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REVIEW 3 major objections 44 references

The chemical DNA of the Magellanic Clouds VI. Origin and evolution of neutron-capture elements in the SMC

T0 review · 3 major / 0 minor · reviewed 2026-07-13 · grok-4.5

Pith's one-line read Neutron-capture patterns in the Small Magellanic Cloud are reproduced only with an enhanced delayed r-process at low metallicity and a top-lighter IMF than Kroupa’s 2001 standard.

desk verdict First joint chemical-evolution treatment of SMC neutron-capture elements, but the dual free-parameter claim (enhanced delayed r-process + top-lighter IMF) cannot be stress-tested because the cached full text is the wrong paper. read the letter →

arxiv 2603.17963 v1 pith:K53AI23S submitted 2026-03-18 astro-ph.GA

classification astro-ph.GA
keywords SmallMagellanicCloudchemicalevolutionneutron-captureelementsr-processs-processinitialmassfunctiongalacticarchaeologydwarfirregulargalaxies
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

The Small Magellanic Cloud is a nearby massive dwarf galaxy whose chemical history has been poorly modelled until now. This paper builds chemical-evolution models driven by star-formation histories recovered from colour-magnitude diagrams, tracking feedback from many nucleosynthetic sources. Elements up to the iron peak are well matched. The abundance patterns of neutron-capture species—europium from the r-process, zirconium from the weak s-process, and barium and lanthanum from the main s-process—are matched simultaneously only when two changes are made: an enhanced delayed r-process contribution at low metallicity, and an initial mass function that is top-lighter than the usual Kroupa (2001) form. Those two ingredients together explain both the high observed [Eu/Fe] plateau and the rising s-process-to-iron trends. The result supplies the first detailed picture of neutron-capture evolution in a massive dwarf irregular and a concrete test-bed for future Magellanic surveys.

What carries the argument

Chemical-evolution models that take observed colour-magnitude-diagram star-formation histories as input and track detailed yields from r-process, weak s-process and main s-process sources; the decisive levers are an enhanced delayed r-process at low metallicity plus a top-lighter IMF.

What would settle it

New high-precision SMC abundance measurements of Eu, Ba, La and Zr across a wide metallicity range that cannot be fit by any top-lighter IMF once the delayed r-process yield is held fixed at the value required by the present models, or independent dynamical or stellar-population constraints that rule out a top-lighter IMF in the SMC.

Watch

Extended reading notes

Core claim

The abundance patterns of neutron-capture elements in the SMC can be reproduced simultaneously only by assuming both an enhanced contribution from the delayed r-process at low metallicity and a top-lighter initial mass function relative to the reference Kroupa (2001) IMF; with those assumptions the models recover the observed high [Eu/Fe] plateau and the rising [s-process/Fe] ratios while still matching all lighter elements up to the iron peak.

Load-bearing premise

The star-formation histories from colour-magnitude diagrams, the adopted nucleosynthetic yields, and the postulated extra delayed r-process must all be accurate enough that only a top-lighter IMF can fit the data; any systematic bias in those inputs would change the required IMF slope.

Editorial extensions

If this is right

  • Massive dwarf irregulars can require both a modified r-process time-scale and a non-standard IMF to explain neutron-capture ratios.
  • Standard Kroupa-like IMFs are not universally adequate for chemical-evolution modelling of nearby dwarfs.
  • Future Magellanic Cloud surveys will have a ready quantitative baseline against which to test neutron-capture enrichment scenarios.
  • The same modelling framework can be used to forecast which additional n-capture species will most tightly constrain the IMF and r-process delay.
  • Alpha and iron-peak elements alone are insufficient to diagnose IMF shape in systems like the SMC; n-capture ratios supply the decisive leverage.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If the same top-lighter IMF and enhanced delayed r-process also fit the Large Magellanic Cloud, the two Clouds may share a common early enrichment channel rather than purely independent chemical histories.
  • A top-lighter IMF in the SMC would lower the expected rate of high-mass stellar remnants, with testable consequences for its present-day supernova and compact-object populations.
  • Tension between CMD-derived star-formation histories and the IMF slope required by n-capture data could become a new consistency check on both photometric and spectroscopic pipelines for nearby dwarfs.
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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 metadata) presents chemical-evolution models of the Small Magellanic Cloud that take star-formation histories from colour-magnitude diagram fitting as input and track enrichment from a broad set of nucleosynthetic sources. Beyond alpha and Fe-peak elements, the focus is on neutron-capture species of distinct origin: Eu (r-process), Zr (weak s-process), and Ba/La (main s-process). The abstract states that abundances up to the Fe-peak are reproduced well, while the n-capture patterns—specifically a high [Eu/Fe] plateau together with rising [s-process/Fe] trends—are simultaneously matched only when two ingredients are adopted: an enhanced delayed r-process contribution at low metallicity and a top-lighter IMF relative to Kroupa (2001). The work is positioned as the first detailed n-capture chemical-evolution study of a massive dwarf irregular and as a test-bed for forthcoming Magellanic Cloud surveys.

Significance. If the uniqueness claim holds under a documented exploration of parameter space, the paper would supply a concrete, observationally anchored constraint on both the delayed r-process channel and the high-mass IMF slope in a nearby massive dwarf system—ingredients that are otherwise poorly constrained. That would be a genuine contribution to galactic archaeology and a useful reference for chemical-evolution modelling of the Magellanic Clouds. The abstract-level framing (SFH from CMD fitting plus multi-source yields) is methodologically standard and appropriate; the scientific value therefore hinges on whether the ‘only by assuming’ result is demonstrated rather than obtained by co-tuning two free ingredients to the same abundance trends.

major comments (3)
  1. Abstract, Results: The central claim that n-capture patterns are reproduced ‘only by assuming’ an enhanced delayed r-process at low metallicity and a top-lighter IMF is load-bearing. From the abstract alone, these two ingredients are free parameters co-adjusted against the same [Eu/Fe] plateau and rising [s/Fe] trends. Without a documented grid over IMF slope, r-process delay/enhancement, alternative yield sets, and SFH systematics, uniqueness remains an assertion rather than a demonstrated result. A referee needs explicit degeneracy tests showing that other combinations fail.
  2. Methods (as stated in Abstract): The models rely on SFHs from CMD fitting and on a ‘large variety of nucleosynthetic sources.’ Systematic biases in either input can shift the required IMF slope or the needed r-process enhancement. The manuscript must quantify how SFH uncertainties and yield choices propagate into the claimed top-lighter IMF and enhanced delayed r-process; otherwise the weakest-assumption diagnosis (that these inputs force a unique IMF solution) stands.
  3. Manuscript integrity for review: The full-text body supplied under this paper_id/title is an unrelated computer-vision manuscript (LaDe: multi-layered graphic media generation). No chemical-evolution equations, yield tables, IMF parameterisation, SFH inputs, abundance comparison sample, or degeneracy tests for the SMC study are available. Load-bearing claims cannot be checked against sections, equations, or tables of the actual astrophysics paper.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity can be established: cached full text is the wrong paper (LaDe CV manuscript), and the SMC abstract alone does not exhibit a by-construction reduction.

full rationale

The load-bearing claim of arXiv:2603.17963 is that SMC neutron-capture abundance patterns are reproduced only with an enhanced delayed r-process at low metallicity plus a top-lighter IMF relative to Kroupa (2001). Circularity of the FITTED_INPUT_CALLED_PREDICTION kind would require quoting model equations, yield tables, SFH inputs, and a joint parameter grid showing that the claimed uniqueness is forced by construction rather than tested. The CACHEABLE PAPER SOURCE CONTEXT instead contains the unrelated LaDe layered-media-generation manuscript (cs.CV); no chemical-evolution equations, IMF slopes, r-process delay/enhancement factors, or degeneracy tests for the SMC paper are present. From the abstract alone, the language is standard chemical-evolution model fitting (assumptions varied until observables are matched), not a self-definitional identity or a fitted parameter renamed as an independent prediction. Per hard rules, circularity is not manufactured without quotable reductions. Score 0; steps empty.

Assumptions & free parameters 2 free parameters · 3 assumptions · 0 invented entities

Abstract-only review. The load-bearing modelling choices that can be extracted are: (1) SFHs from CMD fitting are taken as given, (2) standard nucleosynthetic sources are assumed except for an ad-hoc enhancement of the delayed r-process, and (3) the IMF is allowed to deviate from Kroupa (2001). No free-parameter values or invented particles appear in the abstract.

free parameters (2)
  • delayed r-process enhancement factor at low metallicity
    Abstract states an ‘enhanced contribution from the delayed r-process at low metallicity’ is required; the numerical factor is not given but is clearly tuned to the data.
  • IMF high-mass slope (top-lighter than Kroupa 2001)
    The IMF is adjusted relative to the Kroupa reference to match the observed abundance patterns; the precise slope is a free modelling choice.
assumptions (3)
  • domain assumption Star-formation histories recovered from colour-magnitude diagram fitting accurately represent the true SFH of the SMC.
    Models take these SFHs as direct input; any systematic error propagates into all abundance predictions.
  • domain assumption Standard nucleosynthetic yields for alpha, Fe-peak, weak-s, main-s and r-process sources are adequate once the delayed r-process is rescaled.
    The paper follows ‘a large variety of nucleosynthetic sources’ and only modifies the delayed r-process contribution.
  • domain assumption A single-zone or multi-zone chemical-evolution framework with instantaneous mixing is sufficient for the SMC.
    Implicit in the use of classical chemical-evolution models driven by CMD-derived SFHs.

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Cite this review

Pith. "Pith review of The chemical DNA of the Magellanic Clouds VI. Origin and evolution of neutron-capture elements in the SMC." pith.science (2026). https://pith.science/paper/K53AI23S

@misc{pith2026260317963,
  author       = {Pith},
  title        = {Pith review of: The chemical DNA of the Magellanic Clouds VI. Origin and evolution of neutron-capture elements in the SMC},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/K53AI23S}},
  note         = {Machine review of arXiv:2603.17963}
}
read the original abstract

Context. In the context of galactic archaeology, the study of the Small Magellanic Cloud (SMC) is of crucial importance, as it represents a unique opportunity to study a nearby massive dwarf system. However, theoretical studies of the chemical evolution of this galaxy are strikingly lacking. Aims. In this study, we investigate the chemical enrichment of the SMC galaxy. Besides alpha and Fe-peak elements, we devote particular attention to the evolution of neutron-capture elements with different origin, namely r-process (Eu), weak s-process (Zr) and main s-process (Ba, La). Methods. We develop chemical evolution models that use as input the star formation histories obtained from colour-magnitude diagram fitting. We follow in detail the chemical feedback provided by a large variety of nucleosynthetic sources. Model predictions are compared with recent abundance measurements for the SMC. Results. The developed framework reproduces well all the observables for elements up to the Fe-peak. The abundance patterns of n-capture elements are simultaneously reproduced only by assuming an enhanced contribution from the delayed r-process at low metallicity and a top-lighter IMF relative to the reference IMF by Kroupa (2001). In this way, both the observed very high plateau in [Eu/Fe] and the rising trends in [s-process/Fe] ratios can be reproduced by the models. Conclusions. This study provides for the first time information on the evolution of several n-capture elements in a massive dwarf irregular galaxy, also providing insight on several ingredients driving galactic evolution. Moreover, this work provides a test-bed for further modelling of the SMC in the context of the numerous surveys that will target the Magellanic Clouds in the next years.

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Works this paper leans on

44 extracted references · 3 linked inside Pith

  1. [1]

    Tim Brooks, Aleksander Holynski, and Alexei A. Efros. Instructpix2pix: Learning to follow image editing instruc- tions. InProceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pages 18392– 18402, 2023. 5, 6

  2. [2]

    Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V

    Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tai, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pel- lat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Zhao, Yanping...

  3. [3]

    Diffedit: Diffusion-based semantic image editing with mask guidance

    Guillaume Couairon, Jakob Verbeek, Holger Schwenk, and Matthieu Cord. Diffedit: Diffusion-based semantic image editing with mask guidance. InProceedings of the Inter- national Conference on Learning Representations (ICLR),

  4. [4]

    Tam- ing Transformers for High-Resolution Image Synthesis

    Patrick Esser, Robin Rombach, and Bjorn Ommer. Tam- ing Transformers for High-Resolution Image Synthesis . In 2021 IEEE/CVF Conference on Computer Vision and Pat- tern Recognition (CVPR), pages 12868–12878, 2021. 9

  5. [5]

    Scaling rectified flow trans- formers for high-resolution image synthesis

    Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim En- tezari, Jonas M ¨uller, Harry Saber, Dominik Sauer, Robin Lorenz, Frederic Boesel, et al. Scaling rectified flow trans- formers for high-resolution image synthesis. InProceed- ings of the International Conference on Machine Learning (ICML), 2024. 1, 5, 6

  6. [6]

    Relationadapter: Learning and transferring visual relation with diffusion transformers, 2025

    Yan Gong, Yiren Song, Yicheng Li, Chenglin Li, and Yin Zhang. Relationadapter: Learning and transferring visual relation with diffusion transformers, 2025. 5

  7. [7]

    Denoising dif- fusion probabilistic models

    Jonathan Ho, Ajay Jain, and Pieter Abbeel. Denoising dif- fusion probabilistic models. InAdvances in Neural Informa- tion Processing Systems (NeurIPS), pages 6840–6851, 2020. 1, 5

  8. [8]

    Arteditor: Learning cus- tomized instructional image editor from few-shot examples

    Shijie Huang, Yiren Song, Yuxuan Zhang, Hailong Guo, Xueyin Wang, and Jiaming Liu. Arteditor: Learning cus- tomized instructional image editor from few-shot examples. InProceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 17651–17662, 2025. 5

Show all 44 references
  1. [9]

    OpenCOLE: Towards Reproducible Auto- matic Graphic Design Generation

    Naoto Inoue, Kento Masui, Wataru Shimoda, and Kota Yamaguchi. OpenCOLE: Towards Reproducible Auto- matic Graphic Design Generation. InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024. 5

  2. [10]

    Cole: A hierarchical generation framework for multi- layered and editable graphic design, 2024

    Peidong Jia, Chenxuan Li, Yuhui Yuan, Zeyu Liu, Yichao Shen, Bohan Chen, Xingru Chen, Yinglin Zheng, Dong Chen, Ji Li, Xiaodong Xie, Shanghang Zhang, and Baining Guo. Cole: A hierarchical generation framework for multi- layered and editable graphic design, 2024. 5

  3. [11]

    Layeringdiff: Lay- ered image synthesis via generation, then disassembly with generative knowledge.arXiv preprint arXiv:2501.01197,

    Kyoungkook Kang, Gyujin Sim, Geonung Kim, Donguk Kim, Seungho Nam, and Sunghyun Cho. Layeringdiff: Lay- ered image synthesis via generation, then disassembly with generative knowledge.arXiv preprint arXiv:2501.01197,

  4. [12]

    Analyzing and improv- ing the image quality of StyleGAN

    Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila. Analyzing and improv- ing the image quality of StyleGAN. InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 8110–8119, 2020. 5

  5. [13]

    From elements to design: A layered ap- proach for automatic graphic design composition

    Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, and Jiang Bian. From elements to design: A layered ap- proach for automatic graphic design composition. InCVPR,

  6. [14]

    Omnipsd: Layered psd generation with diffusion transformer.arXiv preprint arXiv:2512.09247, 2025

    Cheng Liu, Yiren Song, et al. Omnipsd: Layered psd generation with diffusion transformer.arXiv preprint arXiv:2512.09247, 2025. 5, 6, 9, 10

  7. [15]

    Decoupled weight de- cay regularization

    Ilya Loshchilov and Frank Hutter. Decoupled weight de- cay regularization. InInternational Conference on Learning Representations, 2019. 9

  8. [16]

    Gpt-4o mini: advancing cost-efficient intelligence

    OpenAI. Gpt-4o mini: advancing cost-efficient intelligence. https : / / openai . com / index / gpt - 4o - mini/,

  9. [17]

    5, 9, 10, 11

    Accessed: March 2026. 5, 9, 10, 11

  10. [18]

    Scalable Diffusion Mod- els with Transformers

    William Peebles and Saining Xie. Scalable Diffusion Mod- els with Transformers . In2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 4172–4182,

  11. [19]

    Art: Anony- mous region transformer for variable multi-layer transparent image generation.arXiv preprint arXiv:2502.18364, 2025

    Yifan Pu, Yiming Zhao, Zhicong Tang, Ruihong Yin, Haox- ing Ye, Yuhui Yuan, Dong Chen, Jianmin Bao, Sirui Zhang, Yanbin Wang, Lin Liang, Lijuan Wang, Ji Li, Xiu Li, Zhouhui Lian, Gao Huang, and Baining Guo. Art: Anony- mous region transformer for variable multi-layer transpare...

  12. [20]

    High-Resolution Image Synthesis with Latent Diffusion Models

    Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Bjorn Ommer. High-Resolution Image Synthesis with Latent Diffusion Models . In2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 10674–10685, 2022. 1, 5, 8

  13. [21]

    Progressive distillation for fast sampling of diffusion models.CoRR, abs/2202.00512,

    Tim Salimans and Jonathan Ho. Progressive distillation for fast sampling of diffusion models.CoRR, abs/2202.00512,

  14. [22]

    Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 2024

    Jianlin Su, Murtadha Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, and Yunfeng Liu. Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 2024. 5, 8

  15. [23]

    Layerd: Decomposing raster graphic designs into layers

    Tomoyuki Suzuki, Kang-Jun Liu, Naoto Inoue, and Kota Ya- maguchi. Layerd: Decomposing raster graphic designs into layers. InProceedings of the IEEE/CVF International Con- ference on Computer Vision (ICCV), 2025. 6, 10, 11

  16. [24]

    Qwen3 technical report, 2025

    Qwen Team. Qwen3 technical report, 2025. 5, 9, 10, 11

  17. [25]

    Zhendong Wang, Jianmin Bao, Shuyang Gu, Dongdong Chen, Wen gang Zhou, and Houqiang Li. Designdiffusion: High-quality text-to-design image generation with diffusion models.2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 20906–20915, 2025. 5

  18. [26]

    Canvasvae: Learning to generate vector graphic documents.ICCV, 2021

    Kota Yamaguchi. Canvasvae: Learning to generate vector graphic documents.ICCV, 2021. 5, 9, 10, 11

  19. [27]

    Generative image layer decomposition with visual effects

    Jinrui Yang, Qing Liu, Yijun Li, Soo Ye Kim, Daniil Pakho- mov, Mengwei Ren, Jianming Zhang, Zhe Lin, Cihang Xie, 12 and Yuyin Zhou. Generative image layer decomposition with visual effects. InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (C...

  20. [28]

    Controllable layered image generation for real-world editing, 2026

    Jinrui Yang, Qing Liu, Yijun Li, Mengwei Ren, Letian Zhang, Zhe Lin, Cihang Xie, and Yuyin Zhou. Controllable layered image generation for real-world editing, 2026

  21. [29]

    Ni, Jingren Zhou, Junyang Lin, and Chenfei Wu

    Shengming Yin, Zekai Zhang, Zecheng Tang, Kaiyuan Gao, Xiao Xu, Kun Yan, Jiahao Li, Yilei Chen, Yuxiang Chen, Heung-Yeung Shum, Lionel M. Ni, Jingren Zhou, Junyang Lin, and Chenfei Wu. Qwen-image-layered: Towards in- herent editability via layer decomposition.arXiv preprint ar...

  22. [30]

    The unreasonable effectiveness of deep features as a perceptual metric

    Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang. The unreasonable effectiveness of deep features as a perceptual metric. InCVPR, 2018. 7

  23. [31]

    Ssr-encoder: Encoding selec- tive subject representation for subject-driven generation

    Yuxuan Zhang, Yiren Song, Jiaming Liu, Rui Wang, Jin- peng Yu, Hao Tang, Huaxia Li, Xu Tang, Yao Hu, Han Pan, and Zhongliang Jing. Ssr-encoder: Encoding selec- tive subject representation for subject-driven generation. In 2024 IEEE/CVF Conference on Computer Vision and Pat- te...

  24. [32]

    Internvl3: Exploring advanced training and test-time recipes for open-source multimodal models, 2025

    Jinguo Zhu, Weiyun Wang, Zhe Chen, Zhaoyang Liu, Shen- glong Ye, Lixin Gu, Hao Tian, Yuchen Duan, Weijie Su, Jie Shao, Zhangwei Gao, Erfei Cui, Xuehui Wang, Yue Cao, Yangzhou Liu, Xingguang Wei, Hongjie Zhang, Haomin Wang, Weiye Xu, Hao Li, Jiahao Wang, Nianchen Deng, Songze L...

  25. [33]

    Training Our main focus is the layered paradigm of media design processing, which is a natural extension of standard image generation

    Implementation details 6.1. Training Our main focus is the layered paradigm of media design processing, which is a natural extension of standard image generation. Hence, our model is trained on top of an iden- tical text-to-image generation model that has already con- verged. ...

  26. [34]

    2, together with more T2L and I2L samples in Figs

    Qualitative Evaluation We present more T2I examples obtained withLaDein Fig. 2, together with more T2L and I2L samples in Figs. 3 and 4

  27. [35]

    14 Image-to-Layers: Step 1: Captioning You will receive a photo of a design

    Prompts We present the prompts utilized in Figs 11, 12, 13, 14 and 15. 14 Image-to-Layers: Step 1: Captioning You will receive a photo of a design. Please describe the design as thoroughly as you can, focusing on the visual elements. Do not miss any of the elements. The backgr...

  28. [36]

    This should provide context and purpose for the design

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  29. [37]

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  30. [38]

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  31. [39]

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  32. [40]

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  33. [41]

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  34. [42]

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  35. [43]

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  36. [44]

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Reviewed July 13, 2026 · model on record in the stance chip above.