Inferring firm-level supply chain networks with realistic systemic risk from industry sector-level data
arXiv:2408.02467 [physics.soc-ph] (2024) · doi:10.48550/arXiv.2408.02467
- supply chain networks
- systemic risk
- maximum entropy
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Reading notes
Papers I'm interested in.
This is a changing list of papers I am reading, returning to, or simply curious about. Sometimes I will add a note; sometimes the title is the note.
Inclusion here means I found something worth thinking about. It does not imply endorsement, authorship, or a claim of expertise.
Current stack
What I'm reading
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Information Theoretical Analysis of the Aggregation and Hierarchical Structure of Ecological Networks
Journal of Theoretical Biology 116(3), 321–341 (1985) · doi:10.1016/S0022-5193(85)80271-X
- information theory
- ecological networks
- aggregation
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Intelligent data collection for reducing network structure uncertainty in material flow analysis using Bayesian optimal experimental design
Journal of Industrial Ecology 29, 2005–2023 (2025) · doi:10.1111/jiec.70111
- material flow analysis
- Bayesian experimental design
- network uncertainty
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A thermodynamically favoured molecular computer
Nature 657, 646–652 (2026) · doi:10.1038/s41586-026-10996-5
- DNA computing
- thermodynamics
- molecular computing
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From Quantum Relative Entropy to the Semiclassical Einstein Equations
Phys. Rev. Lett. 136, 091602 (2026) · doi:10.1103/lmq8-nsty
- quantum information
- gravity
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A Complete Characterization of Convexity in Flow Games
arXiv:2604.04729 [cs.GT] · doi:10.48550/arXiv.2604.04729
- game theory
- network flows
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A Topos View of Blockchain Consensus Protocols
arXiv:2111.07461 [math.CT] · doi:10.48550/arXiv.2111.07461
- category theory
- blockchain consensus
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