The DOI matches its Crossref record.
Problems in Physics with many Scales of Length
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The Ising model has been shown to predict experimental observations of magnetic systems near T=Tc with high accuracy.”
From Fundamental constraints to the logic of living systems (2024) · cites this paper as [361]
Citations
Cites
Still being checked.
Cited by
A theoretical model of phase transitions in human hand movements.
Haken, H., Kelso, J. A. S., & Bunz, H. (1985) · Biological Cybernetics · doi:10.1007/bf00336922 · Cited by 2,328
Scale-free correlations in starling flocks
Cavagna, A., Cimarelli, A., Giardina, I., Parisi, G., Santagati, R., Stefanini, F., & Viale, M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005766107 · Cited by 1,082
Scale invariance in biology: coincidence or footprint of a universal mechanism?
GISIGER, T. (2001) · Biological Reviews · doi:10.1017/s1464793101005607 · Cited by 323
Fundamental constraints to the logic of living systems
Solé, R., Kempes, C. P., Corominas-Murtra, B., De Domenico, M., Kolchinsky, A., Lachmann, M., Libby, E., Saavedra, S., Smith, E., & Wolpert, D. (2024) · Interface Focus · doi:10.1098/rsfs.2024.0010 · Cited by 34
Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs
Stuhlmüller, A., Hawkins, R. X. D., Siddharth, N., & Goodman, N. D. (2015) · arXiv · doi:10.48550/arxiv.1509.02962 · Cited by 1
Metadata
- Authors
- Wilson, K. G.
- Corresponding author
- Wilson, Kenneth G.
- Venue
- Scientific American
- Published
- 1979-08
- Volume
- 241
- Issue
- 2
- Pages
- 158-179
- ISSN
- 0036-8733 (ISSN-L)
- OpenAlex
- W1998952369
- Cited by
- 564
- References
- 0
- Citations by year
- 2026: 4 · 2025: 16 · 2024: 49 · 2023: 14 · 2022: 21 · 2021: 18 · 2020: 13 · 2019: 28 · 2018: 12 · 2017: 7 · 2016: 10 · 2015: 15 · 2014: 10 · 2013: 36 · 2012: 7
- FWCI
- 3.74
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Scientific American (publishedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Condensed Matter Physics › Theoretical and Computational Physics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
- Physical Sciences › Mathematics › Mathematical Physics › Stochastic processes and statistical mechanics
- Keywords
- renormalization group, length scales, scale invariance, critical phenomena, phase transitions, magnetic systems, fluids, fluctuations, statistical mechanics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Problems in Physics with many Scales of Length. https://app.cochat.ai/papers/10.1038/scientificamerican0879-158
- The paper
- Wilson, K. G. (1979). Problems in Physics with many Scales of Length. Scientific American. https://doi.org/10.1038/scientificamerican0879-158
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
