

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

  60. [68]

    L., et al

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

  61. [69]

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

  62. [70]

    & Peterson , B

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

  63. [71]

    K., Brink , T

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

  64. [72]

    & Bon , E

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

  65. [73]

    2024, , 966, 128

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

  66. [74]

    1992, , 257, 677

    Winkler , H. 1992, , 257, 677

  67. [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

  68. [76]

    L., Eisenhardt , P

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

  69. [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

  70. [78]

    J., MacLeod , C

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

  71. [79]

    2018, , 862, 109

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

  72. [80]

    2024, , 966, 85

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

  73. [81]

    2024, , 530, 3538

    Zhu , L.-T., Li , J., Wang , Z., & Zhang , J.-J. 2024, , 530, 3538

  74. [82]

    U., et al

    Zhu , L.-T., Wang , Z., Devanand , P. U., et al. 2025, , 536, 2715

Pith tools

Reviewed July 14, 2026 · model on record in the stance chip above.