{"total":70,"items":[{"citing_arxiv_id":"2607.08571","ref_index":48,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Manifold-adapted radial basis functions for reduced-order modelling of chaotic flows","primary_cat":"physics.flu-dyn","submitted_at":"2026-07-09T15:03:24+00:00","verdict":"CONDITIONAL","verdict_confidence":"HIGH","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Manifold-adapted anisotropic radial basis functions, shaped by clustering, yield a global explicit non-intrusive reduced vector field that recovers chaotic invariant measures competitively with intrusive and neural models.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2607.08276","ref_index":70,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"glmSTARMA -- An R-Package for fitting autoregressive spatio-temporal models following generalized linear models","primary_cat":"stat.CO","submitted_at":"2026-07-09T09:19:54+00:00","verdict":"CONDITIONAL","verdict_confidence":"MODERATE","novelty_score":6.0,"formal_verification":"none","one_line_summary":"An R package that unifies spatio-temporal STARMA and GARCH-type models through double generalized linear models, allowing simultaneous modeling of means and dispersion for count or continuous spatial time series.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2607.06696","ref_index":25,"ref_count":2,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Heat-Kernel Entropy Profiles and Geometric Effective Sample Size for Weighted Measures on Manifolds","primary_cat":"stat.ML","submitted_at":"2026-07-07T18:15:09+00:00","verdict":"CONDITIONAL","verdict_confidence":"HIGH","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Heat-kernel smoothing over weighted points on a compact manifold yields a scale-dependent geometric effective sample size that discounts nearby and duplicate particles.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2607.07735","ref_index":23,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"The Regularization Parameter: Sparse Precision Matrix Estimation","primary_cat":"stat.ML","submitted_at":"2026-07-07T13:19:19+00:00","verdict":"ACCEPT","verdict_confidence":"HIGH","novelty_score":7.0,"formal_verification":"none","one_line_summary":"A closed-form matrix regularization parameter for ℓ1-regularized Gaussian MLE, obtained by fixing reselection probability of nonzero entries, matches CV accuracy and support recovery at far lower cost.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2607.05284","ref_index":3,"ref_count":2,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Edgeworth Expansions for Linear Rank Statistics -- Consolidated Version","primary_cat":"math.ST","submitted_at":"2026-07-06T16:28:08+00:00","verdict":"CONDITIONAL","verdict_confidence":"MODERATE","novelty_score":6.0,"formal_verification":"none","one_line_summary":"First-order Edgeworth expansions with O(n^{-1}) remainders are established for general linear rank statistics via Stein's method and an extension of Bolthausen's combinatorial method.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2607.01379","ref_index":14,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"J- and MJ-Type Tests for Non-Nested Parametric Survival Models with a Cure Fraction: A Score Test Approach","primary_cat":"stat.ME","submitted_at":"2026-07-01T18:41:34+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Proposes score-test-based J and MJ statistics for non-nested cure-fraction survival models that reduce to a Vuong-like form for two models while extending to M models and providing a model-selection criterion.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.31433","ref_index":56,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"A new model for long-term forecasting of Galactic cosmic rays","primary_cat":"physics.space-ph","submitted_at":"2026-06-30T10:00:20+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"A 1D spherically symmetric Parker transport model with charge-sign and rigidity-dependent parameters fitted via solar-proxy cross-correlation is validated on PAMELA, AMS-02, and ACE data for long-term GCR forecasting.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.29146","ref_index":29,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Neutron Star Mass across Binary Pulsar Subpopulations: Mass-Spin Correlation, Mass Distributions, and Moment of Inertia Effects","primary_cat":"astro-ph.HE","submitted_at":"2026-06-28T01:55:17+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":4.0,"formal_verification":"none","one_line_summary":"Hierarchical Bayesian analysis of ~50 binary pulsars finds moderate evidence for mass-spin anti-correlation (ρ = -0.26) in the recycled population, plus a small mass offset by white-dwarf companion type and confirmation of companion-mass–eccentricity correlation in DNS systems.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.27252","ref_index":110,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Improving exoplanet mass characterisation with Bayesian model selection using the Learned Harmonic Mean Estimator","primary_cat":"astro-ph.EP","submitted_at":"2026-06-25T16:37:12+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"First use of the learned harmonic mean estimator for Bayesian model selection across circular/eccentric, white-noise/GP, and trend variants in radial velocity exoplanet analyses.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.26411","ref_index":51,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"A Spitzer Space Telescope Exploration Science Program to Search for Y Dwarf Variability","primary_cat":"astro-ph.SR","submitted_at":"2026-06-24T22:10:59+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Spitzer mid-IR monitoring of all known Y dwarfs yields variability fractions of 35-75% that, when combined with L/T dwarf data, weakly support condensate cloud variations as the driver of brown dwarf variability.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.25752","ref_index":58,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Quantity-Dependent Bulk-to-Wall Observability of Surface Loading in Rarefied Hypersonic Flow over Triangular Protrusions","primary_cat":"physics.flu-dyn","submitted_at":"2026-06-24T12:22:23+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":4.0,"formal_verification":"none","one_line_summary":"DSMC-based neighborhood analysis of rarefied hypersonic flow over triangular protrusions shows quantity-dependent bulk-to-wall information requirements, with no universal length scale for surface loading.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.23575","ref_index":71,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Solve for the Hyperparameter, Skip the Search: Kolmogorov-Optimal Scaling Laws for Spline Regression","primary_cat":"cs.LG","submitted_at":"2026-06-22T16:41:10+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Kolmogorov n-width theory plus PRESS statistics yield closed-form optimal spline resolution; KORE estimates bias/noise scales from two pilots and matches CV performance with far fewer fits.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.22457","ref_index":36,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Hyper-Nuclei $^4_{\\Lambda}\\hbox{He}$ Production in $\\sqrt{s_{\\rm{NN}}}$ = 3 GeV Au+Au collisions at RHIC","primary_cat":"nucl-ex","submitted_at":"2026-06-21T12:00:45+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"First measurement of ^4_ΛHe yields in 3 GeV Au+Au collisions shows consistency with ^4_ΛH yields and JAM coalescence model while thermal model overpredicts absolute yields.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.23725","ref_index":29,"ref_count":2,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Computational references are not experiments: pre-registered validation of machine-learned sodium-cathode voltages","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-06-19T07:51:30+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Pre-registered validation of an ML Na-cathode voltage screen yields 0.67 V MAE against experiment, with Materials Project PBE+U references 0.54 V low and dominating the error.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.20804","ref_index":30,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"LEGGOS II: A Strong Lens Model and Source-Plane Projection of the Clumpy Star-Forming Galaxy SGASJ111020.0+645950.8 at z=2.48","primary_cat":"astro-ph.GA","submitted_at":"2026-06-18T18:00:12+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":4.0,"formal_verification":"none","one_line_summary":"An updated strong lensing model of SDSSJ1110+6459 using JWST-resolved clumps yields M(<250 kpc) = 1.21^{+0.09}_{-0.04} \times 10^{14} M_/sun, \theta_E = 10.8^{+0.3}_{-0.4} arcsec, and \\mu_tot = 24.2^{+3.4}_{-1.2} with 2-8\times better magnification precision than prior models.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.19148","ref_index":101,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Fast Computation of Free-Support Wasserstein Medians","primary_cat":"stat.CO","submitted_at":"2026-06-17T14:50:29+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"Direct fixed-weight solver for free-support Wasserstein medians relocates atoms using OT barycentric projections and inverse-distance weights, achieving monotone descent on smoothed objectives with fewer subproblems than nested Weiszfeld baselines.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.12669","ref_index":79,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"The $M_{\\rm BH}$$-$$R_{\\rm b}$ relation and the high-mass end of the $M_{\\rm BH}$$-$$\\sigma$ relation","primary_cat":"astro-ph.GA","submitted_at":"2026-06-10T20:54:03+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Updated M_BH-R_b relation for core-Sérsic galaxies has slope 1.16 and 0.28 dex scatter; large-core galaxies drive a high-mass upturn in M_BH-σ attributed to successive dry mergers.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.11097","ref_index":30,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"A data-driven method for measuring corner-clipping probabilities in segmented particle detectors","primary_cat":"astro-ph.IM","submitted_at":"2026-06-09T16:53:36+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"A timing-based data-driven method to measure single-particle corner-clipping probabilities in segmented detectors, validated on Pierre Auger Underground Muon Detector simulations and parameterized by an analytical model.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.10767","ref_index":42,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Two-Sample Homogeneity Test via Entropic Optimal Transport","primary_cat":"stat.ME","submitted_at":"2026-06-09T12:21:08+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Proposes and analyzes a homogeneity test using squared L2 distance of empirical EOT maps to uniform-on-ball reference, with FCLT, Gaussian quadratic null limit, consistency, local power, and weighted multiplier bootstrap.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.07511","ref_index":69,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"GJ 3929 b as the First Complete Rocky Worlds DDT Data Set","primary_cat":"astro-ph.EP","submitted_at":"2026-06-05T17:59:10+00:00","verdict":"ACCEPT","verdict_confidence":"HIGH","novelty_score":6.0,"formal_verification":"none","one_line_summary":"GJ 3929 b's full four-eclipse JWST/MIRI data set yields an eclipse depth of 118±22 ppm, consistent with a bare rocky surface and ruling out thick CO2 atmospheres at >3σ.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.06577","ref_index":61,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Nonthermal line broadening at solar flare footpoints is primarily field-aligned","primary_cat":"astro-ph.SR","submitted_at":"2026-06-04T18:00:00+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"Nonthermal line broadening at solar flare footpoints is primarily field-aligned, demonstrated by systematic decrease in line widths from disk center to limb across 4,593 Hinode/EIS spectra from 407 flares.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.05942","ref_index":19,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"EML-CD: Causal Mechanism Recovery via EML Symbolic Trees in Structure Learning","primary_cat":"stat.ML","submitted_at":"2026-06-04T09:45:42+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"EML-CD recovers causal DAG structure and closed-form mechanisms via gated EML trees, matching PC/GES SHD on Sachs data while recovering 10 of 11 function families in bivariate tests and outperforming SINDy on mechanism f-MSE.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.04561","ref_index":14,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"A GPH-Filtered Hannan--Rissanen Information Criterion for ARFIMA Order Selection","primary_cat":"math.ST","submitted_at":"2026-06-03T07:49:16+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"A consistent two-stage GPH-filtered Hannan-Rissanen generalized information criterion for selecting finite AR and MA orders in ARFIMA models with growing candidate sets.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.03321","ref_index":45,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Validation-Gated Multi-Agent Governance for Online Adaptation of Thermal-Hydraulic Surrogate Models under Operating-Regime Shift","primary_cat":"cs.LG","submitted_at":"2026-06-02T08:31:48+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":4.0,"formal_verification":"none","one_line_summary":"A validation-gated multi-agent framework enables online adaptation of thermal-hydraulic surrogates and reduces forecast error by 19% under regime shifts on experimental loop data.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.00233","ref_index":57,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Density Evolution: A Multiscale View of Density Estimation","primary_cat":"math.ST","submitted_at":"2026-05-29T18:08:31+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"A review reframing density estimation as 'density evolution' across scales, linking kernel smoothing to heat flow, mixtures to compression, and topology to level sets, while stating three structural results on modes, Gaussian semigroups, and log-concavity.","context_count":1,"top_context_role":"background","top_context_polarity":"background","context_text":"The Annals of Statistics33. [55]Richardson, S.andGreen, P. J.(1997). On Bayesian Analysis of Mix- tures with an Unknown Number of Components (with discussion).Journal of the Royal Statistical Society Series B: Statistical Methodology59731- 792. [56]Rigollet, P.andVert, R.(2009). Optimal rates for plug-in estimators of density level sets.Bernoulli15. [57]Rinaldo, A.andWasserman, L.(2010). Generalized density clustering. The Annals of Statistics38. [58]Rosenblatt, M.(1956). Remarks on Some Nonparametric Estimates of a Density Function.The Annals of Mathematical Statistics27832-837. [59]Samworth, R. J.andWand, M. P.(2010). Asymptotics and optimal bandwidth selection for highest density region estimation."},{"citing_arxiv_id":"2605.31192","ref_index":15,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"The Regularizing Power of Language-Training Deepfake Detectors","primary_cat":"cs.CV","submitted_at":"2026-05-29T12:01:17+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"A dual-encoder deepfake detector pairs a frozen specialist with a LoRA-tuned MLLM, trained first via binary alignment then via RL to reward explain-then-classify behavior, yielding improved cross-dataset performance and interpretability.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.30593","ref_index":66,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Scientific Machine Learning for Engine Health Management and Remaining Useful Life Prediction","primary_cat":"cs.LG","submitted_at":"2026-05-28T21:39:53+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":4.0,"formal_verification":"none","one_line_summary":"Multi-task framework with shared convolutional-LSTM encoder predicts TGTU, DTGT, and RUL plus empirical prediction intervals for turbine engine health management.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.29058","ref_index":38,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Parallel Adaptive Multi-Objective Evolutionary Learning of Discretized Bayesian Network Classifiers for Clinical Data","primary_cat":"cs.LG","submitted_at":"2026-05-27T20:06:58+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":4.0,"formal_verification":"none","one_line_summary":"Enhanced Baymex with parallelization and adaptive steering yields statistically similar or better classification performance than decision trees, logistic regression, naive Bayes and random forests on clinical data while returning multiple compact, inspectable Bayesian networks.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.25717","ref_index":58,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"FLOATBench: A Dataset and Benchmark for Floating Offshore Wind Turbine Tower Fatigue","primary_cat":"cs.AI","submitted_at":"2026-05-25T11:18:24+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":8.0,"formal_verification":"none","one_line_summary":"FLOATBench is a tabular benchmark dataset with 582,120 fatigue labels from 19,404 OpenFAST simulations of three 22 MW FOWT towers, featuring alpha-shape regime partitioning and three evaluation protocols for surrogate models.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.25474","ref_index":4,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"TypedCSIP: Typed Counterfactual Pretraining for Chinese Legislative Conflict Classification","primary_cat":"cs.CL","submitted_at":"2026-05-25T06:26:46+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"TypedCSIP applies typed counterfactual selective intervention pretraining on expert revisions to lift macro-F1 by 0.9-1.3 pp on the LCR-CN Chinese legislative conflict classification benchmark under a pre-registered multi-seed test.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.24721","ref_index":6,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"ROC Analysis for Evaluating Translation Quality Estimation Systems","primary_cat":"cs.CL","submitted_at":"2026-05-23T20:23:59+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":3.0,"formal_verification":"none","one_line_summary":"ROC analysis is proposed for evaluating translation quality estimation systems, claimed to match existing methods while providing actionable business insights.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.23191","ref_index":23,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation","primary_cat":"cs.LG","submitted_at":"2026-05-22T03:17:29+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"RankElastor mitigates embedding collapse via spectrum-robust token mixing and GLU-based P-FFNs, yielding better performance and scaling on industrial recommendation datasets.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.22977","ref_index":146,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Absorbing Many-Body Correlations into Core-Optimized Orbitals","primary_cat":"quant-ph","submitted_at":"2026-05-21T19:15:57+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"COO co-optimizes orbitals with TrimCI to absorb many-body correlations into the basis, cutting determinant count by orders of magnitude for iron-sulfur clusters versus localized bases or DMRG.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.26129","ref_index":105,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Unified Cosmological Scenario in Holographic $f(Q)$ gravity: From Inflation to Late-Time Acceleration","primary_cat":"physics.gen-ph","submitted_at":"2026-05-20T07:28:03+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":4.0,"formal_verification":"none","one_line_summary":"A holographic f(Q) = ζ Q^n model yields slow-roll inflation consistent with Planck 2018 and late-time expansion compatible with CC+BAO data via CPL parametrization, with mild high-z deviations from ΛCDM.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.20025","ref_index":6,"ref_count":2,"confidence":0.9,"is_internal_anchor":false,"paper_title":"AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration","primary_cat":"cs.AI","submitted_at":"2026-05-19T15:49:51+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"AutoResearchClaw introduces a multi-agent research pipeline with debate, self-healing, verifiable outputs, human collaboration modes, and cross-run evolution that outperforms AI Scientist v2 by 54.7% on ARC-Bench.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.19807","ref_index":145,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Reliable model selection in the presence of parameter non-identifiability","primary_cat":"stat.ME","submitted_at":"2026-05-19T13:06:23+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Proposes adaptive multiple importance sampling for robust Bayesian model evidence estimation under parameter non-identifiability, shown to outperform deterministic methods on ecological case studies while being cheaper than MCMC.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.18206","ref_index":95,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"A tool to determine the degrees of freedom in tree-structured varying coefficient models","primary_cat":"stat.ME","submitted_at":"2026-05-18T10:45:31+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"A formula approximating degrees of freedom for tree-structured varying coefficient models is proposed to improve BIC model selection over naive parameter counting.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.17554","ref_index":6,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps","primary_cat":"cs.AI","submitted_at":"2026-05-17T17:32:52+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":8.0,"formal_verification":"none","one_line_summary":"A new benchmark with cognitive traps shows frontier deep research agents achieve only 13-16% acceptance on expert consulting tasks under combined verifier and rubric criteria.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.16846","ref_index":14,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Efficient frequentist fractional polynomials for skewed dose-response and survival data: a variance-reducing alternative to OLS-FP","primary_cat":"stat.ME","submitted_at":"2026-05-16T07:07:26+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"full","one_line_summary":"A moment-based alternative to OLS for fractional polynomials achieves closed-form variance reduction for skewed errors by the factor g2 = 1 - gamma3^2/(2+gamma4) while preserving coverage and reverting to OLS under symmetry.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.15920","ref_index":10,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Unsupervised Domain Shift Detection with Interpretable Subspace Attribution","primary_cat":"stat.ML","submitted_at":"2026-05-15T12:58:00+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"An unsupervised method detects domain shifts via localized density anomaly search in feature space, attributes the shift to a minimal subspace, and extracts balanced subsets from two unlabeled datasets.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.12089","ref_index":30,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Power Studies For Two-Sample and Goodness-of-Fit Methods For Multivariate Data","primary_cat":"stat.ME","submitted_at":"2026-05-12T13:10:26+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":4.0,"formal_verification":"none","one_line_summary":"No single goodness-of-fit or two-sample test reliably detects deviations across all multivariate scenarios, so the authors recommend a small combination of methods that together cover the simulated cases.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.09228","ref_index":108,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"ProactBench: Beyond What The User Asked For","primary_cat":"cs.LG","submitted_at":"2026-05-09T23:56:04+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"ProactBench measures LLM conversational proactivity in three phases using 198 multi-agent dialogues and finds recovery behavior hard to predict from existing benchmarks.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.10965","ref_index":18,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Constraining Dark Energy Dynamics in Curved Spacetime with Current Observations","primary_cat":"physics.gen-ph","submitted_at":"2026-05-08T10:57:13+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":3.0,"formal_verification":"none","one_line_summary":"Observational constraints on a dark energy EoS parametrization in curved spacetime yield α ≈ 0.35 (0.56) and Ω_k0 that changes sign with ANN data reconstruction.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.08251","ref_index":38,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"The finite-shot help-harm boundary of zero-noise extrapolation","primary_cat":"quant-ph","submitted_at":"2026-05-07T17:01:52+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"Zero-noise extrapolation has a finite-shot help-harm boundary below which it increases local mean-squared error due to variance penalties outweighing bias reduction.","context_count":1,"top_context_role":"method","top_context_polarity":"use_method","context_text":"ZNE estimates,∆ MSE, crossings,bq,bsobs, andbCfit. 9 Empirical validation with Qiskit Aer and IBM hardware The empirical component tests whether the help-harm boundary exponent separates by observ- able variance class under a reproducible Qiskit Aer pipeline using Qiskit [36], Mitiq-compatible folding conventions [37], and a raw-count bootstrap workflow [38, 39]. Aer provides the cen- tral exponent evidence becauseϵ, budgets, interpolation, and resampling are controlled; IBM Quantum runs provide traceable hardware consistency checks, not asymptotic exponent fits. 13 Table 3: Assumption checks for empirical tests. The first two rows are theorem-validating regimes; the remaining rows are robustness or limitation regimes."},{"citing_arxiv_id":"2605.06742","ref_index":83,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Bayesian Modeling and Prediction of Generalized Contact Matrices","primary_cat":"stat.ME","submitted_at":"2026-05-07T14:30:57+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"A Bayesian model for multi-feature contact matrices that uses tensor structures and contingency table theory to satisfy structural constraints and impute missing contact features, validated on simulations and US/German survey data.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.03326","ref_index":45,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Sequential Bayesian Monitoring for Recoverable and Drifting Processes","primary_cat":"stat.CO","submitted_at":"2026-05-05T03:33:28+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Bayesian procedures are derived to compute the posterior probability that a recoverable process is currently in control or that a drifting latent parameter lies in an acceptable region.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.01775","ref_index":63,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"A Semi-Supervised Kernel Two-Sample Test","primary_cat":"stat.ML","submitted_at":"2026-05-03T08:26:20+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"A semi-supervised kernel two-sample test integrates unlabeled covariate data to achieve asymptotic normality under the null, higher power than standard kernel tests, and consistency against fixed and local alternatives.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2604.23478","ref_index":1,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"JudgeSense: A Benchmark for Prompt Sensitivity in LLM-as-a-Judge Systems","primary_cat":"cs.CL","submitted_at":"2026-04-26T00:08:30+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"JudgeSense benchmark shows LLM judge consistency does not reliably improve with model scale, with coherence most sensitive to prompt changes and factuality more stable.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2604.18653","ref_index":40,"ref_count":2,"confidence":0.9,"is_internal_anchor":false,"paper_title":"How to quantify direct correlations between variables","primary_cat":"stat.ME","submitted_at":"2026-04-20T06:15:06+00:00","verdict":"CONDITIONAL","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Regularized Jensen-Shannon analogues of KL-based direct-correlation measures are constructed, bounded in [0,1], shown to satisfy the metric property, and their closed-form maxima under fixed alphabet sizes are derived.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2604.17698","ref_index":116,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"The Geometric Canary: Predicting Steerability and Detecting Drift via Representational Stability","primary_cat":"cs.LG","submitted_at":"2026-04-20T01:24:45+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Task-aligned supervised geometric stability predicts linear steerability with high accuracy while unsupervised stability detects representational drift earlier and with lower false alarms than CKA or Procrustes.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null}],"limit":50,"offset":0}