@article{22306,
  abstract     = {The AP3 complex mediates cargo sorting and carrier assembly for the trafficking of transmembrane proteins from endosomes to lysosomes. AP3 is generally believed to localize to clathrin-free, ARF1-positive, elongated carriers in cells, but the architecture of AP3-based coats was unknown. Using in vitro reconstitution and cryo–electron tomography, we demonstrate that AP3:ARF1 spontaneously remodels membranes containing cargo and the phosphoinositide PI(3,5)P
                    <jats:sub>2</jats:sub>
                    into tubular structures coated in spiraling rows of AP3 arches and ARF1 dimers. Targeted point mutations disrupting critical AP3:ARF1 and AP3:AP3 lattice interfaces disrupt AP3 recruitment, carrier formation, and lysosomal cargo trafficking in cells. We propose that AP3 generates tubular carriers on endosomes by organizing ARF1 dimers into elongated membrane-deforming arrays while simultaneously selecting cargo. By demonstrating that AP3:ARF1 can generate carriers without using a clathrin lattice, we explain the clathrin independence of AP3-mediated trafficking.},
  author       = {Kaufman, Jonathan G.G. and Tagiltsev, Grigory and Stalder, Danièle S. and Taylor, Rebecca J. and Sava, Ioana and Guo, Hui and Ciazynska, Katarzyna A. and Zaccai, Nathan R. and Gray, Sally R. and Vallis, Yvonne and Höning, Stefan and Kelly, Bernard T. and Gershlick, David C. and Briggs, John A.G. and Owen, David J.},
  issn         = {2375-2548},
  journal      = {Science Advances},
  number       = {20},
  publisher    = {American Association for the Advancement of Science},
  title        = {{Architecture of clathrin-independent AP3:ARF1-coated carriers}},
  doi          = {10.1126/sciadv.aed1529},
  volume       = {12},
  year         = {2026},
}

@article{22304,
  abstract     = {We derive an analog of the Lellouch-Lüscher (LL) relation for few-body bosonic systems, linking few-body scattering loss rates to the energies and widths of the corresponding harmonically trapped few-body states. Three-body numerical simulations show that the LL relation applies across a broad range of interaction strengths and energies and allows the determination of scattering rates within a single partial wave. Our Letter establishes a robust theoretical framework for understanding the role of the finite-volume effect in few-body observables in optical lattice and tweezer experiments, enabling precise determination of multibody scattering rates.},
  author       = {Li, Jinglun and Julienne, Paul S. and Denschlag, Johannes Hecker and D’Incao, José P.},
  issn         = {1079-7114},
  journal      = {Physical Review Letters},
  number       = {20},
  publisher    = {American Physical Society},
  title        = {{Lellouch-Lüscher relation for ultracold few-atom systems under confinement}},
  doi          = {10.1103/pzlp-7k8d},
  volume       = {136},
  year         = {2026},
}

@article{22307,
  abstract     = {We investigate magnetic active matter in confined geometries using both experiments with magnetic toy robots, Hexbugs, and simulations of elongated magnetic active Brownian particles in circular domains. Standard active particles tend to accumulate at boundaries, forming clusters even at relatively low densities. In the presence of magnetic interactions, we provide evidence for a  effect that inhibits clustering and shifts its onset to higher packing fractions. Moreover, magnetic dipolar interactions give rise to collective behaviors such as train-like formations, rotating pairs, and rotating clusters.},
  author       = {Musacchio, Marco and Felber, Markus and Paoluzzi, Matteo and Gnoli, Andrea and Puglisi, Andrea and Angelani, Luca},
  issn         = {2470-0053},
  journal      = {Physical Review E},
  number       = {5},
  publisher    = {American Physical Society},
  title        = {{Fluidization induced by magnetic interactions in confined active matter}},
  doi          = {10.1103/hylm-ljlf},
  volume       = {113},
  year         = {2026},
}

@inproceedings{22302,
  abstract     = {Speculative generation has emerged as a promising technique to accelerate inference in large language models (LLMs) by leveraging parallelism to verify multiple draft tokens simultaneously. However, the fundamental limits on the achievable speedup remain poorly understood. In this work, we establish the first “tight” lower bounds on the runtime of any deterministic speculative generation algorithm. This is achieved by drawing a parallel between the token generation process and branching random walks, which allows us to analyze the optimal draft tree selection problem. We prove, under basic assumptions, that the expected number of tokens successfully predicted per speculative iteration is bounded as \mathbb{E}[X] ≤ (𝜇 + 𝜇(2))log(B )/𝜇2 + O(1), where B is the verifier’s batch size, 𝜇 is the expected entropy of the verifier’s output distribution, and 𝜇(2) is this entropy’s second moment. This result provides new insights into the limits of parallel token generation, and could guide the design of future speculative decoding systems. Empirical evaluations on Llama models validate our theoretical predictions, confirming the tightness of our bounds in practical settings.},
  author       = {Pankratov, Sergei and Alistarh, Dan-Adrian},
  booktitle    = {Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics},
  location     = {Rabat, Morocco},
  pages        = {6404–6418},
  publisher    = {Association for Computational Linguistics},
  title        = {{Speculative decoding speed-of-light: Optimal lower bounds via branching random walks}},
  doi          = {10.18653/v1/2026.eacl-long.301},
  year         = {2026},
}

@article{22305,
  abstract     = {Active dendrites enrich the repertoire of single-neuron computations. Whereas a lot is known about the function of dendrites in vitro, information about their in vivo properties is limited. A new study1 uses advanced imaging to study hippocampal CA1 pyramidal neuron dendrites in head-fixed, awake animals.},
  author       = {Bhattacharya, Subhodeep and Jonas, Peter M},
  issn         = {0896-6273},
  journal      = {Neuron},
  number       = {10},
  pages        = {1706--1708},
  publisher    = {Elsevier},
  title        = {{Mission impossible? Quantitative analysis of dendritic computations in vivo}},
  doi          = {10.1016/j.neuron.2026.04.002},
  volume       = {114},
  year         = {2026},
}

@unpublished{22276,
  abstract     = {Tissue tension is a key determinant of tissue shape, and its regulation is essential for both morphogenesis and the maintenance of tissue integrity. During zebrafish embryogenesis, the enveloping layer (EVL) – an epithelial monolayer covering the blastoderm – undergoes extensive spreading that is driven by pulling forces exerted at its margin and more than doubles its surface area. Yet whether and how the EVL actively regulates its tissue tension during this process remains unclear. Here, we show that the EVL maintains constant tissue tension while spreading, and that it achieves this by reducing apical cell contractility in response to the same pulling forces that drive its spreading. We identify a mechanosensitive pathway underlying this response, mediated by the scaffold/adaptor protein Kibra regulating the activity of atypical protein kinase C (aPKC) at the apical domain of EVL cells. Under low mechanical stretch, Kibra forms condensates at the base of actin-based apical projections, where it activates Myosin II to increase apical contractility through aPKC downregulation. As mechanical stretch increases, apical projections disassemble, Kibra condensates dissolve, and aPKC activity rises. Elevated aPKC activity in turn reduces apical contractility by reducing Myosin II activity, thereby maintaining constant tissue tension despite increased mechanical stretch. Together, these findings reveal a mechanosensitive mechanism that enables robust adaptation of tissue tension to changing mechanical stretch, ensuring efficient tissue spreading and morphogenesis.},
  author       = {Hino, Naoya and Kapoor, Tushna and Gubbala, Uday R and Hannezo, Edouard B and Heisenberg, Carl-Philipp J},
  keywords     = {Epithelial spreading, tissue tension, mechanosensation, aPKC, Kibra, zebrafish},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Apical domain mechanosensation regulates tissue tension homeostasis}},
  year         = {2026},
}

@misc{21864,
  author       = {Anonymous, 1 and Anonymous, 2 and Anonymous, 3},
  issn         = {2664-1690},
  pages        = {32},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Mechanism of tissue tension homeostasis during embryogenesis}},
  year         = {2026},
}

@article{22308,
  abstract     = {This article is a collection of contributions from speakers at the 2025 DEAMN workshop at the Majorana Centre in Erice. Not ordinary contributions to a conference proceeding, this gives a new and different perspective on the work done by the workshop participants.},
  author       = {Hansen, Klavs and Kresin, Vitaly and Al Hyder, Ragheed and Lemeshko, Mikhail and Fárník, Michal and Fedor, Juraj and Ferrari, Piero and Worutowicz, Laura X. and Louwerse, Rick J. and Kiawi, Denis and Waters, Laurens B. F. M. and Lang, Sandra M. and Bakker, Joost M. and von Issendorff, Bernd and Kong, Wei and Mehmel, Jannik and Schäfer, Rolf and Pedalino, Sebastian and Ramírez-Galindo, Bruno E. and Ferstl, Richard and Sindelar, Severin and Gerlich, Stefan and Arndt, Markus and Sayres, Scott G. and Wang, Lai-Sheng},
  issn         = {1434-6079},
  journal      = {The European Physical Journal D},
  number       = {5},
  publisher    = {Springer Nature},
  title        = {{Reflections on future problems in cluster science}},
  doi          = {10.1140/epjd/s10053-026-01126-x},
  volume       = {80},
  year         = {2026},
}

@article{22167,
  abstract     = {Given a vertex-ordered graph G, the ordered Ramsey number
r<(G) is the minimum integer N such that every 2-coloring of the edges of
the complete ordered graph KN contains a monochromatic ordered copy of G.
Motivated by a similar question posed by Erd˝os and Graham [On partition
theorems for finite graphs, Infinite and finite sets (Colloq., Keszthely, 1973),
North-Holland, Amsterdam-London, pp. 515–527] in the unordered setting,
we study the problem of bounding the ordered Ramsey number of any ordered graph G with m edges and no isolated vertices. We prove that r<(G) ≤
e109√m(log log m)3/2
for any such G, which is tight up to the (log log m)3/2
factor in the exponent. As a corollary, we obtain the corresponding bound for
the oriented Ramsey number of a directed graph with m edges.},
  author       = {Bradač, Domagoj and Morawski, Patryk and Sudakov, Benny and Wigderson, Yuval},
  issn         = {1088-6826},
  journal      = {Proceedings of the American Mathematical Society},
  number       = {3},
  pages        = {927--942},
  publisher    = {American Mathematical Society},
  title        = {{Ordered Ramsey numbers of graphs with 𝑚 edges}},
  doi          = {10.1090/proc/17442},
  volume       = {154},
  year         = {2026},
}

@article{22183,
  abstract     = {A partition of a (hyper)graph is ε-homogeneous if the edge densities between almost all clusters are
either at most ε or at least 1 − ε. Suppose a 3-graph has the property that the link of every vertex has
an ε-homogeneous partition of size poly(1/ε). Does this guarantee that the 3-graph also has a small
homogeneous partition? Terry and Wolf proved that such a 3-graph has an ε-homogeneous partition
of size given by a wowzer-type function. Terry recently improved this to a double exponential bound,
and conjectured that this bound is tight. Our first result in this paper disproves this conjecture by
giving an improved (single) exponential bound, which is best possible. We further obtain an analogous
result for k-graphs of all uniformities k  3. The above problem is part of a much broader programme,
which seeks to understand the conditions under which a (hyper)graph has small ε-regular partitions.
While this problem is fairly well understood for graphs, the situation is (as always) much more
involved already for 3-graphs. For example, it is natural to ask if one can strengthen our first result
by only requiring each link to have ε-regular partitions of size poly(1/ε). Our second result shows that
surprisingly the answer is “no”, namely, a 3-graph might only have regular partitions of tower-type size,
even though the link of every vertex has an ε-regular partition of polynomial size.},
  author       = {Gishboliner, Lior and Shapira, Asaf and Wigderson, Yuval},
  issn         = {1687-0247},
  journal      = {International Mathematics Research Notices},
  number       = {4},
  publisher    = {Oxford University Press},
  title        = {{Is it easy to regularize a hypergraph with easy links?}},
  doi          = {10.1093/imrn/rnag018},
  volume       = {2026},
  year         = {2026},
}

@article{22184,
  abstract     = {Ramsey's theorem states that if N
 is sufficiently large, then no matter how one colors the edges among N
 vertices with two colors, there are always k
 vertices spanning edges in only one color. Given this theorem, it is natural to ask "how large is sufficiently large?" Ramsey's original proof showed that N=k!
 is sufficient, and five years later Erdős and Szekeres improved this bound to N=4^k
. And then progress stalled for almost 90 years.

In this survey, I present the history of the problem, and discuss some of the ideas used in the recent breakthrough of Campos–Griffiths–Morris–Sahasrabudhe, who proved that N=3.993^k
 is sufficient. In addition, I discuss the subsequent work of Balister, Bollobás, Campos, Griffiths, Hurley, Morris, Sahasrabudhe, and Tiba, who gave an alternative, and more conceptual, proof.},
  author       = {Wigderson, Yuval},
  issn         = {0303-1179},
  journal      = {Astérisque},
  pages        = {85--138},
  publisher    = {Societe Mathematique de France},
  title        = {{Exposé Bourbaki 1230 : Upper bounds on diagonal Ramsey numbers (after Campos, Griffiths, Morris, and Sahasrabudhe)}},
  doi          = {10.24033/ast.1255},
  year         = {2026},
}

@article{22218,
  abstract     = {Physiological void spaces exist at every scale of the human body, from organs to molecules, facilitating transport, signal propagation, and localized biochemical activity. Constriction of these spaces (e.g., arterial occlusion, fibrosis) highlights their importance, making their mimicry essential in tissue engineering (TE). This review examines four key strategies for introducing porosity into hydrogels across multiple length scales: templating, microgels, phase separation, and 3D printing. The first three methods enable the engineering of physiological environments at the nano‐ to micro‐scale, mimicking tissue‐ and extracellular matrix (ECM)‐level spaces. Templating involves embedding and removal of gas, liquid, or solid phases, leaving behind pores. Microgel annealing generates inherent interstitial voids. Liquid–liquid phase separation (LLPS) creates biphasic networks reminiscent of native ECM. The fourth approach, extrusion‐ and light‐based 3D printing techniques, enables the fabrication of larger‐scale spaces, such as luminal structures (e.g., vasculature, airways, and ducts). Combining these methods enables the creation of hierarchical architectures from the nano‐ to centimeter scale. The review also highlights Filamented Light (FLight) technology, which creates internal microstructural voids relevant to anisotropic tissues. This review offers insights into current methods and their convergence for generating biomimetic void spaces to meet the physiological demands of cells, tissues, and organs.},
  author       = {Puiggalí‐Jou, Anna and Hui, Isabel B. and Fernández-Rico, Carla and Zenobi‐Wong, Marcy},
  issn         = {1521-4095},
  journal      = {Advanced Materials},
  number       = {7},
  publisher    = {Wiley},
  title        = {{The space within: How architected voids promote tissue formation}},
  doi          = {10.1002/adma.202507385},
  volume       = {38},
  year         = {2026},
}

@article{22215,
  abstract     = {Elastic MicroPhase separation (EMPS) provides a simple route to create soft materials with homogeneous microstructures by leveraging the supersaturation of crosslinked polymer networks with liquids. At low supersaturation, network elasticity stabilizes a uniform mixture, but beyond a critical threshold, metastable microphase-separated domains emerge. While previous theories have focused on describing qualitative features about the size and morphology of these domains, they do not make quantitative predictions about EMPS phase diagrams. In this work, we extend Flory–Huggins theory to quantitatively capture EMPS phase diagrams by incorporating strain-stiffening effects. This model requires no fitting parameters and relies solely on independently measured solubility parameters and large-deformation mechanical responses. Our results confirm that strain-stiffening enables metastable microphase separation within the swelling equilibrium state and reveal why the microstructures can range from discrete droplets to bicontinuous networks. This works highlights the critical role of nonlinear elasticity in controlling phase-separated morphologies in polymer gels.},
  author       = {Fernández-Rico, Carla and Style, Robert W. and Heyden, Stefanie and Wang, Shichen and Olmsted, Peter D. and Dufresne, Eric R.},
  issn         = {1744-6848},
  journal      = {Soft Matter},
  number       = {2},
  pages        = {330--342},
  publisher    = {Royal Society of Chemistry},
  title        = {{Thermodynamics of microphase separation in a swollen, strain-stiffening polymer network}},
  doi          = {10.1039/d5sm00594a},
  volume       = {22},
  year         = {2026},
}

@article{21002,
  abstract     = {The Davenport–Heilbronn method is a version of the circle method that was developed for studying Diophantine inequalities in the paper (Davenport and Heilbronn, J. Lond. Math. Soc. (1) 21 (1946), 185–193). We discuss the main ideas in the paper, together with an account of the development of the subject in the intervening 80 years.},
  author       = {Browning, Timothy D},
  issn         = {1469-7750},
  journal      = {Journal of the London Mathematical Society},
  number       = {1},
  publisher    = {Wiley},
  title        = {{The Davenport–Heilbronn method: 80 years on}},
  doi          = {10.1112/jlms.70371},
  volume       = {113},
  year         = {2026},
}

@article{21385,
  abstract     = {We prove that the average size of a mixed character sum (math. formular) (for a suitable smooth function w) is on the order of √x for all irrational real θ satisfying a weak Diophantine condition, where χ is drawn from the family of Dirichlet characters modulo a large prime r and where x 6 r. In contrast, it was proved by Harper that the average size is o(√x) for rational θ. Certain quadratic Diophantine equations play a key role in the present paper. },
  author       = {Wang, Victor and Xu, Max},
  issn         = {1473-7124},
  journal      = {Proceedings of the Royal Society of Edinburgh: Section A Mathematics},
  pages        = {1--15},
  publisher    = {Cambridge University Press},
  title        = {{Average sizes of mixed character sums}},
  doi          = {10.1017/prm.2026.10123},
  year         = {2026},
}

@article{21242,
  abstract     = {We obtain an asymptotic formula for the number of integral solutions to a system of diagonal equations. We obtain an asymptotic formula for the number of solutions with variables restricted to smooth numbers as well. We improve the required number of variables compared to previous results by incorporating recent progress on Waring’s problem and the resolution of the main conjecture in Vinogradov’s mean value theorem.},
  author       = {Rome, Nick and Yamagishi, Shuntaro},
  issn         = {1945-5844},
  journal      = {Pacific Journal of Mathematics},
  number       = {1},
  pages        = {179--198},
  publisher    = {Mathematical Sciences Publishers},
  title        = {{Integral solutions to systems of diagonal equations}},
  doi          = {10.2140/pjm.2026.340.179},
  volume       = {340},
  year         = {2026},
}

@article{22318,
  abstract     = {Many intended uses of differential privacy involve a continual mechanism that is set up to run continuously
over a long period of time, making more statistical releases as either queries come in or the dataset is updated.
In this paper, we give the first general treatment of privacy against adaptive adversaries for mechanisms that
support dataset updates and a variety of queries, all arbitrarily interleaved. It also models a very general notion
of neighboring, that includes both event-level and user-level privacy. We prove several concurrent composition
theorems for continual mechanisms, which ensure privacy even when an adversary can interleave its queries
and dataset updates to the different composed mechanisms. Previous concurrent composition theorems for
differential privacy were only for the case when the dataset is static, with no adaptive updates. We also give
the first interactive and continual generalizations of the “parallel composition theorem” for noninteractive
differential privacy. Specifically, we show that the analogue of the noninteractive parallel composition theorem
holds if either there are no adaptive dataset updates or each of the composed mechanisms satisfies pure
differential privacy, but it fails to hold for composing approximately differentially private mechanisms with
dataset updates. Thus, we prove a tight new composition theorem for this case. In addition, we prove concurrent
filter compositions theorems for the scenarios in which the privacy parameters are adaptively chosen. We
extend these results to other measures of differential privacy, including Rényi DP and 𝑓 -DP.
We then formalize a set of general conditions on a continual mechanism M that runs multiple continual submechanisms such that the privacy guarantees of M follow directly using the above concurrent composition
theorems on the sub-mechanisms, without further privacy loss. This enables us to give a simpler and modular
privacy analysis of a recent continual histogram mechanism of Henzinger, Sricharan, and Steiner. In the
case of approximate DP, ours is the first proof that shows that its privacy holds against adaptive adversaries.
We also provide a framework that simplifies the analysis of local differential privacy when the protocol
includes multi-round server-user interactions. Using this result, we simplify the privacy analysis of the core
decomposition protocol of Dhulipala, Henzinger, Li, Liu, Sricharan, and Zhu [5].},
  author       = {Henzinger, Monika H and Safavi Hemami, Roodabeh and Vadhan, Salil},
  issn         = {2836-6573},
  journal      = {Proceedings of the ACM on Management of Data},
  keywords     = {differential privacy, concurrent composition, continual release, continual observation, data streaming, continual mechanisms, concurrent parallel composition, concurrent filter composition},
  number       = {2},
  pages        = {1--26},
  publisher    = {Association for Computing Machinery},
  title        = {{Concurrent composition for differentially private continual mechanisms}},
  doi          = {10.1145/3801895},
  volume       = {4},
  year         = {2026},
}

@inproceedings{22294,
  abstract     = {Modern computer systems store vast amounts of personal data, enabling advances in AI and ML but risking user privacy and trust. For privacy reasons, it is sometimes desired for an ML model to forget part of the data it was trained on. In this paper, we introduce a novel unlearning approach based on Forgetting Neural Networks (FNNs), a neuroscience-inspired architecture that explicitly encodes forgetting through multiplicative decay factors. While FNNs had previously been studied as a theoretical construct, we provide the first concrete implementation and demonstrate their effectiveness for targeted unlearning. We propose several variants with per-neuron forgetting factors, including rank-based assignments guided by activation levels, and evaluate them on MNIST and Fashion-MNIST benchmarks. Our method systematically removes information associated with forget sets while preserving performance on retained data. Membership inference attacks confirm the effectiveness of FNN-based unlearning in erasing information about the training data from the neural network. These results establish FNNs as a promising foundation for efficient and interpretable unlearning. },
  author       = {Hatua, Amartya and Nguyen, Trung and Cano Cordoba, Filip and Sung, Andrew},
  booktitle    = {Proceedings of the 18th International Conference on Agents and Artificial Intelligence},
  isbn         = {9789897587962},
  issn         = {2184-433X},
  keywords     = {Machine Unlearning, Neuroscience-Inspired Machine Learning, Membership Inference Attacks},
  location     = {Marbella, Spain},
  pages        = {1536--1546},
  publisher    = {SciTePress},
  title        = {{Machine unlearning using forgetting neural networks}},
  doi          = {10.5220/0014326500004052},
  volume       = {2},
  year         = {2026},
}

@article{22322,
  abstract     = {We study the problem of continually releasing statistics of an evolving dataset under differential privacy. In the event-level setting, we show the first polynomial lower bounds on the additive error for insertions-only graph problems such as maximum matching, degree histogram and k-core number computation. These results represent an exponential improvement on the polylogarithmic lower bounds of Fichtenberger, Henzinger and Ost [ESA 2021] for the former two problems, and are the first lower bounds in the continual release setting for the latter problem. Our results run counter to the intuition that the difference between insertions-only vs fully dynamic updates causes the gap between polylogarithmic and polynomial additive error. Indeed, we show that for estimating the size of the maximum matching or k-core number of a vertex, allowing small multiplicative approximations is what brings the additive error down to polylogarithmic. We complement these results with improved upper bounds on the additive error when no multiplicative approximation is allowed.
Beyond graphs, our techniques also show that polynomial additive error is unavoidable for the Simultaneous Norm Estimation problem in the insertions-only setting. When multiplicative approximations are allowed, we circumvent this lower bound by giving the first continual mechanism with polylogarithmic additive error under (1 + ζ) multiplicative approximations, for any ζ > 0, for estimating all monotone symmetric norms simultaneously.
In the item-level setting, we show polynomial lower bounds on the product of the multiplicative and the additive error of continual mechanisms for a large range of graph problems. To the best of our knowledge, these are the first lower bounds shown for any differentially private mechanism under continual release with multiplicative error. To obtain these results, we prove a new lower bound on the product of multiplicative and additive error for the 1-Way-Marginals problem, and give reductions from 1-Way-Marginals to our desired graph problems. This generalizes the prior results of Hardt and Talwar [STOC 2010] and Bun, Ullman and Vadhan [STOC 2014, SIAM J. Comput. 2018], who gave lower bounds on the additive error for the special case of mechanisms with no multiplicative error.},
  author       = {Aryanfard, Bardiya and Henzinger, Monika H and Saulpic, David and Sricharan, A. R.},
  issn         = {2836-6573},
  journal      = {Proceedings of the ACM on Management of Data},
  number       = {2},
  pages        = {1--27},
  publisher    = {Association for Computing Machinery},
  title        = {{Improved lower bounds for privacy under continual release}},
  doi          = {10.1145/3801903},
  volume       = {4},
  year         = {2026},
}

@article{22326,
  abstract     = {In many developmental systems, cells differentiate into a tissue by reading out morphogen concentration fields, a process fundamentally limited by noise. How much can the precision of this process be improved by nonlocal information, e.g., via cell-cell communication? Using a Bayes-optimal framework, we show that positional inference depends crucially on morphogen spatial correlations and on the "structural prior" that encodes the geometry of the cellular lattice performing the readout, thereby determining what a cell can reliably assume about the position of its neighbors when interpreting nonlocal morphogen signals. We derive upper bounds on positional information gain due to nonlocal readout and identify signal processing algorithms that approximate optimal positional inference, as well as simple chemical reaction schemes which implement such algorithms. Our theory suggests that correlational information can be exploited to significantly enhance developmental precision.},
  author       = {Zhang, Chen Y and Mateu Hoyos, Pablo and Brückner, David and Tkačik, Gašper},
  issn         = { 1079-7114},
  journal      = {Physical Review Letters},
  publisher    = {American Physical Society},
  title        = {{Nonlocal decoding of positional and correlational information during development}},
  doi          = {10.1103/mbjk-v4ym},
  volume       = {137},
  year         = {2026},
}

