Orchard robot planner reports less row drift in early tests
Preprint tests report tighter row-centering and faster planning queries in simulation and one commercial orchard, but cover only static global planning.
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1101–1120
Classical toy model maps limits on what observers can learn
Preprint: In a deterministic classical toy model, access to an object's past and future depends on its record and initial resources.
Preprint: One Stretchable Wire Carries Data and Senses Strain
A liquid-metal interconnect uses resistance changes to read deformation while digital packets continue through the same link.
A model links particle resonance peaks to complex poles
An arXiv preprint proposes a geometric link between peak positions, complex poles and residue phases, while showing limits in broad scalar states.
Study Identifies When a Tensor De Morgan Law Holds
An arXiv preprint ties the law to a topological condition and proposes a universal construction, while showing it fails for Dperf(Z).
AI turns mission instructions into satellite radio policies
Preprint: A simulation found high policy-mapping accuracy, but no clear performance edge for one prompting mode over another.
SNR-Specific Signal Design Can Cut High-SNR Error Constants
Preprint: A mathematical study finds moving spherical codebooks can lower the leading error coefficient in some orthoplex regimes.
Disordered quantum model predicts a state between spread and localization
Preprint: A one-dimensional model with long-range hopping predicts a ground state that is neither fully extended nor fully localized.
TDFNet reports strong results on 360-degree image benchmarks
The TDFNet preprint combines three image projections and reports leading scores on several tests, but gives no uncertainty estimates.
AI model learns edge geometry for noisy, small-sample regression
An arXiv version-1 preprint reports Banach-KAN’s median NRMSE of 0.030 on clean tests and sharply different noise responses across the model family.
Cosmology Preprint Finds Early-Universe Results Depend on the Model
An arXiv preprint reports model-dependent constraints from an ISW–tSZ cross-correlation, but current data do not meaningfully constrain scale running.
A function nears Lipschitz regularity; its toral map is not C0-rigid
Preprint: A self-contained proof examines one lacunary skew product and its function h, with Holder regularity below exponent one and conditional deviation bounds.
Unlabeled Chest X-rays May Help Rank AI Models Under Data Shifts
Preprint benchmark finds a label-free score closely matched target model rankings, especially when labeled source data were scarce, but broader testing is still needed.
Flat targets change the limits of rearranged statistical estimates
Preprint: A theoretical study maps distinct limits for rearranged density and copula estimates when the target has flat regions.
Math preprint proves conditional formula for L-function averages
An arXiv preprint gives an explicit main term for a mixed second moment, but only under Selberg’s eigenvalue conjecture and a restricted modulus setup.
Temporary weight-decay pulses flag neural networks before generalization
Preprint: In three algorithmic tasks, temporary changes to weight decay were associated with an orderly signal about when models would generalize, while test accuracy was still at chance.
Bayesian method maps uncertainty when data cannot identify one answer
Preprint proposes turning probability estimates into sets of plausible structural answers, with a diagnostic for model mismatch.
Researchers test 18-question measure of generative AI knowledge
A preprint study of 7,432 Estonian high school students found acceptable test fit but less precise measurement among lower-scoring students.
Moore-Read signature survives a non-Hermitian test, then fails
Preprint: A finite-size model kept its Moore-Read counting across a limited range of nonreciprocity, but the signal later broke down.
Six-model benchmark linked SkillShield to lower attack scores
Preprint: In controlled coding-agent benchmarks, SkillShield was associated with lower observed attack and malware-generation scores, but attacks still succeeded.